[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-3686b7612b8de7b2-the-rise-of-meta-harnesses-and-vertical-ai-integra-summary":3,"summaries-facets-categories":129,"summary-related-3686b7612b8de7b2-the-rise-of-meta-harnesses-and-vertical-ai-integra-summary":7033},{"id":4,"title":5,"ai":6,"body":13,"categories":85,"created_at":87,"date_modified":87,"description":78,"extension":88,"faq":87,"featured":89,"kicker_label":87,"meta":90,"navigation":111,"path":112,"published_at":113,"question":87,"scraped_at":113,"seo":114,"sitemap":115,"source_id":116,"source_name":117,"source_type":118,"source_url":119,"stem":120,"tags":121,"thumbnail_url":87,"tldr":126,"tweet":87,"unknown_tags":127,"__hash__":128},"summaries\u002Fsummaries\u002F3686b7612b8de7b2-the-rise-of-meta-harnesses-and-vertical-ai-integra-summary.md","The Rise of Meta-Harnesses and Vertical AI Integration",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",8145,812,4399,0.00325425,{"type":14,"value":15,"toc":77},"minimark",[16,21,25,29,32,49,53,56,70,74],[17,18,20],"h2",{"id":19},"the-emergence-of-meta-harnesses","The Emergence of Meta-Harnesses",[22,23,24],"p",{},"An architectural pattern is consolidating across the industry: the \"meta-harness.\" These systems provide a pluggable, secure, and standardized interface for managing diverse agents. Projects like Omnigent, OpenInspect, and Vercel’s HarnessAgent represent a move to treat agents as organizational coworkers rather than isolated chat bots. The core value proposition is to provide a unified layer for identity, permissions, and auditability, preventing the fragmentation that occurs when teams deploy disparate agentic workflows.",[17,26,28],{"id":27},"vertical-integration-and-inference-infrastructure","Vertical Integration and Inference Infrastructure",[22,30,31],{},"Frontier labs are increasingly treating hardware as a core product component rather than a commodity. OpenAI’s \"Jalapeño\" chip launch signals a strategic shift to own the full stack—from custom silicon to scheduling and deployment—to optimize performance-per-watt and reduce reliance on merchant GPU supply. This trend is mirrored by the broader ecosystem:",[33,34,35,43],"ul",{},[36,37,38,42],"li",{},[39,40,41],"strong",{},"Compiler\u002FRuntime Shifts:"," Qualcomm’s acquisition of Modular suggests a push for vertically integrated inference stacks that compete with CUDA.",[36,44,45,48],{},[39,46,47],{},"Throughput Optimization:"," Techniques like Expert Parallelism (NVIDIA NeMo) and custom draft\u002Fspeculator models (DFLASH) are delivering significant real-world decode gains (30–50%).",[17,50,52],{"id":51},"agent-ux-and-memory-as-a-systems-layer","Agent UX and Memory as a Systems Layer",[22,54,55],{},"Agent design is moving away from standalone chat interfaces toward embedded team workflows, such as Claude’s integration into Slack. This transition introduces critical engineering challenges regarding identity and security.",[33,57,58,64],{},[36,59,60,63],{},[39,61,62],{},"Identity & Security:"," Anthropic’s model assigns agents their own credentials, allowing for auditable actions. However, experts argue that capability-based security with fine-grained, task-scoped access is necessary for scaling.",[36,65,66,69],{},[39,67,68],{},"Memory Architecture:"," Memory is evolving from a simple context-dump into a complex data-management layer. Emerging patterns include asynchronous \"sleep-time compute\" where traces are analyzed offline and consolidated into structured memory, moving beyond the limitations of simple RAG.",[17,71,73],{"id":72},"the-competitive-landscape-of-open-models","The Competitive Landscape of Open Models",[22,75,76],{},"Chinese open-weight models, specifically GLM-5.2, are consistently matching or exceeding frontier performance in coding and agentic tasks while remaining significantly cheaper. The gap is closing not just through model architecture, but through massive compute scaling (e.g., reports of Huawei’s 950 SuperPOD) and sophisticated training pipelines like OpenThoughts-Agent, which emphasizes that instruction diversity and execution trace quality are the primary drivers of agentic benchmark performance.",{"title":78,"searchDepth":79,"depth":79,"links":80},"",2,[81,82,83,84],{"id":19,"depth":79,"text":20},{"id":27,"depth":79,"text":28},{"id":51,"depth":79,"text":52},{"id":72,"depth":79,"text":73},[86],"Agents & Orchestration",null,"md",false,{"content_references":91,"triage":105},[92,96,99,101,103],{"type":93,"title":94,"context":95},"tool","Omnigent","recommended",{"type":93,"title":97,"context":98},"Jalapeño","mentioned",{"type":93,"title":100,"context":98},"Qwen-AgentWorld",{"type":93,"title":102,"context":98},"OpenThoughts-Agent",{"type":93,"title":104,"context":98},"GLM-5.2",{"relevance":106,"novelty":107,"quality":107,"actionability":108,"composite":109,"reasoning":110},5,4,3,4.15,"Category: Agents & Orchestration. The article discusses the emerging architectural pattern of 'meta-harnesses' for agent orchestration, which directly addresses the audience's need for reliable frameworks in production AI systems. It provides insights into new trends in agent integration and inference infrastructure, though it lacks specific actionable steps for implementation.",true,"\u002Fsummaries\u002F3686b7612b8de7b2-the-rise-of-meta-harnesses-and-vertical-ai-integra-summary","2026-06-29 14:32:24",{"title":5,"description":78},{"loc":112},"3686b7612b8de7b2","Latent Space (Newsletter)","article","https:\u002F\u002Fwww.latent.space\u002Fp\u002Fainews-its-meta-harness-summer","summaries\u002F3686b7612b8de7b2-the-rise-of-meta-harnesses-and-vertical-ai-integra-summary",[122,123,124,125],"agents","inference","mlops","models","The AI industry is shifting toward 'meta-harnesses'—standardized agent orchestration layers—while frontier labs move toward vertical integration of custom silicon and agent-native 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By controlling the entire stack—from the silicon architecture to the software layer—companies can unlock performance efficiencies that are difficult to achieve with off-the-shelf hardware.",[17,7072,7074],{"id":7073},"the-industry-outlook","The Industry Outlook",[22,7076,7077],{},"This trend does not necessarily signal the end of Nvidia’s market dominance, but it does mark the beginning of a more fragmented and specialized hardware landscape. As AI-native companies scale, the cost-to-performance ratio of custom hardware becomes increasingly attractive compared to the high premiums of general-purpose enterprise GPUs. The move toward custom silicon is less about a complete departure from existing providers and more about gaining the architectural autonomy required to run massive-scale AI systems efficiently.",{"title":78,"searchDepth":79,"depth":79,"links":7079},[7080,7081],{"id":7046,"depth":79,"text":7047},{"id":7073,"depth":79,"text":7074},[170],{"content_references":7084,"triage":7094},[7085,7091],{"type":7086,"title":7087,"author":7088,"publisher":7089,"url":7090,"context":98},"podcast","Equity","Kirsten Korosec, Anthony Ha, and Sean O’Kane","TechCrunch","https:\u002F\u002Ftechcrunch.com\u002Fpodcasts\u002Fequity\u002F",{"type":93,"title":97,"author":7092,"url":7093,"context":98},"OpenAI","https:\u002F\u002Ftechcrunch.com\u002F2026\u002F06\u002F24\u002Fopenai-unveils-its-first-custom-chip-built-by-broadcom\u002F",{"relevance":107,"novelty":108,"quality":107,"actionability":108,"composite":7095,"reasoning":7096},3.6,"Category: MLOps & Infrastructure. The article discusses the strategic shift toward custom AI silicon, which directly relates to optimizing hardware for AI workloads, a key concern for engineers building production systems. It provides insights into the rationale behind this trend, but lacks specific actionable steps for implementation.","\u002Fsummaries\u002F22860fcb0315498a-the-strategic-shift-toward-custom-ai-silicon-summary","2026-06-26 17:43:22","2026-06-29 14:33:27",{"title":7036,"description":78},{"loc":7097},"22860fcb0315498a","TechCrunch — AI","https:\u002F\u002Ftechcrunch.com\u002Fvideo\u002Fwhy-everyone-from-openai-to-spacex-is-building-their-own-chips-and-turning-up-the-heat-on-nvidia\u002F","summaries\u002F22860fcb0315498a-the-strategic-shift-toward-custom-ai-silicon-summary",[123,125,124],"Major tech players are developing custom chips to mitigate single-supplier risk, optimize hardware for specific workloads, and achieve performance gains similar to Apple's transition away from Intel.",[],"4pL_APXMgPvpe4IASsqgx2E66MeecV8o-rwvCjYc6ho",{"id":7111,"title":7112,"ai":7113,"body":7118,"categories":7152,"created_at":87,"date_modified":87,"description":78,"extension":88,"faq":87,"featured":89,"kicker_label":87,"meta":7153,"navigation":111,"path":7170,"published_at":113,"question":87,"scraped_at":113,"seo":7171,"sitemap":7172,"source_id":7173,"source_name":117,"source_type":118,"source_url":7174,"stem":7175,"tags":7176,"thumbnail_url":87,"tldr":7178,"tweet":87,"unknown_tags":7179,"__hash__":7180},"summaries\u002Fsummaries\u002F1e0d2465783ff443-spacex-s-neocloud-and-the-rise-of-owned-intelligen-summary.md","SpaceX's Neocloud and the Rise of Owned Intelligence",{"provider":7,"model":8,"input_tokens":7114,"output_tokens":7115,"processing_time_ms":7116,"cost_usd":7117},10460,964,5442,0.004061,{"type":14,"value":7119,"toc":7147},[7120,7124,7127,7131,7134,7137,7141,7144],[17,7121,7123],{"id":7122},"the-emergence-of-spacex-as-a-neocloud","The Emergence of SpaceX as a 'Neocloud'",[22,7125,7126],{},"SpaceX has rapidly scaled into a major compute provider, securing massive GPU rental agreements that position it as a critical infrastructure layer. Recent reports indicate a $6.3 billion deal with Reflection AI for GB300 access, following similar large-scale contracts with Anthropic and Google. These deals, totaling approximately $2.32 billion per month, annualize to $28 billion in revenue—roughly double the current revenue of Coreweave. This 'neocloud' model, characterized by high-density Blackwell deployments and significant compute leasing, suggests that GPU brokerage is becoming a strategic market that bridges the gap between hardware supply and frontier model builders.",[17,7128,7130],{"id":7129},"the-shift-toward-owned-intelligence","The Shift Toward 'Owned Intelligence'",[22,7132,7133],{},"There is a clear trend among enterprise application builders—such as Cursor, Notion, and Harvey—to move away from pure API reliance toward 'owned intelligence.' This involves running open-weight or specialized models that companies can post-train on their own data and evals. Baseten’s recent $1.5B Series F funding highlights this shift, as enterprises seek to retain control over their model stack to ensure reliability and continual learning.",[22,7135,7136],{},"GLM-5.2 has emerged as the leading open-weight model for these agentic workflows. Benchmarks and real-world harnesses (such as those performed in the Cline repository) show it is competitive with proprietary frontier models. While it may be slower and more tool-call-heavy than closed alternatives, it offers significant cost advantages ($0.41 vs $0.81 in specific bug-fixing tasks) and robust verification capabilities. The ecosystem has responded with high-velocity adoption, integrating GLM-5.2 into AWS Marketplace, Baseten, and various agentic frameworks.",[17,7138,7140],{"id":7139},"evolving-agentic-infrastructure","Evolving Agentic Infrastructure",[22,7142,7143],{},"Agent engineering is moving beyond simple chat interfaces toward stateful, tool-rich, long-running workflows. Google’s promotion of the 'Interactions API' as the default for Gemini agents reflects this, offering background async execution and remote sandboxing (Antigravity). Simultaneously, the developer community is standardizing around agent communication protocols and harness ergonomics, as seen in the growth of projects like Hermes.",[22,7145,7146],{},"However, this shift has exposed weaknesses in current evaluation methodologies. Audit data across 21 judges and 541K judgments indicates that 'exact-match' agreement significantly overstates judge quality; using metrics like Cohen’s kappa reveals much lower agreement. The industry is increasingly recognizing that evaluating agents requires testing system behavior under tools, memory, and long-horizon execution, rather than relying on static, single-turn benchmark scores.",{"title":78,"searchDepth":79,"depth":79,"links":7148},[7149,7150,7151],{"id":7122,"depth":79,"text":7123},{"id":7129,"depth":79,"text":7130},{"id":7139,"depth":79,"text":7140},[170],{"content_references":7154,"triage":7168},[7155,7158,7161,7162,7165],{"type":93,"title":7156,"url":7157,"context":98},"Baseten","https:\u002F\u002Fwww.baseten.co\u002F",{"type":93,"title":7159,"url":7160,"context":98},"Sakana Fugu","https:\u002F\u002Fx.com\u002FSakanaAILabs\u002Fstatus\u002F2068973497905545461",{"type":93,"title":104,"context":98},{"type":93,"title":7163,"url":7164,"context":98},"Cline","https:\u002F\u002Fx.com\u002Fcline\u002Fstatus\u002F2069171146994729078",{"type":93,"title":7166,"url":7167,"context":98},"Gemini Interactions API","https:\u002F\u002Fx.com\u002FGoogle\u002Fstatus\u002F2069108942102310957",{"relevance":107,"novelty":108,"quality":107,"actionability":108,"composite":7095,"reasoning":7169},"Category: Models & Frontier Labs. The article discusses the emergence of SpaceX as a significant compute provider and the shift towards 'owned intelligence' with open-weight models, which addresses the audience's interest in infrastructure and model capabilities. It provides insights into the competitive landscape of models like GLM-5.2, but lacks detailed actionable steps for implementation.","\u002Fsummaries\u002F1e0d2465783ff443-spacex-s-neocloud-and-the-rise-of-owned-intelligen-summary",{"title":7112,"description":78},{"loc":7170},"1e0d2465783ff443","https:\u002F\u002Fwww.latent.space\u002Fp\u002Fainews-spacex-is-already-a-28byr","summaries\u002F1e0d2465783ff443-spacex-s-neocloud-and-the-rise-of-owned-intelligen-summary",[123,122,7177,125],"open-source","SpaceX is emerging as a massive compute provider with $28B\u002Fyear in annualized GPU rental deals, while developers increasingly prioritize 'owned intelligence' via open-weight models like GLM-5.2 to gain control over their AI stacks.",[],"7x_j5gHdeh1IpFfUZyV40kl0-26pTBxT9niAjHQlmbc",{"id":7182,"title":7183,"ai":7184,"body":7189,"categories":7232,"created_at":87,"date_modified":87,"description":78,"extension":88,"faq":87,"featured":89,"kicker_label":87,"meta":7233,"navigation":111,"path":7243,"published_at":7244,"question":87,"scraped_at":7244,"seo":7245,"sitemap":7246,"source_id":7247,"source_name":7248,"source_type":118,"source_url":7239,"stem":7249,"tags":7250,"thumbnail_url":87,"tldr":7252,"tweet":87,"unknown_tags":7253,"__hash__":7254},"summaries\u002Fsummaries\u002F20c0eff6a70c41ac-ai-modelnet-a-networked-architecture-for-collabora-summary.md","AI-ModelNet: A Networked Architecture for Collaborative AI",{"provider":7,"model":8,"input_tokens":7185,"output_tokens":7186,"processing_time_ms":7187,"cost_usd":7188},6890,483,2670,0.002447,{"type":14,"value":7190,"toc":7228},[7191,7195,7198,7202,7205,7225],[17,7192,7194],{"id":7193},"the-case-for-an-ai-model-network","The Case for an AI-Model Network",[22,7196,7197],{},"As the industry shifts from monolithic, massive models toward a landscape of lightweight, private, and domain-specific models, the primary challenge has moved from raw compute to effective collaboration. The authors argue that just as the Internet transformed computing by enabling resource sharing and communication, an \"AI-Model Network\" (AI-ModelNet) is required to solve the current bottleneck of model isolation. This paradigm aims to move beyond single-model performance by establishing standardized pathways for interconnection, capability sharing, and collaborative reasoning.",[17,7199,7201],{"id":7200},"hierarchical-architecture-and-vision","Hierarchical Architecture and Vision",[22,7203,7204],{},"The proposed AI-ModelNet framework introduces a hierarchical system architecture designed to facilitate interaction between heterogeneous models. By treating models as nodes within a network, the architecture enables:",[33,7206,7207,7213,7219],{},[36,7208,7209,7212],{},[39,7210,7211],{},"Interconnection:"," Establishing protocols for models to discover and communicate with one another.",[36,7214,7215,7218],{},[39,7216,7217],{},"Capability Sharing:"," Allowing models to leverage the specialized knowledge or processing strengths of other models in the network.",[36,7220,7221,7224],{},[39,7222,7223],{},"Collaborative Reasoning:"," Orchestrating multi-model workflows to solve complex tasks that exceed the capabilities of any single model.",[22,7226,7227],{},"The authors validate this conceptual framework through a prototype system, demonstrating that diverse application cases can be handled more effectively when models are networked rather than siloed. This approach addresses the practical constraints of high training costs and deployment complexities by allowing smaller, specialized models to function as a cohesive, intelligent system.",{"title":78,"searchDepth":79,"depth":79,"links":7229},[7230,7231],{"id":7193,"depth":79,"text":7194},{"id":7200,"depth":79,"text":7201},[86],{"content_references":7234,"triage":7241},[7235],{"type":7236,"title":7237,"author":7238,"url":7239,"context":7240},"paper","AI-Model Network: Concept, Current State and Future","Li Zhetao et al.","https:\u002F\u002Farxiv.org\u002Fabs\u002F2606.27382","cited",{"relevance":107,"novelty":108,"quality":107,"actionability":108,"composite":7095,"reasoning":7242},"Category: Agents & Orchestration. The article discusses a new architecture for collaborative AI that addresses the fragmentation of models, which is relevant to engineers looking to implement multi-agent systems. It presents a novel framework but lacks detailed actionable steps for implementation.","\u002Fsummaries\u002F20c0eff6a70c41ac-ai-modelnet-a-networked-architecture-for-collabora-summary","2026-06-29 14:33:21",{"title":7183,"description":78},{"loc":7243},"20c0eff6a70c41ac","arXiv cs.AI","summaries\u002F20c0eff6a70c41ac-ai-modelnet-a-networked-architecture-for-collabora-summary",[122,7251,125],"architectures","AI-ModelNet proposes a hierarchical, Internet-inspired architecture to enable interconnection and collaborative reasoning among heterogeneous, domain-specific models, addressing the fragmentation of the current AI landscape.",[],"HIPHr0jNleVFUoWQ7ZkFV3R2A1-1xRh-SFeerMvW7_o",{"id":7256,"title":7257,"ai":7258,"body":7263,"categories":7339,"created_at":87,"date_modified":87,"description":78,"extension":88,"faq":87,"featured":89,"kicker_label":87,"meta":7340,"navigation":111,"path":7360,"published_at":113,"question":87,"scraped_at":113,"seo":7361,"sitemap":7362,"source_id":7363,"source_name":117,"source_type":118,"source_url":7364,"stem":7365,"tags":7366,"thumbnail_url":87,"tldr":7369,"tweet":87,"unknown_tags":7370,"__hash__":7371},"summaries\u002Fsummaries\u002Fe88d84a31fb11cf1-internal-ai-adoption-the-rise-of-agentic-workflows-summary.md","Internal AI Adoption & The Rise of Agentic Workflows",{"provider":7,"model":8,"input_tokens":7259,"output_tokens":7260,"processing_time_ms":7261,"cost_usd":7262},9867,822,3719,0.00369975,{"type":14,"value":7264,"toc":7333},[7265,7269,7272,7276,7279,7283,7286,7306,7310,7313],[17,7266,7268],{"id":7267},"internal-adoption-as-a-leading-indicator","Internal Adoption as a Leading Indicator",[22,7270,7271],{},"OpenAI's internal data reveals a significant shift in how AI is utilized within the organization. Between November 2025 and June 2026, median Codex output tokens increased by 56x in Research, 32x in Customer Support, 27x in Engineering, and 13x in Legal. This surge suggests that the most effective path to production adoption involves supporting persistent workflows, human-in-the-loop review cycles, and specialized tooling rather than relying on general-purpose chat interfaces.",[17,7273,7275],{"id":7274},"the-shift-to-long-horizon-agent-infrastructure","The Shift to Long-Horizon Agent Infrastructure",[22,7277,7278],{},"Engineering efforts are increasingly focused on agentic persistence rather than just minimizing interactive latency. New infrastructure providers like Sail ($80M raised) and Hyperagent are optimizing for workloads that run for days or weeks, providing dedicated cloud environments for browser and code execution. This aligns with a broader industry trend: using general-purpose chat for one-off answers and specialized, persistent agents for repeatable, multi-step tasks.",[17,7280,7282],{"id":7281},"evolving-evaluation-and-synthetic-data","Evolving Evaluation and Synthetic Data",[22,7284,7285],{},"Public benchmarks are increasingly viewed as compromised due to data leakage (models retrieving solutions from the internet or git history). Research is shifting toward:",[33,7287,7288,7294,7300],{},[36,7289,7290,7293],{},[39,7291,7292],{},"No-internet evaluation harnesses:"," Stricter environments to prevent benchmark hacking.",[36,7295,7296,7299],{},[39,7297,7298],{},"Autodata loops:"," Using agentic loops to generate, analyze, and meta-optimize synthetic training data, which has improved pass rates in legal and math tasks from 62.1% to 79.6%.",[36,7301,7302,7305],{},[39,7303,7304],{},"Test-time compute via curation:"," Techniques like those from Datology demonstrate that data curation can improve model efficiency by 35x by inducing concision without sacrificing performance.",[17,7307,7309],{"id":7308},"open-model-ecosystem","Open Model Ecosystem",[22,7311,7312],{},"Open models continue to close the gap with frontier labs. Notable releases include:",[33,7314,7315,7321,7327],{},[36,7316,7317,7320],{},[39,7318,7319],{},"GLM-5.2 Max:"," Reached 1595 on Code Arena (Frontend) and demonstrated high agentic reliability with zero failed runs across 84 tests.",[36,7322,7323,7326],{},[39,7324,7325],{},"Ornith-1.0:"," A family of models (9B to 397B MoE) utilizing self-improving RL to optimize task-specific scaffolds.",[36,7328,7329,7332],{},[39,7330,7331],{},"Liquid AI LFM2.5-230M:"," An ultra-small model optimized for low-latency tool use, achieving ~1400 tok\u002Fs locally via WebGPU.",{"title":78,"searchDepth":79,"depth":79,"links":7334},[7335,7336,7337,7338],{"id":7267,"depth":79,"text":7268},{"id":7274,"depth":79,"text":7275},{"id":7281,"depth":79,"text":7282},{"id":7308,"depth":79,"text":7309},[86],{"content_references":7341,"triage":7358},[7342,7344,7347,7350,7352,7354],{"type":93,"title":104,"author":7343,"context":98},"Z.ai",{"type":93,"title":7345,"author":7346,"context":98},"Ornith-1.0","DeepReinforce-AI",{"type":93,"title":7348,"author":7349,"context":98},"LFM2.5-230M","Liquid AI",{"type":93,"title":7351,"context":98},"Sail",{"type":93,"title":7353,"context":98},"Hyperagent",{"type":93,"title":7355,"author":7356,"url":7357,"context":98},"Unlimited-OCR","Baidu","https:\u002F\u002Fgithub.com\u002Fbaidu\u002FUnlimited-OCR",{"relevance":106,"novelty":107,"quality":107,"actionability":108,"composite":109,"reasoning":7359},"Category: Agents & Orchestration. The article discusses the shift towards agentic workflows and persistent infrastructure, which directly addresses the audience's interest in architectures and tool use for production AI systems. It provides insights into internal adoption metrics and evolving evaluation methods, making it relevant and somewhat actionable, though it lacks specific step-by-step guidance.","\u002Fsummaries\u002Fe88d84a31fb11cf1-internal-ai-adoption-the-rise-of-agentic-workflows-summary",{"title":7257,"description":78},{"loc":7360},"e88d84a31fb11cf1","https:\u002F\u002Fwww.latent.space\u002Fp\u002Fainews-openai-reports-median-internal","summaries\u002Fe88d84a31fb11cf1-internal-ai-adoption-the-rise-of-agentic-workflows-summary",[7367,122,123,7368],"llm","benchmarks","OpenAI reports massive internal token growth across all departments, signaling that agentic workflows—supported by review loops and persistent infrastructure—are moving from experimental to core production patterns.",[],"AkER8qdWTV0wFDMczbRiSi0VldKQd_v6ay6Q6cb9FzE"]