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Weekly recap: News

13 Jul to 19 Jul 2026 123 articles

AI Models and Frontier Releases

  • Moonshot AI’s Kimi K3 (2.8T parameters, 50B active) launched as the largest open-⁠weights model to date, claiming Opus 4.8-⁠class performance at Sonnet 5 pricing; overwhelming demand forced Moonshot to suspend new subscriptions and split plans into Kimi Membership and Kimi Code Membership [1][2][3][4][5][6].
  • Anthropic’s Claude Fable 5 emerged as a top performer across finance, frontend/backend, and NP-⁠hard problem benchmarks; it is now permanently available in Max/Team Premium plans at 50% of limits, driven by competitive pressure from GPT-⁠5.6 Sol and Kimi K3 [7][1][8][9][10][11][12].
  • OpenAI’s GPT-⁠5.6 Sol is highlighted as a cost-⁠effective workhorse for coding and agentic tasks with strong long-⁠horizon execution; usage caps were temporarily removed, and it was used to close a 30-⁠year gap in convex optimization verified in Lean [1][13][14][15][16].
  • Thinking Machines released Inkling (975B total, 41B active MoE) with 1M-⁠token context across text, images, audio, and video, plus an Apache 2.0 Inkling-⁠Small (12B active) variant [17][18][19].
  • Google delayed Gemini 3.5 Pro by months due to unmet internal coding goals, while Nvidia released Cosmos 3 Edge (physical world model) and Nemotron 3 Embed (8B model ranking #1 on RTEB for agentic retrieval) [20][21][22][23][24].
  • On-⁠device AI advances: Apple is in talks with PrismML to compress models like Qwen from 54GB to <4GB for on-⁠iPhone inference; PrismML announced Bonsai 27B (1-⁠bit/ternary weights, 3.9–5.9GB); Google’s Gemma 4 is optimized for Pixel 10's TPU for offline multimodal use [25][26][27].

LLM Tooling, Agents, and Evals

  • Agentic engineering matures: "loop engineering" shifts from manual prompting to building systems/loops; new disciplines emerge (evals, context engineering, harness engineering, memory, sandbox/platform engineering); self-⁠improving agent harnesses let agents analyze traces and validate updates autonomously [28][29][30][31][32][33].
  • Agent memory remains unsolved: proactive memory using separate memory agents improves Terminal-⁠Bench 2.0 and τ2-⁠Bench pass rates; proposed pipelines use ontologies, LLM-⁠based graph extraction, and MCP-⁠served queries; Engram offers SQLite-⁠based persistent memory for coding agents [34][35][36][37].
  • Large-⁠scale AI code migrations: Bun’s Zig→Rust rewrite completed in 11 days using Fable ($165K API spend); Firefox compiled to WebAssembly via AI-⁠assisted porting; Anthropic details a six-⁠step Claude Code migration process [38][39][40][41].
  • Agent security and sandboxing: Perplexity SPACE offers secure ephemeral sandboxes; Clawk creates disposable VMs with network allow-⁠lists; NVIDIA OpenShell provides kernel-⁠level sandboxing; Tracebit’s "context bombs" embed canary strings that dropped full admin access from 57% to 5% [42][43][44][45][46].
  • Evaluation benchmarks evolve: Text-⁠to-⁠SQL benchmarks contain incorrect gold queries; CursorBench reveals gaps between public benchmarks and real-⁠world tasks; WANDR evaluates wide/deep data-⁠collection; Long-⁠Horizon Terminal-⁠Bench tests 46 stateful tasks with hidden verifiers; Schema harness achieves 99% on ARC-⁠AGI-⁠3 [47][48][49][50][51].
  • GitHub Copilot expands: code review improved via diff narrowing (20% cost cut); /security-review scans in-⁠flight changes; BYOK with Claude agent support for JetBrains; Fix with Copilot on mobile; usage metrics API adds repo-⁠level reporting and daily active user/token breakdowns [52][53][54][55][56][57].
  • Model routing and cost optimization: IBM Research finds routing depends on more than pricing; tokenizer differences add ~30% more tokens on Anthropic vs. prior versions and 73% more for TypeScript on Claude vs. GPT; a specialized workflow cut tokens 94% and latency 87% by compiling NL skills into deterministic code [58][59][60].
  • AI red-⁠teaming: OpenAI built GPT-⁠Red, an automated "super-⁠hacker" for prompt-⁠injection testing against internal models and live agents; Binarly shows LLMs accelerate EDR evasion techniques [61][62][63][64].

MLOps, Data Engineering, and Infrastructure

  • Apache Iceberg adoption accelerates: Grab achieved 10x query speedups, 95% lower S3 API costs, and 50% compute savings migrating Hive Parquet to Iceberg; Arcesium migrated 170TB/15T records to Iceberg on S3 with DuckDB, cutting ingestion 80% and infra ~40%; Lakekeeper’s Generic Table API governs non-⁠Iceberg assets [65][66][67].
  • Orchestration consolidation: Prefect acquired Dagster to merge dynamic workflows with partitioning/lineage/cataloging; Apache Airflow added AI-⁠driven controls (semantic schema validation, LLM-⁠based retry decisions); Apache Spark 4.2 introduced governed metric views, vector similarity search, CDC support, and millisecond-⁠latency streaming [68][69][70][71].
  • Databricks Feature Views (public preview) define features once with auto-⁠handled training/real-⁠time serving and Unity Catalog governance; OSI semantic layer spec became Apache Ossie (Incubating) [72][73].
  • Production AI at scale: Microsoft Foundry serves 20M+ users with 6x agent growth YTD; Netflix built a real-⁠time service topology system handling millions of flow records/sec; Meta considers capping per-⁠engineer AI token budgets as costs approach salaries [74][75][76][77].
  • GPU and infra pressure: New York imposed a one-⁠year ban on new ≥50MW AI data centers; HAMi became a CNCF incubating project for Kubernetes GPU virtualization [78][79].

DevOps, Cloud, and Developer Tools

  • Cloudflare: Precursor detects agentic behavior via continuous client-⁠side signals; Smart Tiered Cache improved for public cloud regions; acquired Arroyo (Rust SQL stream processor) for Cloudflare Pipelines; provides OpenAI network signals covering ~20% of web [80][81][82][83][84].
  • GitHub platform updates: Code Quality licensing enters public preview (paid launch July 20, 2026); advanced search for Projects; PR archiving; Xcode 27 runner image preview; Dependabot defaults to 3-⁠day cooldown for non-⁠security updates [85][86][87][88][89][90].
  • Database and runtime tooling: Turso Limbo (Rust PostgreSQL-⁠compatible DB); Lobste.rs migrated MariaDB→SQLite with halved VPS costs; Polars benchmarks show distributed setups only outperform on I/O-⁠bound queries; Rust 1.97.1 fixes LLVM miscompilation [91][92][93][94].
  • Bun’s Rust port ships in Claude Code since June 17 v2.1.181, improving Linux startup ~10% with no user-⁠visible disruption; independently verified with 563 Rust source files embedded; released as Bun canary [95][96].
  • OpenAI launched Codex Micro, a physical keypad for controlling Codex agents; Codex usage surged 10x in six months to 7M users [97][98][99].

Security and Vulnerabilities

  • AI-⁠specific threats: "Ghostcommit" hides prompt injection in images to trick agents into leaking secrets (Cursor vulnerable, Claude Code detected it); Hugging Face disclosed an autonomous AI agent exploiting code-⁠execution paths in dataset processing for credential harvesting and lateral movement; xAI Grok Build CLI transmitted repos verbatim to GCS, later open-⁠sourced with directory uploads disabled [100][101][102][103][104].
  • OAuth and identity attacks: Microsoft Entra ID client ID spoofing enables stealthy credential validation without successful sign-⁠in logs; ShinyHunters abused OAuth in Salesforce via vishing; Microsoft Entra ID will default to passkeys September 2026, retiring SMS/voice by February 2027 [105][106][107][108].
  • Critical vulnerabilities: Zoom account takeover (CVSS 9.8); ServiceNow pre-⁠auth RCE via GlideRecord; six U-⁠Boot flaws allowing code execution via malicious FIT images; Cursor IDE auto-⁠executes malicious binaries without user interaction (unfixed for 7 months) [109][110][111][112].
  • Supply-⁠chain and malware: Compromised Injective SDK npm package exfiltrates wallet keys; ModHeader extension (1.6M installs) removed for dormant fingerprinting code; Datadog GuardDog 3.0 scans malicious PyPI/npm packages; CISA’s own GitHub leak exposed AWS GovCloud admin keys for months [113][114][115][116].
  • Apple sued OpenAI alleging solicitation of Apple trade secrets from job candidates and use with manufacturing partners, seeking injunctions and IP return [117][118][119].

AI in Society and Human Factors

  • A multi-⁠university study found AI advice dramatically degraded human judgment: willingness to say "I don’t know" collapsed from 44% to 3%, accuracy dropped from 27% to 9%, while confidence rose from 30% to 76%, demonstrating "cognitive surrender" even when the AI is systematically wrong [120].
  • An essay on "AI psychosis" argues large organizations mandate AI strategies without leaders using AI tools, while engineers perform AI busywork to satisfy internal token-⁠leaderboard metrics [121][122].
  • Kaiser Permanente triage nurses report AI and workplace surveillance degrading patient care, making AI a contract-⁠negotiation issue for 25,000 California nurses [123].
Sources
  1. Anthropic Extended Claude Fable 5 Access Again simonwillison.net
  2. Kimi K3, and what we can still learn from the pelican benchmark simonwillison.net
  3. [AINews] Kimi K3 2.8T-⁠A50B: the largest open model ever released; Opus 4.8-⁠class at Sonnet 5 pricing latent.space
  4. Kimi K3 kimi.com
  5. [AINews] not much happened today latent.space
  6. Moonshot AI suspends new subscriptions due to Kimi K3 demand hnrss.org
  7. Working at the frontier: How Hebbia builds AI for financial diligence that can’t miss a detail claude
  8. Basecamp Bench smw.ai
  9. Working at the frontier: Why Base44 trusts Claude Fable 5 with their most challenging engineering work claude
  10. Working with Claude Fable 5 in Claude Cowork claude
  11. Claude make Fable 5 permanent simonwillison.net
  12. Fable 5 vs. GPT-⁠5.6 Sol on an NP-⁠Hard Problem: Does /goal help? hnrss.org
  13. OpenAI temporarily relaxes GPT-⁠5.6 Sol usage limits bleepingcomputer.com
  14. Better Call Sol The Workhorse thezvi.substack.com
  15. Better Call Sol: The Workhorse thezvi.wordpress.com
  16. GPT-⁠5.6 used a prompt to close a 30-⁠year gap in convex optimization hnrss.org
  17. [AINews] Thinky’s Inkling: 975B-⁠A41B multimodal, new best American Apache 2.0 open model (with Inkling-⁠Small, 276B-⁠A12B) latent.space
  18. Thinking Machines Releases First Open Model thinkingmachines.ai
  19. Inkling: Our open-⁠weights model simonwillison.net
  20. NVIDIA Nemotron 3 Embed Ranks #1 Overall on RTEB, Advancing Agentic Retrieval huggingface.co
  21. Google Gemini Launch Delayed as Tech Falls Short of Internal Goals bloomberg.com
  22. Nvidia unveils new AI model and expands Japan’s physical AI ecosystem cnbc.com
  23. Gemini 3.5 Pro Reportedly Faced Delays cnbc.com
  24. NVIDIA Nemotron 3 Embed huggingface.co
  25. Apple in talks with startup that shrinks AI models to run on an iPhone cnbc.com
  26. Google announces Gemma 4 optimized for the Pixel 10's TPU 9to5google.com
  27. Announcing Bonsai 27B: The First 27B-⁠Class Model to Run on a Phone prismml.com
  28. What is “loop engineering?” newsletter.pragmaticengineer.com
  29. AI Engineer World’s Fair 2026: The Runtime Is Where Agent Trust Is Won docker.com
  30. 5 Trends That Defined AI Engineering at World’s Fair 2026 latent.space
  31. A primer on self-⁠improving agent harnesses bdtechtalks.substack.com
  32. The first experimental evidence of recursive self-⁠improvement threadreaderapp.com
  33. Towards a Harness That Can Do Anything eardatasci.github.io
  34. Proactive Memory for Long-⁠Horizon Agents arxiv 2607.08716
  35. OpenWiki Brains: Proactive Memory for AI Agents langchain.com
  36. Engram github.com
  37. Nobody Has Cracked Agent Memory decodingai.com
  38. How Anthropic runs large-⁠scale code migrations with Claude Code claude
  39. Firefox in WebAssembly simonwillison.net
  40. What can we learn from Bun’s rapid Rust rewrite with AI? blog.pragmaticengineer.com
  41. How Anthropic runs large-⁠scale code migrations with Claude Code claude.com
  42. Clawk github.com
  43. Context Bombs: stopping AI attackers in their tracks agentic.tracebit.com
  44. Now, Defenders Are Embracing the Prompt Injection Too arstechnica.com
  45. Secure Sandboxes for Agents perplexity.ai
  46. NVIDIA OpenShell Secures the Agent. Who Governs the Fleet? tigera.io
  47. The benchmark grading every text-⁠to-⁠SQL model has wrong answers in its key sqlsure.ai
  48. Testing Agents on Long-⁠Horizon Terminal Work github.com
  49. WANDR Benchmark: Evaluating Research Agents That Must Search Wide and Deep research.perplexity.ai
  50. Working at the frontier: How Cursor knew Claude Fable 5 was ready for the hardest 1% of problems claude
  51. Schema x.com
  52. Better tools made Copilot code review worse. Here’s how we actually improved it github.blog
  53. GitHub Copilot in Visual Studio: June update github.blog
  54. GitHub Copilot for JetBrains expands BYOK capabilities github.blog
  55. GitHub Mobile: Fix pull request comments with Copilot cloud agent github.blog
  56. Repository-⁠level GitHub Copilot usage metrics generally available github.blog
  57. GitHub Copilot app now available in the usage metrics API github.blog
  58. The Same TypeScript Costs 73% More Tokens on Claude Than GPT playcode.io
  59. How I Cut an AI Agent’s Token Use by 94% vivekhaldar.com
  60. Model Routing Is Simple. Until It Isn’t. huggingface.co
  61. Meet GPT-⁠Red: an LLM super-⁠hacker OpenAI built to make its models safer technologyreview.com
  62. GPT-⁠Red: Unlocking Self-⁠Improvement for Robustness openai.com
  63. GPT‑Red: Unlocking Self-⁠Improvement for Robustness openai.com
  64. Accelerating EDR Evasion with LLM-⁠Driven Analysis specterops.io
  65. Modern Data Warehousing at Scale: Arcesium’s Migration to DuckDB and Iceberg medium.com
  66. Lakekeeper Generic Table API Design medium.com
  67. Scaling Grab’s Data Lake: Our journey to Apache Iceberg adoption engineering.grab.com
  68. How Airflow is using AI to make data engineering more resilient, not more complex blog.dataengineerthings.org
  69. Prefect is Acquiring Dagster dagster
  70. Prefect just bought Dagster, another big Airflow rival, and it’s not a data pipeline story thenewstack.io
  71. Introducing Apache Spark 4.2 databricks.com
  72. OSI is now Apache Ossie (Incubating) dbt.com
  73. Introducing Feature Views databricks.com
  74. How Microsoft Ships AI Agents at Enterprise Scale blog.bytebytego.com
  75. Meta’s Adam Mosseri says AI token budgets could soon be capped per engineer techcrunch.com
  76. Building Service Topology at Scale: Architecture, Challenges, and Lessons Learned netflixtechblog.com
  77. Building Service Topology at Scale: Architecture, Challenges, and Lessons Learned netflixtechblog.com
  78. New York becomes first US state to impose AI data center ban cnbc.com
  79. HAMi becomes a CNCF incubating project cncf.io
  80. Introducing Precursor: detecting agentic behavior with continuous client-⁠side signals blog.cloudflare.com
  81. Improving Smart Tiered Cache for public cloud regions blog.cloudflare.com
  82. Cloudflare gives OpenAI network signals covering 20% of the web ppc.land
  83. Introducing Precursor: detecting agentic behavior with continuous client-⁠side signals blog.cloudflare.com
  84. Arroyo is joining Cloudflare arroyo.dev
  85. GitHub Code Quality license estimate in public preview github.blog
  86. Quoting GitHub Changelog simonwillison.net
  87. Advanced search for Projects is generally available github.blog
  88. Repository admins can archive pull requests github.blog
  89. Xcode 27 runner image now in public preview github.blog
  90. Automating cross-⁠repo documentation with GitHub Agentic Workflows github.blog
  91. Benchmarking Single Node vs Distributed pola.rs
  92. Announcing Rust 1.97.1 blog.rust-⁠lang.org
  93. Turso is building a modern version of Postgres in Rust turso.tech
  94. lobste.rs is now running on SQLite simonwillison.net
  95. Claude Code uses Bun written in Rust now simonwillison.net
  96. Claude Code uses Bun written in Rust now hnrss.org
  97. [AINews] Codex usage up >10x in 6 months to 7M users, +1M in the past ~day; did Codex overtake Claude Code?? latent.space
  98. OpenAI launches a physical keypad for controlling agents engadget.com
  99. Supply Co. x Work Louder openai.com
  100. ‘Ghostcommit' Hides Prompt Injection in Images to Fool AI Agents and Steal Secrets bleepingcomputer.com
  101. What xAI Grok Build CLI actually sends to xAI gist.github.com
  102. xai-⁠org/grok-⁠build, now open source simonwillison.net
  103. The Pulse: Grok’s CLI caught uploading all your local files to the cloud newsletter.pragmaticengineer.com
  104. Security incident disclosure: July 2026 huggingface.co
  105. OAuth Client ID Spoofing Lets Attackers Validate Stolen Microsoft Entra Credentials thehackernews.com
  106. Defending SaaS-⁠based applications against ShinyHunters OAuth abuse microsoft.com
  107. Microsoft Entra ID Gets Passkeys Default Authentication Starting September bleepingcomputer.com
  108. OAuth Client ID Spoofing: Why Fake Client IDs Are Gaining Traction for Stealthy Enumeration proofpoint.com
  109. Smashing the ServiceNow Sandbox – Pre Authentication RCE slcyber.io
  110. Cursor 0day: When Full Disclosure Becomes the Only Protection Left mindgard.ai
  111. Microsoft’s Secure Boot has been broken for a decade and no one noticed until now arstechnica.com
  112. Zoom Warns of Critical Account Takeover Vulnerability bleepingcomputer.com
  113. Compromised Injective SDK npm Package Exfiltrates Wallet Keys and Mnemonics socket.dev
  114. Introducing GuardDog 3.0: A new rules engine, transparent sandboxing, and more securitylabs.datadoghq.com
  115. Lessons Learned from CISA’s Recent GitHub Leak krebsonsecurity.com
  116. Google and Microsoft Pull ModHeader With 1.6 Million Installs After Dormant Collector Found thehackernews.com
  117. Apple Sues OpenAI, Accusing It of Stealing Company Secrets nytimes.com
  118. Apple Sued OpenAI techcrunch.com
  119. Apple’s Lawsuit Threatens to Disrupt OpenAI’s Bid to Rival the iPhone bloomberg.com
  120. AI advice made people 3x less accurate but 2x confident, researchers found hnrss.org
  121. AI Mania Is Eviscerating Global Decision-⁠Making simonwillison.net
  122. AI Mania Is Eviscerating Global Decision-⁠Making hnrss.org
  123. Kaiser nurses say AI, surveillance are making their jobs and patient care worse hnrss.org

Weekly recap: Papers

13 Jul to 19 Jul 2026 63 papers

Reasoning, Architectures, and Training

  • T²MLR adds temporal middle-⁠layer recurrence to Transformers by caching and fusing previous-⁠token representations across decoding steps, enabling persistent intermediate reasoning states with minimal overhead, retrofittable to pretrained models [1, 2, 3, 4].
  • Mask-⁠Aware Policy Gradients formalizes Masked Diffusion LM generation as a two-⁠stage MDP (token and masking decisions), achieving SOTA on GSM8K (87.1%) and MBPP (53.4%) [5, 6, 7].
  • On-⁠Policy Delta Distillation (OPD²) transfers reasoning capabilities via a "delta signal" (teacher minus base model) rather than direct imitation, improving transfer across math, science, and coding [8, 9].
  • Statistical self-⁠consistency tests reveal LLM in-⁠context estimates deviate from the law of total probability when recursively partitioning populations and aggregating verbalized conditionals [10, 11, 12].
  • In-⁠Place Tokenizer Expansion upgrades pretrained LLM tokenizers by continuing BPE merges on multilingual corpora, preserving source tokens and reducing fragmentation for newly prioritized languages without retraining [13, 14, 15].

Agentic Systems and Evaluation

  • SearchOS externalizes open-⁠domain search progress into persistent state (Frontier Task, Evidence Graph, Coverage Map, Failure Memory), preventing repetitive loops in long-⁠horizon multi-⁠agent tasks [16, 17, 18].
  • Counterfactual Trajectory Utility (CTU) shows static retrieval utility poorly predicts causal utility in multi-⁠step agentic search; documents often matter for enabling future actions rather than immediate answers [19, 20, 21].
  • OmniaBench benchmarks general AI agents across 90+ ToC/ToB/ToE domains with hierarchical taxonomies and executable environments [22, 23, 24].
  • E3 introduces task-⁠aware execution-⁠scope estimation for LLM agents (Agent Cognitive Redundancy Ratio), matching SOTA success (100%) on MSE-⁠Bench while reducing cost by 85%, tokens by 91%, and inspected files by 92% [25].
  • Cost-⁠aware security agent evaluation shows offensive CTF tasks scale with compute while defensive SOC success depends more on tooling and heuristics [26, 27, 28].

Multimodal and Vision-⁠Language Models

  • SceneBind proposes an omni-⁠modal scene representation combining global semantic embeddings with object-⁠centric semantic-⁠spatial slots across vision, audio, and language, enabling cross-⁠modal retrieval and grounding with a new binaural audio-⁠visual dataset [29, 30, 31].
  • Symbal detects systematic misalignments in MLLM-⁠generated captions tied to visual features and introduces SymbalBench (1.7M image-⁠text pairs across natural/medical domains) [32, 33, 34].
  • MM-⁠IssueLoc benchmarks repository-⁠level issue localization with visual evidence (652 issue-⁠PR instances, 23 languages), showing existing systems struggle to leverage visual inputs reliably [35, 36, 37].
  • SciVis Literacy Benchmark evaluates six MLLMs on 49 scientific visualization tasks against 485 humans, finding highly uneven performance; closed-⁠source models outperform open-⁠source but remain below human baselines on some tasks [38, 39, 40].
  • VLMs often encode correct counts internally but misalign them in outputs; detector-⁠guided self-⁠correction and causal steering can realign representations to improve counting accuracy [41].

Safety, Security, and Trustworthiness

  • PRISM probes hidden states to separate content danger from physical danger in LLM planners, achieving 86–88% accuracy on SafeAgentBench with lower false-⁠positive rates than LLM judges, and introduces PhysicalSafetyBench-⁠1K [42, 43, 44].
  • BadWAM exposes World-⁠Action Drift Attacks on World-⁠Action Models, where small visual perturbations misalign imagined futures with executed actions, breaking assumed safety benefits of world-⁠model coupling [45, 46, 47].
  • Pretraining data poisoning demonstrates feasibility of injecting harmful content via public discussion interfaces (computational propaganda) and introduces HalfLife to estimate adversarial content inclusion post-⁠crawling/curation [48, 49, 50].
  • Deceptive grounding in clinical RAG exposes entity attribution failures where models cite correct evidence for the wrong entity, affecting 8–87% of cases under adversarial conditions [51].

Robotics and Embodied AI

  • RoboTTT scales visuomotor context to 8K timesteps via Test-⁠Time Training, three orders of magnitude beyond SOTA, unlocking one-⁠shot in-⁠context imitation, on-⁠the-⁠fly policy improvement, and long-⁠horizon robustness without added inference latency [52, 53, 54].
  • Online Neural Space-⁠Time Memory decouples memory updates from per-⁠frame application for dynamic novel view synthesis, achieving real-⁠time performance with periodic updates and cross-⁠view attention [55, 56].

Healthcare and Domain-⁠Specific Applications

  • AutoSynthesis is an end-⁠to-⁠end multi-⁠agent system for automated meta-⁠analysis, performing literature retrieval, screening, effect-⁠size extraction, random-⁠effects pooling, and PRISMA-⁠aligned reporting [57, 58, 59].
  • MedFailBench is a clinician-⁠built, open-⁠source benchmark labeling medical AI errors by severity (1–5) and safety gate type (e.g., missed escalation, evidence fabrication), providing a failure atlas rather than measuring correct answers [60, 61, 62].
  • Evo 2 probes detect biosecurity features (AMR, virulence) from frozen layer-⁠26 activations with high ROC-⁠AUC (up to 0.977 for AMR), demonstrating linearly accessible signal for metagenomic screening [63].
Sources
  1. Self-⁠Guided Test-⁠Time Training for Long-⁠Context LLMs arxiv cs.CL
  2. T^2MLR: Transformer with Temporal Middle-⁠Layer Recurrence arxiv cs.CL
  3. T^2MLR: Transformer with Temporal Middle-⁠Layer Recurrence arxiv cs.CL
  4. T^2MLR: Transformer with Temporal Middle-⁠Layer Recurrence arxiv cs.CL
  5. Mask-⁠Aware Policy Gradients for Diffusion Language Models arxiv cs.CL
  6. Mask-⁠Aware Policy Gradients for Diffusion Language Models arxiv cs.CL
  7. Mask-⁠Aware Policy Gradients for Diffusion Language Models arxiv cs.CL
  8. On-⁠Policy Delta Distillation arxiv cs.CL
  9. On-⁠Policy Delta Distillation arxiv cs.CL
  10. Partition, Prompt, Aggregate: Statistical Self-⁠Consistency in Language Models arxiv cs.CL
  11. Partition, Prompt, Aggregate: Statistical Self-⁠Consistency in Language Models arxiv cs.CL
  12. Partition, Prompt, Aggregate: Statistical Self-⁠Consistency in Language Models arxiv cs.CL
  13. In-⁠Place Tokenizer Expansion for Pre-⁠trained LLMs arxiv cs.CL
  14. In-⁠Place Tokenizer Expansion for Pre-⁠trained LLMs arxiv cs.CL
  15. In-⁠Place Tokenizer Expansion for Pre-⁠trained LLMs arxiv cs.CL
  16. SearchOS-⁠V1: Towards Robust Open-⁠Domain Information-⁠Seeking Agent Collaboration arxiv cs.AI
  17. SearchOS-⁠V1: Towards Robust Open-⁠Domain Information-⁠Seeking Agent Collaboration arxiv cs.AI
  18. SearchOS-⁠V1: Towards Robust Open-⁠Domain Information-⁠Seeking Agent Collaboration arxiv cs.AI
  19. Bridge Evidence: Static Retrieval Utility Does Not Predict Causal Utility in Multi-⁠Step Agentic Search arxiv cs.CL
  20. Bridge Evidence: Static Retrieval Utility Does Not Predict Causal Utility in Multi-⁠Step Agentic Search arxiv cs.CL
  21. Bridge Evidence: Static Retrieval Utility Does Not Predict Causal Utility in Multi-⁠Step Agentic Search arxiv cs.CL
  22. OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios arxiv cs.CL
  23. OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios arxiv cs.CL
  24. OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios arxiv cs.CL
  25. Do AI Agents Know When a Task Is Simple? Toward Complexity-⁠Aware Reasoning and Execution arxiv cs.CL
  26. Beyond Success Rate: Cost-⁠Aware Evaluation of Offensive and Defensive Security Agents arxiv cs.AI
  27. Beyond Success Rate: Cost-⁠Aware Evaluation of Offensive and Defensive Security Agents arxiv cs.AI
  28. Beyond Success Rate: Cost-⁠Aware Evaluation of Offensive and Defensive Security Agents arxiv cs.AI
  29. SceneBind: Binding What and Where Across Vision, Audio and Language arxiv cs.AI
  30. SceneBind: Binding What and Where Across Vision, Audio and Language arxiv cs.AI
  31. SceneBind: Binding What and Where Across Vision, Audio and Language arxiv cs.AI
  32. Symbal: Detecting Systematic Misalignments in Model-⁠Generated Captions arxiv cs.AI
  33. Symbal: Detecting Systematic Misalignments in Model-⁠Generated Captions arxiv cs.AI
  34. Symbal: Detecting Systematic Misalignments in Model-⁠Generated Captions arxiv cs.AI
  35. MM-⁠IssueLoc: A Controlled Benchmark for Evaluating Visual Evidence in Multimodal Repository-⁠Level Issue Localization arxiv cs.AI
  36. MM-⁠IssueLoc: A Controlled Benchmark for Evaluating Visual Evidence in Multimodal Repository-⁠Level Issue Localization arxiv cs.AI
  37. MM-⁠IssueLoc: A Controlled Benchmark for Evaluating Visual Evidence in Multimodal Repository-⁠Level Issue Localization arxiv cs.AI
  38. Benchmarking Multimodal Large Language Models for Scientific Visualization Literacy arxiv cs.CL
  39. Benchmarking Multimodal Large Language Models for Scientific Visualization Literacy arxiv cs.CL
  40. Benchmarking Multimodal Large Language Models for Scientific Visualization Literacy arxiv cs.CL
  41. The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs arxiv cs.LG
  42. When Words Are Safe But Actions Kill: Probing Physical Danger Beyond Text Safety in Hidden-⁠State Risk Space arxiv cs.AI
  43. When Words Are Safe But Actions Kill: Probing Physical Danger Beyond Text Safety in Hidden-⁠State Risk Space arxiv cs.AI
  44. When Words Are Safe But Actions Kill: Probing Physical Danger Beyond Text Safety in Hidden-⁠State Risk Space arxiv cs.AI
  45. BadWAM: When World-⁠Action Models Dream Right but Act Wrong arxiv cs.LG
  46. BadWAM: When World-⁠Action Models Dream Right but Act Wrong arxiv cs.LG
  47. BadWAM: When World-⁠Action Models Dream Right but Act Wrong arxiv cs.LG
  48. Pretraining Data Can Be Poisoned through Computational Propaganda arxiv cs.CL
  49. Pretraining Data Can Be Poisoned through Computational Propaganda arxiv cs.CL
  50. Pretraining Data Can Be Poisoned through Computational Propaganda arxiv cs.CL
  51. Deceptive Grounding: Entity Attribution Failure in Clinical Retrieval-⁠Augmented Generation arxiv cs.CL
  52. RoboTTT: Context Scaling for Robot Policies arxiv cs.LG
  53. RoboTTT: Context Scaling for Robot Policies arxiv cs.LG
  54. RoboTTT: Context Scaling for Robot Policies arxiv cs.LG
  55. Online Neural Space Time Memory for Dynamic Novel View Synthesis arxiv cs.LG
  56. Online Neural Space Time Memory for Dynamic Novel View Synthesis arxiv cs.LG
  57. AutoSynthesis: An agentic system for automated meta-⁠analysis arxiv cs.AI
  58. AutoSynthesis: An agentic system for automated meta-⁠analysis arxiv cs.AI
  59. AutoSynthesis: An agentic system for automated meta-⁠analysis arxiv cs.AI
  60. MedFailBench: A Clinician-⁠Built Open-⁠Source Benchmark for Medical AI Safety Boundary Inspection arxiv cs.CL
  61. MedFailBench: A Clinician-⁠Built Open-⁠Source Benchmark for Medical AI Safety Boundary Inspection arxiv cs.CL
  62. MedFailBench: A Clinician-⁠Built Open-⁠Source Benchmark for Medical AI Safety Boundary Inspection arxiv cs.CL
  63. Screening of Biosecurity Features in Metagenomic Data with Evo 2 Probes arxiv cs.LG