Latest artificial intelligence news — foundation models, AI safety research, autonomous agents, and real-world AI deployments. Updated every 30 minutes from top AI publications.
A new analysis finds that long-horizon terminal-task benchmarks commonly measure task length by the number of turns a model needs to pass and difficulty by labels an LLM assigns during generation, and the authors report …
Alibaba's Qwen has marked Qwen-Omni Turbo Realtime, the qwen-omni-turbo-realtime model released on 2025-05-08, as deprecated with no announced retirement date. The model handles text, image and audio input with a 33k con…
Google added Imagen 3 and Imagen 3 Fast image-generation support to the Vertex AI in Firebase SDKs, letting web, Android, iOS, and Flutter apps call the models from client code via generateImages() while keeping API cred…
An October 8 analysis by Engram tested 6 memory systems on 1,536 LoCoMo questions, evaluating retrieval and answer accuracy separately, and found that retrieval success does not guarantee answer correctness. The Agent Me…
A preprint by Adam Manji, "Who Approved This?", documents that at one fintech startup, 71 of 263 non-dependency-bot merges into main during a period of enforced branch protection relied solely on approvals submitted by a…
Axion 1.0, a fully open agent foundation model, was released with a training recipe of only three stages: two lightweight supervised fine-tuning stages followed by reinforcement learning, with no dedicated midtraining st…
A Qwen3-8B-based long-context agent named MEMENTO, trained to manage its own context through compaction, raised book-level question-answering accuracy from 36.9% to 67.8% while never holding more than 20K tokens in conte…
A new arXiv paper (2611.00450v1) introduces ResMem, a parametric-memory method that cuts the storage retained for teacher construction by 94.7% versus an evaluated kNN pipeline on a Wikipedia subset. Across five question…
A participatory auditing workshop with 16 queer community members at EurIPS 2025 traced AI harms across four case studies to problem definition and data collection stages of the development pipeline, according to the arX…
All 11 commercial AI-text humanizers on a public leaderboard changed or dropped at least one checkable unit — numbers, dates, person and organization names, or quoted spans — in 35-65% of the October 2026 documents that …
A new arXiv paper (2611.00616v1) proposes Multi-Level Reasoning (MLR), a method that splits long chain-of-thought generation into a high-level planner that emits structured step descriptors and a low-level executor that …
A practitioner reports that speech input and output remain underused with AI systems, citing a personal workflow that pairs NVIDIA's Parakeet STT models with the FluidVoice app and a Claude Opus cleanup pass to make loca…
CodingCat.dev wired a 14-repository open-source stack into its production site and a local RTX 5090 video studio to build a 3D Vinyl-Toy AJ the Cat mascot, using Three.js, Blender and Blender MCP (ahujasid/mcp-for-blende…
CompSkill, a skill-retrieval method detailed in arXiv paper 2611.01115v1, raises SkillRet NDCG@10 from 64.0 to 70.9 at one eighth of the key dimension by indexing skills with learned 512-d keys and compiling matched same…
A study posted as arXiv:2611.00672v1 found that flipping the recorded decisions of near-copy past cases from DENY to APPROVE raised approval rates by roughly 30 to 55 percentage points in DeepSeek V4.1 Flash, GPT-5.6 Lun…
Researchers released Labadain-MedQA, a Tetun medical question-answering dataset of 39,077 QA pairs created by translating MedAlpaca's Medical Flashcards and WikiDoc Patient Information collections with Gemini 2.5 Flash, …
Researchers introduced HALO, a hierarchical evidence selection and reinforcement learning pipeline that jointly learns which evidence to read from longitudinal clinical records and which label source to acquire under a f…
A study of 20 large language models generating 44,782 stories in four languages found that a fine-tuning-free method called speculative naming cut character-name concentration by 95% on average, according to the arXiv pa…
A framework called CuriousTogether, introduced in arXiv paper 2611.01301v1, found that curiosity-guided multi-agent LLM interactions improved performance over non-curious settings on seven of eight tasks spanning reasoni…
An empirical study of 54 self-modification experiments across six language models found that whether and when a model stops rewriting its own system prompt is tied to model identity rather than the optimization mode assi…