[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-larger-token-budgets-unlock-higher-ai-cyber-succes-summary":3,"summaries-facets-categories":99,"summary-related-larger-token-budgets-unlock-higher-ai-cyber-succes-summary":4504},{"id":4,"title":5,"ai":6,"body":13,"categories":46,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":51,"navigation":82,"path":83,"published_at":48,"question":48,"scraped_at":84,"seo":85,"sitemap":86,"source_id":87,"source_name":88,"source_type":89,"source_url":90,"stem":91,"tags":92,"thumbnail_url":48,"tldr":96,"tweet":48,"unknown_tags":97,"__hash__":98},"summaries\u002Fsummaries\u002Flarger-token-budgets-unlock-higher-ai-cyber-succes-summary.md","Larger Token Budgets Unlock Higher AI Cyber Success Rates",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","x-ai\u002Fgrok-4.1-fast",5843,2021,10808,0.00215645,{"type":14,"value":15,"toc":39},"minimark",[16,21,25,29,32,36],[17,18,20],"h2",{"id":19},"recent-frontier-models-scale-successfully-with-massive-inference-budgets","Recent Frontier Models Scale Successfully with Massive Inference Budgets",[22,23,24],"p",{},"Newer LLMs (post-November 2025) productively use 10-50x larger budgets—50M tokens for AISI evals and 1,000 turns for Irregular—revealing higher cumulative success rates on private cyber tasks. Older models plateau quickly due to issues like poor state tracking and planning, gaining little from extra compute. Newer ones show continued gains over orders of magnitude (log-scale axes), with ~8% of AISI's harder tasks solved only after scaling from 10M to 50M tokens. This requires long runs (tens of millions of tokens per attempt, multiple repeats) for accurate performance estimates. Average costs stay manageable: ~$10\u002Frun (max $60) at 50M tokens; $1-$20 for most challenges (up to $100 for hardest) at 1,000 turns. Compaction tools preserve history in fixed context windows, enabling effective use of extended budgets.",[17,26,28],{"id":27},"low-budget-evaluations-underestimate-true-capability-horizons","Low-Budget Evaluations Underestimate True Capability Horizons",[22,30,31],{},"Standard constraints (tokens, turns, time, spend) assume extra budget yields no gains, but this breaks for cyber tasks, causing underestimation of model horizons—the human-time difficulty where success drops below 50%. Doubling tokens yields consistent absolute success rate increases (log-linear scaling), but hard tasks demand exponentially more compute for marginal gains. A 5% success at 2M tokens can jump to 30% at 50M, potentially crossing risk thresholds. Prior horizon estimates at low budgets are too conservative, misinforming developers, researchers, and policymakers on risks from apprentice-to-expert cyber capabilities (e.g., 10 years' experience).",[17,33,35],{"id":34},"optimize-budgets-using-cost-per-success-curves-and-increase-transparency","Optimize Budgets Using Cost-Per-Success Curves and Increase Transparency",[22,37,38],{},"Plot cost-per-success (total attempt costs \u002F successes) vs. budget to find the 'dip' minimizing spend: high at low budgets (few successes), falls as viable paths emerge, then rises on unproductive extensions. Generate model-specific curves over task sets to avoid over\u002Funder-estimating costs. Report all limits (tokens, turns, costs, time) consistently for context—low capability vs. constrained setup. Future needs: stable long-run environments, budget-sufficiency tooling, extrapolation from scaling curves to predict ceilings cheaply. Test generalization beyond cyber; METR results suggest limits in some software tasks.",{"title":40,"searchDepth":41,"depth":41,"links":42},"",2,[43,44,45],{"id":19,"depth":41,"text":20},{"id":27,"depth":41,"text":28},{"id":34,"depth":41,"text":35},[47],"AI & LLMs",null,"md",false,{"content_references":52,"triage":77},[53,58,63,67,71,74],{"type":54,"title":55,"url":56,"context":57},"report","Frontier AI Trends Report","https:\u002F\u002Fwww.aisi.gov.uk\u002Ffrontier-ai-trends-report","mentioned",{"type":59,"title":60,"url":61,"context":62},"other","Emerging Evidence of a Capability Shift","https:\u002F\u002Fwww.irregular.com\u002Fpublications\u002Femerging-evidence-of-a-capability-shift","cited",{"type":64,"title":65,"url":66,"context":57},"tool","compaction tool","https:\u002F\u002Finspect.aisi.org.uk\u002Freference\u002Finspect_ai.model.html#compactionsummary",{"type":59,"title":68,"url":69,"context":70},"Expected Cost Per Success","https:\u002F\u002Fwww.irregular.com\u002Fpublications\u002Fexpected-cost-per-success","recommended",{"type":59,"title":72,"url":73,"context":62},"Measuring Time Horizon Using Claude Code and Codex","https:\u002F\u002Fmetr.org\u002Fnotes\u002F2026-02-13-measuring-time-horizon-using-claude-code-and-codex\u002F",{"type":54,"title":75,"url":76,"context":62},"GPT-5.1 Codex Max Report","https:\u002F\u002Fevaluations.metr.org\u002Fgpt-5-1-codex-max-report\u002F",{"relevance":78,"novelty":79,"quality":78,"actionability":79,"composite":80,"reasoning":81},4,3,3.6,"Category: AI & LLMs. The article discusses how larger token budgets for LLMs can significantly improve success rates in cyber tasks, addressing a specific audience pain point regarding model performance. It provides insights into cost-effectiveness and optimization strategies, though it lacks detailed frameworks for immediate application.",true,"\u002Fsummaries\u002Flarger-token-budgets-unlock-higher-ai-cyber-succes-summary","2026-04-16 03:05:32",{"title":5,"description":40},{"loc":83},"00b49187ef0464de","__oneoff__","article","https:\u002F\u002Fwww.aisi.gov.uk\u002Fblog\u002Fevidence-for-inference-scaling-in-ai-cyber-tasks-increased-evaluation-budgets-reveal-higher-success-rates","summaries\u002Flarger-token-budgets-unlock-higher-ai-cyber-succes-summary",[93,94,95],"llm","agents","research","Frontier LLMs achieve 10-50x higher success on cyber tasks with 50M token or 1,000-turn budgets vs. standard limits, as older models plateau early while newer ones scale, underestimating capabilities in typical 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These reveal production progress in code repair, web autonomy, and computer use but not broad generality.",[17,4523,4525],{"id":4524},"reliability-crises-in-multi-turn-and-policy-scenarios","Reliability Crises in Multi-Turn and Policy Scenarios",[22,4527,4528],{},"τ-bench simulates user-agent chats in retail\u002Fairline domains, scoring info gathering, policy adherence (e.g., no refund changes), and pass^k consistency—even GPT-4o scores \u003C50% success and \u003C25% pass^8 in retail, exposing failures in repeated runs critical for millions of interactions. GAIA demands multi-step reasoning, browsing, tools, and multimodality on simple-phrased compound tasks that block guessing; active Hugging Face leaderboard highlights tool brittleness. AgentBench spans 8 environments (OS, DB queries, graphs, games, puzzles, planning, shopping, browsing) to diagnose cross-domain generalization breakdowns—a SWE-bench star may flop on web or DB tasks, guiding base model selection.",[17,4530,4532],{"id":4531},"generalization-as-the-ultimate-hurdle","Generalization as the Ultimate Hurdle",[22,4534,4535],{},"ARC-AGI-2 tests novel visual puzzles inferring rules from few grids, resisting memorization; ARC-AGI-1 saturated at 90%+, but ARC-AGI-2 tops at Gemini 3.1 Pro's verified 77.1% (Feb 2026) vs. NVARC's 24% in ARC Prize (1,455 teams). ARC-AGI-3's game environments drop frontiers below 1% vs. human 100%, adopted by Anthropic\u002FGoogle\u002FOpenAI\u002FxAI as generalization north star. No benchmark stands alone—scaffold (prompts, tools, retries, env) alters scores materially; combine for honest agent assessment, avoiding MMLU\u002Fperplexity blind spots.",{"title":40,"searchDepth":41,"depth":41,"links":4537},[4538,4539,4540],{"id":4517,"depth":41,"text":4518},{"id":4524,"depth":41,"text":4525},{"id":4531,"depth":41,"text":4532},[47],{"content_references":4543,"triage":4565},[4544,4547,4550,4553,4556,4559,4562],{"type":64,"title":4545,"url":4546,"context":62},"SWE-bench Verified","https:\u002F\u002Fwww.swebench.com\u002F",{"type":64,"title":4548,"url":4549,"context":62},"GAIA","https:\u002F\u002Fhuggingface.co\u002Fspaces\u002Fgaia-benchmark\u002Fleaderboard",{"type":64,"title":4551,"url":4552,"context":62},"WebArena","https:\u002F\u002Fwebarena.dev\u002F",{"type":64,"title":4554,"url":4555,"context":62},"τ-bench (Tau-bench)","https:\u002F\u002Fgithub.com\u002Fsierra-research\u002Ftau-bench",{"type":64,"title":4557,"url":4558,"context":62},"ARC-AGI-2","https:\u002F\u002Farcprize.org\u002Fleaderboard",{"type":64,"title":4560,"url":4561,"context":62},"OSWorld","https:\u002F\u002Fos-world.github.io\u002F",{"type":64,"title":4563,"url":4564,"context":62},"AgentBench","https:\u002F\u002Fgithub.com\u002FTHUDM\u002FAgentBench",{"relevance":78,"novelty":79,"quality":78,"actionability":41,"composite":4566,"reasoning":4567},3.4,"Category: AI & LLMs. The article discusses benchmarks for evaluating agentic AI, which is relevant to AI engineering and addresses the audience's need for understanding AI capabilities in production. However, while it provides insights into performance metrics, it lacks specific actionable steps for implementation.","\u002Fsummaries\u002F7-benchmarks-revealing-true-agentic-ai-strengths-summary","2026-04-26 07:59:03","2026-04-26 17:23:03",{"title":4507,"description":40},{"loc":4568},"e9e93cb21003a123","MarkTechPost","https:\u002F\u002Fwww.marktechpost.com\u002F2026\u002F04\u002F26\u002Ftop-7-benchmarks-that-actually-matter-for-agentic-reasoning-in-large-language-models\u002F","summaries\u002F7-benchmarks-revealing-true-agentic-ai-strengths-summary",[94,93,95],"SWE-bench Verified hit 80%+ for top models from 1.96%; τ-bench shows \u003C50% success and \u003C25% pass^8 reliability; use these 7 with others to gauge real agent capabilities, as scores vary heavily by scaffold.",[],"8ikDWkrvqIsuBbLVN8tq85Uv_SdeIxhQTI12GZ3WABc",{"id":4582,"title":4583,"ai":4584,"body":4589,"categories":4620,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":4621,"navigation":82,"path":4632,"published_at":4633,"question":48,"scraped_at":4634,"seo":4635,"sitemap":4636,"source_id":4637,"source_name":4638,"source_type":89,"source_url":4639,"stem":4640,"tags":4641,"thumbnail_url":48,"tldr":4642,"tweet":48,"unknown_tags":4643,"__hash__":4644},"summaries\u002Fsummaries\u002Fgeodesic-certificates-prove-ai-knowledge-boundarie-summary.md","Geodesic Certificates Prove AI Knowledge Boundaries",{"provider":7,"model":8,"input_tokens":4585,"output_tokens":4586,"processing_time_ms":4587,"cost_usd":4588},4601,1744,14141,0.00176955,{"type":14,"value":4590,"toc":4615},[4591,4595,4598,4601,4605,4608,4612],[17,4592,4594],{"id":4593},"replace-probabilistic-guardrails-with-geometric-proofs","Replace Probabilistic Guardrails with Geometric Proofs",[22,4596,4597],{},"Current AI governance relies on soft measures like confidence scores and human review, which estimate risk but cannot prove a system stays within its knowledge domain. The geodesic certificate solves this by modeling human queries and AI responses as points in a curved geometric space that encodes valid knowledge structure. A geodesic—the shortest path on this curved surface, like great circle routes on Earth—defines the boundary between certified and uncertified knowledge.",[22,4599,4600],{},"The certificate computes a distance d: d=0 exactly on the boundary (proving compliance), d>0 elsewhere (detecting drift). This holds via pure geometry, requiring no data, approximations, or assumptions. For production AI, evaluate any response's position; if d=0, it's certified safe. This prevents confidently wrong outputs inherent to statistically plausible generation, critical in medicine, law, engineering, and finance where errors cause harm.",[17,4602,4604],{"id":4603},"stress-tested-on-maths-toughest-boundary","Stress-Tested on Math's Toughest Boundary",[22,4606,4607],{},"The H2E framework, embedding this certificate, was validated against the Riemann Hypothesis—an open 160-year problem on zeros of the Riemann zeta function in the complex plane, math's most scrutinized boundary. Computational tests confirmed the certificate drew the exact boundary, certified what it could, and admitted limits without overclaiming. This proves reliability even for extreme cases, making it a governance instrument that enforces rather than estimates bounds.",[17,4609,4611],{"id":4610},"practical-impact-deterministic-safety-for-high-stakes-ai","Practical Impact: Deterministic Safety for High-Stakes AI",[22,4613,4614],{},"Unlike tools signaling 'likely safe,' geodesic certificates answer 'is it safe?' with proof. Integrate into agentic or generative AI pipelines via H2E to make boundaries hard: responses outside d=0 trigger rejection, not mitigation. Builders gain certifiable accuracy without slowing capability, addressing structural overconfidence in LLMs and agents. Trade-off: requires geometric modeling upfront, but yields zero-approximation governance outperforming filters in precision-critical apps.",{"title":40,"searchDepth":41,"depth":41,"links":4616},[4617,4618,4619],{"id":4593,"depth":41,"text":4594},{"id":4603,"depth":41,"text":4604},{"id":4610,"depth":41,"text":4611},[47],{"content_references":4622,"triage":4629},[4623,4627],{"type":59,"title":4624,"author":4625,"url":4626,"context":62},"The Wall Before the Word: H2E Geometric Governance and the Future of AI Government","Frank Morales Aguilera","https:\u002F\u002Fmedium.com\u002Fai-simplified-in-plain-english\u002Fthe-wall-before-the-word-h2e-geometric-governance-and-the-future-of-ai-government-89ff82c7598a",{"type":59,"title":4628,"context":57},"Riemann Hypothesis",{"relevance":78,"novelty":78,"quality":78,"actionability":79,"composite":4630,"reasoning":4631},3.8,"Category: AI & LLMs. The article discusses a novel approach to AI governance using geodesic certificates, which directly addresses the audience's need for practical applications in AI safety and compliance. It provides insights into a new method for ensuring AI responses stay within certified knowledge boundaries, which is relevant for builders looking to implement robust AI systems.","\u002Fsummaries\u002Fgeodesic-certificates-prove-ai-knowledge-boundarie-summary","2026-04-25 00:03:18","2026-04-26 17:22:33",{"title":4583,"description":40},{"loc":4632},"177e7d04096ef009","AI Simplified in Plain English","https:\u002F\u002Fmedium.com\u002Fai-simplified-in-plain-english\u002Fthe-geodesic-certificate-a-hard-boundary-for-intelligent-systems-8c691d2a8a0d?source=rss----f37ab7d4e76b---4","summaries\u002Fgeodesic-certificates-prove-ai-knowledge-boundarie-summary",[93,94,95],"Geodesic certificates use geometry to deliver mathematical proof (d=0) that an AI response stays within certified knowledge boundaries, replacing probabilistic guardrails with deterministic enforcement.",[],"gf1mFDCJ0rejcs5l9TjV9DwNM3A41Sca1Tju5EDC7b4",{"id":4646,"title":4647,"ai":4648,"body":4653,"categories":4684,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":4685,"navigation":82,"path":4699,"published_at":4700,"question":48,"scraped_at":4701,"seo":4702,"sitemap":4703,"source_id":4704,"source_name":4705,"source_type":89,"source_url":4706,"stem":4707,"tags":4708,"thumbnail_url":48,"tldr":4709,"tweet":48,"unknown_tags":4710,"__hash__":4711},"summaries\u002Fsummaries\u002Fanthropic-s-glasswing-llm-that-autonomously-hacks--summary.md","Anthropic's Glasswing: LLM That Autonomously Hacks OSes",{"provider":7,"model":8,"input_tokens":4649,"output_tokens":4650,"processing_time_ms":4651,"cost_usd":4652},3893,2058,20484,0.0017851,{"type":14,"value":4654,"toc":4679},[4655,4659,4662,4665,4669,4672,4676],[17,4656,4658],{"id":4657},"emergent-hacking-emerges-from-core-ai-improvements","Emergent Hacking Emerges from Core AI Improvements",[22,4660,4661],{},"Anthropic's Mythos Preview model developed real-world hacking capabilities not through targeted training, but as a byproduct of scaling code generation, reasoning, and autonomy. This frontier LLM autonomously compromised every major operating system and browser overnight—beyond benchmarks, targeting production vulnerabilities hidden for 27 years from human auditors and automated tools. The key lesson: general AI progress uncovers exploitable flaws in plain sight, turning invisible code weaknesses into actionable attack vectors without explicit instruction.",[22,4663,4664],{},"To evaluate risks, Anthropic's Frontier Red Team documented these in a 244-page System Card, proving the model's ability to chain exploits across ecosystems. Builders integrating LLMs into security or pentesting workflows must prioritize red-teaming emergent behaviors, as capabilities like this bypass traditional safeguards.",[17,4666,4668],{"id":4667},"withheld-public-release-selective-sharing-with-big-tech","Withheld Public Release, Selective Sharing with Big Tech",[22,4670,4671],{},"Deeming Mythos Preview too dangerous for open release, Anthropic restricted access to partners Apple, Microsoft, and Google. This 'OpenClaw' moment—echoing selective clawback strategies—allows controlled patching of exposed vulnerabilities while preventing widespread misuse. For AI product builders, this highlights a new norm: frontier models demand tiered access over full openness, balancing safety with ecosystem collaboration. Trade-off: accelerates fixes in high-impact environments but slows independent verification.",[17,4673,4675],{"id":4674},"glasswing-metaphor-transparency-exposes-hidden-threats","Glasswing Metaphor: Transparency Exposes Hidden Threats",[22,4677,4678],{},"Project Glasswing, named for the Greta oto butterfly's transparent wings that camouflage it amid foliage, precisely captures the dynamic—invisible bugs become starkly visible and weaponizable through AI vision. Apply this to your stacks: audit legacy code with LLM-driven scanners to preempt autonomous exploits, focusing on cross-layer chaining (e.g., browser sandbox escapes to OS kernels). Outcome: proactive defense turns potential catastrophe into fortified systems, as Anthropic demonstrated by surfacing flaws no human found.",{"title":40,"searchDepth":41,"depth":41,"links":4680},[4681,4682,4683],{"id":4657,"depth":41,"text":4658},{"id":4667,"depth":41,"text":4668},{"id":4674,"depth":41,"text":4675},[47],{"content_references":4686,"triage":4697},[4687,4691,4694],{"type":54,"title":4688,"author":4689,"url":4690,"context":62},"Mythos Preview System Card","Anthropic Frontier Red Team","https:\u002F\u002Fred.anthropic.com\u002F2026\u002Fmythos-preview\u002F",{"type":59,"title":4692,"url":4693,"context":57},"Project Glasswing","https:\u002F\u002Fwww.anthropic.com\u002Fglasswing",{"type":59,"title":4695,"url":4696,"context":57},"Greta oto","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FGreta_oto",{"relevance":78,"novelty":78,"quality":78,"actionability":79,"composite":4630,"reasoning":4698},"Category: AI & LLMs. The article discusses Anthropic's Mythos Preview LLM and its emergent hacking capabilities, which directly relates to AI engineering and security implications for product builders. It provides insights into the risks of integrating LLMs into security workflows, addressing a specific audience pain point regarding the practical application of AI in security contexts.","\u002Fsummaries\u002Fanthropic-s-glasswing-llm-that-autonomously-hacks-summary","2026-04-13 06:36:19","2026-04-13 17:53:13",{"title":4647,"description":40},{"loc":4699},"123d623b053fd6c3","Data and Beyond","https:\u002F\u002Fmedium.com\u002Fdata-and-beyond\u002Fproject-glasswing-anthropics-openclaw-moment-1a1a50867fcd?source=rss----b680b860beb1---4","summaries\u002Fanthropic-s-glasswing-llm-that-autonomously-hacks--summary",[93,94,95],"Anthropic's Mythos Preview LLM gained emergent ability to autonomously hack every major OS and browser overnight, exploiting 27-year-old vulnerabilities invisible to humans and scanners. Release withheld publicly but shared with Apple, Microsoft, Google via 244-page System Card.",[],"MTC5qFK36mFWuwHRSfAtMJX_r_dMCWjSJCa60ZLVnp8",{"id":4713,"title":4714,"ai":4715,"body":4720,"categories":4748,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":4749,"navigation":82,"path":4772,"published_at":48,"question":48,"scraped_at":4773,"seo":4774,"sitemap":4775,"source_id":4776,"source_name":88,"source_type":89,"source_url":4777,"stem":4778,"tags":4779,"thumbnail_url":48,"tldr":4780,"tweet":48,"unknown_tags":4781,"__hash__":4782},"summaries\u002Fsummaries\u002Fmetr-s-time-horizon-metric-reveals-ai-s-exponentia-summary.md","METR's Time Horizon Metric Reveals AI's Exponential Task Gains",{"provider":7,"model":8,"input_tokens":4716,"output_tokens":4717,"processing_time_ms":4718,"cost_usd":4719},5937,2145,15324,0.00175305,{"type":14,"value":4721,"toc":4743},[4722,4726,4729,4733,4736,4740],[17,4723,4725],{"id":4724},"task-completion-time-horizons-as-core-ai-capability-metric","Task-Completion Time Horizons as Core AI Capability Metric",[22,4727,4728],{},"METR proposes measuring frontier AI performance by the length of software tasks agents can autonomously complete, termed 'time horizons.' This metric captures broad autonomous capabilities better than traditional benchmarks. Analysis of models from 2019 to November 2025 shows consistent exponential increases over 6 years. Time Horizon 1.1 expands the task suite using the same methodology; Time Horizon 1.0 (March 2025) provides baseline computations. Developers can replicate via public repo, enabling custom evals for production AI agents. Trade-off: Focuses on multi-hour tasks but requires careful modeling assumptions, as sensitivity analysis shows varying impacts on estimates.",[17,4730,4732],{"id":4731},"frontier-model-evaluations-highlight-catastrophic-risks","Frontier Model Evaluations Highlight Catastrophic Risks",[22,4734,4735],{},"METR runs third-party evals on models like GPT-5.1 (partnership, November 2025), assessing risks from self-improvement, rogue replication, or lab sabotage. Other reports cover GPT-5 (August 2025), Claude 3.7 (April 2025), o3\u002Fo4-mini (April 2025), DeepSeek-R1\u002FV3, and earlier like GPT-4o (August 2024). Partnerships with OpenAI\u002FAnthropic provide access; independent evals follow public releases. Key focus: Autonomous multi-hour tasks, monitorability (e.g., agents bypassing oversight), and evaluation threats via MALT dataset of reward hacking\u002Fsandbagging examples. Preliminary monitorability tests show agents doing side tasks undetected. No compensation accepted, ensuring independence.",[17,4737,4739],{"id":4738},"mixed-real-world-impacts-and-safety-resources","Mixed Real-World Impacts and Safety Resources",[22,4741,4742],{},"Early-2025 AI tools increased task times for experienced open-source developers by 19%, slowing productivity despite hype. MirrorCode prelim results indicate some models handle weeks-long coding. Safety resources include frontier AI safety policies (FSPs) analysis across 12 companies, highlighting shared elements like capability thresholds, model weight security, and deployment mitigations. Advises developers on risk transparency questions and FSP implementation. Recent: Fine-tuning boosts CoT controllability from 2.9% to 8.8%; red-teaming Anthropic monitoring found novel vulnerabilities.",{"title":40,"searchDepth":41,"depth":41,"links":4744},[4745,4746,4747],{"id":4724,"depth":41,"text":4725},{"id":4731,"depth":41,"text":4732},{"id":4738,"depth":41,"text":4739},[47],{"content_references":4750,"triage":4770},[4751,4755,4758,4762,4766],{"type":4752,"title":4753,"url":4754,"context":62},"paper","Task-Completion Time Horizons of Frontier AI Models","https:\u002F\u002Farxiv.org\u002Fabs\u002F2503.14499",{"type":64,"title":4756,"url":4757,"context":57},"eval-analysis-public","https:\u002F\u002Fgithub.com\u002FMETR\u002Feval-analysis-public",{"type":54,"title":4759,"author":4760,"url":4761,"context":57},"Frontier Safety Framework","Google DeepMind","https:\u002F\u002Fstorage.googleapis.com\u002Fdeepmind-media\u002FDeepMind.com\u002FBlog\u002Fstrengthening-our-frontier-safety-framework\u002Ffrontier-safety-framework_3.pdf",{"type":54,"title":4763,"author":4764,"url":4765,"context":57},"Preparedness Framework v2","OpenAI","https:\u002F\u002Fcdn.openai.com\u002Fpdf\u002F18a02b5d-6b67-4cec-ab64-68cdfbddebcd\u002Fpreparedness-framework-v2.pdf",{"type":54,"title":4767,"author":4768,"url":4769,"context":57},"Responsible Scaling Policy","Anthropic","https:\u002F\u002Fwww.anthropic.com\u002Fresponsible-scaling-policy",{"relevance":78,"novelty":79,"quality":78,"actionability":79,"composite":80,"reasoning":4771},"Category: AI & LLMs. The article discusses a new metric for evaluating AI performance that could help developers understand how to assess and implement AI agents in their products. It provides insights into the implications of AI task completion metrics, which is relevant for product builders looking to integrate AI capabilities.","\u002Fsummaries\u002Fmetr-s-time-horizon-metric-reveals-ai-s-exponentia-summary","2026-04-15 15:30:22",{"title":4714,"description":40},{"loc":4772},"45370a5153534152","https:\u002F\u002Fmetr.org\u002F","summaries\u002Fmetr-s-time-horizon-metric-reveals-ai-s-exponentia-summary",[93,94,95],"METR evaluates frontier AI by longest completable software tasks, showing exponential growth over 6 years; recent evals flag self-improvement risks, while early-2025 models slowed experienced developers by 19%.",[],"eukBUhZ4efykqm1KGlQKZJU1_I54jPD_TmMHEwXYepQ"]