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Research

Latest Research on Megadose. AI news ranked, decayed, deduped.

44 recent items

  1. Artificial Analysis launches the Intelligence Index v5, with new coding and science benchmarks, built on private datasets; Claude Opus 5.5 (max) leads at 58 (@artificialanlys)
    Techmeme ·
    Artificial Analysis adds coding and science benchmarks and shifts most Intelligence Index evaluation to private datasets; Claude Opus 5.5 leads with 58.
  2. Dayjob: Tax – evaluating AI agents on 50 professional tax assignments
    HN · Agents ·
    Dayjob: Tax introduces a benchmark of 50 professional tax assignments to evaluate AI agents on specialized work.
  3. OpenAI announces three breakthroughs in computer science, math, and physics, including that the Exponential Time Hypothesis, a longstanding conjecture, is false (OpenAI)
    Techmeme ·
    OpenAI announces results across computer science, mathematics, and physics, including a disproof of the Exponential Time Hypothesis with major implications for computational complexity.
  4. EmbeddingGemma 2: Unified and Efficient Multimodal Representations
    HF Daily Papers ·
    EmbeddingGemma 2 unifies five modalities in one embedding space, outperforming specialist models and larger alternatives while supporting selective encoder loading.
  5. Timestral
    HF Daily Papers ·
    Four forecasting models achieve leading results across three benchmarks, combining decoupled horizon prediction with native support for known-future covariates.
  6. Scaling Laws for Tool-Use Agents via Controllable Environment Synthesis
    ArXiv · AI/CL/LG ·
    Experiments spanning 849 trained models and 458,752 tasks derive scaling laws linking synthetic tool-environment diversity and data composition to agent generalization.
  7. Timestral
    ArXiv · AI/CL/LG ·
    Timestral introduces four forecasting models whose two largest variants lead every metric on GIFT-Eval, TIME, and fev-bench.
  8. RSI Arena: Towards Recursive Self-Improvement with Human Feedback
    HF Daily Papers ·
    RSI Arena compares ten frontier models autonomously post-training assistants under fixed compute budgets, evaluating results through 20 benchmarks and blind human assessments.
  9. Ψ-0.6: Adaptive Streams of Thought in a Unified Vision-Language World Model
    HF Daily Papers ·
    Ψ-0.6 combines perception, language, geometry, and simulation through a shared token interface, enabling adaptive reasoning across physical-world tasks.
  10. FLORA: An Open Model Suite for Scaling Robotics Data Engines
    HF Daily Papers ·
    Flora introduces open robotics annotation models with leading captioning and reward benchmark results, supporting GR00T training at substantially lower cost than frontier APIs.
  11. Is Complex Agentic Memory Always Needed? Naive RAG Is Stronger Than We Thought
    HF Daily Papers ·
    Raw-RAG leads compared memory systems in six of seven benchmark-model settings, showing dense retrieval and reranking over raw histories can outperform complex agentic memory.
  12. Anthropic and Citrini Research use an internal Claude model to autonomously generate protein minibinders against five scorpion neurotoxins, testing 211 designs (Anthropic)
    Techmeme ·
    An internal Claude model autonomously designed protein minibinders targeting five scorpion neurotoxins, with 211 designs experimentally tested to assess its biological design capabilities.
  13. Automating ML for Science: Can Frontier Agents Climb Scientific Hills in the Wild?
    HF Daily Papers ·
    Agent4Sci evaluates scientific ML agents across 20 benchmarks; frontier agents improve published results on every benchmark, with Claude Opus averaging 10.4% relative improvement.
  14. Qwen-Audio-3.1-ASR Technical Report
    HF Daily Papers ·
    Qwen-Audio-3.1-ASR adds speaker-diarized transcription and broader audio understanding while retaining recognition across 30 languages and 16 Chinese dialects.
  15. Meta details Prometheus, its gigawatt-scale supercluster in Ohio, which will have ~1M GPUs at full scale and was used to train its Muse foundational models (Engineering at Meta)
    Techmeme ·
    Meta disclosed infrastructure details of its Ohio training supercluster, used for Muse models and designed to reach approximately one million GPUs.
  16. Epi: Towards a Persistent, Self-Improving Agent for Autonomous Research
    HF Daily Papers ·
    Épi combines persistent memory and independent review for research across sessions, reporting 120 verified mathematical records, including substantially tighter numerical bounds.
  17. RoboHarness: A Simple Harness Outperforms VLA and World Action Models
    HF Daily Papers ·
    RoboHarness gives coding agents visual-geometric robot controls, reporting that Qwen3.8-Flash-Next outperforms state-of-the-art vision-language-action models.
  18. A team of Gemini 4 Argon agents beats Minecraft
    HF Daily Papers ·
    Four Gemini 4 Argon agents autonomously defeated Minecraft’s Ender Dragon in 27 hours, writing and debugging 2,783 programs without researcher intervention.
  19. SlopCodeBench 10/2026 – Opus 5.5, Astra wins overall, xhigh considered harmful
    HN · GitHub AI ·
    SlopCodeBench’s October evaluation ranks Astra first overall and reports worse performance with the xhigh reasoning setting.
  20. Tev: Scaling Long-Horizon Agentic Environments with Dense Progress Rewards
    ArXiv · AI/CL/LG ·
    Tev-Gym introduces 1,170 verified long-horizon agent environments with dense progress rewards for open model training.
  21. SEAR: Self-Evolving Agentic Robotics
    ArXiv · AI/CL/LG ·
    SEAR benchmarks whether robot agents retain self-improved skills across new tasks, simulators, and real robots.
  22. PreciseCoder: Faithful and Generalizable Debugging Beyond Unit-Test Rewards
    ArXiv · AI/CL/LG ·
    PreciseCoder improves code-model debugging by rewarding semantically verified localized edits rather than relying only on unit-test pass rates.
  23. Steertuning Policies from a Few Human Videos
    ArXiv · AI/CL/LG ·
    Steertuning lets robots learn new tasks from five human demonstrations using a pretrained diffusion policy and two minutes of finetuning.
  24. Anthropic says new measures like preserved thinking in Fable 5.1 and Opus 5.5 have reduced data harvesting through distillation attacks by about 90% to 99% (Anthropic)
    Techmeme ·
    Anthropic detailed distillation defenses that reportedly cut model data-harvesting attacks by 90% to 99%.
  25. Anthropic researchers say small AI models may be months away from being able to self-replicate on IoT devices like smart ovens and off-brand Android TV boxes (Anthropic)
    Techmeme ·
    Anthropic reports experiments suggesting small models may soon self-replicate across low-end IoT devices, sharpening AI security threat models.
  26. A look at the math that OpenAI claims computes faster Fourier transforms
    HN · Transformers ·
    OpenAI-linked mathematical claims around faster Fourier transforms point to AI-assisted discovery of improved core algorithms.
  27. AI Models Can Provably Hide Arbitrary Capabilities
    HN · ArXiv ·
    A paper formalizes how models can conceal arbitrary capabilities, strengthening concerns about evaluating and auditing advanced systems.
  28. Elephant in the Fridge: Constant-Memory Frame Packing for Long Video Understanding
    HF Daily Papers ·
    FramePack-U compresses arbitrarily long videos into fixed-size visual representations for constant-memory video understanding.
  29. Apertus 1.5: From Open Text Models to Open Multimodal Reasoners
    HF Daily Papers ·
    Apertus 1.5 extends its fully open 8B and 70B models with image and audio understanding and a 262,144-token context window.
  30. AutoEnvScaling: Automating the Data Flywheel with Terminal Agents
    HF Daily Papers ·
    AutoEnvScaling automates RL environment generation for terminal agents, increasing valid-environment rates by up to 25 times.
  31. AI Models Can Provably Hide Arbitrary Capabilities
    ArXiv · AI/CL/LG ·
    A new backdoor construction shows models can hide arbitrary computations behind cryptographic triggers, challenging capability evaluation assumptions.
  32. Designing Protein Structures from Natural Language
    ArXiv · AI/CL/LG ·
    Prompteina generates all-atom protein structures from natural-language design objectives, trained on 1.8 million structures and over 50 million captions.
  33. ReplaySSM: Cache SSM Inputs, Not State
    ArXiv · AI/CL/LG ·
    ReplaySSM reduces SSM decoding state traffic by caching recent inputs, enabling cheaper rollback and output verification.
  34. MiMo-V2.6: Scaling Reinforcement Learning Towards Self-Improvement
    HF Daily Papers ·
    MiMo-V2.6 reports an omni-modal model family trained with large-scale reinforcement learning across long-context, coding, and multimodal environments.
  35. Caught in the Act: Probes Effectively Detect Sabotage and Catch Unverbalized Deception
    ArXiv · AI/CL/LG ·
    A new probe architecture detects sabotage and unverbalized deception in frontier-style agent monitoring settings with high reported AUC.
  36. Sharing AI progress in mathematics
    OpenAI Blog ·
    OpenAI reported frontier-model progress on open mathematics problems and released Lean formalizations and research details.
  37. Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses
    Microsoft Research AI ·
    Microsoft Research released Agent Lightning v1.0, a lightweight RL framework for training existing agents against real tool and task harnesses.
  38. Long-WAM: Scaling the Context of World-Action Models
    ArXiv · AI/CL/LG ·
    Long-WAM scales world-action model context for real-time robot control, improving RoboCasa success with autoregressive video pretraining.
  39. OpenAI says its internal model produced 372 math results, nearly all from a single prompt handed to a single AI agent; some might have taken multiple attempts (Joseph Howlett/Scientific American)
    Techmeme ·
    OpenAI disclosed an internal agentic model generated hundreds of math results, signaling stronger automated reasoning for frontier research workflows.
  40. OpenAI releases a range of new mathematical results produced by an internal model, with details like estimations of compute spent in terms of ChatGPT Pro usage (OpenAI)
    Techmeme ·
    OpenAI published new mathematical results generated by an internal model, highlighting advanced reasoning capability and compute efficiency signals.
  41. Real Long-Term Memory for AI: A 50-Million-Token Window That Is Faster and Cheaper Than Recompute
    HF Daily Papers ·
    Galahad-kv stores encrypted KV-cache blocks on NVMe, demonstrating 50-million-token recall with faster and cheaper loading than recomputation.
  42. RoboJEPA: Scaling Robotic Latent World Models
    ArXiv · AI/CL/LG ·
    RoboJEPA studies scaling laws for robotic latent world models across 12 embodiments, linking compute to planning performance.
  43. RobotWorld: Benchmarking Multimodal Agents for Robot Use Across Diverse Tasks and Embodiments
    ArXiv · AI/CL/LG ·
    RobotWorld benchmarks multimodal agents across simulated robotics tasks with executable success checks and interaction budgets.
  44. RoboQuest: Generalist Physical Agents that Search, Inspect and Test
    ArXiv · AI/CL/LG ·
    RoboQuest benchmarks embodied agents on physical exploration tasks requiring search, inspection, testing, and autonomous commitment.