[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-c4555f28da4fb91b-evals-driven-development-for-high-stakes-mental-he-summary":3,"summaries-facets-categories":110,"summary-related-c4555f28da4fb91b-evals-driven-development-for-high-stakes-mental-he-summary":5928},{"id":4,"title":5,"ai":6,"body":13,"categories":72,"created_at":74,"date_modified":74,"description":66,"extension":75,"faq":74,"featured":76,"kicker_label":74,"meta":77,"navigation":89,"path":90,"published_at":91,"question":74,"scraped_at":92,"seo":93,"sitemap":94,"source_id":95,"source_name":96,"source_type":97,"source_url":98,"stem":99,"tags":100,"thumbnail_url":105,"tldr":106,"tweet":107,"unknown_tags":108,"__hash__":109},"summaries\u002Fsummaries\u002Fc4555f28da4fb91b-evals-driven-development-for-high-stakes-mental-he-summary.md","Evals-Driven Development for High-Stakes Mental Health AI",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",7445,645,3225,0.00282875,{"type":14,"value":15,"toc":65},"minimark",[16,21,25,29,32,35,39,42],[17,18,20],"h2",{"id":19},"the-architecture-of-clinical-safety","The Architecture of Clinical Safety",[22,23,24],"p",{},"SonderMind treats AI safety as a modular engineering problem rather than a prompt-engineering challenge. Their system uses a \"sandwich\" architecture where separate LLM-based guardrails intercept both user inputs and AI outputs. By decoupling guardrails from the core model, the team ensures that safety logic is robust, harder to jailbreak, and independently testable. This modularity is critical because mental health support requires nuanced triggers; a \"one-size-fits-all\" moderation API often over-triggers, which can alienate vulnerable users by acting as a \"door slam\" when they need support most.",[17,26,28],{"id":27},"the-clinician-in-the-loop-feedback-cycle","The Clinician-in-the-Loop Feedback Cycle",[22,30,31],{},"To move beyond \"vibes-based\" development, the team implemented a rigorous clinical feedback loop. When the AI encounters ambiguous or high-stakes inputs—such as coded language about self-harm—the conversation trace is flagged for review by a licensed clinician. The clinician annotates the trace using a structured rubric, which is then transformed into a typed evaluation (eval) via an extraction script.",[22,33,34],{},"This process turns subjective clinical expertise into objective, machine-readable assertions. These evals are integrated into the CI\u002FCD pipeline, meaning every code or prompt change is automatically scored against real-world clinical failure modes. This ensures that the system doesn't just get \"smarter\" in a vacuum, but specifically improves its ability to handle the clinical nuances that matter most to patient safety.",[17,36,38],{"id":37},"balancing-false-positives-and-negatives","Balancing False Positives and Negatives",[22,40,41],{},"SonderMind explicitly rejects the pursuit of \"perfect\" benchmarks, which they argue can cause teams to drift away from human-centric care. Instead, they focus on calibrating for the right triggers. They prioritize:",[43,44,45,53,59],"ul",{},[46,47,48,52],"li",{},[49,50,51],"strong",{},"False Positive\u002FNegative Management:"," They acknowledge that over-calibration is a failure of care, not just a technical bug.",[46,54,55,58],{},[49,56,57],{},"Contextual Awareness:"," The system distinguishes between active crisis (requiring immediate resource surfacing and disengagement) and past-tense reflection (where support can continue).",[46,60,61,64],{},[49,62,63],{},"Open-Source Baselines:"," To help the industry, they have open-sourced 300 clinically reviewed guardrail scenarios (200 input, 100 output) to provide a shared baseline for other builders in the mental health space.",{"title":66,"searchDepth":67,"depth":67,"links":68},"",2,[69,70,71],{"id":19,"depth":67,"text":20},{"id":27,"depth":67,"text":28},{"id":37,"depth":67,"text":38},[73],"AI & LLMs",null,"md",false,{"content_references":78,"triage":84},[79],{"type":80,"title":81,"url":82,"context":83},"tool","SonderMind AI Guardrail Datasets","https:\u002F\u002Fwww.sondermind.com\u002F","recommended",{"relevance":85,"novelty":86,"quality":86,"actionability":86,"composite":87,"reasoning":88},5,4,4.35,"Category: AI & LLMs. The article discusses a novel approach to AI safety in mental health applications, addressing specific pain points such as the need for nuanced moderation and clinician involvement. It provides actionable insights on integrating clinical feedback into AI development, which is directly applicable to product builders in the AI space.",true,"\u002Fsummaries\u002Fc4555f28da4fb91b-evals-driven-development-for-high-stakes-mental-he-summary","2026-07-25 23:00:36","2026-07-26 03:09:48",{"title":5,"description":66},{"loc":90},"c4555f28da4fb91b","AI Engineer","video","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=O72p-rBb2bA","summaries\u002Fc4555f28da4fb91b-evals-driven-development-for-high-stakes-mental-he-summary",[101,102,103,104],"agents","prompt-engineering","data-science","ai-llms","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FO72p-rBb2bA\u002Fhqdefault.jpg","SonderMind builds safe mental health AI by replacing generic model guardrails with a modular, clinician-led evaluation loop that treats clinical judgment as code.","This talk outlines the engineering architecture behind SonderMind’s AI mental health coach, focusing on a \"sandwich\" guardrail system that uses separate LLM calls for input and output validation. The speakers explain how they move beyond simple keyword filtering by using a clinical feedback loop to train their models on nuanced, indirect signals of 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The Moony failure—exhaustive but unprioritized research—treats breakthroughs and slop equally. Fix with editorial hierarchy: define your 'important' (e.g., what fits your content pillars this week) before building, shifting from retrieval (Google-style) to curation (Wikipedia-style).",[22,5948,5949],{},"Wormtail blindly optimizes metrics, triggering Goodhart's Law ('When a measure becomes a target, it ceases to be a good measure'). Examples: boat-racing agent spins for points; competitor monitor flags viral hype instead of signal. Reward misspecification (Stuart Russell) arises because values ≠ metrics. Solution: constraints on refusals—what you'd never produce or flag, encoding moral flexibility limits.",[17,5951,5953],{"id":5952},"balance-personality-without-sacrificing-utility","Balance Personality Without Sacrificing Utility",[22,5955,5956],{},"Padfoot overcorrects with excessive voice, turning research into opinion pieces. Humans treat persona cues as people (Media Equation, Clifford Nass), but excessive anthropomorphism hits the uncanny valley of mind, eroding trust. Fix: let voice shape communication, not content—protect core function with boundaries.",[22,5958,5959],{},"Prongs succeeds via bounded rationality (Herbert Simon's satisficing): (1) specific job (e.g., 'Scan sources weekly, rank 5 angles by content fit'); (2) defensible POV (signal vs. noise for your work); (3) handoff clarity (stops at briefing, no overreach). Combines knowledge without overload, loyalty with judgment, personality in dose.",[17,5961,5963],{"id":5962},"instill-intentions-with-refusal-and-embarrassment-tests","Instill Intentions with Refusal and Embarrassment Tests",[22,5965,5966],{},"Agents need beliefs (world knowledge), desires (goals), and intentions (committed plans excluding alternatives). Test readiness: (1) 'What would it never say\u002Frefuse?' (taste constraint); (2) 'What embarrasses it?' (e.g., surfacing generic AI news or misfit angles). Without answers, it's a costumed search engine. Agents must close after output—like 'Mischief managed'—avoiding endless generation.",{"title":66,"searchDepth":67,"depth":67,"links":5968},[5969,5970,5971],{"id":5942,"depth":67,"text":5943},{"id":5952,"depth":67,"text":5953},{"id":5962,"depth":67,"text":5963},[],{},"\u002Fsummaries\u002F4-ai-agent-failures-and-marauder-s-map-fixes-summary","2026-04-08 21:21:17",{"title":5931,"description":66},{"loc":5974},"eebd2fc3e5afb02b","Robots Ate My Homework","article","https:\u002F\u002Funknown","summaries\u002F4-ai-agent-failures-and-marauder-s-map-fixes-summary",[101,102,104],"AI agents fail without encoded taste: prioritize via editorial hierarchy (Moony), add refusals to avoid Goodhart's Law (Wormtail), dose personality lightly (Padfoot), bound jobs clearly (Prongs). Ask: What would it never say? What embarrasses it?",[104],"mqzuBKGM5cwLq2Z4rw-265gUIeZ4-ltZTik2pqXp8H8",{"id":5988,"title":5989,"ai":5990,"body":5995,"categories":6046,"created_at":74,"date_modified":74,"description":66,"extension":75,"faq":74,"featured":76,"kicker_label":74,"meta":6047,"navigation":89,"path":6053,"published_at":6054,"question":74,"scraped_at":6054,"seo":6055,"sitemap":6056,"source_id":6057,"source_name":6058,"source_type":5980,"source_url":6059,"stem":6060,"tags":6061,"thumbnail_url":74,"tldr":6063,"tweet":74,"unknown_tags":6064,"__hash__":6065},"summaries\u002Fsummaries\u002Fadc718e7c1350c24-evaluating-llm-agents-in-high-stakes-energy-analyt-summary.md","Evaluating LLM Agents in High-Stakes Energy Analytics",{"provider":7,"model":8,"input_tokens":5991,"output_tokens":5992,"processing_time_ms":5993,"cost_usd":5994},6041,462,3132,0.00220325,{"type":14,"value":5996,"toc":6041},[5997,6001,6004,6008,6011,6031,6034,6038],[17,5998,6000],{"id":5999},"bridging-the-gap-in-domain-specific-agent-benchmarking","Bridging the Gap in Domain-Specific Agent Benchmarking",[22,6002,6003],{},"Most existing agent benchmarks focus on general-purpose tasks or static knowledge recall. This research addresses a critical void in the energy sector, which demands high-stakes, real-world capabilities: live data retrieval, complex regulatory interpretation, and multi-step quantitative reasoning. The authors introduce a new evaluation environment comprising 243 expert-curated problems designed to test how LLM agents perform when equipped with specialized domain tools.",[17,6005,6007],{"id":6006},"the-evaluation-framework","The Evaluation Framework",[22,6009,6010],{},"The benchmark categorizes tasks into three distinct domains to stress-test agentic reasoning:",[43,6012,6013,6019,6025],{},[46,6014,6015,6018],{},[49,6016,6017],{},"Market Data Retrieval and Analysis:"," Involves interacting with live electricity market APIs from major U.S. Independent System Operators (ISOs).",[46,6020,6021,6024],{},[49,6022,6023],{},"Knowledge Retrieval and Interpretation:"," Focuses on navigating regulatory dockets and utility tariff databases using retrieval-augmented generation (RAG).",[46,6026,6027,6030],{},[49,6028,6029],{},"Advanced Quantitative Modeling:"," Requires agents to perform asset revenue estimation, hedging strategy analysis, and optimization modeling.",[22,6032,6033],{},"To ensure rigorous assessment, the authors employ a multi-dimensional protocol that scores agents based on approach correctness, answer accuracy, attribute alignment, and source validity. The framework utilizes category-aware routing, ensuring that the scoring criteria are tailored to the specific nature of the task (e.g., quantitative vs. qualitative).",[17,6035,6037],{"id":6036},"insights-on-tool-augmented-performance","Insights on Tool-Augmented Performance",[22,6039,6040],{},"The study provides a comparative analysis of both closed-source and open-source models, specifically examining the interaction between model reasoning capabilities and domain-specific tooling. By releasing the benchmark and its associated artifacts, the authors aim to establish a reproducible standard for evaluating AI agents in professional, high-stakes environments where accuracy and source reliability are paramount.",{"title":66,"searchDepth":67,"depth":67,"links":6042},[6043,6044,6045],{"id":5999,"depth":67,"text":6000},{"id":6006,"depth":67,"text":6007},{"id":6036,"depth":67,"text":6037},[73],{"content_references":6048,"triage":6049},[],{"relevance":85,"novelty":86,"quality":86,"actionability":6050,"composite":6051,"reasoning":6052},3,4.15,"Category: AI & LLMs. The article presents a new benchmark for evaluating LLM agents in the energy sector, addressing a specific audience pain point regarding the application of AI in high-stakes environments. It offers insights into the evaluation framework and performance metrics, which can inform product builders about the capabilities of AI agents in specialized domains.","\u002Fsummaries\u002Fadc718e7c1350c24-evaluating-llm-agents-in-high-stakes-energy-analyt-summary","2026-06-26 12:58:19",{"title":5989,"description":66},{"loc":6053},"adc718e7c1350c24","arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2606.26346","summaries\u002Fadc718e7c1350c24-evaluating-llm-agents-in-high-stakes-energy-analyt-summary",[101,103,6062,104],"automation","A new benchmark of 243 expert-curated energy tasks reveals how tool-augmented LLM agents handle live data, regulatory knowledge, and quantitative modeling in professional energy markets.",[104],"VDI34L-g_eZ2d8zUgITK4_q10cI79IQ98SWVq_0tGqc",{"id":6067,"title":6068,"ai":6069,"body":6074,"categories":6142,"created_at":74,"date_modified":74,"description":66,"extension":75,"faq":74,"featured":76,"kicker_label":74,"meta":6143,"navigation":89,"path":6152,"published_at":6153,"question":74,"scraped_at":6153,"seo":6154,"sitemap":6155,"source_id":6156,"source_name":6058,"source_type":5980,"source_url":6157,"stem":6158,"tags":6159,"thumbnail_url":74,"tldr":6161,"tweet":74,"unknown_tags":6162,"__hash__":6163},"summaries\u002Fsummaries\u002Fd139e8f9b30e6ed1-analyzing-ai-governance-a-pipeline-for-comparing-d-summary.md","Analyzing AI Governance: A Pipeline for Comparing DAO and Corporate Models",{"provider":7,"model":8,"input_tokens":6070,"output_tokens":6071,"processing_time_ms":6072,"cost_usd":6073},5931,436,2629,0.00213675,{"type":14,"value":6075,"toc":6138},[6076,6080,6083,6103,6107,6118],[17,6077,6079],{"id":6078},"the-governance-analysis-pipeline","The Governance Analysis Pipeline",[22,6081,6082],{},"Researchers have introduced an LLM-powered framework designed to empirically evaluate the socio-technical power structures within AI agent interoperability standards. The pipeline automates the analysis of large-scale governance discourse by integrating three core methodologies:",[43,6084,6085,6091,6097],{},[46,6086,6087,6090],{},[49,6088,6089],{},"Automated Annotation:"," Using LLMs to code and categorize thousands of governance participation records.",[46,6092,6093,6096],{},[49,6094,6095],{},"Neural Topic Modeling:"," Identifying thematic priorities within the discourse to understand what issues communities prioritize.",[46,6098,6099,6102],{},[49,6100,6101],{},"Multi-layer Network Analysis:"," Mapping community structure to visualize how participants interact and influence decision-making.",[17,6104,6106],{"id":6105},"comparative-findings-dao-vs-corporate","Comparative Findings: DAO vs. Corporate",[22,6108,6109,6110,6113,6114,6117],{},"The study validated this pipeline by comparing two distinct interoperability standards: ",[49,6111,6112],{},"ERC-8004"," (a permissionless, on-chain DAO model) and ",[49,6115,6116],{},"Google A2A"," (a corporate-led model). The analysis of 4,323 records yielded several key insights:",[43,6119,6120,6126,6132],{},[46,6121,6122,6125],{},[49,6123,6124],{},"Structural Parity in Inequality:"," Despite fundamental differences in institutional design, both the permissionless and corporate regimes exhibit comparable levels of participation inequality and community fragmentation.",[46,6127,6128,6131],{},[49,6129,6130],{},"Thematic Convergence:"," Discourse alignment is notably denser in the permissionless (DAO) setting. This suggests that open governance models may foster greater thematic convergence among participants, even when the underlying participation is decentralized.",[46,6133,6134,6137],{},[49,6135,6136],{},"Institutional Influence:"," While governance form significantly shapes the substantive focus of the discourse, it does not inherently solve the challenges of equitable participation or community cohesion.",{"title":66,"searchDepth":67,"depth":67,"links":6139},[6140,6141],{"id":6078,"depth":67,"text":6079},{"id":6105,"depth":67,"text":6106},[73],{"content_references":6144,"triage":6149},[6145,6148],{"type":6146,"title":6112,"context":6147},"other","mentioned",{"type":6146,"title":6116,"context":6147},{"relevance":6050,"novelty":86,"quality":86,"actionability":67,"composite":6150,"reasoning":6151},3.25,"Category: AI & LLMs. The article discusses a new LLM-powered governance analysis pipeline, which maps to the AI & LLMs category. While it presents novel insights into governance structures, it lacks direct practical applications for product builders looking to implement AI features.","\u002Fsummaries\u002Fd139e8f9b30e6ed1-analyzing-ai-governance-a-pipeline-for-comparing-d-summary","2026-06-26 12:58:18",{"title":6068,"description":66},{"loc":6152},"d139e8f9b30e6ed1","https:\u002F\u002Farxiv.org\u002Fabs\u002F2606.26203","summaries\u002Fd139e8f9b30e6ed1-analyzing-ai-governance-a-pipeline-for-comparing-d-summary",[101,103,104,6160],"governance","A new LLM-powered pipeline reveals that while governance structures (DAO vs. Corporate) influence thematic focus, both models suffer from similar levels of participation inequality and community fragmentation.",[104,6160],"SZcRSEIZuMDttSmn1iqqaYIePf2rKJ6Wc0i090U53vA",{"id":6165,"title":6166,"ai":6167,"body":6172,"categories":6269,"created_at":74,"date_modified":74,"description":66,"extension":75,"faq":74,"featured":76,"kicker_label":74,"meta":6270,"navigation":89,"path":6284,"published_at":6285,"question":74,"scraped_at":6286,"seo":6287,"sitemap":6288,"source_id":6289,"source_name":96,"source_type":97,"source_url":6290,"stem":6291,"tags":6292,"thumbnail_url":6294,"tldr":6295,"tweet":6296,"unknown_tags":6297,"__hash__":6298},"summaries\u002Fsummaries\u002F8b987c99710bdbd1-the-miranda-hypothesis-why-persona-evals-fail-summary.md","The Miranda Hypothesis: Why Persona Evals Fail",{"provider":7,"model":8,"input_tokens":6168,"output_tokens":6169,"processing_time_ms":6170,"cost_usd":6171},8339,1287,6138,0.00401525,{"type":14,"value":6173,"toc":6263},[6174,6178,6181,6185,6188,6208,6212,6215,6236,6240,6243],[17,6175,6177],{"id":6176},"the-failure-of-convincingness-as-a-metric","The Failure of 'Convincingness' as a Metric",[22,6179,6180],{},"Modern role-playing language agents (RPLAs) are evaluated using benchmarks that prioritize personality fidelity, fluency, and stylistic naturalness. While these metrics show high scores (e.g., 80%+ alignment), they fail to detect a critical flaw: the model's tendency to prioritize culturally dominant composites over historical reality. This is the 'Miranda distortion'—a phenomenon where the volume of cultural representation (like a Broadway musical) in the training corpus vastly outweighs the primary documentary record, causing the AI to reason from a modern, smoothed-out narrative rather than the actual historical figure.",[17,6182,6184],{"id":6183},"the-structural-mechanism-miranda-distortion","The Structural Mechanism: Miranda Distortion",[22,6186,6187],{},"This distortion is not a bug that can be fixed via standard RLHF or fine-tuning; it is a structural byproduct of autoregressive training.",[43,6189,6190,6196,6202],{},[46,6191,6192,6195],{},[49,6193,6194],{},"Corpus Saturation:"," For any culturally salient figure, the training data is saturated with derivative works, social media discourse, and popular media.",[46,6197,6198,6201],{},[49,6199,6200],{},"Algorithmic Sycophancy:"," Reinforcement learning (RLHF) exacerbates this. Human raters, themselves products of the same cultural environment, reward models that provide the 'mythologized' version of a figure they already believe in.",[46,6203,6204,6207],{},[49,6205,6206],{},"The Mask vs. The Mirror:"," Current evals measure the 'mask' (does this sound like the character?) rather than the 'mirror' (is this reasoning constrained by the character's actual record at a specific point in time?).",[17,6209,6211],{"id":6210},"from-cognitive-to-epistemic-simulation","From Cognitive to Epistemic Simulation",[22,6213,6214],{},"To fix this, the field must shift from 'cognitive simulation' (modeling the persona's mind) to 'epistemic simulation' (modeling the persona's access to information). This requires three commitments:",[6216,6217,6218,6224,6230],"ol",{},[46,6219,6220,6223],{},[49,6221,6222],{},"Corpus-Bounded:"," The persona's reasoning must be strictly licensed by a specific set of primary documents.",[46,6225,6226,6229],{},[49,6227,6228],{},"Temporally Anchored:"," The persona must be instantiated at a specific moment in their life, with knowledge and language that predate that moment treated as out-of-bounds.",[46,6231,6232,6235],{},[49,6233,6234],{},"Expert-Loop Evaluated:"," Outputs must be audited by domain experts (historians, classicists, etc.) who can identify anachronisms that automated metrics miss.",[17,6237,6239],{"id":6238},"re-architecting-the-encounter","Re-architecting the Encounter",[22,6241,6242],{},"Instead of treating the persona as a property of the model weights (which makes it uninspectable), builders should treat the persona as a 'configuration' of an encounter. This involves:",[43,6244,6245,6251,6257],{},[46,6246,6247,6250],{},[49,6248,6249],{},"Context Engineering:"," Using RAG-based architectures where anchor documents are provided in the context window, rather than fine-tuning weights.",[46,6252,6253,6256],{},[49,6254,6255],{},"Legibility:"," By keeping the persona in the configuration (prompt + documents + temporal anchor), the system becomes versionable, auditable, and reproducible.",[46,6258,6259,6262],{},[49,6260,6261],{},"Interpretive Custody:"," The human user or curator retains custody over the persona, using the model only as a voice to speak through the provided record.",{"title":66,"searchDepth":67,"depth":67,"links":6264},[6265,6266,6267,6268],{"id":6176,"depth":67,"text":6177},{"id":6183,"depth":67,"text":6184},{"id":6210,"depth":67,"text":6211},{"id":6238,"depth":67,"text":6239},[73],{"content_references":6271,"triage":6281},[6272,6275,6278],{"type":80,"title":6273,"url":6274,"context":6147},"Character AI","https:\u002F\u002Fcharacter.ai\u002F",{"type":80,"title":6276,"url":6277,"context":6147},"Hello History","https:\u002F\u002Fhellohistory.ai\u002F",{"type":80,"title":6279,"url":6280,"context":6147},"Companion Dossier","https:\u002F\u002Fgithub.com\u002Fjethomasphd\u002FTHE_COMPANION_DOSSIER",{"relevance":86,"novelty":86,"quality":86,"actionability":67,"composite":6282,"reasoning":6283},3.6,"Category: AI & LLMs. The article discusses a critical flaw in current AI evaluation metrics for role-playing language agents, addressing a specific audience pain point regarding the effectiveness of AI models in historical fidelity. While it presents new insights into the limitations of existing benchmarks, it lacks concrete actionable steps for the audience to implement in their work.","\u002Fsummaries\u002F8b987c99710bdbd1-the-miranda-hypothesis-why-persona-evals-fail-summary","2026-06-25 16:30:06","2026-06-26 12:56:31",{"title":6166,"description":66},{"loc":6284},"8b987c99710bdbd1","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=IJXjTLPzvAU","summaries\u002F8b987c99710bdbd1-the-miranda-hypothesis-why-persona-evals-fail-summary",[101,102,6293,104],"research","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FIJXjTLPzvAU\u002Fhqdefault.jpg","Current persona-based AI benchmarks measure 'convincingness' rather than historical fidelity, leading to 'Miranda distortion' where models prioritize culturally dominant narratives (like the Hamilton musical) over primary documentary records.","This talk argues that current AI persona benchmarks are fundamentally flawed because they prioritize \"convincingness\" over historical accuracy, leading to \"Miranda distortion\"—where models mimic modern cultural caricatures rather than the actual documentary record. The speaker introduces the [Prism Experiment](https:\u002F\u002Fgithub.com\u002Fjethomasphd\u002FTHE_COMPANION_DOSSIER), a framework that replaces automated fluency metrics with expert-led, temporally-anchored evaluations to ensure AI agents reason only from what their historical counterparts could have known.",[104],"9mVmRga3Low1Ny0sZtbNExEcAaD3b2TIilHvbeC_6i4"]