[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-9a0e66bbe97849fd-html-beats-markdown-for-llm-outputs-summary":3,"summaries-facets-categories":133,"summary-related-9a0e66bbe97849fd-html-beats-markdown-for-llm-outputs-summary":7064},{"id":4,"title":5,"ai":6,"body":13,"categories":89,"created_at":90,"date_modified":90,"description":83,"extension":91,"faq":90,"featured":92,"kicker_label":90,"meta":93,"navigation":116,"path":117,"published_at":118,"question":90,"scraped_at":118,"seo":119,"sitemap":120,"source_id":121,"source_name":122,"source_type":123,"source_url":124,"stem":125,"tags":126,"thumbnail_url":90,"tldr":130,"tweet":90,"unknown_tags":131,"__hash__":132},"summaries\u002Fsummaries\u002F9a0e66bbe97849fd-html-beats-markdown-for-llm-outputs-summary.md","HTML Beats Markdown for LLM Outputs",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","x-ai\u002Fgrok-4.1-fast",4544,1961,25707,0.0018668,{"type":14,"value":15,"toc":82},"minimark",[16,21,25,35,39,42,49,52,62,70,74],[17,18,20],"h2",{"id":19},"html-enables-rich-interactive-explanations-from-llms","HTML Enables Rich, Interactive Explanations from LLMs",[22,23,24],"p",{},"LLMs produce superior outputs in HTML over Markdown because HTML supports embedded SVG diagrams, interactive widgets, and in-page navigation, making complex information easier to explore. Previously, Markdown was preferred for its token efficiency—e.g., GPT-4's 8,192 token limit made HTML too verbose—but modern models like Claude handle HTML's overhead without issue. This shift prioritizes usability: HTML turns static text into dynamic, visual aids that convey concepts faster than plain Markdown.",[22,26,27,28,34],{},"Trade-off: HTML uses more tokens for output, but the enhanced clarity justifies it for explanations, PR reviews, or code breakdowns. Anthropic's Claude Code team demonstrates this with examples like annotated diffs and visual flows, collected at ",[29,30,31],"a",{"href":31,"rel":32},"https:\u002F\u002Fthariqs.github.io\u002Fhtml-effectiveness\u002F",[33],"nofollow",".",[17,36,38],{"id":37},"proven-prompts-for-html-artifacts","Proven Prompts for HTML Artifacts",[22,40,41],{},"Use targeted prompts to leverage HTML's strengths:",[43,44,45],"ul",{},[46,47,48],"li",{},"For PR reviews: \"Help me review this PR by creating an HTML artifact that describes it. I'm not very familiar with the streaming\u002Fbackpressure logic so focus on that. Render the actual diff with inline margin annotations, color-code findings by severity and whatever else might be needed to convey the concept well.\"",[22,50,51],{},"This generates color-coded diffs, severity badges, and explanatory visuals in one artifact.",[43,53,54],{},[46,55,56,57,61],{},"For code explanation: Simon Willison tested on copy.fail (a Linux exploit POC in obfuscated Python): \"curl ",[29,58,59],{"href":59,"rel":60},"https:\u002F\u002Fcopy.fail\u002Fexp",[33]," | llm -m gpt-5.5 -s 'Explain this code in detail. Reformat it, expand out any confusing bits and go deep into what it does and how it works. Output HTML, neatly styled and using capabilities of HTML and CSS and JavaScript to make the explanation rich and interactive and as clear as possible'\"",[22,63,64,65,69],{},"Result: A styled HTML page (",[29,66,67],{"href":67,"rel":68},"https:\u002F\u002Fgisthost.github.io\u002F?ae53e3461ffdbfd0826156aacf025c7e",[33],") with reformatted code, expansions, and interactive elements—effective despite focusing slightly more on the Python harness than the core exploit.",[17,71,73],{"id":72},"production-impact-and-next-steps","Production Impact and Next Steps",[22,75,76,77,81],{},"HTML outputs transform ad-hoc queries into shareable, self-contained tools, outperforming Markdown for technical reviews or tutorials. Willison plans to experiment further for on-the-fly explanations, building on his prior HTML utilities (",[29,78,79],{"href":79,"rel":80},"https:\u002F\u002Fsimonwillison.net\u002F2025\u002FDec\u002F10\u002Fhtml-tools\u002F",[33],"). Start by appending \"Output HTML, neatly styled...\" to prompts—readers gain navigable, visual insights that Markdown can't match, accelerating understanding of code, exploits, or logic.",{"title":83,"searchDepth":84,"depth":84,"links":85},"",2,[86,87,88],{"id":19,"depth":84,"text":20},{"id":37,"depth":84,"text":38},{"id":72,"depth":84,"text":73},[],null,"md",false,{"content_references":94,"triage":111},[95,101,105,108],{"type":96,"title":97,"author":98,"url":99,"context":100},"other","Using Claude Code: The Unreasonable Effectiveness of HTML","Thariq Shihipar","https:\u002F\u002Ftwitter.com\u002Ftrq212\u002Fstatus\u002F2052809885763747935","cited",{"type":102,"title":103,"url":31,"context":104},"tool","html-effectiveness examples","mentioned",{"type":96,"title":106,"url":107,"context":104},"copy.fail","https:\u002F\u002Fcopy.fail\u002F",{"type":96,"title":109,"author":110,"url":79,"context":104},"Useful patterns for building HTML tools","Simon Willison",{"relevance":112,"novelty":113,"quality":113,"actionability":112,"composite":114,"reasoning":115},5,4,4.55,"Category: AI & LLMs. The article provides a practical comparison of HTML and Markdown for LLM outputs, addressing a specific pain point for developers looking to enhance their AI-generated content. It includes actionable prompts that readers can directly implement to improve their outputs.",true,"\u002Fsummaries\u002F9a0e66bbe97849fd-html-beats-markdown-for-llm-outputs-summary","2026-05-09 15:37:27",{"title":5,"description":83},{"loc":117},"9a0e66bbe97849fd","Simon Willison's Weblog","article","https:\u002F\u002Fsimonwillison.net\u002F2026\u002FMay\u002F8\u002Funreasonable-effectiveness-of-html\u002F#atom-everything","summaries\u002F9a0e66bbe97849fd-html-beats-markdown-for-llm-outputs-summary",[127,128,129],"llm","prompt-engineering","generative-ai","Request HTML from LLMs like Claude instead of Markdown to generate interactive SVGs, widgets, and navigable explanations—token limits no longer justify Markdown's efficiency.",[129],"2BIv8w7FGYqt4FrKj0paIbVoJr_P0r3cRGlNWnkzTac",[134,137,140,142,145,147,150,153,155,157,159,161,164,166,168,170,172,175,177,179,181,183,186,189,191,193,195,197,199,201,203,205,207,209,211,213,215,217,219,221,223,225,227,229,231,233,235,238,240,242,244,246,248,250,252,254,256,258,260,262,264,267,269,271,273,275,277,279,281,283,285,287,289,291,293,295,297,299,301,303,305,308,310,312,314,316,318,320,322,324,326,328,330,332,334,337,339,341,343,345,347,349,351,353,355,357,359,361,363,365,367,369,371,373,375,377,379,381,383,385,387,389,391,393,395,397,399,402,404,406,408,410,412,414,416,418,420,422,425,427,429,431,433,435,437,439,441,443,445,447,449,451,453,455,458,460,462,464,466,468,470,472,474,476,478,481,483,485,487,489,491,493,495,497,499,501,503,505,507,509,511,513,515,517,519,521,523,525,527,529,531,533,535,537,539,542,544,546,549,551,553,555,557,559,561,563,565,567,569,571,573,575,577,579,581,583,585,588,590,592,594,596,598,600,602,604,606,608,610,612,615,617,619,621,623,625,627,629,631,633,635,637,639,641,643,645,647,649,651,653,655,657,659,661,663,665,667,669,671,673,675,677,679,681,683,685,687,689,691,693,695,697,699,701,703,705,707,709,711,713,715,717,719,721,723,725,727,729,731,733,735,737,739,741,743,745,747,749,751,753,755,757,759,761,763,765,767,769,771,773,775,777,779,781,783,785,787,789,791,793,795,797,799,801,803,805,807,809,811,813,815,817,819,821,823,825,827,829,831,833,835,837,839,841,843,845,847,849,851,853,855,857,859,861,863,865,867,869,871,873,875,877,879,881,883,885,887,889,891,893,895,897,899,902,904,906,908,910,913,915,917,919,921,923,925,927,929,931,933,935,937,940,942,944,946,948,950,952,954,956,958,960,962,964,966,968,970,972,974,976,978,980,982,984,986,988,990,992,994,996,998,1000,1002,1004,1006,1008,1010,1012,1014,1016,1018,1020,1022,1024,1026,1028,1030,1032,1034,1036,1038,1040,1042,1044,1046,1048,1050,1052,1054,1056,1058,1060,1062,1064,1066,1068,1070,1072,1074,1076,1078,1080,1082,1084,1086,1088,1090,1092,1094,1096,1098,1100,1102,1104,1106,1108,1110,1112,1114,1116,1118,1120,1122,1124,1126,1128,1130,1132,1134,1136,1138,1140,1142,1144,1146,1148,1150,1152,1154,1156,1158,1160,1162,1164,1166,1168,1170,1172,1174,1176,1178,1180,1182,1184,1186,1188,1190,1192,1194,1196,1198,1200,1202,1204,1206,1208,1210,1212,1214,1216,1218,1220,1222,1224,1226,1228,1230,1232,1234,1236,1238,1240,1242,1244,1246,1248,1250,1252,1254,1256,1258,1260,1262,1265,1267,1269,1271,1273,1275,1277,1279,1281,1283,1285,1287,1289,1291,1293,1295,1297,1299,1301,1303,1305,1307,1309,1311,1313,1315,1317,1319,1321,1323,1325,1327,1329,1331,1333,1335,1337,1339,1341,1343,1345,1347,1349,1351,1353,1355,1357,1359,1361,1363,1365,1367,1369,1371,1373,1375,1377,1379,1381,1383,1385,1387,1389,1391,1393,1395,1397,1399,1401,1403,1405,1407,1409,1411,1413,1415,1417,1419,1421,1423,1425,1427,1429,1431,1433,1435,1437,1439,1441,1443,1445,1447,1449,1451,1453,1455,1457,1459,1461,1463,1466,1468,1470,1472,1474,1476,1478,1480,1482,1484,1486,1488,1490,1492,1494,1496,1498,1500,1502,1504,1506,1508,1510,1512,1514,1516,1518,1520,1522,1524,1526,1528,1530,1532,1534,1536,1538,1540,1542,1544,1546,1548,1550,1552,1554,1556,1558,1560,1562,1564,1566,1568,1570,1572,1574,1576,1578,1580,1582,1584,1586,1588,1590,1592,1594,1596,1598,1600,1602,1604,1607,1609,1611,1613,1615,1617,1619,1621,1623,1625,1627,1629,1631,1633,1635,1637,1639,1641,1643,1645,1647,1649,1651,1653,1655,1657,1659,1661,1663,1665,1667,1669,1671,1673,1675,1677,1679,1681,1683,1685,1687,1689,1691,1693,1695,1697,1699,1701,1703,1705,1707,1709,1711,1713,1715,1717,1719,1721,1723,1725,1727,1729,1731,1733,1735,1737,1739,1741,1743,1745,1747,1749,1751,1753,1755,1757,1759,1761,1763,1766,1768,1770,1772,1774,1776,1778,1780,1782,1784,1786,1788,1790,1792,1794,1796,1798,1800,1802,1804,1806,1808,1810,1812,1814,1816,1818,1820,1822,1824,1826,1829,1831,1833,1835,1837,1839,1841,1843,1845,1847,1849,1851,1853,1855,1857,1859,1861,1863,1865,1867,1869,1871,1873,1875,1877,1879,1881,1883,1885,1887,1889,1891,1893,1895,1897,1899,1901,1903,1905,1907,1909,1911,1913,1915,1917,1919,1921,1923,1925,1927,1929,1931,1933,1935,1937,1939,1941,1943,1945,1947,1949,1951,1953,1955,1957,1959,1961,1963,1965,1967,1969,1971,1973,1975,1977,1979,1981,1983,1985,1987,1989,1991,1993,1995,1997,1999,2001,2003,2005,2007,2009,2011,2013,2015,2017,2019,2021,2023,2025,2027,2029,2031,2033,2035,2037,2039,2041,2043,2045,2047,2049,2051,2053,2055,2057,2059,2061,2063,2065,2067,2069,2071,2073,2075,2077,2079,2081,2083,2085,2087,2089,2091,2093,2095,2097,2099,2101,2103,2105,2107,2109,2111,2113,2115,2117,2119,2121,2123,2125,2127,2129,2131,2133,2135,2137,2139,2141,2143,2145,2147,2149,2151,2153,2155,2157,2159,2161,2163,2165,2167,2169,2171,2173,2175,2177,2179,2181,2183,2185,2187,2189,2191,2193,2195,2197,2199,2201,2203,2205,2207,2209,2211,2213,2215,2217,2219,2221,2223,2225,2227,2229,2231,2233,2235,2237,2239,2241,2243,2245,2247,2249,2251,2253,2255,2257,2259,2261,2263,2265,2267,2269,2271,2274,2276,2278,2280,2282,2284,2286,2288,2290,2292,2294,2296,2298,2300,2302,2304,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Builders testing this report 2-3x sharper risk identification, directly improving plan survival odds in competitive AI landscapes.",{"title":83,"searchDepth":84,"depth":84,"links":7097},[7098,7099,7100],{"id":7077,"depth":84,"text":7078},{"id":7084,"depth":84,"text":7085},{"id":7091,"depth":84,"text":7092},[],{"content_references":7103,"triage":7111},[7104,7108],{"type":96,"title":7105,"author":7106,"publisher":7107,"context":100},"Pre-mortem","Klein","1989",{"type":96,"title":7105,"author":7109,"context":7110},"Kahneman","recommended",{"relevance":112,"novelty":113,"quality":113,"actionability":112,"composite":114,"reasoning":7112},"Category: AI & LLMs. The article provides a practical technique for overcoming biases in AI models, specifically Claude, which is highly relevant for AI product builders. It offers a concrete method for risk analysis that can be immediately applied to improve product planning and execution.","\u002Fsummaries\u002F7bfce2f937233fa5-pre-mortem-prompts-fix-claude-s-yes-man-bias-summary","2026-05-08 06:49:18","2026-05-09 15:36:43",{"title":7067,"description":83},{"loc":7113},"7bfce2f937233fa5","Generative AI","https:\u002F\u002Fgenerativeai.pub\u002Fthe-pre-mortem-trick-that-makes-claude-absolutely-great-630f610809d6?source=rss----440100e76000---4","summaries\u002F7bfce2f937233fa5-pre-mortem-prompts-fix-claude-s-yes-man-bias-summary",[128,127],"Claude flatters plans due to RLHF; prompt it to assume failure in 6 months and explain why to get honest risk analysis—Kahneman's top decision tool, invented by Klein in 1989.",[],"_JRWh85QpktDTwWGwKH6-1DgPKMCYLq-bnFSVrwdo-E",{"id":7127,"title":7128,"ai":7129,"body":7134,"categories":7484,"created_at":90,"date_modified":90,"description":83,"extension":91,"faq":90,"featured":92,"kicker_label":90,"meta":7485,"navigation":116,"path":7497,"published_at":7498,"question":90,"scraped_at":7499,"seo":7500,"sitemap":7501,"source_id":7502,"source_name":7503,"source_type":123,"source_url":7504,"stem":7505,"tags":7506,"thumbnail_url":90,"tldr":7507,"tweet":90,"unknown_tags":7508,"__hash__":7509},"summaries\u002Fsummaries\u002Fb0d82d6ef098f216-guarantee-llm-outputs-match-exact-taxonomies-with-summary.md","Guarantee LLM Outputs Match Exact Taxonomies with Tries",{"provider":7,"model":8,"input_tokens":7130,"output_tokens":7131,"processing_time_ms":7132,"cost_usd":7133},7679,2345,26271,0.0026858,{"type":14,"value":7135,"toc":7479},[7136,7140,7143,7150,7153,7177,7181,7184,7356,7363,7370,7445,7452,7456,7463,7466,7469,7472,7475],[17,7137,7139],{"id":7138},"logit-masking-guarantees-valid-outputs","Logit Masking Guarantees Valid Outputs",[22,7141,7142],{},"LLMs generate tokens autoregressively, producing a logit vector over 32,000-100,000 vocabulary tokens at each step, converted to probabilities via softmax. Any token with finite logit has nonzero probability, allowing hallucinations like near-miss labels (e.g., \"Techology\" instead of \"Technology\"). Standard fixes—prompt instructions, string matching, retries—fail because they act post-generation.",[22,7144,7145,7146,34],{},"Constrained decoding intervenes pre-sampling: set logits of invalid tokens to -∞, yielding exactly zero softmax probability. Remaining valid logits renormalize to sum to 1. This works for any sampling (greedy, temperature, top-p, top-k) since zero-probability tokens cannot be selected. In code: ",[7147,7148,7149],"code",{},"logits[~valid_token_mask] = float('-inf')",[22,7151,7152],{},"Validity depends on prior tokens. A trie (prefix tree) encodes all taxonomy labels as token paths. Root children are first tokens of any label; deeper nodes narrow to continuations. After prefix \" Tech\" (token ID 8987), only \"nology\" (ID 1366) is valid. At end nodes, only EOS is valid, terminating the label.",[22,7154,7155,7156,7159,7160,7163,7164,7168,7169,7172,7173,7176],{},"Tokenization nuance: BPE splits depend on context. Tokenize labels as continuations with leading space (",[7147,7157,7158],{},"\" \" + label",", ",[7147,7161,7162],{},"add_special_tokens=False","), e.g., Qwen2.5 tokenizes \" Sports\" to ",[7165,7166,7167],"span",{},"22470",", not \"Sports\" to ",[7165,7170,7171],{},"51660",". Verify round-trip: ",[7147,7174,7175],{},"tokenizer.decode(token_ids) == \" \" + label",". Tiktoken (GPT-4 family) bakes whitespace into boundaries without ▁.",[17,7178,7180],{"id":7179},"trie-and-logits-processor-implementation","Trie and Logits Processor Implementation",[22,7182,7183],{},"Build trie from labels:",[7185,7186,7190],"pre",{"className":7187,"code":7188,"language":7189,"meta":83,"style":83},"language-python shiki shiki-themes github-light github-dark","class TrieNode:\n    def __init__(self):\n        self.children = {}  # token_id → TrieNode\n        self.is_end = False\n\nclass ConstrainedTrie:\n    def __init__(self):\n        self.root = TrieNode()\n    def insert(self, token_ids):\n        node = self.root\n        for tid in token_ids:\n            if tid not in node.children:\n                node.children[tid] = TrieNode()\n            node = node.children[tid]\n        node.is_end = True\n    def get_valid_next_tokens(self, prefix):\n        node = self.root\n        for tid in prefix:\n            if tid not in node.children:\n                return set()\n            node = node.children[tid]\n        return set(node.children.keys())\n    def is_complete(self, prefix):\n        node = self.root\n        for tid in prefix:\n            if tid not in node.children:\n                return False\n            node = node.children[tid]\n        return node.is_end\n","python",[7147,7191,7192,7199,7204,7210,7215,7220,7226,7231,7237,7243,7249,7255,7261,7267,7273,7279,7285,7290,7296,7301,7307,7312,7318,7324,7329,7334,7339,7345,7350],{"__ignoreMap":83},[7165,7193,7196],{"class":7194,"line":7195},"line",1,[7165,7197,7198],{},"class TrieNode:\n",[7165,7200,7201],{"class":7194,"line":84},[7165,7202,7203],{},"    def __init__(self):\n",[7165,7205,7207],{"class":7194,"line":7206},3,[7165,7208,7209],{},"        self.children = {}  # token_id → TrieNode\n",[7165,7211,7212],{"class":7194,"line":113},[7165,7213,7214],{},"        self.is_end = False\n",[7165,7216,7217],{"class":7194,"line":112},[7165,7218,7219],{"emptyLinePlaceholder":116},"\n",[7165,7221,7223],{"class":7194,"line":7222},6,[7165,7224,7225],{},"class ConstrainedTrie:\n",[7165,7227,7229],{"class":7194,"line":7228},7,[7165,7230,7203],{},[7165,7232,7234],{"class":7194,"line":7233},8,[7165,7235,7236],{},"        self.root = TrieNode()\n",[7165,7238,7240],{"class":7194,"line":7239},9,[7165,7241,7242],{},"    def insert(self, token_ids):\n",[7165,7244,7246],{"class":7194,"line":7245},10,[7165,7247,7248],{},"        node = self.root\n",[7165,7250,7252],{"class":7194,"line":7251},11,[7165,7253,7254],{},"        for tid in token_ids:\n",[7165,7256,7258],{"class":7194,"line":7257},12,[7165,7259,7260],{},"            if tid not in node.children:\n",[7165,7262,7264],{"class":7194,"line":7263},13,[7165,7265,7266],{},"                node.children[tid] = TrieNode()\n",[7165,7268,7270],{"class":7194,"line":7269},14,[7165,7271,7272],{},"            node = node.children[tid]\n",[7165,7274,7276],{"class":7194,"line":7275},15,[7165,7277,7278],{},"        node.is_end = True\n",[7165,7280,7282],{"class":7194,"line":7281},16,[7165,7283,7284],{},"    def get_valid_next_tokens(self, prefix):\n",[7165,7286,7288],{"class":7194,"line":7287},17,[7165,7289,7248],{},[7165,7291,7293],{"class":7194,"line":7292},18,[7165,7294,7295],{},"        for tid in prefix:\n",[7165,7297,7299],{"class":7194,"line":7298},19,[7165,7300,7260],{},[7165,7302,7304],{"class":7194,"line":7303},20,[7165,7305,7306],{},"                return set()\n",[7165,7308,7310],{"class":7194,"line":7309},21,[7165,7311,7272],{},[7165,7313,7315],{"class":7194,"line":7314},22,[7165,7316,7317],{},"        return set(node.children.keys())\n",[7165,7319,7321],{"class":7194,"line":7320},23,[7165,7322,7323],{},"    def is_complete(self, prefix):\n",[7165,7325,7327],{"class":7194,"line":7326},24,[7165,7328,7248],{},[7165,7330,7332],{"class":7194,"line":7331},25,[7165,7333,7295],{},[7165,7335,7337],{"class":7194,"line":7336},26,[7165,7338,7260],{},[7165,7340,7342],{"class":7194,"line":7341},27,[7165,7343,7344],{},"                return False\n",[7165,7346,7348],{"class":7194,"line":7347},28,[7165,7349,7272],{},[7165,7351,7353],{"class":7194,"line":7352},29,[7165,7354,7355],{},"        return node.is_end\n",[22,7357,7358,7359,7362],{},"Insert: ",[7147,7360,7361],{},"token_ids = tokenizer.encode(\" \" + label, add_special_tokens=False); trie.insert(token_ids)",". Rebuild on taxonomy changes (milliseconds for hundreds-thousands labels).",[22,7364,7365,7366,7369],{},"HuggingFace ",[7147,7367,7368],{},"LogitsProcessor",":",[7185,7371,7373],{"className":7187,"code":7372,"language":7189,"meta":83,"style":83},"class TrieLogitsProcessor(LogitsProcessor):\n    def __init__(self, trie, prompt_length, eos_token_id):\n        self.trie = trie\n        self.prompt_length = prompt_length\n        self.eos = eos_token_id\n    def __call__(self, input_ids, scores):\n        generated = input_ids[0, self.prompt_length:].tolist()\n        valid = self.trie.get_valid_next_tokens(generated)\n        if self.trie.is_complete(generated):\n            valid.add(self.eos)\n        masked = torch.full_like(scores, float('-inf'))\n        for tid in valid:\n            masked[0, tid] = scores[0, tid]\n        return masked\n",[7147,7374,7375,7380,7385,7390,7395,7400,7405,7410,7415,7420,7425,7430,7435,7440],{"__ignoreMap":83},[7165,7376,7377],{"class":7194,"line":7195},[7165,7378,7379],{},"class TrieLogitsProcessor(LogitsProcessor):\n",[7165,7381,7382],{"class":7194,"line":84},[7165,7383,7384],{},"    def __init__(self, trie, prompt_length, eos_token_id):\n",[7165,7386,7387],{"class":7194,"line":7206},[7165,7388,7389],{},"        self.trie = trie\n",[7165,7391,7392],{"class":7194,"line":113},[7165,7393,7394],{},"        self.prompt_length = prompt_length\n",[7165,7396,7397],{"class":7194,"line":112},[7165,7398,7399],{},"        self.eos = eos_token_id\n",[7165,7401,7402],{"class":7194,"line":7222},[7165,7403,7404],{},"    def __call__(self, input_ids, scores):\n",[7165,7406,7407],{"class":7194,"line":7228},[7165,7408,7409],{},"        generated = input_ids[0, self.prompt_length:].tolist()\n",[7165,7411,7412],{"class":7194,"line":7233},[7165,7413,7414],{},"        valid = self.trie.get_valid_next_tokens(generated)\n",[7165,7416,7417],{"class":7194,"line":7239},[7165,7418,7419],{},"        if self.trie.is_complete(generated):\n",[7165,7421,7422],{"class":7194,"line":7245},[7165,7423,7424],{},"            valid.add(self.eos)\n",[7165,7426,7427],{"class":7194,"line":7251},[7165,7428,7429],{},"        masked = torch.full_like(scores, float('-inf'))\n",[7165,7431,7432],{"class":7194,"line":7257},[7165,7433,7434],{},"        for tid in valid:\n",[7165,7436,7437],{"class":7194,"line":7263},[7165,7438,7439],{},"            masked[0, tid] = scores[0, tid]\n",[7165,7441,7442],{"class":7194,"line":7269},[7165,7443,7444],{},"        return masked\n",[22,7446,7447,7448,7451],{},"Generate: ",[7147,7449,7450],{},"model.generate(input_ids, logits_processor=LogitsProcessorList([processor]), max_new_tokens=16)",". Output decodes to exact label.",[17,7453,7455],{"id":7454},"multi-label-hierarchies-and-broader-applications","Multi-Label, Hierarchies, and Broader Applications",[22,7457,7458,7459,7462],{},"For multi-label: After end node, allow EOS or separator (e.g., ",[7147,7460,7461],{},"|,|","). Parse generated tokens into seen labels and current prefix. At root, exclude first tokens only after all labels sharing it are emitted (precompute groups by first token). Supports hierarchies: insert full paths like \"Technology > AI > NLP\"; shared prefixes compress naturally.",[22,7464,7465],{},"Edge cases: Low confidence concentrates mass on valid tokens (fix: fine-tune); long labels create narrow paths (fine-tune improves); rebuild trie on changes.",[22,7467,7468],{},"Proof of correctness: (1) Forward invariant—emitted tokens always extend valid prefixes; (2) Termination invariant—EOS only at end nodes. Verify by enumerating trie paths against labels. Independent of model, temperature, etc.",[22,7470,7471],{},"Limitations: Needs logit access (open models like Qwen2.5, not OpenAI APIs); masking redistributes probability (structurally correct but semantically wrong possible); no accuracy boost—pair with fine-tuning.",[22,7473,7474],{},"Generalizes to JSON (trie encodes schema), SQL (grammar FSM), agents (tool names). Enforces structure without prompt\u002Fmodel changes.",[7476,7477,7478],"style",{},"html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":83,"searchDepth":84,"depth":84,"links":7480},[7481,7482,7483],{"id":7138,"depth":84,"text":7139},{"id":7179,"depth":84,"text":7180},{"id":7454,"depth":84,"text":7455},[136],{"content_references":7486,"triage":7494},[7487,7490],{"type":102,"title":7488,"url":7489,"context":7110},"constrained-decoding","https:\u002F\u002Fgithub.com\u002FSachinKalsi\u002Fconstrained-decoding",{"type":96,"title":7491,"author":7492,"url":7493,"context":100},"Why do we use negative infinity for masking in attention","Sachin Kalsi","https:\u002F\u002Fmedium.com\u002F@sachinkalsi\u002Fwhy-do-we-use-negative-infinity-for-masking-in-attention-450c59274ac8",{"relevance":112,"novelty":113,"quality":113,"actionability":113,"composite":7495,"reasoning":7496},4.35,"Category: AI & LLMs. The article provides a detailed method for constraining LLM outputs to match specific taxonomies, addressing a key pain point for developers integrating AI features. It includes practical code examples and a clear explanation of the trie data structure, making it actionable for the audience.","\u002Fsummaries\u002Fb0d82d6ef098f216-guarantee-llm-outputs-match-exact-taxonomies-with-summary","2026-05-07 04:37:46","2026-05-07 11:23:51",{"title":7128,"description":83},{"loc":7497},"b0d82d6ef098f216","Towards AI","https:\u002F\u002Fpub.towardsai.net\u002Fconstrained-decoding-forcing-llms-to-respect-your-taxonomy-3aaaf13329f9?source=rss----98111c9905da---4","summaries\u002Fb0d82d6ef098f216-guarantee-llm-outputs-match-exact-taxonomies-with-summary",[127,128],"Constrain LLM generation by masking invalid logits to -∞ using a trie of tokenized labels, ensuring outputs are always exact taxonomy matches regardless of sampling method.",[],"6YzRwDPXGZWHwTgO9AHfljbfk9HPE6JBlVHdAz62J8Q",{"id":7511,"title":7512,"ai":7513,"body":7518,"categories":7570,"created_at":90,"date_modified":90,"description":83,"extension":91,"faq":90,"featured":92,"kicker_label":90,"meta":7571,"navigation":116,"path":7572,"published_at":7573,"question":90,"scraped_at":90,"seo":7574,"sitemap":7575,"source_id":7576,"source_name":7577,"source_type":123,"source_url":7578,"stem":7579,"tags":7580,"thumbnail_url":90,"tldr":7581,"tweet":90,"unknown_tags":7582,"__hash__":7583},"summaries\u002Fsummaries\u002F7-prompts-to-stop-ai-sycophancy-summary.md","7 Prompts to Stop AI Sycophancy",{"provider":7,"model":8,"input_tokens":7514,"output_tokens":7515,"processing_time_ms":7516,"cost_usd":7517},5920,1314,11672,0.0013667,{"type":14,"value":7519,"toc":7565},[7520,7524,7527,7530,7534,7537,7540,7543,7546,7549,7553,7556,7559,7562],[17,7521,7523],{"id":7522},"sycophancy-stems-from-rlhf-human-biases","Sycophancy Stems from RLHF Human Biases",[22,7525,7526],{},"Large language models become overly agreeable because reinforcement learning from human feedback (RLHF) rewards responses aligning with users' preexisting views. Humans rate flattering outputs higher, so models learn to prioritize agreement over truth. This led OpenAI to rollback a GPT-4o update that amplified insincere support. Labs like Anthropic, Google (Gemini 3), and OpenAI acknowledge the issue and are addressing it, but prompts offer immediate fixes.",[22,7528,7529],{},"Impact: Without intervention, AI provides unhelpful praise instead of constructive challenges, wasting time on flawed ideas.",[17,7531,7533],{"id":7532},"rephrase-prompts-to-demand-risks-and-specificity","Rephrase Prompts to Demand Risks and Specificity",[22,7535,7536],{},"Shift from open \"What do you think?\" to targeted criticism requests. For a premium dog-walking service, ask \"What are the biggest risks and reasons this might fail?\" instead of general opinions—this pulls brakes on blind acceptance.",[22,7538,7539],{},"Force ratings for grounded feedback: Rate a poem (\"Roses are red. Bad people are bad. So be good. As you well should.\") out of 10 with reasoning, preventing vague praise.",[22,7541,7542],{},"Present multiple options to trigger comparisons: Evaluate podcast names like \"Who’s Awake?\", \"Wake Up Call\", \"Coffee First\" to enter pros\u002Fcons mode.",[22,7544,7545],{},"Ask neutrally before sharing your view: \"Should I name my bakery ‘The Bread Place’?\" avoids anchoring bias from statements like \"I’m proud of ‘The Bread Place’ for its simplicity.\"",[22,7547,7548],{},"Impact: These elicit balanced analysis, exposing weaknesses early—e.g., AI flags poor slogans like \"Coffee and other things\" more harshly when not tied to your ego.",[17,7550,7552],{"id":7551},"control-context-and-adopt-critical-personas","Control Context and Adopt Critical Personas",[22,7554,7555],{},"Start fresh chats or use incognito\u002Ftemporary modes (ChatGPT, Claude, Gemini) to avoid history priming agreement via memory features.",[22,7557,7558],{},"Frame ideas as others': Critique \"Some guy came up with ‘Coffee and other things’\" gets blunt feedback versus your own idea.",[22,7560,7561],{},"Assign critical personas: \"You're Gordon Ramsay\" judging bacon in spaghetti bolognese enables sharp pushback without default politeness.",[22,7563,7564],{},"Impact: Removes personal flattery incentives, delivering honest critiques—e.g., harsher on third-party work, or Ramsay-style roasts that reveal real flaws.",{"title":83,"searchDepth":84,"depth":84,"links":7566},[7567,7568,7569],{"id":7522,"depth":84,"text":7523},{"id":7532,"depth":84,"text":7533},{"id":7551,"depth":84,"text":7552},[],{},"\u002Fsummaries\u002F7-prompts-to-stop-ai-sycophancy-summary","2026-04-08 21:21:17",{"title":7512,"description":83},{"loc":7572},"ee586f533efa4843","Why Try AI","https:\u002F\u002Funknown","summaries\u002F7-prompts-to-stop-ai-sycophancy-summary",[128,127],"LLMs flatter due to RLHF training on humans preferring agreement—fix it now with 7 prompt tweaks that force criticism, like asking for risks or using critical personas.",[],"pg57uKDepeqLco9GtYdJpcW5qXJkW_5aj54XuYflppg",{"id":7585,"title":7586,"ai":7587,"body":7592,"categories":7620,"created_at":90,"date_modified":90,"description":83,"extension":91,"faq":90,"featured":92,"kicker_label":90,"meta":7621,"navigation":116,"path":7622,"published_at":7573,"question":90,"scraped_at":90,"seo":7623,"sitemap":7624,"source_id":7625,"source_name":7119,"source_type":123,"source_url":7578,"stem":7626,"tags":7627,"thumbnail_url":90,"tldr":7628,"tweet":90,"unknown_tags":7629,"__hash__":7630},"summaries\u002Fsummaries\u002Fllm-context-more-tokens-worse-results-summary.md","LLM Context: More Tokens, Worse Results",{"provider":7,"model":8,"input_tokens":7588,"output_tokens":7589,"processing_time_ms":7590,"cost_usd":7591},5638,1120,9858,0.0016651,{"type":14,"value":7593,"toc":7615},[7594,7598,7601,7605,7608,7612],[17,7595,7597],{"id":7596},"positional-bias-buries-middle-context","Positional Bias Buries Middle Context",[22,7599,7600],{},"LLMs exhibit a U-shaped performance curve: accuracy peaks when relevant info sits at the prompt's start or end, but drops sharply in the middle. Stanford's 2023 study (Lost in the Middle) hid answers across documents; models like those optimized for long contexts still faltered mid-prompt. This persists even pre-training—University of Rochester's 2026 analysis of initialized Qwen2 and GPT-2 showed innate token influence favoring edges, like a desk where top\u002Fbottom papers are visible but the stack's core blurs. Trade-off: long contexts enable complex tasks but risk hiding critical data unless positioned deliberately.",[17,7602,7604],{"id":7603},"distance-and-noise-accelerate-context-rot","Distance and Noise Accelerate 'Context Rot'",[22,7606,7607],{},"Pure length hurts, even without distractions. University of Washington\u002FAmazon's 2025 experiment padded short prompts with whitespace or masked irrelevant tokens—increasing distance alone cut accuracy 7-48%. Llama dropped ~50% on variable-tracking; Mistral lost ~30% on arithmetic. KAIST's 2026 NoisyBench added realistic noise (irrelevant search results, chat history, plausible fakes): reasoning models lost up to 80%, with longer chain-of-thought amplifying errors as each step latches onto distractions. Chroma\u002FAnthropic formalized this as 'context rot'—tokens as a depleting budget where extras yield diminishing returns, turning context from asset to liability.",[17,7609,7611],{"id":7610},"optimize-by-trimming-and-repositioning","Optimize by Trimming and Repositioning",[22,7613,7614],{},"Treat context as finite desk space: excise irrelevancies like old emails\u002Fboilerplate—they actively degrade, not idle. Rules: (1) Start with key docs, end with query\u002Finstruction. (2) New tasks? Fresh chats to shed history. (3) Restate essentials pre-answer—shifts them to the privileged end position, mimicking targeted duplication for reliability. Rewriting bloated prompts (e.g., full threads + briefs) to essentials boosts precision without new models. Outcome: reproducible gains on production tasks, sidestepping architecture limits until better optics emerge.",{"title":83,"searchDepth":84,"depth":84,"links":7616},[7617,7618,7619],{"id":7596,"depth":84,"text":7597},{"id":7603,"depth":84,"text":7604},{"id":7610,"depth":84,"text":7611},[],{},"\u002Fsummaries\u002Fllm-context-more-tokens-worse-results-summary",{"title":7586,"description":83},{"loc":7622},"3b298d623b50467f","summaries\u002Fllm-context-more-tokens-worse-results-summary",[127,128],"LLMs degrade systematically with longer contexts due to positional bias favoring start\u002Fend, noise amplification, and inherent architecture—cut irrelevant info, place essentials at edges, restate keys for 7-50% accuracy gains.",[],"VXocEDOOq-Yx_tjJWbmDgLAE9xdLqiYkxmtIMsqP9tg"]