[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-e00683992ecc047f-mastering-the-ai-stack-from-agents-to-energy-summary":3,"summaries-facets-categories":140,"summary-related-e00683992ecc047f-mastering-the-ai-stack-from-agents-to-energy-summary":7044},{"id":4,"title":5,"ai":6,"body":13,"categories":103,"created_at":105,"date_modified":105,"description":98,"extension":106,"faq":105,"featured":107,"kicker_label":105,"meta":108,"navigation":119,"path":120,"published_at":121,"question":105,"scraped_at":122,"seo":123,"sitemap":124,"source_id":125,"source_name":126,"source_type":127,"source_url":128,"stem":129,"tags":130,"thumbnail_url":135,"tldr":136,"tweet":137,"unknown_tags":138,"__hash__":139},"summaries\u002Fsummaries\u002Fe00683992ecc047f-mastering-the-ai-stack-from-agents-to-energy-summary.md","Mastering the AI Stack: From Agents to Energy",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",7856,584,3314,0.00284,{"type":14,"value":15,"toc":97},"minimark",[16,21,25,60,63,67,70],[17,18,20],"h2",{"id":19},"the-full-stack-approach-to-ai","The Full-Stack Approach to AI",[22,23,24],"p",{},"To effectively build and optimize AI applications, developers must move beyond the application layer and understand the entire \"five-layer cake\" of AI infrastructure. This hierarchy consists of:",[26,27,28,36,42,48,54],"ol",{},[29,30,31,35],"li",{},[32,33,34],"strong",{},"Application Layer:"," Agentic coding frameworks and end-user tools.",[29,37,38,41],{},[32,39,40],{},"Model Layer:"," The LLMs themselves and their reasoning capabilities.",[29,43,44,47],{},[32,45,46],{},"Infrastructure Layer:"," Data center architecture and compute resources.",[29,49,50,53],{},[32,51,52],{},"Chip Layer:"," The hardware (GPUs\u002FTPUs) driving the compute.",[29,55,56,59],{},[32,57,58],{},"Energy Layer:"," The power requirements and sustainability constraints of data centers.",[22,61,62],{},"Understanding these layers is not just academic; it is practical. For example, knowing how inference engines function allows developers to optimize token generation speeds and make informed decisions about running models locally versus in the cloud. Hardware bottlenecks directly dictate which models can be run at home and what performance levels are achievable.",[17,64,66],{"id":65},"the-developer-to-creator-transition","The Developer-to-Creator Transition",[22,68,69],{},"Transitioning from a 10-year software engineering career to full-time technical content creation requires a shift in mindset from building products for a company to building a personal brand around curiosity. Key takeaways for technical creators include:",[71,72,73,79,85,91],"ul",{},[29,74,75,78],{},[32,76,77],{},"Follow Your Curiosity:"," Trust that if a technical topic (like inference engines) is genuinely interesting to you, there is an audience that wants to learn about it. Authenticity is more sustainable than chasing viral trends.",[29,80,81,84],{},[32,82,83],{},"Compound Skills:"," Previous failed projects or side channels are not wasted time; they provide the technical foundation (editing, storytelling, research) that accelerates future success.",[29,86,87,90],{},[32,88,89],{},"Operational Efficiency:"," As a channel grows, outsourcing administrative tasks—such as deal negotiation and correspondence—to a manager is critical. This allows the creator to focus on research and content quality rather than administrative overhead.",[29,92,93,96],{},[32,94,95],{},"The \"Paid to Learn\" Model:"," Content creation acts as a \"Goldilocks zone\" for engineers who love deep-diving into complex topics. By documenting the learning process, creators provide value to a community while simultaneously mastering the subject matter.",{"title":98,"searchDepth":99,"depth":99,"links":100},"",2,[101,102],{"id":19,"depth":99,"text":20},{"id":65,"depth":99,"text":66},[104],"AI & LLMs",null,"md",false,{"content_references":109,"triage":114},[110],{"type":111,"title":112,"context":113},"tool","Gemini","mentioned",{"relevance":115,"novelty":116,"quality":115,"actionability":116,"composite":117,"reasoning":118},4,3,3.6,"Category: AI & LLMs. The article discusses the full AI stack, which is relevant for developers looking to optimize AI applications, addressing a specific pain point about understanding infrastructure. It provides practical insights on optimizing inference engines, but lacks detailed actionable steps for implementation.",true,"\u002Fsummaries\u002Fe00683992ecc047f-mastering-the-ai-stack-from-agents-to-energy-summary","2026-05-22 16:00:11","2026-05-22 19:00:40",{"title":5,"description":98},{"loc":120},"e00683992ecc047f","Google Cloud Tech","video","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=TjPr_-X0Mko","summaries\u002Fe00683992ecc047f-mastering-the-ai-stack-from-agents-to-energy-summary",[131,132,133,134],"ai-llms","infrastructure","content-creation","inference","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FTjPr_-X0Mko\u002Fhqdefault.jpg","Understanding the full AI stack—from agentic frameworks down to data center energy requirements—is essential for developers to optimize model performance, hardware constraints, and inference efficiency.","This is a candid, conversational interview from Google I\u002FO featuring a former software engineer who transitioned into full-time technical content creation. It focuses on the creator's philosophy of \"getting paid to learn,\" the reality of managing a niche YouTube channel, and the importance of following personal curiosity over chasing algorithmic trends.",[131,132,133,134],"hJoUhbRq66b0RYID9Rn-t-HVh1_82Byvq3eTEmqpUoo",[141,143,146,148,151,153,156,159,161,163,165,167,170,172,174,176,178,181,183,185,187,189,192,195,197,199,201,203,205,207,209,211,213,215,217,219,221,223,225,227,229,231,233,235,237,239,241,244,246,248,250,252,254,256,258,260,262,264,266,268,270,273,275,277,279,281,283,285,287,289,291,293,295,297,299,301,303,305,307,309,311,314,316,318,320,322,324,326,328,330,332,334,336,338,340,343,345,347,349,351,353,355,357,359,361,363,365,367,369,371,373,375,377,379,381,383,385,387,389,391,393,395,397,399,401,403,405,408,410,412,414,416,418,420,422,424,426,428,431,433,435,437,439,441,443,445,447,449,451,453,455,457,459,461,464,466,468,470,472,474,476,478,480,482,484,487,489,491,493,495,497,499,501,503,505,507,509,511,513,515,517,519,521,523,525,527,529,531,533,535,537,539,541,543,546,548,550,553,555,557,559,561,563,565,567,569,571,573,575,577,579,581,583,585,587,589,592,594,596,598,600,602,604,606,608,610,612,614,617,619,621,623,625,627,629,631,633,635,637,639,641,643,645,647,649,651,653,655,657,659,661,663,665,667,669,671,673,675,677,679,681,683,685,687,689,691,693,695,697,699,701,703,705,707,709,711,713,715,717,719,721,723,725,727,729,731,733,735,737,739,741,743,745,747,749,751,753,755,757,759,761,763,765,767,769,771,773,775,777,779,781,783,785,787,789,791,793,795,797,799,801,803,805,807,809,811,813,815,817,819,821,823,825,827,829,831,833,835,837,839,841,843,845,847,849,851,853,855,857,859,861,863,865,867,869,871,873,875,877,879,881,883,885,887,889,891,893,895,897,899,901,904,906,908,910,912,915,917,919,921,923,925,927,929,931,933,935,937,939,942,944,946,948,950,952,954,956,958,960,962,964,966,968,970,972,974,976,978,980,982,984,986,988,990,992,994,996,998,1000,1002,1004,1006,1008,1010,1012,1014,1016,1018,1020,1022,1024,1026,1028,1030,1032,1034,1036,1038,1040,1042,1044,1046,1048,1050,1052,1054,1056,1058,1060,1062,1064,1066,1068,1070,1072,1074,1076,1078,1080,1082,1084,1086,1088,1090,1092,1094,1096,1098,1100,1102,1104,1106,1108,1110,1112,1114,1116,1118,1120,1122,1124,1126,1128,1130,1132,1134,1136,1138,1140,1142,1144,1146,1148,1150,1152,1154,1156,1158,1160,1162,1164,1166,1168,1170,1172,1174,1176,1178,1180,1182,1184,1186,1188,1190,1192,1194,1196,1198,1200,1202,1204,1206,1208,1210,1212,1214,1216,1218,1220,1222,1224,1226,1228,1230,1232,1234,1236,1238,1240,1242,1244,1246,1248,1250,1252,1254,1256,1258,1260,1262,1264,1267,1269,1271,1273,1275,1277,1279,1281,1283,1285,1287,1289,1291,1293,1295,1297,1299,1301,1303,1305,1307,1309,1311,1313,1315,1317,1319,1321,1323,1325,1327,1329,1331,1333,1335,1337,1339,1341,1343,1345,1347,1349,1351,1353,1355,1357,1359,1361,1363,1365,1367,1369,1371,1373,1375,1377,1379,1381,1383,1385,1387,1389,1391,1393,1395,1397,1399,1401,1403,1405,1407,1409,1411,1413,1415,1417,1419,1421,1423,1425,1427,1429,1431,1433,1435,1437,1439,1441,1443,1445,1447,1449,1451,1453,1455,1457,1459,1461,1463,1465,1468,1470,1472,1474,1476,1478,1480,1482,1484,1486,1488,1490,1492,1494,1496,1498,1500,1502,1504,1506,1508,1510,1512,1514,1516,1518,1520,1522,1524,1526,1528,1530,1532,1534,1536,1538,1540,1542,1544,1546,1548,1550,1552,1554,1556,1558,1560,1562,1564,1566,1568,1570,1572,1574,1576,1578,1580,1582,1584,1586,1588,1590,1592,1594,1596,1598,1600,1602,1604,1607,1609,1611,1613,1615,1617,1619,1621,1623,1625,1627,1629,1631,1633,1635,1637,1639,1641,1643,1645,1647,1649,1651,1653,1655,1657,1659,1661,1663,1665,1667,1669,1671,1673,1675,1677,1679,1681,1683,1685,1687,1689,1691,1693,1695,1697,1699,1701,1703,1705,1707,1709,1711,1713,1715,1717,1719,1721,1723,1725,1727,1729,1731,1733,1735,1737,1739,1741,1743,1745,1747,1749,1751,1753,1755,1757,1759,1761,1763,1766,1768,1770,1772,1774,1776,1778,1780,1782,1784,1786,1788,1790,1792,1794,1796,1798,1800,1802,1804,1806,1808,1810,1812,1814,1816,1818,1820,1822,1824,1826,1829,1831,1833,1835,1837,1839,1841,1843,1845,1847,1849,1851,1853,1855,1857,1859,1861,1863,1865,1867,1869,1871,1873,1875,1877,1879,1881,1883,1885,1887,1889,1891,1893,1895,1897,1899,1901,1903,1905,1907,1909,1911,1913,1915,1917,1919,1921,1923,1925,1927,1929,1931,1933,1935,1937,1939,1941,1943,1945,1947,1949,1951,1953,1955,1957,1959,1961,1963,1965,1967,1969,1971,1973,1975,1977,1979,1981,1983,1985,1987,1989,1991,1993,1995,1997,1999,2001,2003,2005,2007,2009,2011,2013,2015,2017,2019,2021,2023,2025,2027,2029,2031,2033,2035,2037,2039,2041,2043,2045,2047,2049,2051,2053,2055,2057,2059,2061,2063,2065,2067,2069,2071,2073,2075,2077,2079,2081,2083,2085,2087,2089,2091,2093,2095,2097,2099,2101,2103,2105,2107,2109,2111,2113,2115,2117,2119,2121,2123,2125,2127,2129,2131,2133,2135,2137,2139,2141,2143,2145,2147,2149,2151,2153,2155,2157,2159,2161,2163,2165,2167,2169,2171,2173,2175,2177,2179,2181,2183,2185,2187,2189,2191,2193,2195,2197,2199,2201,2203,2205,2207,2209,2211,2213,2215,2217,2219,2221,2223,2225,2227,2229,2231,2233,2235,2237,2239,2241,2243,2245,2247,2249,2251,2253,2255,2257,2259,2261,2263,2265,2267,2270,2272,2274,2276,2278,2280,2282,2284,2286,2288,2290,2292,2294,2296,2298,2300,2302,2304,2306,2308,2310,2312,2314,2316,2318,2320,2322,2324,2326,2328,2330,2332,2334,2336,2338,2340,2342,2344,2346,2348,2350,2352,2354,2356,2358,2360,2363,2365,2367,2369,2371,2373,2375,2377,2379,2381,2383,2385,2387,2389,2391,2393,2395,2397,2399,2401,2403,2405,2407,2409,2411,2413,2415,2417,2419,2421,2423,2425,2427,2429,2431,2433,2435,2437,2439,2441,2443,2445,2447,2449,2451,2453,2455,2457,2459,2461,2463,2465,2467,2469,2471,2473,2475,2477,2479,2482,2484,2486,2488,2490,2492,2494,2496,2498,2500,2502,2504,2506,2508,2510,2512,2514,2516,2518,2520,2522,2525,2527,2529,2531,2533,2535,2537,2539,2541,2543,2545,2547,2549,2551,2553,2555,2557,2559,2561,2563,2565,2567,2569,2571,2573,2575,2577,2579,2581,2583,2585,2587,2589,2591,2593,2595,2597,2599,2601,2603,2605,2607,2609,2611,2613,2615,2617,2619,2621,2623,2625,2627,2629,2631,2633,2635,2637,2639,2641,2643,2645,2647,2649,2651,2653,2655,2657,2659,2661,2663,2665,2667,2669,2671,2673,2675,2677,2679,2681,2683,2685,2687,2689,2691,2693,2695,2697,2699,2701,2703,2705,2707,2709,2711,2713,2715,2717,2719,2721,2723,2725,2727,2729,2731,2733,2735,2737,2739,2741,2743,2745,2747,2749,2751,2753,2755,2757,2759,2761,2763,2765,2767,2769,2771,2773,2775,2777,2779,2781,2783,2785,2787,2789,2791,2793,2795,2797,2799,2801,2803,2805,2807,2809,2811,2813,2815,2817,2819,2821,2823,2825,2827,2829,2831,2833,2835,2837,2839,2841,2843,2845,2847,2849,2851,2853,2855,2857,2859,2861,2863,2865,2867,2869,2871,2873,2875,2877,2879,2881,2883,2885,2887,2889,2891,2893,2895,2897,2899,2901,2903,2905,2907,2909,2911,2913,2915,2917,2919,2921,2923,2925,2927,2929,2931,2933,2935,2937,2939,2941,2943,2945,2947,2949,2951,2953,2955,2957,2959,2961,2963,2965,2967,2969,2971,2973,2975,2977,2979,2981,2983,2985,2987,2989,2991,2993,2995,2997,2999,3001,3003,3005,3007,3009,3011,3013,3015,3017,3019,3021,3023,3025,3027,3029,3031,3033,3035,3037,3039,3041,3043,3045,3047,3049,3051,3053,3055,3057,3059,3061,3063,3065,3067,3069,3071,3073,3075,3077,3079,3081,3083,3085,3087,3089,3091,3093,3095,3097,3099,3101,3103,3105,3107,3109,3111,3113,3115,3117,3119,3121,3123,3125,3127,3129,3131,3133,3135,3137,3139,3141,3143,3145,3147,3149,3151,3153,3155,3157,3159,3161,3163,3166,3168,3170,3172,3174,3176,3178,3180,3182,3184,3186,3188,3190,3192,3194,3196,3198,3200,3202,3204,3206,3208,3210,3212,3214,3216,3218,3220,3222,3224,3226,3228,3230,3232,3234,3236,3238,3240,3242,3244,3246,3248,3250,3252,3254,3256,3258,3260,3262,3264,3266,3268,3270,3272,3274,3276,3278,3280,3282,3284,3286,3288,3290,3293,3295,3297,3299,3301,3303,3305,3307,3309,3311,3313,3315,3317,3319,3321,3323,3325,3327,3329,3331,3333,3335,3337,3339,3341,3343,3345,3347,3349,3351,3353,3355,3357,3359,3361,3363,3365,3367,3369,3371,3373,3375,3377,3379,3381,3383,3385,3387,3389,3391,3393,3395,3397,3399,3401,3403,3405,3407,3409,3411,3413,3415,3417,3419,3421,3423,3425,3427,3429,3431,3433,3435,3437,3439,3441,3443,3445,3447,3449,3451,3453,3455,3457,3459,3461,3463,3465,3467,3469,3471,3473,3475,3477,3479,3481,3483,3485,3487,3489,3491,3493,3495,3497,3499,3501,3503,3505,3507,3509,3511,3513,3515,3517,3519,3521,3523,3525,3527,3529,3531,3533,3535,3537,3539,3541,3543,3545,3547,3549,3551,3553,3555,3557,3559,3561,3563,3565,3567,3569,3571,3573,3575,3577,3579,3581,3583,3585,3587,3589,3591,3593,3595,3597,3599,3601,3603,3605,3607,3609,3611,3613,3615,3617,3619,3621,3623,3625,3627,3629,3631,3633,3635,3637,3639,3641,3643,3645,3647,3649,3651,3653,3655,3657,3659,3661,3663,3665,3667,3669,3671,3673,3675,3677,3679,3681,3683,3685,3687,3689,3691,3693,3695,3697,3699,3701,3703,3705,3707,3709,3711,3713,3715,3717,3719,3721,3723,3725,3727,3729,3731,3733,3735,3737,3739,3741,3743,3745,3747,3749,3751,3753,3755,3757,3759,3761,3763,3765,3767,3769,3771,3773,3775,3777,3779,3781,3783,3785,3787,3789,3791,3793,3795,3797,3799,3801,3803,3805,3807,3809,3811,3813,3815,3817,3819,3821,3823,3825,3827,3829,3831,3833,3835,3837,3839,3841,3843,3845,3847,3849,3851,3853,3855,3857,3859,3861,3863,3865,3867,3869,3871,3873,3875,3877,3879,3881,3883,3885,3887,3889,3891,3893,3895,3897,3899,3901,3903,3905,3907,3909,3911,3913,3915,3917,3919,3921,3923,3925,3927,3929,3931,3933,3935,3937,3939,3941,3943,3945,3947,3949,3951,3953,3955,3957,3959,3961,3963,3965,3967,3969,3971,3973,3975,3977,3979,3981,3983,3985,3987,3989,3991,3993,3995,3997,3999,4001,4003,4005,4007,4009,4011,4013,4015,4017,4019,4021,4023,4025,4027,4029,4031,4033,4035,4037,4039,4041,4043,4045,4047,4049,4051,4053,4055,4057,4059,4061,4063,4065,4067,4069,4071,4073,4075,4077,4079,4081,4083,4085,4087,4089,4091,4093,4095,4097,4099,4101,4103,4105,4107,4109,4111,4113,4115,4117,4119,4121,4123,4125,4127,4129,4131,4133,4135,4137,4139,4141,4143,4145,4147,4149,4151,4153,4155,4157,4159,4161,4163,4165,4167,4169,4171,4173,4175,4177,4179,4181,4183,4185,4187,4189,4191,4193,4195,4197,4199,4201,4203,4205,4207,4209,4211,4213,4215,4217,4219,4221,4223,4225,4227,4229,4231,4233,4235,4237,4239,4241,4243,4245,4247,4249,4251,4253,4255,4257,4259,4261,4263,4265,4267,4269,4271,4273,4275,4277,4279,4281,4283,4285,4287,4289,4291,4293,4295,4297,4299,4301,4303,4305,4307,4309,4311,4313,4315,4317,4319,4321,4323,4325,4327,4329,4331,4333,4335,4337,4339,4341,4343,4345,4347,4349,4351,4353,4355,4357,4359,4361,4363,4365,4367,4369,4371,4373,4375,4377,4379,4381,4383,4385,4387,4389,4391,4393,4395,4397,4399,4401,4403,4405,4407,4409,4411,4413,4415,4417,4419,4421,4423,4425,4427,4429,4431,4433,4435,4437,4439,4441,4443,4445,4447,4449,4451,4453,4455,4457,4459,4461,4463,4465,4467,4469,4471,4473,4475,4477,4479,4481,4483,4485,4487,4489,4491,4493,4495,4497,4499,4501,4503,4505,4507,4509,4511,4513,4515,4517,4519,4521,4523,4525,4527,4529,4531,4533,4535,4537,4539,4541,4543,4545,4547,4549,4551,4553,4555,4557,4559,4561,4563,4565,4567,4569,4571,4573,4575,4578,4580,4582,4584,4586,4588,4590,4592,4594,4596,4598,4600,4602,4604,4606,4608,4610,4612,4614,4616,4618,4620,4622,4624,4626,4628,4630,4632,4634,4636,4638,4640,4642,4644,4646,4648,4650,4652,4654,4656,4658,4660,4662,4664,4666,4668,4670,4672,4674,4676,4678,4680,4682,4684,4686,4688,4690,4692,4694,4696,4698,4700,4702,4704,4706,4708,4710,4712,4714,4716,4718,4720,4722,4724,4726,4728,4730,4732,4734,4736,4738,4740,4742,4744,4746,4748,4750,4752,4754,4756,4758,4760,4762,4764,4766,4768,4770,4772,4774,4776,4778,4780,4782,4784,4786,4788,4790,4792,4794,4796,4798,4800,4802,4804,4806,4808,4810,4812,4814,4816,4818,4820,4822,4824,4826,4828,4830,4832,4834,4836,4838,4840,4842,4844,4846,4848,4850,4852,4854,4856,4858,4860,4862,4864,4866,4868,4870,4872,4874,4876,4878,4880,4882,4884,4886,4888,4890,4892,4894,4896,4898,4900,4902,4904,4906,4908,4910,4912,4914,4916,4918,4920,4922,4924,4926,4928,4930,4932,4934,4936,4938,4940,4942,4944,4946,4948,4950,4952,4954,4956,4958,4960,4962,4964,4966,4968,4970,4972,4974,4976,4978,4980,4982,4984,4986,4988,4990,4992,4994,4996,4998,5000,5002,5004,5006,5008,5010,5012,5014,5016,5018,5020,5022,5024,5026,5028,5030,5032,5034,5036,5038,5040,5042,5044,5046,5048,5050,5052,5054,5056,5058,5060,5062,5064,5066,5068,5070,5072,5074,5076,5078,5080,5082,5084,5086,5088,5090,5092,5094,5096,5098,5100,5102,5104,5106,5108,5110,5112,5114,5116,5118,5120,5122,5124,5126,5128,5130,5132,5134,5136,5138,5140,5142,5144,5146,5148,5150,5152,5154,5156,5158,5160,5162,5164,5166,5168,5170,5172,5174,5176,5178,5180,5182,5184,5186,5188,5190,5192,5194,5196,5198,5200,5202,5204,5206,5208,5210,5212,5214,5216,5218,5220,5222,5224,5226,5228,5230,5232,5234,5236,5238,5240,5242,5244,5246,5248,5250,5252,5254,5256,5258,5260,5262,5264,5266,5268,5270,5272,5274,5276,5278,5280,5282,5284,5286,5288,5290,5292,5294,5296,5298,5300,5302,5304,5306,5308,5310,5312,5314,5316,5318,5320,5322,5324,5326,5328,5330,5332,5334,5336,5338,5340,5342,5344,5346,5348,5350,5352,5354,5356,5358,5360,5362,5364,5366,5368,5370,5372,5374,5376,5378,5380,5382,5384,5386,5388,5390,5392,5394,5396,5398,5400,5402,5404,5406,5408,5410,5412,5414,5416,5418,5420,5422,5424,5426,5428,5430,5432,5435,5437,5439,5441,5443,5445,5447,5449,5451,5453,5455,5457,5459,5461,5463,5465,5467,5469,5471,5473,5475,5477,5479,5481,5483,5485,5487,5489,5491,5493,5495,5497,5499,5501,5503,5505,5507,5509,5511,5513,5515,5517,5519,5521,5523,5525,5527,5529,5531,5533,5535,5537,5539,5541,5543,5545,5547,5549,5551,5553,5555,5557,5559,5561,5563,5565,5567,5569,5571,5573,5575,5577,5579,5581,5583,5585,5587,5589,5591,5593,5595,5597,5599,5601,5603,5605,5607,5609,5611,5613,5615,5617,5619,5621,5623,5625,5627,5629,5631,5633,5635,5638,5640,5642,5644,5646,5648,5650,5652,5654,5656,5658,5660,5662,5664,5666,5668,5670,5672,5674,5676,5678,5680,5682,5684,5686,5688,5690,5692,5694,5696,5698,5700,5702,5704,5706,5708,5710,5712,5714,5716,5718,5720,5722,5724,5726,5728,5730,5732,5734,5736,5738,5740,5742,5744,5746,5748,5750,5752,5754,5756,5758,5760,5762,5764,5766,5768,5770,5772,5774,5776,5778,5780,5782,5784,5786,5788,5790,5792,5794,5796,5798,5800,5802,5804,5806,5808,5810,5812,5814,5816,5818,5820,5822,5824,5826,5828,5830,5832,5834,5836,5838,5840,5842,5844,5846,5848,5850,5852,5854,5856,5858,5860,5862,5864,5866,5868,5870,5872,5874,5876,5878,5880,5882,5884,5886,5888,5890,5892,5894,5896,5898,5900,5902,5904,5906,5908,5910,5912,5914,5916,5918,5920,5922,5924,5926,5928,5930,5932,5934,5936,5938,5940,5942,5944,5946,5948,5950,5952,5954,5956,5958,5960,5962,5964,5966,5968,5970,5972,5974,5976,5978,5980,5982,5984,5986,5988,5990,5992,5994,5996,5998,6000,6002,6004,6006,6008,6010,6012,6014,6016,6018,6020,6022,6024,6026,6028,6030,6032,6034,6036,6038,6040,6042,6044,6046,6048,6050,6052,6054,6056,6058,6060,6062,6064,6066,6068,6070,6072,6074,6076,6078,6080,6082,6084,6086,6088,6090,6092,6094,6096,6098,6100,6102,6104,6106,6108,6110,6112,6114,6116,6118,6120,6122,6124,6126,6128,6130,6132,6134,6136,6138,6140,6142,6144,6146,6148,6150,6152,6154,6156,6158,6160,6162,6164,6166,6168,6170,6172,6174,6176,6178,6180,6182,6184,6186,6188,6190,6192,6194,6196,6198,6200,6202,6204,6206,6208,6210,6212,6214,6216,6218,6220,6222,6224,6226,6228,6230,6232,6234,6236,6238,6240,6242,6244,6246,6248,6250,6252,6254,6256,6258,6260,6262,6264,6266,6268,6270,6272,6274,6276,6278,6280,6282,6284,6286,6288,6290,6292,6294,6296,6298,6300,6302,6304,6306,6308,6310,6312,6314,6316,6318,6320,6322,6324,6326,6328,6330,6332,6334,6336,6338,6340,6342,6344,6346,6348,6350,6352,6354,6356,6358,6360,6362,6364,6366,6368,6370,6372,6374,6376,6378,6380,6382,6384,6386,6388,6390,6392,6394,6396,6398,6400,6402,6404,6406,6408,6410,6412,6414,6416,6418,6420,6422,6424,6426,6428,6430,6432,6434,6436,6438,6440,6442,6444,6446,6448,6450,6452,6454,6456,6458,6460,6462,6464,6466,6468,6470,6472,6474,6476,6478,6480,6482,6484,6486,6488,6490,6492,6494,6496,6498,6500,6502,6504,6506,6508,6510,6512,6514,6516,6518,6520,6522,6524,6526,6528,6530,6532,6534,6536,6538,6540,6542,6544,6546,6548,6550,6552,6554,6556,6558,6560,6562,6564,6566,6568,6570,6572,6574,6576,6578,6580,6582,6584,6586,6588,6590,6592,6594,6596,6598,6600,6602,6604,6606,6608,6610,6612,6614,6616,6618,6620,6622,6624,6626,6628,6630,6632,6634,6636,6638,6640,6642,6644,6646,6648,6650,6652,6654,6656,6658,6660,6662,6664,6666,6668,6670,6672,6674,6676,6678,6680,6682,6684,6686,6688,6690,6692,6694,6696,6698,6700,6702,6704,6706,6708,6710,6712,6714,6716,6718,6720,6722,6724,6726,6728,6730,6732,6734,6736,6738,6740,6742,6744,6746,6748,6750,6752,6754,6756,6758,6760,6762,6764,6766,6768,6770,6772,6774,6776,6778,6780,6782,6784,6786,6788,6790,6792,6794,6796,6798,6800,6802,6804,6806,6808,6810,6812,6814,6816,6818,6820,6822,6824,6826,6828,6830,6832,6834,6836,6838,6840,6842,6844,6846,6848,6850,6852,6854,6856,6858,6860,6862,6864,6866,6868,6870,6872,6874,6876,6878,6880,6882,6884,6886,6888,6890,6892,6894,6896,6898,6900,6902,6904,6906,6908,6910,6912,6914,6916,6918,6920,6922,6924,6926,6928,6930,6932,6934,6936,6938,6940,6942,6944,6946,6948,6950,6952,6954,6956,6958,6960,6962,6964,6966,6968,6970,6972,6974,6976,6978,6980,6982,6984,6986,6988,6990,6992,6994,6996,6998,7000,7002,7004,7006,7008,7010,7012,7014,7016,7018,7020,7022,7024,7026,7028,7030,7032,7034,7036,7038,7040,7042],{"categories":142},[104],{"categories":144},[145],"Developer Productivity",{"categories":147},[104],{"categories":149},[150],"Business & SaaS",{"categories":152},[104],{"categories":154},[155],"AI Automation",{"categories":157},[158],"Product Strategy",{"categories":160},[155],{"categories":162},[104],{"categories":164},[145],{"categories":166},[155],{"categories":168},[169],"Software Engineering",{"categories":171},[104],{"categories":173},[150],{"categories":175},[],{"categories":177},[104],{"categories":179},[180],"Inference & Serving",{"categories":182},[104],{"categories":184},[104],{"categories":186},[155],{"categories":188},[],{"categories":190},[191],"AI News & Trends",{"categories":193},[194],"Data Science & Visualization",{"categories":196},[155],{"categories":198},[104],{"categories":200},[104],{"categories":202},[150],{"categories":204},[145],{"categories":206},[104],{"categories":208},[155],{"categories":210},[191],{"categories":212},[104],{"categories":214},[155],{"categories":216},[155],{"categories":218},[104],{"categories":220},[104],{"categories":222},[155],{"categories":224},[104],{"categories":226},[104],{"categories":228},[104],{"categories":230},[155],{"categories":232},[191],{"categories":234},[104],{"categories":236},[104],{"categories":238},[104],{"categories":240},[],{"categories":242},[243],"Design & Frontend",{"categories":245},[194],{"categories":247},[191],{"categories":249},[104],{"categories":251},[104],{"categories":253},[104],{"categories":255},[],{"categories":257},[104],{"categories":259},[104],{"categories":261},[155],{"categories":263},[169],{"categories":265},[104],{"categories":267},[155],{"categories":269},[104],{"categories":271},[272],"Marketing & Growth",{"categories":274},[243],{"categories":276},[104],{"categories":278},[155],{"categories":280},[104],{"categories":282},[104],{"categories":284},[169],{"categories":286},[104],{"categories":288},[],{"categories":290},[],{"categories":292},[243],{"categories":294},[104],{"categories":296},[155],{"categories":298},[145],{"categories":300},[169],{"categories":302},[155],{"categories":304},[243],{"categories":306},[158],{"categories":308},[104],{"categories":310},[169],{"categories":312},[313],"DevOps & Cloud",{"categories":315},[155],{"categories":317},[158],{"categories":319},[191],{"categories":321},[104],{"categories":323},[],{"categories":325},[104],{"categories":327},[104],{"categories":329},[],{"categories":331},[155],{"categories":333},[169],{"categories":335},[],{"categories":337},[169],{"categories":339},[104],{"categories":341},[342],"Governance & Standards",{"categories":344},[150],{"categories":346},[],{"categories":348},[],{"categories":350},[104],{"categories":352},[104],{"categories":354},[155],{"categories":356},[104],{"categories":358},[104],{"categories":360},[155],{"categories":362},[104],{"categories":364},[104],{"categories":366},[104],{"categories":368},[],{"categories":370},[169],{"categories":372},[],{"categories":374},[],{"categories":376},[104],{"categories":378},[169],{"categories":380},[],{"categories":382},[169],{"categories":384},[104],{"categories":386},[104],{"categories":388},[272],{"categories":390},[104],{"categories":392},[104],{"categories":394},[104],{"categories":396},[243],{"categories":398},[243],{"categories":400},[104],{"categories":402},[169],{"categories":404},[155],{"categories":406},[407],"GovTech & Public-Sector Adoption",{"categories":409},[169],{"categories":411},[104],{"categories":413},[104],{"categories":415},[104],{"categories":417},[155],{"categories":419},[155],{"categories":421},[194],{"categories":423},[104],{"categories":425},[191],{"categories":427},[155],{"categories":429},[430],"Legal AI Tools",{"categories":432},[104],{"categories":434},[155],{"categories":436},[104],{"categories":438},[272],{"categories":440},[155],{"categories":442},[158],{"categories":444},[104],{"categories":446},[169],{"categories":448},[407],{"categories":450},[],{"categories":452},[155],{"categories":454},[],{"categories":456},[150],{"categories":458},[155],{"categories":460},[155],{"categories":462},[463],"RAG & Retrieval",{"categories":465},[150],{"categories":467},[104],{"categories":469},[169],{"categories":471},[169],{"categories":473},[313],{"categories":475},[243],{"categories":477},[155],{"categories":479},[104],{"categories":481},[104],{"categories":483},[],{"categories":485},[486],"Agents & Orchestration",{"categories":488},[169],{"categories":490},[104],{"categories":492},[],{"categories":494},[155],{"categories":496},[150],{"categories":498},[],{"categories":500},[104],{"categories":502},[],{"categories":504},[104],{"categories":506},[145],{"categories":508},[169],{"categories":510},[150],{"categories":512},[104],{"categories":514},[155],{"categories":516},[104],{"categories":518},[191],{"categories":520},[104],{"categories":522},[],{"categories":524},[104],{"categories":526},[],{"categories":528},[104],{"categories":530},[169],{"categories":532},[104],{"categories":534},[155],{"categories":536},[194],{"categories":538},[],{"categories":540},[104],{"categories":542},[243],{"categories":544},[545],"Models & Frontier Labs",{"categories":547},[],{"categories":549},[243],{"categories":551},[552],"Regulation & Governance of AI",{"categories":554},[158],{"categories":556},[155],{"categories":558},[],{"categories":560},[104],{"categories":562},[104],{"categories":564},[155],{"categories":566},[155],{"categories":568},[191],{"categories":570},[104],{"categories":572},[150],{"categories":574},[104],{"categories":576},[155],{"categories":578},[],{"categories":580},[169],{"categories":582},[155],{"categories":584},[104],{"categories":586},[158],{"categories":588},[104],{"categories":590},[591],"AI Policy & Regulation",{"categories":593},[],{"categories":595},[104],{"categories":597},[155],{"categories":599},[158],{"categories":601},[155],{"categories":603},[104],{"categories":605},[104],{"categories":607},[104],{"categories":609},[155],{"categories":611},[],{"categories":613},[194],{"categories":615},[616],"Evals & Reliability",{"categories":618},[104],{"categories":620},[104],{"categories":622},[],{"categories":624},[145],{"categories":626},[407],{"categories":628},[591],{"categories":630},[104],{"categories":632},[150],{"categories":634},[104],{"categories":636},[155],{"categories":638},[104],{"categories":640},[155],{"categories":642},[486],{"categories":644},[104],{"categories":646},[169],{"categories":648},[104],{"categories":650},[],{"categories":652},[243],{"categories":654},[],{"categories":656},[104],{"categories":658},[407],{"categories":660},[104],{"categories":662},[104],{"categories":664},[104],{"categories":666},[],{"categories":668},[104],{"categories":670},[243],{"categories":672},[169],{"categories":674},[],{"categories":676},[104],{"categories":678},[],{"categories":680},[155],{"categories":682},[104],{"categories":684},[243],{"categories":686},[],{"categories":688},[104],{"categories":690},[104],{"categories":692},[194],{"categories":694},[155],{"categories":696},[104],{"categories":698},[150],{"categories":700},[155],{"categories":702},[104],{"categories":704},[104],{"categories":706},[169],{"categories":708},[243],{"categories":710},[104],{"categories":712},[155],{"categories":714},[],{"categories":716},[169],{"categories":718},[155],{"categories":720},[194],{"categories":722},[],{"categories":724},[104],{"categories":726},[191],{"categories":728},[104],{"categories":730},[],{"categories":732},[104],{"categories":734},[104],{"categories":736},[104],{"categories":738},[150,272],{"categories":740},[],{"categories":742},[169],{"categories":744},[104],{"categories":746},[104],{"categories":748},[155],{"categories":750},[104],{"categories":752},[],{"categories":754},[],{"categories":756},[104],{"categories":758},[243],{"categories":760},[104],{"categories":762},[],{"categories":764},[104],{"categories":766},[313],{"categories":768},[],{"categories":770},[155],{"categories":772},[191],{"categories":774},[104],{"categories":776},[104],{"categories":778},[243],{"categories":780},[],{"categories":782},[191],{"categories":784},[104],{"categories":786},[180],{"categories":788},[104],{"categories":790},[104],{"categories":792},[155],{"categories":794},[191],{"categories":796},[545],{"categories":798},[104],{"categories":800},[272],{"categories":802},[],{"categories":804},[155],{"categories":806},[150],{"categories":808},[169],{"categories":810},[104],{"categories":812},[155],{"categories":814},[],{"categories":816},[104,313],{"categories":818},[104],{"categories":820},[104],{"categories":822},[104],{"categories":824},[155],{"categories":826},[104,169],{"categories":828},[194],{"categories":830},[104],{"categories":832},[104],{"categories":834},[104],{"categories":836},[169],{"categories":838},[104],{"categories":840},[155],{"categories":842},[155],{"categories":844},[591],{"categories":846},[272],{"categories":848},[104],{"categories":850},[155],{"categories":852},[104],{"categories":854},[104],{"categories":856},[155],{"categories":858},[],{"categories":860},[155],{"categories":862},[104],{"categories":864},[104],{"categories":866},[155],{"categories":868},[104],{"categories":870},[104,150],{"categories":872},[104],{"categories":874},[150],{"categories":876},[],{"categories":878},[243],{"categories":880},[243],{"categories":882},[104],{"categories":884},[],{"categories":886},[],{"categories":888},[104],{"categories":890},[191],{"categories":892},[],{"categories":894},[145],{"categories":896},[104],{"categories":898},[169],{"categories":900},[104],{"categories":902},[903],"Generative UI & Design-to-Code",{"categories":905},[104],{"categories":907},[104],{"categories":909},[243],{"categories":911},[104],{"categories":913},[914],"Algorithmic Accountability",{"categories":916},[155],{"categories":918},[169],{"categories":920},[191],{"categories":922},[243],{"categories":924},[104],{"categories":926},[],{"categories":928},[158],{"categories":930},[104],{"categories":932},[104],{"categories":934},[104],{"categories":936},[104],{"categories":938},[155],{"categories":940},[941],"MLOps & Infrastructure",{"categories":943},[104],{"categories":945},[104],{"categories":947},[104],{"categories":949},[104],{"categories":951},[104],{"categories":953},[169],{"categories":955},[191],{"categories":957},[104],{"categories":959},[158],{"categories":961},[145],{"categories":963},[104],{"categories":965},[155],{"categories":967},[313],{"categories":969},[104],{"categories":971},[150],{"categories":973},[104],{"categories":975},[243],{"categories":977},[104],{"categories":979},[104],{"categories":981},[155],{"categories":983},[],{"categories":985},[],{"categories":987},[104],{"categories":989},[180],{"categories":991},[243],{"categories":993},[191],{"categories":995},[194],{"categories":997},[],{"categories":999},[104],{"categories":1001},[104],{"categories":1003},[150],{"categories":1005},[155],{"categories":1007},[104],{"categories":1009},[104],{"categories":1011},[104],{"categories":1013},[104],{"categories":1015},[191],{"categories":1017},[180],{"categories":1019},[104],{"categories":1021},[243],{"categories":1023},[104],{"categories":1025},[],{"categories":1027},[155],{"categories":1029},[169],{"categories":1031},[],{"categories":1033},[104],{"categories":1035},[104],{"categories":1037},[155],{"categories":1039},[169],{"categories":1041},[104],{"categories":1043},[194],{"categories":1045},[243],{"categories":1047},[],{"categories":1049},[104],{"categories":1051},[],{"categories":1053},[104],{"categories":1055},[],{"categories":1057},[104],{"categories":1059},[104],{"categories":1061},[158],{"categories":1063},[150],{"categories":1065},[155],{"categories":1067},[155],{"categories":1069},[],{"categories":1071},[104],{"categories":1073},[145],{"categories":1075},[104],{"categories":1077},[104],{"categories":1079},[150],{"categories":1081},[191],{"categories":1083},[145],{"categories":1085},[],{"categories":1087},[104],{"categories":1089},[],{"categories":1091},[104],{"categories":1093},[],{"categories":1095},[191],{"categories":1097},[191],{"categories":1099},[],{"categories":1101},[486],{"categories":1103},[104],{"categories":1105},[243],{"categories":1107},[169],{"categories":1109},[],{"categories":1111},[430],{"categories":1113},[155],{"categories":1115},[150],{"categories":1117},[],{"categories":1119},[],{"categories":1121},[145],{"categories":1123},[194],{"categories":1125},[],{"categories":1127},[272],{"categories":1129},[155],{"categories":1131},[150],{"categories":1133},[155],{"categories":1135},[104],{"categories":1137},[150],{"categories":1139},[104],{"categories":1141},[169],{"categories":1143},[],{"categories":1145},[180],{"categories":1147},[158],{"categories":1149},[104],{"categories":1151},[243],{"categories":1153},[169],{"categories":1155},[150],{"categories":1157},[104],{"categories":1159},[169],{"categories":1161},[104],{"categories":1163},[155],{"categories":1165},[150],{"categories":1167},[104],{"categories":1169},[104],{"categories":1171},[104],{"categories":1173},[104],{"categories":1175},[104],{"categories":1177},[],{"categories":1179},[],{"categories":1181},[169],{"categories":1183},[194],{"categories":1185},[158],{"categories":1187},[104],{"categories":1189},[155],{"categories":1191},[169],{"categories":1193},[169],{"categories":1195},[104],{"categories":1197},[],{"categories":1199},[191],{"categories":1201},[158],{"categories":1203},[158],{"categories":1205},[169],{"categories":1207},[104],{"categories":1209},[616],{"categories":1211},[313],{"categories":1213},[],{"categories":1215},[155],{"categories":1217},[104],{"categories":1219},[],{"categories":1221},[145],{"categories":1223},[],{"categories":1225},[104],{"categories":1227},[104],{"categories":1229},[104],{"categories":1231},[243],{"categories":1233},[272],{"categories":1235},[104],{"categories":1237},[169],{"categories":1239},[104],{"categories":1241},[155],{"categories":1243},[],{"categories":1245},[169],{"categories":1247},[104],{"categories":1249},[145],{"categories":1251},[],{"categories":1253},[150],{"categories":1255},[104],{"categories":1257},[104],{"categories":1259},[191],{"categories":1261},[104,313],{"categories":1263},[104],{"categories":1265},[1266],"Design Systems for AI",{"categories":1268},[104],{"categories":1270},[104],{"categories":1272},[191],{"categories":1274},[104],{"categories":1276},[104],{"categories":1278},[104],{"categories":1280},[150],{"categories":1282},[104],{"categories":1284},[104],{"categories":1286},[104],{"categories":1288},[],{"categories":1290},[104],{"categories":1292},[104],{"categories":1294},[150],{"categories":1296},[104],{"categories":1298},[],{"categories":1300},[155],{"categories":1302},[155],{"categories":1304},[169],{"categories":1306},[191],{"categories":1308},[169],{"categories":1310},[104],{"categories":1312},[243],{"categories":1314},[191],{"categories":1316},[194],{"categories":1318},[104],{"categories":1320},[104],{"categories":1322},[155],{"categories":1324},[145],{"categories":1326},[591],{"categories":1328},[104],{"categories":1330},[155],{"categories":1332},[104],{"categories":1334},[169],{"categories":1336},[169],{"categories":1338},[],{"categories":1340},[],{"categories":1342},[104],{"categories":1344},[155],{"categories":1346},[158],{"categories":1348},[],{"categories":1350},[150],{"categories":1352},[104],{"categories":1354},[],{"categories":1356},[243],{"categories":1358},[169],{"categories":1360},[155],{"categories":1362},[169],{"categories":1364},[243],{"categories":1366},[104],{"categories":1368},[104],{"categories":1370},[243],{"categories":1372},[],{"categories":1374},[],{"categories":1376},[191],{"categories":1378},[155],{"categories":1380},[155],{"categories":1382},[104],{"categories":1384},[104],{"categories":1386},[104],{"categories":1388},[104],{"categories":1390},[150],{"categories":1392},[104],{"categories":1394},[104],{"categories":1396},[],{"categories":1398},[169],{"categories":1400},[169],{"categories":1402},[104],{"categories":1404},[169],{"categories":1406},[150],{"categories":1408},[],{"categories":1410},[104],{"categories":1412},[104],{"categories":1414},[104],{"categories":1416},[104],{"categories":1418},[104],{"categories":1420},[155],{"categories":1422},[145],{"categories":1424},[150],{"categories":1426},[104],{"categories":1428},[155],{"categories":1430},[191],{"categories":1432},[155],{"categories":1434},[180],{"categories":1436},[272],{"categories":1438},[104],{"categories":1440},[155],{"categories":1442},[104],{"categories":1444},[104],{"categories":1446},[104],{"categories":1448},[],{"categories":1450},[243],{"categories":1452},[],{"categories":1454},[104],{"categories":1456},[104],{"categories":1458},[],{"categories":1460},[104],{"categories":1462},[169],{"categories":1464},[150],{"categories":1466},[1467],"Visual & Generative Media",{"categories":1469},[155],{"categories":1471},[],{"categories":1473},[104],{"categories":1475},[104],{"categories":1477},[169],{"categories":1479},[313],{"categories":1481},[104],{"categories":1483},[194],{"categories":1485},[591],{"categories":1487},[169],{"categories":1489},[272],{"categories":1491},[104],{"categories":1493},[243],{"categories":1495},[104],{"categories":1497},[104],{"categories":1499},[169],{"categories":1501},[155],{"categories":1503},[104],{"categories":1505},[],{"categories":1507},[],{"categories":1509},[155],{"categories":1511},[169],{"categories":1513},[145],{"categories":1515},[155],{"categories":1517},[545],{"categories":1519},[104],{"categories":1521},[158],{"categories":1523},[104],{"categories":1525},[150],{"categories":1527},[],{"categories":1529},[104],{"categories":1531},[158],{"categories":1533},[104],{"categories":1535},[104],{"categories":1537},[104],{"categories":1539},[158],{"categories":1541},[104],{"categories":1543},[104],{"categories":1545},[272],{"categories":1547},[104],{"categories":1549},[486],{"categories":1551},[104],{"categories":1553},[155],{"categories":1555},[104],{"categories":1557},[104],{"categories":1559},[104],{"categories":1561},[104],{"categories":1563},[243],{"categories":1565},[155],{"categories":1567},[],{"categories":1569},[155],{"categories":1571},[],{"categories":1573},[313],{"categories":1575},[169],{"categories":1577},[],{"categories":1579},[545],{"categories":1581},[104],{"categories":1583},[155],{"categories":1585},[155],{"categories":1587},[104],{"categories":1589},[243,104],{"categories":1591},[145],{"categories":1593},[104],{"categories":1595},[243],{"categories":1597},[],{"categories":1599},[104],{"categories":1601},[145],{"categories":1603},[104],{"categories":1605},[1606],"Medical Imaging & Radiology",{"categories":1608},[104],{"categories":1610},[104],{"categories":1612},[104],{"categories":1614},[243],{"categories":1616},[155],{"categories":1618},[169],{"categories":1620},[],{"categories":1622},[104],{"categories":1624},[104],{"categories":1626},[104],{"categories":1628},[],{"categories":1630},[],{"categories":1632},[104],{"categories":1634},[104],{"categories":1636},[486],{"categories":1638},[104],{"categories":1640},[145],{"categories":1642},[104],{"categories":1644},[104],{"categories":1646},[],{"categories":1648},[155],{"categories":1650},[104],{"categories":1652},[158],{"categories":1654},[169],{"categories":1656},[104],{"categories":1658},[155],{"categories":1660},[486],{"categories":1662},[104],{"categories":1664},[155],{"categories":1666},[104],{"categories":1668},[104],{"categories":1670},[104],{"categories":1672},[243],{"categories":1674},[155],{"categories":1676},[313],{"categories":1678},[243],{"categories":1680},[150],{"categories":1682},[155],{"categories":1684},[191],{"categories":1686},[104],{"categories":1688},[104],{"categories":1690},[158],{"categories":1692},[104],{"categories":1694},[104],{"categories":1696},[104],{"categories":1698},[104],{"categories":1700},[155],{"categories":1702},[104],{"categories":1704},[169],{"categories":1706},[169],{"categories":1708},[104],{"categories":1710},[158],{"categories":1712},[],{"categories":1714},[191],{"categories":1716},[],{"categories":1718},[158],{"categories":1720},[155],{"categories":1722},[104],{"categories":1724},[155],{"categories":1726},[1266],{"categories":1728},[1266],{"categories":1730},[243],{"categories":1732},[104],{"categories":1734},[104],{"categories":1736},[104],{"categories":1738},[155],{"categories":1740},[169],{"categories":1742},[243],{"categories":1744},[155],{"categories":1746},[191],{"categories":1748},[],{"categories":1750},[104],{"categories":1752},[],{"categories":1754},[104],{"categories":1756},[104],{"categories":1758},[104],{"categories":1760},[104],{"categories":1762},[155],{"categories":1764},[1765],"Contract Review & E-Discovery",{"categories":1767},[104],{"categories":1769},[243],{"categories":1771},[104],{"categories":1773},[145],{"categories":1775},[104],{"categories":1777},[191],{"categories":1779},[104],{"categories":1781},[104],{"categories":1783},[272],{"categories":1785},[169],{"categories":1787},[104],{"categories":1789},[104],{"categories":1791},[155],{"categories":1793},[155],{"categories":1795},[914],{"categories":1797},[104],{"categories":1799},[104],{"categories":1801},[155],{"categories":1803},[155],{"categories":1805},[104],{"categories":1807},[104],{"categories":1809},[104],{"categories":1811},[155],{"categories":1813},[104],{"categories":1815},[104],{"categories":1817},[486],{"categories":1819},[463],{"categories":1821},[104],{"categories":1823},[155],{"categories":1825},[104],{"categories":1827},[1828],"Law-Firm Practice & Adoption",{"categories":1830},[104],{"categories":1832},[155],{"categories":1834},[243],{"categories":1836},[104],{"categories":1838},[104],{"categories":1840},[104],{"categories":1842},[],{"categories":1844},[],{"categories":1846},[169],{"categories":1848},[104],{"categories":1850},[],{"categories":1852},[155],{"categories":1854},[145],{"categories":1856},[313],{"categories":1858},[104],{"categories":1860},[],{"categories":1862},[145],{"categories":1864},[150],{"categories":1866},[104],{"categories":1868},[272],{"categories":1870},[],{"categories":1872},[150],{"categories":1874},[155],{"categories":1876},[150],{"categories":1878},[],{"categories":1880},[104],{"categories":1882},[158],{"categories":1884},[104],{"categories":1886},[169],{"categories":1888},[],{"categories":1890},[],{"categories":1892},[],{"categories":1894},[],{"categories":1896},[104],{"categories":1898},[158],{"categories":1900},[155],{"categories":1902},[313],{"categories":1904},[104],{"categories":1906},[145],{"categories":1908},[169],{"categories":1910},[104],{"categories":1912},[104],{"categories":1914},[169],{"categories":1916},[158],{"categories":1918},[104],{"categories":1920},[104],{"categories":1922},[104],{"categories":1924},[941],{"categories":1926},[104],{"categories":1928},[169],{"categories":1930},[104],{"categories":1932},[272],{"categories":1934},[169],{"categories":1936},[150],{"categories":1938},[104],{"categories":1940},[104],{"categories":1942},[104],{"categories":1944},[243],{"categories":1946},[104],{"categories":1948},[104],{"categories":1950},[104],{"categories":1952},[104],{"categories":1954},[150],{"categories":1956},[155],{"categories":1958},[104,145],{"categories":1960},[486],{"categories":1962},[104],{"categories":1964},[104],{"categories":1966},[169],{"categories":1968},[169],{"categories":1970},[243],{"categories":1972},[155],{"categories":1974},[155],{"categories":1976},[169],{"categories":1978},[104],{"categories":1980},[104],{"categories":1982},[104],{"categories":1984},[],{"categories":1986},[],{"categories":1988},[104],{"categories":1990},[194],{"categories":1992},[104],{"categories":1994},[155],{"categories":1996},[],{"categories":1998},[104],{"categories":2000},[104],{"categories":2002},[169],{"categories":2004},[194],{"categories":2006},[191],{"categories":2008},[243],{"categories":2010},[104],{"categories":2012},[155],{"categories":2014},[104],{"categories":2016},[169],{"categories":2018},[],{"categories":2020},[155],{"categories":2022},[104],{"categories":2024},[104],{"categories":2026},[104],{"categories":2028},[104],{"categories":2030},[],{"categories":2032},[155],{"categories":2034},[104],{"categories":2036},[104],{"categories":2038},[104],{"categories":2040},[],{"categories":2042},[155],{"categories":2044},[104],{"categories":2046},[104],{"categories":2048},[150],{"categories":2050},[104],{"categories":2052},[104],{"categories":2054},[],{"categories":2056},[145],{"categories":2058},[104],{"categories":2060},[104],{"categories":2062},[104],{"categories":2064},[243],{"categories":2066},[104],{"categories":2068},[169],{"categories":2070},[104],{"categories":2072},[145],{"categories":2074},[104],{"categories":2076},[169],{"categories":2078},[272],{"categories":2080},[155],{"categories":2082},[155],{"categories":2084},[104],{"categories":2086},[104],{"categories":2088},[104,243],{"categories":2090},[104],{"categories":2092},[155],{"categories":2094},[191],{"categories":2096},[104],{"categories":2098},[191],{"categories":2100},[155],{"categories":2102},[243],{"categories":2104},[104],{"categories":2106},[],{"categories":2108},[169],{"categories":2110},[313],{"categories":2112},[243],{"categories":2114},[169],{"categories":2116},[104],{"categories":2118},[158],{"categories":2120},[104],{"categories":2122},[104],{"categories":2124},[155],{"categories":2126},[],{"categories":2128},[],{"categories":2130},[104],{"categories":2132},[],{"categories":2134},[],{"categories":2136},[158],{"categories":2138},[169],{"categories":2140},[104],{"categories":2142},[155],{"categories":2144},[155],{"categories":2146},[150],{"categories":2148},[155],{"categories":2150},[313],{"categories":2152},[104],{"categories":2154},[104],{"categories":2156},[104],{"categories":2158},[180],{"categories":2160},[104],{"categories":2162},[104],{"categories":2164},[104],{"categories":2166},[169],{"categories":2168},[155],{"categories":2170},[104],{"categories":2172},[104],{"categories":2174},[169],{"categories":2176},[430],{"categories":2178},[155],{"categories":2180},[914],{"categories":2182},[],{"categories":2184},[243],{"categories":2186},[1828],{"categories":2188},[169],{"categories":2190},[],{"categories":2192},[],{"categories":2194},[104],{"categories":2196},[155],{"categories":2198},[],{"categories":2200},[],{"categories":2202},[104],{"categories":2204},[272],{"categories":2206},[104],{"categories":2208},[272],{"categories":2210},[155],{"categories":2212},[104],{"categories":2214},[104],{"categories":2216},[169],{"categories":2218},[158],{"categories":2220},[],{"categories":2222},[104],{"categories":2224},[104],{"categories":2226},[169],{"categories":2228},[1765],{"categories":2230},[243],{"categories":2232},[243],{"categories":2234},[104],{"categories":2236},[155],{"categories":2238},[145],{"categories":2240},[104],{"categories":2242},[104],{"categories":2244},[104],{"categories":2246},[104],{"categories":2248},[243],{"categories":2250},[243],{"categories":2252},[155],{"categories":2254},[155],{"categories":2256},[155],{"categories":2258},[104],{"categories":2260},[104],{"categories":2262},[],{"categories":2264},[104],{"categories":2266},[],{"categories":2268},[2269],"Interaction & Product Design",{"categories":2271},[104],{"categories":2273},[155],{"categories":2275},[169],{"categories":2277},[342],{"categories":2279},[191],{"categories":2281},[169],{"categories":2283},[104],{"categories":2285},[104],{"categories":2287},[104],{"categories":2289},[169],{"categories":2291},[104],{"categories":2293},[145],{"categories":2295},[155],{"categories":2297},[104],{"categories":2299},[],{"categories":2301},[155],{"categories":2303},[155],{"categories":2305},[155],{"categories":2307},[],{"categories":2309},[169],{"categories":2311},[104],{"categories":2313},[155],{"categories":2315},[145],{"categories":2317},[2269],{"categories":2319},[104],{"categories":2321},[145],{"categories":2323},[145],{"categories":2325},[],{"categories":2327},[155],{"categories":2329},[169],{"categories":2331},[],{"categories":2333},[155],{"categories":2335},[191],{"categories":2337},[104],{"categories":2339},[155],{"categories":2341},[104],{"categories":2343},[155],{"categories":2345},[155],{"categories":2347},[104],{"categories":2349},[104],{"categories":2351},[191],{"categories":2353},[194],{"categories":2355},[104],{"categories":2357},[158],{"categories":2359},[169],{"categories":2361},[2362],"Coding Agents & Dev Productivity",{"categories":2364},[191],{"categories":2366},[243],{"categories":2368},[104],{"categories":2370},[104],{"categories":2372},[],{"categories":2374},[104],{"categories":2376},[914],{"categories":2378},[],{"categories":2380},[104],{"categories":2382},[104],{"categories":2384},[313],{"categories":2386},[104],{"categories":2388},[191],{"categories":2390},[],{"categories":2392},[],{"categories":2394},[104],{"categories":2396},[],{"categories":2398},[155],{"categories":2400},[104],{"categories":2402},[],{"categories":2404},[169],{"categories":2406},[169],{"categories":2408},[104],{"categories":2410},[194],{"categories":2412},[],{"categories":2414},[104],{"categories":2416},[104],{"categories":2418},[104],{"categories":2420},[194],{"categories":2422},[169],{"categories":2424},[155],{"categories":2426},[],{"categories":2428},[],{"categories":2430},[104],{"categories":2432},[104],{"categories":2434},[155],{"categories":2436},[155],{"categories":2438},[407],{"categories":2440},[169],{"categories":2442},[169],{"categories":2444},[155],{"categories":2446},[191],{"categories":2448},[191],{"categories":2450},[155],{"categories":2452},[155],{"categories":2454},[104],{"categories":2456},[145],{"categories":2458},[2269],{"categories":2460},[158],{"categories":2462},[104,313],{"categories":2464},[194],{"categories":2466},[],{"categories":2468},[243],{"categories":2470},[155],{"categories":2472},[169],{"categories":2474},[145],{"categories":2476},[104],{"categories":2478},[155],{"categories":2480},[2481],"The Designer's Role & Craft",{"categories":2483},[243],{"categories":2485},[],{"categories":2487},[155],{"categories":2489},[104],{"categories":2491},[155],{"categories":2493},[155],{"categories":2495},[104],{"categories":2497},[272],{"categories":2499},[104],{"categories":2501},[169],{"categories":2503},[104],{"categories":2505},[243],{"categories":2507},[104],{"categories":2509},[],{"categories":2511},[155],{"categories":2513},[243],{"categories":2515},[158],{"categories":2517},[104],{"categories":2519},[104],{"categories":2521},[104],{"categories":2523},[2524],"AI UX Patterns",{"categories":2526},[155],{"categories":2528},[155],{"categories":2530},[155],{"categories":2532},[155],{"categories":2534},[272],{"categories":2536},[194],{"categories":2538},[104],{"categories":2540},[155],{"categories":2542},[104],{"categories":2544},[1266],{"categories":2546},[],{"categories":2548},[272],{"categories":2550},[155],{"categories":2552},[191],{"categories":2554},[169],{"categories":2556},[104],{"categories":2558},[155],{"categories":2560},[],{"categories":2562},[],{"categories":2564},[104],{"categories":2566},[104],{"categories":2568},[155],{"categories":2570},[104],{"categories":2572},[155],{"categories":2574},[407],{"categories":2576},[243],{"categories":2578},[104],{"categories":2580},[191],{"categories":2582},[169],{"categories":2584},[104],{"categories":2586},[155],{"categories":2588},[155],{"categories":2590},[],{"categories":2592},[104],{"categories":2594},[],{"categories":2596},[104],{"categories":2598},[],{"categories":2600},[104],{"categories":2602},[104],{"categories":2604},[104],{"categories":2606},[155],{"categories":2608},[169],{"categories":2610},[],{"categories":2612},[],{"categories":2614},[194],{"categories":2616},[180],{"categories":2618},[104],{"categories":2620},[104],{"categories":2622},[104],{"categories":2624},[194],{"categories":2626},[104],{"categories":2628},[104],{"categories":2630},[191],{"categories":2632},[104],{"categories":2634},[104],{"categories":2636},[104],{"categories":2638},[155],{"categories":2640},[104],{"categories":2642},[155],{"categories":2644},[104],{"categories":2646},[104],{"categories":2648},[104],{"categories":2650},[155],{"categories":2652},[],{"categories":2654},[104],{"categories":2656},[],{"categories":2658},[104],{"categories":2660},[104],{"categories":2662},[313],{"categories":2664},[104],{"categories":2666},[],{"categories":2668},[],{"categories":2670},[243],{"categories":2672},[941],{"categories":2674},[155],{"categories":2676},[145],{"categories":2678},[2481],{"categories":2680},[],{"categories":2682},[],{"categories":2684},[104],{"categories":2686},[],{"categories":2688},[],{"categories":2690},[169],{"categories":2692},[191],{"categories":2694},[272],{"categories":2696},[155],{"categories":2698},[150],{"categories":2700},[104],{"categories":2702},[104],{"categories":2704},[150],{"categories":2706},[],{"categories":2708},[243],{"categories":2710},[158],{"categories":2712},[104],{"categories":2714},[104],{"categories":2716},[155],{"categories":2718},[150],{"categories":2720},[104],{"categories":2722},[104],{"categories":2724},[145],{"categories":2726},[104],{"categories":2728},[104],{"categories":2730},[],{"categories":2732},[145],{"categories":2734},[104],{"categories":2736},[272],{"categories":2738},[155],{"categories":2740},[191],{"categories":2742},[104],{"categories":2744},[169],{"categories":2746},[104],{"categories":2748},[104],{"categories":2750},[150],{"categories":2752},[104],{"categories":2754},[104],{"categories":2756},[104],{"categories":2758},[155],{"categories":2760},[104],{"categories":2762},[],{"categories":2764},[104],{"categories":2766},[169],{"categories":2768},[145],{"categories":2770},[104],{"categories":2772},[104],{"categories":2774},[104],{"categories":2776},[],{"categories":2778},[104],{"categories":2780},[486],{"categories":2782},[155],{"categories":2784},[150],{"categories":2786},[191],{"categories":2788},[104],{"categories":2790},[104],{"categories":2792},[],{"categories":2794},[150],{"categories":2796},[150],{"categories":2798},[104],{"categories":2800},[104],{"categories":2802},[158],{"categories":2804},[104],{"categories":2806},[104],{"categories":2808},[104],{"categories":2810},[104],{"categories":2812},[169],{"categories":2814},[169],{"categories":2816},[104],{"categories":2818},[],{"categories":2820},[169],{"categories":2822},[104],{"categories":2824},[169],{"categories":2826},[155],{"categories":2828},[591],{"categories":2830},[],{"categories":2832},[],{"categories":2834},[104],{"categories":2836},[191],{"categories":2838},[],{"categories":2840},[313],{"categories":2842},[104],{"categories":2844},[104],{"categories":2846},[104],{"categories":2848},[243],{"categories":2850},[903],{"categories":2852},[],{"categories":2854},[104],{"categories":2856},[104],{"categories":2858},[104],{"categories":2860},[169],{"categories":2862},[104],{"categories":2864},[104],{"categories":2866},[104,313],{"categories":2868},[104],{"categories":2870},[104],{"categories":2872},[243],{"categories":2874},[155],{"categories":2876},[],{"categories":2878},[155],{"categories":2880},[155],{"categories":2882},[104],{"categories":2884},[104],{"categories":2886},[104],{"categories":2888},[104],{"categories":2890},[194],{"categories":2892},[104],{"categories":2894},[2524],{"categories":2896},[145],{"categories":2898},[194],{"categories":2900},[145],{"categories":2902},[169],{"categories":2904},[243],{"categories":2906},[155],{"categories":2908},[104],{"categories":2910},[],{"categories":2912},[150],{"categories":2914},[104],{"categories":2916},[104],{"categories":2918},[191],{"categories":2920},[104],{"categories":2922},[104],{"categories":2924},[104],{"categories":2926},[155],{"categories":2928},[104],{"categories":2930},[104],{"categories":2932},[104],{"categories":2934},[150],{"categories":2936},[],{"categories":2938},[313],{"categories":2940},[104],{"categories":2942},[407],{"categories":2944},[243],{"categories":2946},[243],{"categories":2948},[169],{"categories":2950},[155],{"categories":2952},[104],{"categories":2954},[150],{"categories":2956},[191],{"categories":2958},[104],{"categories":2960},[104],{"categories":2962},[104],{"categories":2964},[243],{"categories":2966},[155],{"categories":2968},[155],{"categories":2970},[104],{"categories":2972},[104],{"categories":2974},[545],{"categories":2976},[155],{"categories":2978},[],{"categories":2980},[104],{"categories":2982},[104],{"categories":2984},[104],{"categories":2986},[],{"categories":2988},[],{"categories":2990},[104],{"categories":2992},[104],{"categories":2994},[155],{"categories":2996},[104],{"categories":2998},[104],{"categories":3000},[104],{"categories":3002},[169],{"categories":3004},[104],{"categories":3006},[104],{"categories":3008},[155],{"categories":3010},[104],{"categories":3012},[104],{"categories":3014},[104],{"categories":3016},[104],{"categories":3018},[104],{"categories":3020},[],{"categories":3022},[169],{"categories":3024},[194],{"categories":3026},[104],{"categories":3028},[155],{"categories":3030},[155],{"categories":3032},[104],{"categories":3034},[104],{"categories":3036},[],{"categories":3038},[],{"categories":3040},[104],{"categories":3042},[104],{"categories":3044},[104],{"categories":3046},[191],{"categories":3048},[194],{"categories":3050},[],{"categories":3052},[104],{"categories":3054},[243],{"categories":3056},[104],{"categories":3058},[313],{"categories":3060},[1828],{"categories":3062},[191],{"categories":3064},[169],{"categories":3066},[104],{"categories":3068},[169],{"categories":3070},[169],{"categories":3072},[104],{"categories":3074},[104],{"categories":3076},[169],{"categories":3078},[191],{"categories":3080},[191],{"categories":3082},[313],{"categories":3084},[155],{"categories":3086},[],{"categories":3088},[191],{"categories":3090},[104],{"categories":3092},[155],{"categories":3094},[145],{"categories":3096},[169],{"categories":3098},[104],{"categories":3100},[191],{"categories":3102},[],{"categories":3104},[104],{"categories":3106},[169],{"categories":3108},[169],{"categories":3110},[194],{"categories":3112},[104],{"categories":3114},[191],{"categories":3116},[104],{"categories":3118},[169],{"categories":3120},[155],{"categories":3122},[155],{"categories":3124},[191],{"categories":3126},[155],{"categories":3128},[313],{"categories":3130},[155],{"categories":3132},[104],{"categories":3134},[104],{"categories":3136},[104],{"categories":3138},[104],{"categories":3140},[169],{"categories":3142},[104],{"categories":3144},[],{"categories":3146},[155],{"categories":3148},[150],{"categories":3150},[169],{"categories":3152},[],{"categories":3154},[],{"categories":3156},[104],{"categories":3158},[155],{"categories":3160},[104],{"categories":3162},[104],{"categories":3164},[3165],"Frameworks & Tooling",{"categories":3167},[104],{"categories":3169},[104],{"categories":3171},[169],{"categories":3173},[104],{"categories":3175},[104],{"categories":3177},[],{"categories":3179},[194],{"categories":3181},[194],{"categories":3183},[145],{"categories":3185},[104],{"categories":3187},[155],{"categories":3189},[104],{"categories":3191},[243],{"categories":3193},[],{"categories":3195},[1828],{"categories":3197},[104],{"categories":3199},[169],{"categories":3201},[104],{"categories":3203},[313],{"categories":3205},[313],{"categories":3207},[],{"categories":3209},[155],{"categories":3211},[155],{"categories":3213},[104],{"categories":3215},[104],{"categories":3217},[191],{"categories":3219},[155],{"categories":3221},[191],{"categories":3223},[104],{"categories":3225},[155],{"categories":3227},[],{"categories":3229},[243],{"categories":3231},[104],{"categories":3233},[104],{"categories":3235},[],{"categories":3237},[104],{"categories":3239},[155],{"categories":3241},[104],{"categories":3243},[104],{"categories":3245},[104],{"categories":3247},[],{"categories":3249},[169],{"categories":3251},[104],{"categories":3253},[169],{"categories":3255},[313],{"categories":3257},[104],{"categories":3259},[104],{"categories":3261},[104],{"categories":3263},[169],{"categories":3265},[150],{"categories":3267},[104],{"categories":3269},[1828],{"categories":3271},[],{"categories":3273},[155],{"categories":3275},[145],{"categories":3277},[104],{"categories":3279},[145],{"categories":3281},[104],{"categories":3283},[],{"categories":3285},[155],{"categories":3287},[104],{"categories":3289},[104],{"categories":3291},[3292],"AI Design Tooling",{"categories":3294},[243],{"categories":3296},[104],{"categories":3298},[104],{"categories":3300},[169],{"categories":3302},[243],{"categories":3304},[104],{"categories":3306},[104],{"categories":3308},[169],{"categories":3310},[191],{"categories":3312},[158],{"categories":3314},[169],{"categories":3316},[104],{"categories":3318},[104],{"categories":3320},[104],{"categories":3322},[155],{"categories":3324},[104],{"categories":3326},[],{"categories":3328},[155],{"categories":3330},[104],{"categories":3332},[104],{"categories":3334},[155],{"categories":3336},[104],{"categories":3338},[104],{"categories":3340},[104],{"categories":3342},[155],{"categories":3344},[],{"categories":3346},[155],{"categories":3348},[3165],{"categories":3350},[104],{"categories":3352},[104],{"categories":3354},[155],{"categories":3356},[155],{"categories":3358},[169],{"categories":3360},[169],{"categories":3362},[104],{"categories":3364},[],{"categories":3366},[169],{"categories":3368},[104],{"categories":3370},[104],{"categories":3372},[155],{"categories":3374},[150],{"categories":3376},[104],{"categories":3378},[],{"categories":3380},[104],{"categories":3382},[104],{"categories":3384},[2269],{"categories":3386},[],{"categories":3388},[104],{"categories":3390},[104],{"categories":3392},[104],{"categories":3394},[104],{"categories":3396},[243],{"categories":3398},[104],{"categories":3400},[],{"categories":3402},[104],{"categories":3404},[104],{"categories":3406},[104],{"categories":3408},[104],{"categories":3410},[272],{"categories":3412},[191],{"categories":3414},[104],{"categories":3416},[104],{"categories":3418},[1828],{"categories":3420},[145],{"categories":3422},[104],{"categories":3424},[104],{"categories":3426},[194],{"categories":3428},[104],{"categories":3430},[104],{"categories":3432},[191],{"categories":3434},[155],{"categories":3436},[],{"categories":3438},[104],{"categories":3440},[104],{"categories":3442},[243],{"categories":3444},[104],{"categories":3446},[272],{"categories":3448},[155],{"categories":3450},[104],{"categories":3452},[155],{"categories":3454},[],{"categories":3456},[],{"categories":3458},[],{"categories":3460},[145],{"categories":3462},[191],{"categories":3464},[155],{"categories":3466},[104],{"categories":3468},[104],{"categories":3470},[104],{"categories":3472},[104],{"categories":3474},[430],{"categories":3476},[243],{"categories":3478},[155],{"categories":3480},[104],{"categories":3482},[],{"categories":3484},[155],{"categories":3486},[155],{"categories":3488},[],{"categories":3490},[104],{"categories":3492},[155],{"categories":3494},[104],{"categories":3496},[],{"categories":3498},[104],{"categories":3500},[104],{"categories":3502},[104],{"categories":3504},[191],{"categories":3506},[243],{"categories":3508},[155],{"categories":3510},[243],{"categories":3512},[155],{"categories":3514},[104],{"categories":3516},[150],{"categories":3518},[],{"categories":3520},[],{"categories":3522},[104],{"categories":3524},[104],{"categories":3526},[104],{"categories":3528},[145],{"categories":3530},[155],{"categories":3532},[191],{"categories":3534},[],{"categories":3536},[243],{"categories":3538},[],{"categories":3540},[169],{"categories":3542},[104],{"categories":3544},[169],{"categories":3546},[243],{"categories":3548},[169],{"categories":3550},[104],{"categories":3552},[],{"categories":3554},[104],{"categories":3556},[104],{"categories":3558},[],{"categories":3560},[104],{"categories":3562},[104],{"categories":3564},[272],{"categories":3566},[104],{"categories":3568},[104],{"categories":3570},[313],{"categories":3572},[169],{"categories":3574},[104],{"categories":3576},[],{"categories":3578},[155],{"categories":3580},[104],{"categories":3582},[145],{"categories":3584},[545],{"categories":3586},[104],{"categories":3588},[104],{"categories":3590},[155],{"categories":3592},[104],{"categories":3594},[155],{"categories":3596},[104],{"categories":3598},[104],{"categories":3600},[104],{"categories":3602},[104],{"categories":3604},[],{"categories":3606},[104],{"categories":3608},[145],{"categories":3610},[104],{"categories":3612},[150],{"categories":3614},[169],{"categories":3616},[243],{"categories":3618},[],{"categories":3620},[104],{"categories":3622},[],{"categories":3624},[155],{"categories":3626},[104],{"categories":3628},[],{"categories":3630},[155],{"categories":3632},[104],{"categories":3634},[169],{"categories":3636},[243],{"categories":3638},[191],{"categories":3640},[104],{"categories":3642},[191],{"categories":3644},[155],{"categories":3646},[243],{"categories":3648},[104],{"categories":3650},[],{"categories":3652},[104],{"categories":3654},[180],{"categories":3656},[155],{"categories":3658},[104],{"categories":3660},[243],{"categories":3662},[191],{"categories":3664},[150],{"categories":3666},[169],{"categories":3668},[104],{"categories":3670},[104],{"categories":3672},[104],{"categories":3674},[104],{"categories":3676},[191],{"categories":3678},[272],{"categories":3680},[],{"categories":3682},[],{"categories":3684},[194],{"categories":3686},[486],{"categories":3688},[104],{"categories":3690},[155],{"categories":3692},[104,169],{"categories":3694},[191],{"categories":3696},[104],{"categories":3698},[104],{"categories":3700},[104],{"categories":3702},[104],{"categories":3704},[104],{"categories":3706},[104],{"categories":3708},[104],{"categories":3710},[155],{"categories":3712},[104],{"categories":3714},[155],{"categories":3716},[104],{"categories":3718},[104],{"categories":3720},[104],{"categories":3722},[],{"categories":3724},[104],{"categories":3726},[1266],{"categories":3728},[169],{"categories":3730},[243],{"categories":3732},[104],{"categories":3734},[104],{"categories":3736},[104],{"categories":3738},[194],{"categories":3740},[155],{"categories":3742},[272],{"categories":3744},[313],{"categories":3746},[],{"categories":3748},[169],{"categories":3750},[104],{"categories":3752},[150],{"categories":3754},[155],{"categories":3756},[145],{"categories":3758},[155],{"categories":3760},[104],{"categories":3762},[155],{"categories":3764},[155],{"categories":3766},[158],{"categories":3768},[169],{"categories":3770},[104],{"categories":3772},[104],{"categories":3774},[],{"categories":3776},[],{"categories":3778},[],{"categories":3780},[313],{"categories":3782},[104],{"categories":3784},[191],{"categories":3786},[104],{"categories":3788},[104],{"categories":3790},[104],{"categories":3792},[104],{"categories":3794},[],{"categories":3796},[104],{"categories":3798},[194],{"categories":3800},[150],{"categories":3802},[155],{"categories":3804},[104],{"categories":3806},[],{"categories":3808},[104],{"categories":3810},[155],{"categories":3812},[104],{"categories":3814},[313],{"categories":3816},[],{"categories":3818},[243],{"categories":3820},[243],{"categories":3822},[104],{"categories":3824},[155],{"categories":3826},[],{"categories":3828},[169],{"categories":3830},[104],{"categories":3832},[243],{"categories":3834},[104],{"categories":3836},[150],{"categories":3838},[155],{"categories":3840},[104],{"categories":3842},[],{"categories":3844},[191],{"categories":3846},[104],{"categories":3848},[104],{"categories":3850},[104],{"categories":3852},[243],{"categories":3854},[155],{"categories":3856},[191],{"categories":3858},[],{"categories":3860},[155],{"categories":3862},[150],{"categories":3864},[155],{"categories":3866},[243],{"categories":3868},[104],{"categories":3870},[104],{"categories":3872},[104],{"categories":3874},[486],{"categories":3876},[104],{"categories":3878},[155],{"categories":3880},[],{"categories":3882},[104],{"categories":3884},[104],{"categories":3886},[313],{"categories":3888},[191],{"categories":3890},[194],{"categories":3892},[591],{"categories":3894},[194],{"categories":3896},[194],{"categories":3898},[104],{"categories":3900},[],{"categories":3902},[],{"categories":3904},[],{"categories":3906},[155],{"categories":3908},[104],{"categories":3910},[155],{"categories":3912},[155],{"categories":3914},[169],{"categories":3916},[104],{"categories":3918},[463],{"categories":3920},[169],{"categories":3922},[155],{"categories":3924},[104],{"categories":3926},[104],{"categories":3928},[104],{"categories":3930},[104],{"categories":3932},[104],{"categories":3934},[155],{"categories":3936},[104],{"categories":3938},[],{"categories":3940},[],{"categories":3942},[104],{"categories":3944},[],{"categories":3946},[104],{"categories":3948},[155],{"categories":3950},[243],{"categories":3952},[104],{"categories":3954},[104],{"categories":3956},[],{"categories":3958},[155],{"categories":3960},[104],{"categories":3962},[104],{"categories":3964},[158],{"categories":3966},[104],{"categories":3968},[243],{"categories":3970},[104],{"categories":3972},[155],{"categories":3974},[150],{"categories":3976},[104],{"categories":3978},[104],{"categories":3980},[272],{"categories":3982},[155],{"categories":3984},[104],{"categories":3986},[104],{"categories":3988},[903],{"categories":3990},[104],{"categories":3992},[155],{"categories":3994},[104],{"categories":3996},[169],{"categories":3998},[104],{"categories":4000},[545],{"categories":4002},[243],{"categories":4004},[],{"categories":4006},[104],{"categories":4008},[104],{"categories":4010},[191],{"categories":4012},[486],{"categories":4014},[155],{"categories":4016},[104],{"categories":4018},[],{"categories":4020},[191],{"categories":4022},[407],{"categories":4024},[155],{"categories":4026},[155],{"categories":4028},[155],{"categories":4030},[104],{"categories":4032},[104],{"categories":4034},[155],{"categories":4036},[],{"categories":4038},[150],{"categories":4040},[104],{"categories":4042},[150],{"categories":4044},[155],{"categories":4046},[],{"categories":4048},[169],{"categories":4050},[104],{"categories":4052},[104],{"categories":4054},[145],{"categories":4056},[104],{"categories":4058},[191],{"categories":4060},[313],{"categories":4062},[180],{"categories":4064},[155],{"categories":4066},[155],{"categories":4068},[104],{"categories":4070},[104],{"categories":4072},[155],{"categories":4074},[104],{"categories":4076},[145],{"categories":4078},[],{"categories":4080},[155],{"categories":4082},[104],{"categories":4084},[104],{"categories":4086},[104],{"categories":4088},[155],{"categories":4090},[104],{"categories":4092},[],{"categories":4094},[104],{"categories":4096},[],{"categories":4098},[243],{"categories":4100},[155],{"categories":4102},[104,150],{"categories":4104},[155],{"categories":4106},[104],{"categories":4108},[],{"categories":4110},[145],{"categories":4112},[194],{"categories":4114},[150],{"categories":4116},[104],{"categories":4118},[169],{"categories":4120},[104],{"categories":4122},[104],{"categories":4124},[155],{"categories":4126},[104],{"categories":4128},[104],{"categories":4130},[104],{"categories":4132},[191],{"categories":4134},[1266],{"categories":4136},[155],{"categories":4138},[104],{"categories":4140},[],{"categories":4142},[],{"categories":4144},[104],{"categories":4146},[155],{"categories":4148},[104],{"categories":4150},[104],{"categories":4152},[313],{"categories":4154},[],{"categories":4156},[104],{"categories":4158},[155],{"categories":4160},[180],{"categories":4162},[155],{"categories":4164},[486],{"categories":4166},[],{"categories":4168},[430],{"categories":4170},[155],{"categories":4172},[104],{"categories":4174},[104],{"categories":4176},[272],{"categories":4178},[155],{"categories":4180},[104],{"categories":4182},[194],{"categories":4184},[158],{"categories":4186},[155],{"categories":4188},[104],{"categories":4190},[486],{"categories":4192},[104],{"categories":4194},[313],{"categories":4196},[150],{"categories":4198},[],{"categories":4200},[104],{"categories":4202},[104],{"categories":4204},[272],{"categories":4206},[243],{"categories":4208},[104],{"categories":4210},[104],{"categories":4212},[104],{"categories":4214},[],{"categories":4216},[272],{"categories":4218},[191],{"categories":4220},[104],{"categories":4222},[104],{"categories":4224},[104],{"categories":4226},[591],{"categories":4228},[145],{"categories":4230},[104],{"categories":4232},[158],{"categories":4234},[104],{"categories":4236},[],{"categories":4238},[],{"categories":4240},[243],{"categories":4242},[104],{"categories":4244},[194],{"categories":4246},[272],{"categories":4248},[155],{"categories":4250},[104],{"categories":4252},[104],{"categories":4254},[272],{"categories":4256},[191],{"categories":4258},[104],{"categories":4260},[],{"categories":4262},[104],{"categories":4264},[104],{"categories":4266},[],{"categories":4268},[104],{"categories":4270},[104],{"categories":4272},[616],{"categories":4274},[104],{"categories":4276},[104],{"categories":4278},[155],{"categories":4280},[169],{"categories":4282},[486],{"categories":4284},[104],{"categories":4286},[104],{"categories":4288},[104],{"categories":4290},[],{"categories":4292},[104,169],{"categories":4294},[191],{"categories":4296},[155],{"categories":4298},[169],{"categories":4300},[155],{"categories":4302},[941],{"categories":4304},[169],{"categories":4306},[169],{"categories":4308},[155],{"categories":4310},[104],{"categories":4312},[145],{"categories":4314},[],{"categories":4316},[],{"categories":4318},[155],{"categories":4320},[104],{"categories":4322},[169],{"categories":4324},[104],{"categories":4326},[145],{"categories":4328},[169],{"categories":4330},[169],{"categories":4332},[104],{"categories":4334},[272],{"categories":4336},[104],{"categories":4338},[169],{"categories":4340},[104],{"categories":4342},[],{"categories":4344},[104],{"categories":4346},[104],{"categories":4348},[243,104],{"categories":4350},[313],{"categories":4352},[145],{"categories":4354},[104],{"categories":4356},[],{"categories":4358},[104],{"categories":4360},[104],{"categories":4362},[150],{"categories":4364},[104],{"categories":4366},[150],{"categories":4368},[104],{"categories":4370},[104],{"categories":4372},[407],{"categories":4374},[104],{"categories":4376},[150],{"categories":4378},[169],{"categories":4380},[194],{"categories":4382},[155],{"categories":4384},[104],{"categories":4386},[169],{"categories":4388},[104],{"categories":4390},[104],{"categories":4392},[191],{"categories":4394},[272],{"categories":4396},[243],{"categories":4398},[104],{"categories":4400},[104],{"categories":4402},[104],{"categories":4404},[104],{"categories":4406},[145],{"categories":4408},[104],{"categories":4410},[155],{"categories":4412},[155],{"categories":4414},[169],{"categories":4416},[191],{"categories":4418},[169],{"categories":4420},[169],{"categories":4422},[104],{"categories":4424},[104],{"categories":4426},[],{"categories":4428},[],{"categories":4430},[194],{"categories":4432},[104],{"categories":4434},[169],{"categories":4436},[104],{"categories":4438},[243],{"categories":4440},[486],{"categories":4442},[430],{"categories":4444},[407],{"categories":4446},[104],{"categories":4448},[104],{"categories":4450},[104],{"categories":4452},[194],{"categories":4454},[104],{"categories":4456},[104],{"categories":4458},[104],{"categories":4460},[104],{"categories":4462},[104],{"categories":4464},[104],{"categories":4466},[104],{"categories":4468},[155],{"categories":4470},[145],{"categories":4472},[155],{"categories":4474},[104,150],{"categories":4476},[],{"categories":4478},[243],{"categories":4480},[],{"categories":4482},[158],{"categories":4484},[104],{"categories":4486},[191],{"categories":4488},[145],{"categories":4490},[104],{"categories":4492},[145],{"categories":4494},[155],{"categories":4496},[194],{"categories":4498},[155],{"categories":4500},[158],{"categories":4502},[155],{"categories":4504},[104],{"categories":4506},[104],{"categories":4508},[150],{"categories":4510},[155],{"categories":4512},[169],{"categories":4514},[272],{"categories":4516},[104],{"categories":4518},[104],{"categories":4520},[],{"categories":4522},[191],{"categories":4524},[104],{"categories":4526},[104],{"categories":4528},[104],{"categories":4530},[104],{"categories":4532},[104],{"categories":4534},[104],{"categories":4536},[169],{"categories":4538},[191],{"categories":4540},[169],{"categories":4542},[169],{"categories":4544},[104],{"categories":4546},[104],{"categories":4548},[104],{"categories":4550},[104],{"categories":4552},[430],{"categories":4554},[104],{"categories":4556},[155],{"categories":4558},[191],{"categories":4560},[104],{"categories":4562},[104],{"categories":4564},[104],{"categories":4566},[155],{"categories":4568},[104],{"categories":4570},[104],{"categories":4572},[104],{"categories":4574},[3165],{"categories":4576},[4577],"Clinical AI",{"categories":4579},[243],{"categories":4581},[104],{"categories":4583},[104],{"categories":4585},[104],{"categories":4587},[104],{"categories":4589},[313],{"categories":4591},[2524],{"categories":4593},[104],{"categories":4595},[158],{"categories":4597},[243],{"categories":4599},[104],{"categories":4601},[155],{"categories":4603},[104],{"categories":4605},[104],{"categories":4607},[191],{"categories":4609},[104],{"categories":4611},[155],{"categories":4613},[169],{"categories":4615},[272],{"categories":4617},[104],{"categories":4619},[104],{"categories":4621},[150],{"categories":4623},[104],{"categories":4625},[104],{"categories":4627},[545],{"categories":4629},[104],{"categories":4631},[],{"categories":4633},[155],{"categories":4635},[104],{"categories":4637},[169],{"categories":4639},[145],{"categories":4641},[104],{"categories":4643},[],{"categories":4645},[],{"categories":4647},[104],{"categories":4649},[],{"categories":4651},[150],{"categories":4653},[104],{"categories":4655},[104],{"categories":4657},[155],{"categories":4659},[104],{"categories":4661},[191],{"categories":4663},[191],{"categories":4665},[191],{"categories":4667},[191],{"categories":4669},[],{"categories":4671},[145],{"categories":4673},[155],{"categories":4675},[191],{"categories":4677},[104],{"categories":4679},[616],{"categories":4681},[158],{"categories":4683},[155],{"categories":4685},[104],{"categories":4687},[145],{"categories":4689},[104],{"categories":4691},[155],{"categories":4693},[104],{"categories":4695},[104],{"categories":4697},[104],{"categories":4699},[104,155],{"categories":4701},[155],{"categories":4703},[313],{"categories":4705},[191],{"categories":4707},[155],{"categories":4709},[191],{"categories":4711},[155],{"categories":4713},[104],{"categories":4715},[],{"categories":4717},[191],{"categories":4719},[272],{"categories":4721},[145],{"categories":4723},[104],{"categories":4725},[104],{"categories":4727},[],{"categories":4729},[169],{"categories":4731},[],{"categories":4733},[145],{"categories":4735},[155],{"categories":4737},[191],{"categories":4739},[104],{"categories":4741},[191],{"categories":4743},[145],{"categories":4745},[191],{"categories":4747},[191],{"categories":4749},[],{"categories":4751},[150],{"categories":4753},[155],{"categories":4755},[191],{"categories":4757},[191],{"categories":4759},[191],{"categories":4761},[191],{"categories":4763},[191],{"categories":4765},[191],{"categories":4767},[191],{"categories":4769},[191],{"categories":4771},[191],{"categories":4773},[191],{"categories":4775},[194],{"categories":4777},[145],{"categories":4779},[104],{"categories":4781},[104],{"categories":4783},[155],{"categories":4785},[155],{"categories":4787},[],{"categories":4789},[104],{"categories":4791},[104,145],{"categories":4793},[],{"categories":4795},[155],{"categories":4797},[104],{"categories":4799},[191],{"categories":4801},[155],{"categories":4803},[941],{"categories":4805},[104],{"categories":4807},[104],{"categories":4809},[104],{"categories":4811},[104],{"categories":4813},[104],{"categories":4815},[407],{"categories":4817},[104],{"categories":4819},[104],{"categories":4821},[155],{"categories":4823},[104],{"categories":4825},[104],{"categories":4827},[150],{"categories":4829},[158],{"categories":4831},[155],{"categories":4833},[155],{"categories":4835},[],{"categories":4837},[155],{"categories":4839},[243],{"categories":4841},[191],{"categories":4843},[104],{"categories":4845},[],{"categories":4847},[158],{"categories":4849},[],{"categories":4851},[169],{"categories":4853},[104],{"categories":4855},[155],{"categories":4857},[243],{"categories":4859},[104],{"categories":4861},[],{"categories":4863},[104],{"categories":4865},[104],{"categories":4867},[],{"categories":4869},[272],{"categories":4871},[104],{"categories":4873},[155],{"categories":4875},[],{"categories":4877},[],{"categories":4879},[191],{"categories":4881},[145],{"categories":4883},[104],{"categories":4885},[104],{"categories":4887},[150],{"categories":4889},[104],{"categories":4891},[104],{"categories":4893},[155],{"categories":4895},[104],{"categories":4897},[150],{"categories":4899},[150],{"categories":4901},[243],{"categories":4903},[],{"categories":4905},[104],{"categories":4907},[191],{"categories":4909},[],{"categories":4911},[104],{"categories":4913},[104],{"categories":4915},[243],{"categories":4917},[104],{"categories":4919},[104],{"categories":4921},[272],{"categories":4923},[104],{"categories":4925},[313],{"categories":4927},[],{"categories":4929},[155],{"categories":4931},[104],{"categories":4933},[272],{"categories":4935},[169],{"categories":4937},[],{"categories":4939},[104],{"categories":4941},[],{"categories":4943},[155],{"categories":4945},[243],{"categories":4947},[169],{"categories":4949},[],{"categories":4951},[3165],{"categories":4953},[150],{"categories":4955},[145],{"categories":4957},[104],{"categories":4959},[194],{"categories":4961},[155],{"categories":4963},[243],{"categories":4965},[104],{"categories":4967},[169],{"categories":4969},[],{"categories":4971},[],{"categories":4973},[104],{"categories":4975},[145],{"categories":4977},[104],{"categories":4979},[272],{"categories":4981},[],{"categories":4983},[155],{"categories":4985},[155],{"categories":4987},[104],{"categories":4989},[155],{"categories":4991},[104],{"categories":4993},[191],{"categories":4995},[169],{"categories":4997},[104],{"categories":4999},[155],{"categories":5001},[158],{"categories":5003},[104],{"categories":5005},[104],{"categories":5007},[104],{"categories":5009},[155],{"categories":5011},[104],{"categories":5013},[158],{"categories":5015},[272],{"categories":5017},[191],{"categories":5019},[],{"categories":5021},[272],{"categories":5023},[104],{"categories":5025},[],{"categories":5027},[169],{"categories":5029},[155],{"categories":5031},[],{"categories":5033},[104],{"categories":5035},[104],{"categories":5037},[104],{"categories":5039},[104],{"categories":5041},[104],{"categories":5043},[155],{"categories":5045},[150],{"categories":5047},[145],{"categories":5049},[155],{"categories":5051},[104],{"categories":5053},[243],{"categories":5055},[169],{"categories":5057},[169],{"categories":5059},[104],{"categories":5061},[194],{"categories":5063},[155],{"categories":5065},[104],{"categories":5067},[104],{"categories":5069},[155],{"categories":5071},[104],{"categories":5073},[104],{"categories":5075},[155],{"categories":5077},[150],{"categories":5079},[104],{"categories":5081},[243],{"categories":5083},[169],{"categories":5085},[155],{"categories":5087},[104],{"categories":5089},[158],{"categories":5091},[104],{"categories":5093},[155],{"categories":5095},[104],{"categories":5097},[104],{"categories":5099},[191],{"categories":5101},[104],{"categories":5103},[],{"categories":5105},[145],{"categories":5107},[104],{"categories":5109},[104],{"categories":5111},[104],{"categories":5113},[169],{"categories":5115},[169],{"categories":5117},[104],{"categories":5119},[169],{"categories":5121},[104],{"categories":5123},[155],{"categories":5125},[104],{"categories":5127},[104],{"categories":5129},[104],{"categories":5131},[104],{"categories":5133},[104],{"categories":5135},[],{"categories":5137},[104],{"categories":5139},[243],{"categories":5141},[155],{"categories":5143},[150],{"categories":5145},[191],{"categories":5147},[104],{"categories":5149},[155],{"categories":5151},[104],{"categories":5153},[155],{"categories":5155},[104],{"categories":5157},[104],{"categories":5159},[243],{"categories":5161},[155],{"categories":5163},[104],{"categories":5165},[272],{"categories":5167},[104],{"categories":5169},[194],{"categories":5171},[104],{"categories":5173},[104],{"categories":5175},[191],{"categories":5177},[104],{"categories":5179},[104],{"categories":5181},[104],{"categories":5183},[104],{"categories":5185},[155],{"categories":5187},[313],{"categories":5189},[104],{"categories":5191},[169],{"categories":5193},[155],{"categories":5195},[194],{"categories":5197},[],{"categories":5199},[155],{"categories":5201},[169],{"categories":5203},[104],{"categories":5205},[104],{"categories":5207},[2362],{"categories":5209},[243],{"categories":5211},[342],{"categories":5213},[104],{"categories":5215},[104],{"categories":5217},[104],{"categories":5219},[104],{"categories":5221},[145],{"categories":5223},[104],{"categories":5225},[104],{"categories":5227},[169],{"categories":5229},[150],{"categories":5231},[104],{"categories":5233},[169],{"categories":5235},[104],{"categories":5237},[],{"categories":5239},[155],{"categories":5241},[155],{"categories":5243},[104],{"categories":5245},[104],{"categories":5247},[104],{"categories":5249},[194],{"categories":5251},[],{"categories":5253},[191],{"categories":5255},[],{"categories":5257},[191],{"categories":5259},[104],{"categories":5261},[104],{"categories":5263},[155],{"categories":5265},[104],{"categories":5267},[155],{"categories":5269},[155],{"categories":5271},[],{"categories":5273},[104],{"categories":5275},[191],{"categories":5277},[104],{"categories":5279},[],{"categories":5281},[104],{"categories":5283},[104],{"categories":5285},[],{"categories":5287},[104],{"categories":5289},[104],{"categories":5291},[243],{"categories":5293},[169],{"categories":5295},[155],{"categories":5297},[104],{"categories":5299},[104],{"categories":5301},[104],{"categories":5303},[104],{"categories":5305},[272],{"categories":5307},[104],{"categories":5309},[104],{"categories":5311},[104],{"categories":5313},[145],{"categories":5315},[104],{"categories":5317},[104],{"categories":5319},[],{"categories":5321},[104],{"categories":5323},[104],{"categories":5325},[104],{"categories":5327},[],{"categories":5329},[145],{"categories":5331},[104],{"categories":5333},[104],{"categories":5335},[191],{"categories":5337},[169],{"categories":5339},[158],{"categories":5341},[155],{"categories":5343},[486],{"categories":5345},[104],{"categories":5347},[104],{"categories":5349},[104],{"categories":5351},[169],{"categories":5353},[191],{"categories":5355},[243],{"categories":5357},[104],{"categories":5359},[104],{"categories":5361},[104],{"categories":5363},[104],{"categories":5365},[191],{"categories":5367},[104],{"categories":5369},[243],{"categories":5371},[104],{"categories":5373},[104],{"categories":5375},[191],{"categories":5377},[243],{"categories":5379},[104],{"categories":5381},[191],{"categories":5383},[104],{"categories":5385},[155],{"categories":5387},[155],{"categories":5389},[155],{"categories":5391},[169],{"categories":5393},[191],{"categories":5395},[155],{"categories":5397},[155],{"categories":5399},[104],{"categories":5401},[169],{"categories":5403},[243],{"categories":5405},[104],{"categories":5407},[104],{"categories":5409},[155],{"categories":5411},[104],{"categories":5413},[],{"categories":5415},[155],{"categories":5417},[],{"categories":5419},[104],{"categories":5421},[104],{"categories":5423},[],{"categories":5425},[],{"categories":5427},[155],{"categories":5429},[150],{"categories":5431},[155],{"categories":5433},[5434],"Liability & Ethics",{"categories":5436},[104],{"categories":5438},[104],{"categories":5440},[104],{"categories":5442},[155],{"categories":5444},[145],{"categories":5446},[155],{"categories":5448},[150],{"categories":5450},[272],{"categories":5452},[155],{"categories":5454},[104],{"categories":5456},[104],{"categories":5458},[],{"categories":5460},[591],{"categories":5462},[155],{"categories":5464},[],{"categories":5466},[104],{"categories":5468},[145],{"categories":5470},[155],{"categories":5472},[],{"categories":5474},[155],{"categories":5476},[104],{"categories":5478},[104],{"categories":5480},[169],{"categories":5482},[104],{"categories":5484},[191],{"categories":5486},[104],{"categories":5488},[104],{"categories":5490},[158],{"categories":5492},[155],{"categories":5494},[104],{"categories":5496},[104],{"categories":5498},[104],{"categories":5500},[191],{"categories":5502},[155],{"categories":5504},[169],{"categories":5506},[243],{"categories":5508},[145],{"categories":5510},[104],{"categories":5512},[104],{"categories":5514},[104],{"categories":5516},[],{"categories":5518},[155],{"categories":5520},[155],{"categories":5522},[155],{"categories":5524},[486],{"categories":5526},[243],{"categories":5528},[155],{"categories":5530},[313],{"categories":5532},[169],{"categories":5534},[191],{"categories":5536},[104],{"categories":5538},[243],{"categories":5540},[104],{"categories":5542},[145],{"categories":5544},[],{"categories":5546},[155],{"categories":5548},[104],{"categories":5550},[104],{"categories":5552},[104],{"categories":5554},[104],{"categories":5556},[155],{"categories":5558},[104],{"categories":5560},[104],{"categories":5562},[243],{"categories":5564},[],{"categories":5566},[155],{"categories":5568},[158],{"categories":5570},[191],{"categories":5572},[155],{"categories":5574},[150],{"categories":5576},[],{"categories":5578},[104],{"categories":5580},[104],{"categories":5582},[158],{"categories":5584},[104],{"categories":5586},[155],{"categories":5588},[191],{"categories":5590},[145],{"categories":5592},[313],{"categories":5594},[104],{"categories":5596},[104],{"categories":5598},[104],{"categories":5600},[191],{"categories":5602},[150],{"categories":5604},[104],{"categories":5606},[243],{"categories":5608},[191],{"categories":5610},[313],{"categories":5612},[104],{"categories":5614},[155],{"categories":5616},[],{"categories":5618},[545],{"categories":5620},[],{"categories":5622},[104],{"categories":5624},[313],{"categories":5626},[104],{"categories":5628},[194],{"categories":5630},[104],{"categories":5632},[155],{"categories":5634},[155],{"categories":5636},[5637],"Design News & Tools",{"categories":5639},[104],{"categories":5641},[104],{"categories":5643},[191],{"categories":5645},[104],{"categories":5647},[104],{"categories":5649},[145],{"categories":5651},[155],{"categories":5653},[104],{"categories":5655},[243],{"categories":5657},[155],{"categories":5659},[155],{"categories":5661},[243],{"categories":5663},[104],{"categories":5665},[104],{"categories":5667},[486],{"categories":5669},[155],{"categories":5671},[104],{"categories":5673},[104],{"categories":5675},[486],{"categories":5677},[104],{"categories":5679},[272],{"categories":5681},[104],{"categories":5683},[155],{"categories":5685},[],{"categories":5687},[104],{"categories":5689},[104],{"categories":5691},[104],{"categories":5693},[191],{"categories":5695},[104],{"categories":5697},[145],{"categories":5699},[],{"categories":5701},[104],{"categories":5703},[104],{"categories":5705},[104],{"categories":5707},[169],{"categories":5709},[616],{"categories":5711},[169],{"categories":5713},[243],{"categories":5715},[104],{"categories":5717},[104,155],{"categories":5719},[272,150],{"categories":5721},[169],{"categories":5723},[104],{"categories":5725},[104],{"categories":5727},[104],{"categories":5729},[104],{"categories":5731},[],{"categories":5733},[155],{"categories":5735},[104],{"categories":5737},[],{"categories":5739},[104],{"categories":5741},[169],{"categories":5743},[104],{"categories":5745},[169],{"categories":5747},[],{"categories":5749},[155],{"categories":5751},[104],{"categories":5753},[150],{"categories":5755},[104],{"categories":5757},[191],{"categories":5759},[104],{"categories":5761},[],{"categories":5763},[155],{"categories":5765},[104],{"categories":5767},[],{"categories":5769},[243],{"categories":5771},[104],{"categories":5773},[104],{"categories":5775},[155],{"categories":5777},[104],{"categories":5779},[104],{"categories":5781},[145],{"categories":5783},[155],{"categories":5785},[104],{"categories":5787},[],{"categories":5789},[104],{"categories":5791},[313],{"categories":5793},[272],{"categories":5795},[150],{"categories":5797},[150],{"categories":5799},[104],{"categories":5801},[145],{"categories":5803},[145],{"categories":5805},[104],{"categories":5807},[155],{"categories":5809},[104],{"categories":5811},[104],{"categories":5813},[104],{"categories":5815},[104],{"categories":5817},[169],{"categories":5819},[104],{"categories":5821},[145],{"categories":5823},[104],{"categories":5825},[104],{"categories":5827},[155],{"categories":5829},[104],{"categories":5831},[272],{"categories":5833},[104],{"categories":5835},[191],{"categories":5837},[104],{"categories":5839},[104],{"categories":5841},[155],{"categories":5843},[158],{"categories":5845},[104],{"categories":5847},[104],{"categories":5849},[155],{"categories":5851},[],{"categories":5853},[169],{"categories":5855},[],{"categories":5857},[169],{"categories":5859},[155],{"categories":5861},[145],{"categories":5863},[104],{"categories":5865},[],{"categories":5867},[194],{"categories":5869},[313],{"categories":5871},[104],{"categories":5873},[169],{"categories":5875},[104],{"categories":5877},[],{"categories":5879},[191],{"categories":5881},[155],{"categories":5883},[169],{"categories":5885},[243],{"categories":5887},[150],{"categories":5889},[104],{"categories":5891},[104],{"categories":5893},[155],{"categories":5895},[169],{"categories":5897},[155],{"categories":5899},[191],{"categories":5901},[104],{"categories":5903},[158],{"categories":5905},[145],{"categories":5907},[158],{"categories":5909},[191],{"categories":5911},[104],{"categories":5913},[169],{"categories":5915},[104],{"categories":5917},[243],{"categories":5919},[150],{"categories":5921},[104],{"categories":5923},[104],{"categories":5925},[104],{"categories":5927},[104],{"categories":5929},[104],{"categories":5931},[104],{"categories":5933},[155],{"categories":5935},[104],{"categories":5937},[155],{"categories":5939},[104],{"categories":5941},[104],{"categories":5943},[145],{"categories":5945},[104],{"categories":5947},[155],{"categories":5949},[155],{"categories":5951},[243],{"categories":5953},[155],{"categories":5955},[155],{"categories":5957},[104],{"categories":5959},[145],{"categories":5961},[155],{"categories":5963},[243],{"categories":5965},[],{"categories":5967},[104],{"categories":5969},[194],{"categories":5971},[486],{"categories":5973},[104],{"categories":5975},[155],{"categories":5977},[104],{"categories":5979},[104],{"categories":5981},[169],{"categories":5983},[104],{"categories":5985},[],{"categories":5987},[104],{"categories":5989},[155],{"categories":5991},[104],{"categories":5993},[272],{"categories":5995},[104],{"categories":5997},[169],{"categories":5999},[104],{"categories":6001},[191],{"categories":6003},[155],{"categories":6005},[104],{"categories":6007},[272],{"categories":6009},[155],{"categories":6011},[150],{"categories":6013},[150],{"categories":6015},[104],{"categories":6017},[104],{"categories":6019},[104],{"categories":6021},[104],{"categories":6023},[104],{"categories":6025},[104],{"categories":6027},[145],{"categories":6029},[],{"categories":6031},[104],{"categories":6033},[104],{"categories":6035},[155],{"categories":6037},[155],{"categories":6039},[104],{"categories":6041},[104],{"categories":6043},[104],{"categories":6045},[104],{"categories":6047},[104],{"categories":6049},[169],{"categories":6051},[],{"categories":6053},[145],{"categories":6055},[104],{"categories":6057},[104],{"categories":6059},[155],{"categories":6061},[155],{"categories":6063},[],{"categories":6065},[169],{"categories":6067},[169],{"categories":6069},[104],{"categories":6071},[272],{"categories":6073},[150],{"categories":6075},[243],{"categories":6077},[],{"categories":6079},[104],{"categories":6081},[155],{"categories":6083},[145],{"categories":6085},[104],{"categories":6087},[104],{"categories":6089},[169],{"categories":6091},[145],{"categories":6093},[104],{"categories":6095},[104],{"categories":6097},[191],{"categories":6099},[194],{"categories":6101},[104],{"categories":6103},[191],{"categories":6105},[155],{"categories":6107},[104],{"categories":6109},[],{"categories":6111},[191],{"categories":6113},[155],{"categories":6115},[243],{"categories":6117},[194],{"categories":6119},[104],{"categories":6121},[104],{"categories":6123},[],{"categories":6125},[155],{"categories":6127},[155],{"categories":6129},[155],{"categories":6131},[3165],{"categories":6133},[191],{"categories":6135},[104],{"categories":6137},[169],{"categories":6139},[104],{"categories":6141},[104],{"categories":6143},[104],{"categories":6145},[104],{"categories":6147},[104],{"categories":6149},[150],{"categories":6151},[104],{"categories":6153},[145],{"categories":6155},[1828],{"categories":6157},[313],{"categories":6159},[145],{"categories":6161},[],{"categories":6163},[104],{"categories":6165},[],{"categories":6167},[191],{"categories":6169},[155],{"categories":6171},[243],{"categories":6173},[104],{"categories":6175},[104],{"categories":6177},[104],{"categories":6179},[191],{"categories":6181},[],{"categories":6183},[155],{"categories":6185},[104],{"categories":6187},[155],{"categories":6189},[155],{"categories":6191},[],{"categories":6193},[104],{"categories":6195},[],{"categories":6197},[191],{"categories":6199},[145],{"categories":6201},[243],{"categories":6203},[104],{"categories":6205},[155],{"categories":6207},[191],{"categories":6209},[104],{"categories":6211},[191],{"categories":6213},[],{"categories":6215},[191],{"categories":6217},[104],{"categories":6219},[145],{"categories":6221},[486],{"categories":6223},[155],{"categories":6225},[104],{"categories":6227},[],{"categories":6229},[169],{"categories":6231},[155],{"categories":6233},[158],{"categories":6235},[155],{"categories":6237},[145],{"categories":6239},[104],{"categories":6241},[104],{"categories":6243},[],{"categories":6245},[],{"categories":6247},[],{"categories":6249},[243],{"categories":6251},[104],{"categories":6253},[155],{"categories":6255},[104],{"categories":6257},[104],{"categories":6259},[],{"categories":6261},[],{"categories":6263},[],{"categories":6265},[104],{"categories":6267},[155],{"categories":6269},[243],{"categories":6271},[104],{"categories":6273},[],{"categories":6275},[155],{"categories":6277},[104],{"categories":6279},[104],{"categories":6281},[145],{"categories":6283},[],{"categories":6285},[],{"categories":6287},[104],{"categories":6289},[104],{"categories":6291},[155],{"categories":6293},[243],{"categories":6295},[104],{"categories":6297},[191],{"categories":6299},[],{"categories":6301},[104],{"categories":6303},[104],{"categories":6305},[272],{"categories":6307},[191],{"categories":6309},[272],{"categories":6311},[194],{"categories":6313},[104],{"categories":6315},[104],{"categories":6317},[],{"categories":6319},[],{"categories":6321},[155],{"categories":6323},[],{"categories":6325},[104],{"categories":6327},[486],{"categories":6329},[104],{"categories":6331},[104],{"categories":6333},[104],{"categories":6335},[104],{"categories":6337},[],{"categories":6339},[155],{"categories":6341},[104],{"categories":6343},[104],{"categories":6345},[],{"categories":6347},[155],{"categories":6349},[104],{"categories":6351},[191],{"categories":6353},[104],{"categories":6355},[272],{"categories":6357},[150],{"categories":6359},[158],{"categories":6361},[104],{"categories":6363},[104],{"categories":6365},[155],{"categories":6367},[194],{"categories":6369},[155],{"categories":6371},[155],{"categories":6373},[],{"categories":6375},[104],{"categories":6377},[155],{"categories":6379},[],{"categories":6381},[104],{"categories":6383},[],{"categories":6385},[191],{"categories":6387},[150],{"categories":6389},[],{"categories":6391},[104],{"categories":6393},[104],{"categories":6395},[104],{"categories":6397},[],{"categories":6399},[155],{"categories":6401},[243],{"categories":6403},[145],{"categories":6405},[104],{"categories":6407},[],{"categories":6409},[150],{"categories":6411},[272],{"categories":6413},[104],{"categories":6415},[169],{"categories":6417},[145],{"categories":6419},[194],{"categories":6421},[150],{"categories":6423},[169],{"categories":6425},[155],{"categories":6427},[169],{"categories":6429},[],{"categories":6431},[104],{"categories":6433},[158],{"categories":6435},[104],{"categories":6437},[],{"categories":6439},[155],{"categories":6441},[145],{"categories":6443},[243],{"categories":6445},[104],{"categories":6447},[145],{"categories":6449},[155],{"categories":6451},[313],{"categories":6453},[104],{"categories":6455},[104],{"categories":6457},[104],{"categories":6459},[104],{"categories":6461},[104],{"categories":6463},[145],{"categories":6465},[104],{"categories":6467},[169],{"categories":6469},[194],{"categories":6471},[155],{"categories":6473},[],{"categories":6475},[104],{"categories":6477},[104],{"categories":6479},[104],{"categories":6481},[169],{"categories":6483},[155],{"categories":6485},[191],{"categories":6487},[169],{"categories":6489},[104],{"categories":6491},[158],{"categories":6493},[],{"categories":6495},[243],{"categories":6497},[169],{"categories":6499},[191],{"categories":6501},[104],{"categories":6503},[145],{"categories":6505},[155],{"categories":6507},[104],{"categories":6509},[104],{"categories":6511},[155],{"categories":6513},[158],{"categories":6515},[104],{"categories":6517},[155],{"categories":6519},[104],{"categories":6521},[150],{"categories":6523},[155],{"categories":6525},[155,313],{"categories":6527},[104],{"categories":6529},[104],{"categories":6531},[155],{"categories":6533},[169],{"categories":6535},[104],{"categories":6537},[104],{"categories":6539},[194],{"categories":6541},[155],{"categories":6543},[272],{"categories":6545},[155],{"categories":6547},[150],{"categories":6549},[],{"categories":6551},[155],{"categories":6553},[104],{"categories":6555},[150],{"categories":6557},[],{"categories":6559},[],{"categories":6561},[169],{"categories":6563},[104],{"categories":6565},[104],{"categories":6567},[155],{"categories":6569},[194],{"categories":6571},[272],{"categories":6573},[104],{"categories":6575},[104],{"categories":6577},[104],{"categories":6579},[155],{"categories":6581},[],{"categories":6583},[155],{"categories":6585},[191],{"categories":6587},[104],{"categories":6589},[155],{"categories":6591},[155],{"categories":6593},[104],{"categories":6595},[],{"categories":6597},[191],{"categories":6599},[169],{"categories":6601},[3165],{"categories":6603},[145],{"categories":6605},[169],{"categories":6607},[104],{"categories":6609},[155],{"categories":6611},[104],{"categories":6613},[104],{"categories":6615},[272],{"categories":6617},[169],{"categories":6619},[194],{"categories":6621},[],{"categories":6623},[191],{"categories":6625},[104],{"categories":6627},[104],{"categories":6629},[],{"categories":6631},[155],{"categories":6633},[104],{"categories":6635},[104],{"categories":6637},[104],{"categories":6639},[104],{"categories":6641},[155],{"categories":6643},[104],{"categories":6645},[104],{"categories":6647},[104],{"categories":6649},[158],{"categories":6651},[104],{"categories":6653},[155],{"categories":6655},[104],{"categories":6657},[104],{"categories":6659},[104],{"categories":6661},[104],{"categories":6663},[104],{"categories":6665},[104],{"categories":6667},[104],{"categories":6669},[150],{"categories":6671},[],{"categories":6673},[158],{"categories":6675},[191],{"categories":6677},[155],{"categories":6679},[104],{"categories":6681},[169],{"categories":6683},[],{"categories":6685},[169],{"categories":6687},[169],{"categories":6689},[155],{"categories":6691},[169],{"categories":6693},[104],{"categories":6695},[104],{"categories":6697},[104],{"categories":6699},[155],{"categories":6701},[169],{"categories":6703},[104],{"categories":6705},[104],{"categories":6707},[104],{"categories":6709},[155],{"categories":6711},[191],{"categories":6713},[104],{"categories":6715},[104],{"categories":6717},[104],{"categories":6719},[150],{"categories":6721},[104],{"categories":6723},[155],{"categories":6725},[243],{"categories":6727},[],{"categories":6729},[104],{"categories":6731},[194],{"categories":6733},[155],{"categories":6735},[104],{"categories":6737},[104],{"categories":6739},[],{"categories":6741},[104],{"categories":6743},[104],{"categories":6745},[191],{"categories":6747},[104],{"categories":6749},[104],{"categories":6751},[155],{"categories":6753},[272],{"categories":6755},[],{"categories":6757},[],{"categories":6759},[169],{"categories":6761},[104],{"categories":6763},[104],{"categories":6765},[191],{"categories":6767},[104],{"categories":6769},[169],{"categories":6771},[191],{"categories":6773},[104],{"categories":6775},[104],{"categories":6777},[272],{"categories":6779},[194],{"categories":6781},[104],{"categories":6783},[104],{"categories":6785},[145],{"categories":6787},[155],{"categories":6789},[104],{"categories":6791},[104],{"categories":6793},[155],{"categories":6795},[150],{"categories":6797},[155],{"categories":6799},[169],{"categories":6801},[104],{"categories":6803},[150],{"categories":6805},[],{"categories":6807},[104],{"categories":6809},[194],{"categories":6811},[104],{"categories":6813},[104],{"categories":6815},[],{"categories":6817},[191],{"categories":6819},[104],{"categories":6821},[155],{"categories":6823},[194],{"categories":6825},[104],{"categories":6827},[169],{"categories":6829},[169],{"categories":6831},[169],{"categories":6833},[104],{"categories":6835},[155],{"categories":6837},[155],{"categories":6839},[104],{"categories":6841},[155],{"categories":6843},[104],{"categories":6845},[104],{"categories":6847},[243],{"categories":6849},[194],{"categories":6851},[194],{"categories":6853},[],{"categories":6855},[191],{"categories":6857},[104],{"categories":6859},[104],{"categories":6861},[169],{"categories":6863},[],{"categories":6865},[191],{"categories":6867},[191],{"categories":6869},[191],{"categories":6871},[],{"categories":6873},[155],{"categories":6875},[104],{"categories":6877},[],{"categories":6879},[145],{"categories":6881},[150],{"categories":6883},[],{"categories":6885},[104],{"categories":6887},[104],{"categories":6889},[],{"categories":6891},[169],{"categories":6893},[],{"categories":6895},[],{"categories":6897},[],{"categories":6899},[],{"categories":6901},[104],{"categories":6903},[191],{"categories":6905},[],{"categories":6907},[],{"categories":6909},[104],{"categories":6911},[104],{"categories":6913},[104],{"categories":6915},[194],{"categories":6917},[104],{"categories":6919},[194],{"categories":6921},[],{"categories":6923},[194],{"categories":6925},[194],{"categories":6927},[313],{"categories":6929},[155],{"categories":6931},[169],{"categories":6933},[],{"categories":6935},[],{"categories":6937},[194],{"categories":6939},[169],{"categories":6941},[169],{"categories":6943},[169],{"categories":6945},[],{"categories":6947},[145],{"categories":6949},[169],{"categories":6951},[169],{"categories":6953},[145],{"categories":6955},[169],{"categories":6957},[150],{"categories":6959},[169],{"categories":6961},[169],{"categories":6963},[169],{"categories":6965},[194],{"categories":6967},[191],{"categories":6969},[191],{"categories":6971},[104],{"categories":6973},[169],{"categories":6975},[194],{"categories":6977},[313],{"categories":6979},[194],{"categories":6981},[194],{"categories":6983},[194],{"categories":6985},[],{"categories":6987},[150],{"categories":6989},[],{"categories":6991},[313],{"categories":6993},[169],{"categories":6995},[169],{"categories":6997},[169],{"categories":6999},[155],{"categories":7001},[191,150],{"categories":7003},[194],{"categories":7005},[],{"categories":7007},[],{"categories":7009},[194],{"categories":7011},[],{"categories":7013},[194],{"categories":7015},[191],{"categories":7017},[155],{"categories":7019},[],{"categories":7021},[169],{"categories":7023},[104],{"categories":7025},[243],{"categories":7027},[],{"categories":7029},[104],{"categories":7031},[],{"categories":7033},[191],{"categories":7035},[145],{"categories":7037},[194],{"categories":7039},[],{"categories":7041},[169],{"categories":7043},[191],[7045,7156,7240,7347],{"id":7046,"title":7047,"ai":7048,"body":7053,"categories":7126,"created_at":105,"date_modified":105,"description":98,"extension":106,"faq":105,"featured":107,"kicker_label":105,"meta":7127,"navigation":119,"path":7139,"published_at":7140,"question":105,"scraped_at":7141,"seo":7142,"sitemap":7143,"source_id":7144,"source_name":7145,"source_type":127,"source_url":7146,"stem":7147,"tags":7148,"thumbnail_url":7151,"tldr":7152,"tweet":7153,"unknown_tags":7154,"__hash__":7155},"summaries\u002Fsummaries\u002Fef3b4b30bc356083-why-top-founders-are-racing-into-ai-infrastructure-summary.md","Why Top Founders Are Racing Into AI Infrastructure",{"provider":7,"model":8,"input_tokens":7049,"output_tokens":7050,"processing_time_ms":7051,"cost_usd":7052},8920,843,4120,0.0034945,{"type":14,"value":7054,"toc":7119},[7055,7059,7062,7066,7069,7073,7076,7080,7083,7087],[17,7056,7058],{"id":7057},"the-shift-from-engineering-to-resource-constraints","The Shift from Engineering to Resource Constraints",[22,7060,7061],{},"The panelists argue that the AI industry has reached a pivotal transition. Historically, software development was governed by \"The Mythical Man-Month\"—the idea that adding more engineers to a project does not linearly increase output. In the current AI era, however, this constraint has been replaced by a resource-based one. If you have sufficient capital, GPUs, and power, you can effectively \"buy\" progress. This shift has fundamentally changed the venture capital landscape, as founders are now tackling \"hard\" technical problems in hardware, power, and networking rather than just application-layer software.",[17,7063,7065],{"id":7064},"the-unprecedented-supply-crunch","The Unprecedented Supply Crunch",[22,7067,7068],{},"Demand for AI compute is currently outpacing supply to an extent never before seen in the tech industry. Unlike the internet boom of the late 90s, where much of the infrastructure buildout was speculative (\"dark fiber\"), current GPU and memory capacity is largely pre-sold through 2028. The panelists note that hyperscaler CapEx is projected to reach $1 trillion collectively, driven by the realization that AI models are no longer the bottleneck—the infrastructure \"south of the model\" is. This includes everything from the physical mining of copper to the cooling systems and power generation required to run massive data centers.",[17,7070,7072],{"id":7071},"the-infinite-demand-for-tokens","The Infinite Demand for Tokens",[22,7074,7075],{},"Why does compute demand continue to explode rather than level off? The panelists identify a self-reinforcing loop: as AI models move from simple chatbots to complex reasoning agents and \"computer-use\" agents (which perform tasks like updating credit cards or managing subscriptions), the token consumption per task increases by orders of magnitude. Furthermore, AI is increasingly being used to build AI, creating an autocatalytic effect. Because every problem with a clear reward signal can be solved by throwing more compute at it, the demand for intelligence is effectively vertical with no natural regulator in sight.",[17,7077,7079],{"id":7078},"rebuilding-the-computing-stack","Rebuilding the Computing Stack",[22,7081,7082],{},"Because existing data centers were designed for a different era of computing, they are hitting physical limits regarding power density and cooling. The \"Machine Age\" requires a total redesign of the stack. This creates a massive opportunity for new infrastructure companies to emerge, similar to how Cisco, Juniper, and Arista emerged during previous computing epochs. The panelists emphasize that this is not just about more chips; it is about rethinking the entire path from power source to the silicon, as the industry is currently limited by its ability to generate and deliver the physical resources required to sustain the growth of AI software.",[17,7084,7086],{"id":7085},"key-takeaways","Key Takeaways",[71,7088,7089,7095,7101,7107,7113],{},[29,7090,7091,7094],{},[32,7092,7093],{},"Resource-Driven Scaling:"," AI progress is now a function of capital and hardware availability; throwing money at compute clusters is a viable strategy for achieving breakthroughs.",[29,7096,7097,7100],{},[32,7098,7099],{},"Infrastructure Bottlenecks:"," The primary constraints are no longer model architecture but power, cooling, memory, and networking hardware.",[29,7102,7103,7106],{},[32,7104,7105],{},"The Agentic Wave:"," The transition from chatbots to autonomous agents that \"use computers\" like humans will drive a massive, sustained increase in token demand.",[29,7108,7109,7112],{},[32,7110,7111],{},"Hardware Renaissance:"," There is a significant shift in founder interest, with a much higher percentage of top-tier teams now tackling complex hardware and systems problems.",[29,7114,7115,7118],{},[32,7116,7117],{},"Long-Term Horizon:"," The supply chain is booked out for years, signaling that this is a long-term structural shift rather than a temporary hype cycle.",{"title":98,"searchDepth":99,"depth":99,"links":7120},[7121,7122,7123,7124,7125],{"id":7057,"depth":99,"text":7058},{"id":7064,"depth":99,"text":7065},{"id":7071,"depth":99,"text":7072},{"id":7078,"depth":99,"text":7079},{"id":7085,"depth":99,"text":7086},[104],{"content_references":7128,"triage":7136},[7129,7133],{"type":7130,"title":7131,"author":7132,"context":113},"book","The Mythical Man-Month","Fred Brooks",{"type":7134,"title":7135,"context":113},"event","Hot Chips",{"relevance":116,"novelty":116,"quality":115,"actionability":99,"composite":7137,"reasoning":7138},3.05,"Category: Business & SaaS. The article discusses the shift in the AI industry from software engineering constraints to infrastructure limitations, which is relevant for founders and builders in the AI space. However, while it provides insights into the current landscape, it lacks specific actionable steps for product builders to implement in their own projects.","\u002Fsummaries\u002Fef3b4b30bc356083-why-top-founders-are-racing-into-ai-infrastructure-summary","2026-08-28 13:11:59","2026-08-29 03:12:27",{"title":7047,"description":98},{"loc":7139},"ef3b4b30bc356083","a16z (Andreessen Horowitz)","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=Zx1Ec8LWFeM","summaries\u002Fef3b4b30bc356083-why-top-founders-are-racing-into-ai-infrastructure-summary",[7149,7150,131,132],"saas","startups","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FZx1Ec8LWFeM\u002Fhqdefault.jpg","The bottleneck for AI has shifted from model capabilities to physical infrastructure. With demand for compute effectively infinite, the industry is entering a 'Machine Age' where capital and hardware availability—not just engineering talent—determine success.","This is a promotional conversation between [a16z](https:\u002F\u002Ftwitter.com\u002Fa16z) partners announcing their new \"Machine Age Fund.\" The participants discuss why they believe AI infrastructure—ranging from power and cooling to specialized hardware—is currently the primary bottleneck for AI growth, rather than the models themselves.",[131,132],"9tsa6dz9-4BcD0o2TnMY_vZXhkqtd9ielTLpoQY-WMM",{"id":7157,"title":7158,"ai":7159,"body":7164,"categories":7206,"created_at":105,"date_modified":105,"description":98,"extension":106,"faq":105,"featured":107,"kicker_label":105,"meta":7207,"navigation":119,"path":7224,"published_at":7225,"question":105,"scraped_at":7226,"seo":7227,"sitemap":7228,"source_id":7229,"source_name":7230,"source_type":127,"source_url":7231,"stem":7232,"tags":7233,"thumbnail_url":7235,"tldr":7236,"tweet":7237,"unknown_tags":7238,"__hash__":7239},"summaries\u002Fsummaries\u002Fc3c97e5ce597c630-the-shift-from-open-source-community-to-open-weigh-summary.md","The Shift from Open Source Community to Open Weights Economics",{"provider":7,"model":8,"input_tokens":7160,"output_tokens":7161,"processing_time_ms":7162,"cost_usd":7163},7501,790,4519,0.00306025,{"type":14,"value":7165,"toc":7201},[7166,7170,7173,7181,7185,7188,7191,7195,7198],[17,7167,7169],{"id":7168},"the-collapse-of-the-open-source-community","The Collapse of the Open Source Community",[22,7171,7172],{},"The traditional open-source model—built on trust and community contributions—is effectively dead. The influx of AI-generated pull requests, issues, and security reports has turned GitHub into an archive of \"slop.\" This has forced major projects to adopt defensive postures: Zig has banned AI contributions to protect its contributor-growth model, curl is considering ending its bug bounty program due to AI-generated noise, and tldraw now rejects all pull requests on sight.",[22,7174,7175,7176,7180],{},"Beyond the noise, the supply chain risk has become catastrophic. The author highlights the compromise of the ",[7177,7178,7179],"code",{},"litellm"," package, where attackers used a GitHub app to inject a credential harvester that remained undetected for three hours. This incident underscores why open-source projects can no longer rely on the assumption of good faith from third-party contributors.",[17,7182,7184],{"id":7183},"the-economic-case-for-open-weights","The Economic Case for Open Weights",[22,7186,7187],{},"While the community aspect of open source is failing, the \"open weights\" model is succeeding due to pure economic necessity. Enterprises are currently locked into expensive, closed-source API ecosystems, leading to massive, often accidental, spending. The author argues that closed-source labs are subsidizing these costs to create vendor lock-in, with the intent to raise prices once developers are fully dependent on their specific tooling.",[22,7189,7190],{},"However, businesses are beginning to prioritize cost-efficiency over raw model intelligence. By shifting to open weights models (such as GLM or Kimi), companies like Coinbase have cut AI spending by nearly 50% while maintaining or increasing token usage. The author posits that the \"intelligence\" of an agent is increasingly a function of the system architecture—specifically the context, tools, and verification guardrails provided—rather than the raw capability of the underlying model.",[17,7192,7194],{"id":7193},"the-open-compute-precedent-and-future-strategy","The Open Compute Precedent and Future Strategy",[22,7196,7197],{},"The author draws a parallel to the Open Compute Project, where Facebook commoditized server hardware by open-sourcing its designs, ultimately driving down costs for the entire industry. A similar commoditization is happening in AI inference. As hosting providers compete on efficiency, inference costs for large models are projected to drop by 90% by 2030.",[22,7199,7200],{},"To maintain a competitive edge, the author urges American AI labs to release open weights models. If the industry standardizes on foreign open weights models, the marginal quality gains of closed-source American models may not be enough to win back market share. By releasing open weights, American labs can foster an ecosystem that aligns with their values and prevents the industry from becoming entirely dependent on foreign infrastructure.",{"title":98,"searchDepth":99,"depth":99,"links":7202},[7203,7204,7205],{"id":7168,"depth":99,"text":7169},{"id":7183,"depth":99,"text":7184},{"id":7193,"depth":99,"text":7194},[104],{"content_references":7208,"triage":7221},[7209,7213,7218],{"type":111,"title":7210,"url":7211,"context":7212},"Cline","https:\u002F\u002Fcline.bot","recommended",{"type":7214,"title":7215,"publisher":7216,"context":7217},"report","SemiAnalysis AI Experiments","SemiAnalysis","cited",{"type":7219,"title":7220,"context":7217},"other","Open Compute Project",{"relevance":115,"novelty":116,"quality":115,"actionability":99,"composite":7222,"reasoning":7223},3.4,"Category: AI & LLMs. The article discusses the shift from traditional open-source models to open weights economics, which is relevant to AI product builders considering cost-effective AI solutions. However, while it presents some new perspectives on the economic implications of this shift, it lacks specific actionable steps for implementation.","\u002Fsummaries\u002Fc3c97e5ce597c630-the-shift-from-open-source-community-to-open-weigh-summary","2026-08-07 23:26:51","2026-08-08 03:09:55",{"title":7158,"description":98},{"loc":7224},"c3c97e5ce597c630","AI Engineer","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=CoEIs6Xm8m8","summaries\u002Fc3c97e5ce597c630-the-shift-from-open-source-community-to-open-weigh-summary",[7234,7149,131,132],"open-source","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FCoEIs6Xm8m8\u002Fhqdefault.jpg","While the traditional open-source community is collapsing due to AI-driven distrust and security risks, 'open weights' models are emerging as the new standard by commoditizing inference and forcing a shift toward cost-efficient, system-level AI verification.","Saoud Rizwan argues that the \"community\" aspect of open source is effectively dead due to AI-driven noise and security risks, but contends that \"open weights\" models will survive because they offer a necessary economic alternative to the vendor lock-in of closed-source AI labs.",[131,132],"_ugMgliln8bVtlRGAO_HeGqW7tsgZL4ihj8ab_gwZQo",{"id":7241,"title":7242,"ai":7243,"body":7248,"categories":7319,"created_at":105,"date_modified":105,"description":98,"extension":106,"faq":105,"featured":107,"kicker_label":105,"meta":7320,"navigation":119,"path":7331,"published_at":7332,"question":105,"scraped_at":7333,"seo":7334,"sitemap":7335,"source_id":7336,"source_name":7230,"source_type":127,"source_url":7337,"stem":7338,"tags":7339,"thumbnail_url":7342,"tldr":7343,"tweet":7344,"unknown_tags":7345,"__hash__":7346},"summaries\u002Fsummaries\u002F2c2d742635793668-closing-the-ai-capability-gap-with-high-fidelity-i-summary.md","Closing the AI Capability Gap with High-Fidelity Infrastructure Simulation",{"provider":7,"model":8,"input_tokens":7244,"output_tokens":7245,"processing_time_ms":7246,"cost_usd":7247},6593,703,3460,0.00270275,{"type":14,"value":7249,"toc":7314},[7250,7254,7257,7261,7264,7290,7293,7297,7300],[17,7251,7253],{"id":7252},"the-data-gap-in-ai-engineering","The Data Gap in AI Engineering",[22,7255,7256],{},"Modern AI agents excel at application-layer tasks but struggle with infrastructure-level reasoning. Current benchmarks (e.g., SWE-bench) rely on isolated codebases where an agent performs a task over 50–100 turns to produce a code diff. This approach ignores the reality of software engineering: managing distributed nodes, handling network partitions, dealing with clock skew, and navigating organizational context like tickets and post-mortems. The core argument is that model capability is limited by the quality and fidelity of the training data; if the environment is a sterile, single-node sandbox, the agent will never learn to handle the messy, high-stakes reality of production systems.",[17,7258,7260],{"id":7259},"moving-beyond-single-node-sandboxes","Moving Beyond Single-Node Sandboxes",[22,7262,7263],{},"To bridge this gap, Emulated advocates for \"full-fidelity\" simulation. A production-grade task is not just a code change; it involves:",[71,7265,7266,7272,7278,7284],{},[29,7267,7268,7271],{},[32,7269,7270],{},"Resource Provisioning:"," Managing VPCs, subnets, and security groups.",[29,7273,7274,7277],{},[32,7275,7276],{},"Operational Constraints:"," Meeting strict bars for cost, latency, and deployment safety.",[29,7279,7280,7283],{},[32,7281,7282],{},"Blast Radius Management:"," Performing rolling deployments and rollbacks while serving live traffic.",[29,7285,7286,7289],{},[32,7287,7288],{},"System Complexity:"," Handling failures in distributed clusters (e.g., etcd consensus issues) and managing external dependencies.",[22,7291,7292],{},"While single-node containers are useful for basic testing, they fail to represent the multi-node, multi-service architecture of companies like AWS or Vercel. Emulated proposes \"cloud-in-a-box\" environments that provision real infrastructure, allowing agents to learn how to operate systems that are living, evolving, and prone to unforeseen failures.",[17,7294,7296],{"id":7295},"why-infrastructure-is-the-starting-point","Why Infrastructure is the Starting Point",[22,7298,7299],{},"Emulated focuses on infrastructure for two primary reasons:",[26,7301,7302,7308],{},[29,7303,7304,7307],{},[32,7305,7306],{},"Domain Expertise:"," High-quality data requires deep domain knowledge. By starting with infrastructure—a field with clear, well-defined problem statements—the team can create higher-fidelity training data than they could for more abstract or ambiguous domains.",[29,7309,7310,7313],{},[32,7311,7312],{},"Vertical to Horizontal Scaling:"," Infrastructure provides a concrete foundation for testing agent autonomy. Lessons learned in managing distributed systems and cloud resources provide a blueprint for eventually simulating entire companies, which can then be applied to other horizontal domains.",{"title":98,"searchDepth":99,"depth":99,"links":7315},[7316,7317,7318],{"id":7252,"depth":99,"text":7253},{"id":7259,"depth":99,"text":7260},{"id":7295,"depth":99,"text":7296},[104],{"content_references":7321,"triage":7328},[7322,7325],{"type":111,"title":7323,"url":7324,"context":113},"SWE-bench","https:\u002F\u002Fwww.swebench.com\u002F",{"type":111,"title":7326,"url":7327,"context":7212},"Emulated","https:\u002F\u002Femulated.so\u002F",{"relevance":115,"novelty":115,"quality":115,"actionability":116,"composite":7329,"reasoning":7330},3.8,"Category: AI & LLMs. The article discusses the limitations of current AI agents in handling complex infrastructure tasks and proposes a solution through high-fidelity simulations, addressing a specific pain point for AI developers. It provides insights into operational challenges that AI agents face, which is relevant for those building AI-powered products.","\u002Fsummaries\u002F2c2d742635793668-closing-the-ai-capability-gap-with-high-fidelity-i-summary","2026-07-31 21:00:03","2026-08-01 03:12:31",{"title":7242,"description":98},{"loc":7331},"2c2d742635793668","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=zkX03APVj0M","summaries\u002F2c2d742635793668-closing-the-ai-capability-gap-with-high-fidelity-i-summary",[7340,131,132,7341],"agents","distributed-systems","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FzkX03APVj0M\u002Fhqdefault.jpg","Current AI agents fail at complex infrastructure tasks because training environments are too simple. Emulated builds high-fidelity, multi-node simulations of entire companies to train agents on real-world operational challenges like distributed system failures, resource provisioning, and live traffic management.","This presentation argues that current AI benchmarks are too narrow because they focus on code diffs rather than the messy reality of infrastructure engineering. The speakers introduce [Emulated](https:\u002F\u002Femulated.so\u002F), a platform that simulates entire company environments—including network failures, resource provisioning, and distributed system constraints—to provide more realistic training data for autonomous agents.",[131,132,7341],"fBpyQ--ui6ML1xZIEimCv34SY4pgQIRfoxhp7EhxKDs",{"id":7348,"title":7349,"ai":7350,"body":7355,"categories":7497,"created_at":105,"date_modified":105,"description":98,"extension":106,"faq":105,"featured":107,"kicker_label":105,"meta":7498,"navigation":119,"path":7508,"published_at":7509,"question":105,"scraped_at":7510,"seo":7511,"sitemap":7512,"source_id":7513,"source_name":7230,"source_type":127,"source_url":7514,"stem":7515,"tags":7516,"thumbnail_url":7519,"tldr":7520,"tweet":7521,"unknown_tags":7522,"__hash__":7523},"summaries\u002Fsummaries\u002F31866b96ada4356b-text-diffusion-low-latency-generation-and-bidirect-summary.md","Text Diffusion: Low-Latency Generation and Bidirectional Reasoning",{"provider":7,"model":8,"input_tokens":7351,"output_tokens":7352,"processing_time_ms":7353,"cost_usd":7354},8907,1177,6095,0.00399225,{"type":14,"value":7356,"toc":7488},[7357,7361,7364,7367,7371,7378,7381,7385,7388,7402,7406,7409,7413,7416,7436,7438,7470,7474],[17,7358,7360],{"id":7359},"the-architectural-shift-diffusion-vs-autoregression","The Architectural Shift: Diffusion vs. Autoregression",[22,7362,7363],{},"Traditional LLMs (GPT-4, Gemini) operate autoregressively, generating one token at a time. This is inherently bottlenecked by memory bandwidth—the chip must stream the entire model and KV cache for every single token.",[22,7365,7366],{},"Text diffusion flips this paradigm. Instead of predicting the next token, the model initializes a block of tokens as random noise and iteratively refines that canvas over multiple denoising steps. Because this approach generates blocks of text simultaneously, it performs significantly fewer memory transfers than autoregressive models. By generating 256 tokens in roughly 24 steps, the model achieves a 10x reduction in memory movement, leading to much lower latency.",[17,7368,7370],{"id":7369},"bidirectional-reasoning-and-self-correction","Bidirectional Reasoning and Self-Correction",[22,7372,7373,7374,7377],{},"Because diffusion models are not restricted by causal (left-to-right) attention, they can attend to future tokens within the generation window. This enables a unique capability: ",[32,7375,7376],{},"self-correction",".",[22,7379,7380],{},"In a demonstration, a diffusion model initially guessed an incorrect answer to a complex math problem. However, as it continued its forward passes and completed the reasoning steps, it was able to look back at its initial output and correct the answer. Standard autoregressive models, by contrast, are often forced to \"stick to their guns\" once a token is committed, even if subsequent reasoning proves the initial token wrong.",[17,7382,7384],{"id":7383},"dynamic-and-adaptive-computation","Dynamic and Adaptive Computation",[22,7386,7387],{},"Diffusion models allow for a flexible compute budget.",[71,7389,7390,7396],{},[29,7391,7392,7395],{},[32,7393,7394],{},"Non-monotonic quality:"," Generally, increasing the number of denoising steps (forward passes) improves quality, as the model has more opportunities to refine its output.",[29,7397,7398,7401],{},[32,7399,7400],{},"Adaptive computation:"," The model can be trained to determine when it has reached a sufficient level of confidence. Simple tasks (e.g., reciting digits of Pi) may take only 4 steps, while complex tasks (e.g., explaining quantum mechanics) may automatically trigger 30+ steps. This allows the model to spend compute resources only where the complexity of the task demands it.",[17,7403,7405],{"id":7404},"the-trade-off-throughput-and-cost","The Trade-off: Throughput and Cost",[22,7407,7408],{},"Despite the latency benefits, text diffusion is not yet the industry standard for large-scale serving. Autoregressive models are highly efficient at high batch sizes, where they can saturate GPU\u002FTPU compute cores. Diffusion models, which require multiple forward passes per query, hit compute thresholds much faster, leading to lower overall throughput and higher serving costs at scale.",[17,7410,7412],{"id":7411},"future-applications-the-2000-tokensecond-threshold","Future Applications: The 2,000 Token\u002FSecond Threshold",[22,7414,7415],{},"When latency drops to the 2,000 tokens-per-second range, the nature of UI\u002FUX changes. The presentation demonstrates:",[71,7417,7418,7424,7430],{},[29,7419,7420,7423],{},[32,7421,7422],{},"On-the-fly generation:"," Web pages (Wikipedia, Reddit) where the HTML, text, and images are generated in real-time as the user interacts.",[29,7425,7426,7429],{},[32,7427,7428],{},"Generative OS:"," An operating system interface where every click triggers the generation of the next screen.",[29,7431,7432,7435],{},[32,7433,7434],{},"Vibe Coding:"," The ability to build functional applications (e.g., a To-Do app with sorting and dark mode) via voice commands in under 15 seconds.",[17,7437,7086],{"id":7085},[71,7439,7440,7446,7452,7458,7464],{},[29,7441,7442,7445],{},[32,7443,7444],{},"Latency vs. Throughput:"," Diffusion models excel at low-latency, single-user interactions but currently struggle with the high-throughput efficiency required for massive SaaS scale.",[29,7447,7448,7451],{},[32,7449,7450],{},"Bidirectional Advantage:"," The ability to see \"future\" tokens allows diffusion models to perform self-correction, a major hurdle for autoregressive architectures.",[29,7453,7454,7457],{},[32,7455,7456],{},"Adaptive Compute:"," Models can be trained to allocate more compute to difficult problems and less to trivial ones, optimizing the balance between speed and accuracy.",[29,7459,7460,7463],{},[32,7461,7462],{},"Hardware Bottlenecks:"," The speed advantage of diffusion comes from reducing memory-bound operations (streaming weights) by performing more computation per memory transfer.",[29,7465,7466,7469],{},[32,7467,7468],{},"New UX Paradigms:"," Ultra-low latency enables \"generative interfaces\" where the UI is not pre-built but synthesized on-the-fly based on user intent.",[17,7471,7473],{"id":7472},"notable-quotes","Notable Quotes",[71,7475,7476,7479,7482,7485],{},[29,7477,7478],{},"\"It can do self-corrected generation based on future tokens. It could... see that it got the answer incorrect and then go back and fix the reasoning and do it again.\"",[29,7480,7481],{},"\"It turns out that both GPUs and TPUs have a lot of flops and not that much bandwidth... because of that ratio, you can do the more flops you do for each streaming amount of data you put through, the better.\"",[29,7483,7484],{},"\"It's not just the same thing faster. It can really unlock some new, really new applications.\"",[29,7486,7487],{},"\"Gemini 2.5 Flash also made a mistake... and it actually just stuck to its guns and never changed it and said 36 plus 3 is 42. So it incorporated the error into its reasoning later.\"",{"title":98,"searchDepth":99,"depth":99,"links":7489},[7490,7491,7492,7493,7494,7495,7496],{"id":7359,"depth":99,"text":7360},{"id":7369,"depth":99,"text":7370},{"id":7383,"depth":99,"text":7384},{"id":7404,"depth":99,"text":7405},{"id":7411,"depth":99,"text":7412},{"id":7085,"depth":99,"text":7086},{"id":7472,"depth":99,"text":7473},[104],{"content_references":7499,"triage":7506},[7500,7502,7504],{"type":111,"title":7501,"context":113},"Gemini Diffusion",{"type":111,"title":7503,"context":113},"GPT-4o",{"type":111,"title":7505,"context":113},"Gemini 2.5 Flash",{"relevance":115,"novelty":115,"quality":115,"actionability":116,"composite":7329,"reasoning":7507},"Category: AI & LLMs. The article discusses a novel approach to text generation using diffusion models, which addresses the audience's pain point of understanding new AI techniques for practical application. It provides insights into the architectural differences and benefits of diffusion models over traditional autoregressive models, which can help builders consider new methods for AI integration.","\u002Fsummaries\u002F31866b96ada4356b-text-diffusion-low-latency-generation-and-bidirect-summary","2026-06-04 18:00:06","2026-06-06 16:08:50",{"title":7349,"description":98},{"loc":7508},"31866b96ada4356b","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=r305-aQTaU0","summaries\u002F31866b96ada4356b-text-diffusion-low-latency-generation-and-bidirect-summary",[131,134,7517,7518],"latency","diffusion-models","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002Fr305-aQTaU0\u002Fhqdefault.jpg","Text diffusion models offer significantly lower latency than autoregressive models by generating text in parallel blocks, enabling bidirectional reasoning, self-correction, and dynamic computation.","This talk explains why text diffusion models are faster than standard autoregressive models by reducing memory-bound bottlenecks, while noting that they remain currently impractical for large-scale deployment due to higher compute costs per batch.",[131,134,7517,7518],"JSGMoD6QVZieIH1JLs94B0YGUZPYpXmkTl0_pt9FcqE"]