AI news archive.
19,864 articles, newest first, from the outlets listed on the sources page.
- The DecodermodelsMicrosoft AI releases new transcription and text-to-speech models for voice agents
Microsoft AI has released MAI-Transcribe-2-Streaming, a new model for real-time transcription. The article Microsoft AI releases new transcription and text-to-speech models for voice agents appeared first on The Decoder…
- The DecodermodelsBusinesses are using more AI and paying less for it, Ramp AI Index shows
US companies are spending less on AI, according to the latest Ramp AI Index from Ramp economist Ara Kharazian. The article Businesses are using more AI and paying less for it, Ramp AI Index shows appeared first on The De…
- Guardian Technologycommunity‘It could get an orgasm out of a cabbage’: the best vibrators, tested
From bullets to rabbits to wand vibrators, our sexual wellbeing expert demystifies what’s available and rates her top 17 models (she tested 67) • 26 easy ways to spice up your sex life I could write here about how almost…
- Guardian TechnologypolicyRecent lobbyist for Palantir had key role in helping Andy Burnham become PM
Exclusive: Martha Dalton worked closely with Burnham’s team on byelection that secured his return to parliament A recent lobbyist for the controversial $450bn US tech company Palantir played a senior role in helping Andy…
- Tom's Guide AIsafetyYour iPhone secretly locks down after 72 hours — this forensic tool may have found a way around it
Consumer AI launches, tools, and practical coverage.
- Engadget AImodelsMeta wants people to build their own Muse gadgets, too
The company also created its own smart home device, the Muse Home Link
- LessWrongcommunityYou Are The Deer In The Subway.
Author's note: Despite being inactive here in a general sense, I like to try to post at least one essay on LW per year (usually in honor of LessOnline). I was unable to go to LessOnline this year, and my Defense Against…
- Guardian Technologycommunity‘If you can’t hold it, you don’t own it’: why media fans want to escape algorithms with CDs, DVDs and vinyl
People describe their return to physical media – whether to protect data, support artists, or retain control of one’s choices For some, it is the security of knowing they have a physical copy of their favourite films and…
- MIT Technology Review AIresearchDon’t be fooled—LLMs don’t reason
On an afternoon in Seoul in March 2016, I watched a program I helped build put a stone on the fifth line of a Go board in what looked like a gift to its human opponent. Move 37 in game two of the five-game match looked s…
- Ai2 Blogopen-sourceOpen-sourcing AstaBrief, the fast report-generation model in Asta
We’re releasing AstaBrief, an 8B open-weights model for generating cited scientific reports, available in Asta’s Fast mode or to download and run on your own infrastructure.
- The DecodermodelsBlack Forest Labs launches Flux 3 Image with multi-step editing that leaves the rest of your picture alone
Black Forest Labs has released Flux 3 Image, the image side of its Flux 3 model family. It supports multi-step edits without changing other parts of the image, lets users compose scenes with bounding boxes and up to ten…
- The Register AI + MLagentsPi coding agent pulls a 180 and adds MCP support
To maintain minimalism, a new harness layer has been folded into a separate component
- Latent Spacemodels[AINews] Pi 1.0, Pi Durable, and AIE NYC
the minimalist harness goes stable... and TypeScript!
- LessWrongsafetyImproving CoT Monitorability of Evaluation Awareness via Verbalization Training
This is joint work with Sahar Abdelnabi and David Krueger. It is mostly a linkpost for the paper (https://arxiv.org/abs/2609.36316) but also contains some additional commentary on CoT monitorability. TL;DR: Verbalization…
- Tom's Guide AImodels9 'slash' commands to get better answers from ChatGPT — number 7 is my personal favorite
Consumer AI launches, tools, and practical coverage.
- The Register AI + MLagentsAWS turns its best practice framework into an agent that recommends cloudy reconfigs
Possesses powers equivalent to an 'experienced architect' and will happily make cost-saving suggestions
- LessWrongcommunityHow to change your identity. A guide to the highest leverage behavior change technique.
According to Atomic Habits, changing your identity is the highest leverage way to improve your habits, but nobody tells you how to do it. Don’t say “I’m trying to quit smoking.” Say “I’m not a smoker”. Don’t say “I’m try…
- Hugging Face BlogagentsAutoSynthData: Generating Training Data for Enterprise Agents
Open-source model releases, tooling, and community updates.
- arXiv cs.AIagentsHeavy-Tailed Memory Traces in Long-Horizon Language Agents
arXiv:2610.00010v2 Announce Type: replace Abstract: Long-horizon language agents are becoming increasingly important for tasks that require persistent interaction, planning, and reasoning over extended trajectories. Exte…
- arXiv cs.AIagentsWhen Do Causal World Models Help Modular LLM Agents
arXiv:2610.00012v2 Announce Type: replace Abstract: LLM agents increasingly operate in modular systems, where planning requires coordinating multiple functional components whose actions can causally change downstream sta…
- arXiv cs.AIagentsFrom Proposal to Verified Effect: Praxa, an Evidence-Bound Harness for Governed AI Agent Execution
arXiv:2610.00015v1 Announce Type: new Abstract: Large-language-model agents can propose and execute actions, but proposal, authority, dispatch, verified external effect, and serving promotion are different claims. We pre…
- arXiv cs.AIresearchWhat Do Rationales Communicate? A Message-Intervention Study in Role-Specialized QA
arXiv:2610.00018v1 Announce Type: new Abstract: Role-specialized QA pipelines increasingly pass rationales from a reasoner to a verifier, but it is unclear what this message actually buys: better answers, stronger suppor…
- arXiv cs.AIagentsMeasuring the Microtask Eligibility Gap: When Is an Off-the-Shelf SLM Enough for an Agent Harness?
arXiv:2610.00025v1 Announce Type: new Abstract: Agent harnesses increasingly want to run small language models (SLMs) on the microtasks around a frontier large language model (LLM) planner: auto-approving shell commands,…
- arXiv cs.AIresearchCharacterizing a Configuration Where Inference-Time PRM-Pruned Fragment Grafting Is Inert: Evidence from Three Reasoning LMs
arXiv:2610.00047v1 Announce Type: new Abstract: Diversity collapse in parallel chain-of-thought has motivated inference-time interventions built on a natural design: when a process reward model (PRM) prunes a chain, its…
- arXiv cs.AIresearchGradient-Aligned Pair Selection for Personalized Preference Optimization
arXiv:2610.00061v1 Announce Type: new Abstract: Personalizing large language models (LLMs) requires aligning generation behavior with user-specific preferences rather than aggregate quality. While Direct Preference Optim…
- arXiv cs.AIagentsK-Dense BYOK: An Open-Source AI Research Assistant That Runs Locally and Keeps a Hash-Chained Lab Notebook
arXiv:2610.00074v1 Announce Type: new Abstract: K-Dense BYOK (bring your own keys) is a free, open-source AI research assistant for scientists in any field that runs on the researcher's own computer. The researcher suppl…
- arXiv cs.AIagentsScientific Agents: Evaluating Profession-Specific System Prompts on Scientific Tasks
arXiv:2610.00084v1 Announce Type: new Abstract: Detailed profession-specific system prompts raise token use and estimated cost per response without a consistent accuracy gain. We evaluate Scientific Agents, an open-sourc…
- arXiv cs.AIresearchComedic Fool's Gold: Reward Exploits and Countermeasures in Conversational Humor
arXiv:2610.00197v1 Announce Type: new Abstract: We investigate automated rewards for training language models in conversational humor, focusing on reward exploits and countermeasures. Two approaches aim to capture unders…
- arXiv cs.AIresearchEviGraph: Proof-Carrying Selective Recommendation over Temporal Public-Service Knowledge Graphs
arXiv:2610.00212v1 Announce Type: new Abstract: Public-service recommendations require evidence that matches the requested service, scope, and date. Yet treating every missing detail as decisive can withhold useful recom…
- arXiv cs.AIresearchBuild2SPARQL: A Large-Scale Text-to-SPARQL Benchmark Dataset for Building Knowledge Graph Querying
arXiv:2610.00224v1 Announce Type: new Abstract: Building automation systems are increasingly represented as semantic knowledge graphs (KGs) using ontologies such as Brick and ASHRAE 223P, creating a machine-readable subs…
- arXiv cs.AIresearchRobust Is Salient: An Informed Adversary Moves the Optimal Signal onto the Salience Pole
arXiv:2610.00233v1 Announce Type: new Abstract: When an informed adversary shares the audience of a constrained signalling channel, the signal that best protects the truth is the signal that best describes it. On 108 con…
- arXiv cs.AIresearchConflicting Supervision Moves Commitment, Not Capability: A 12.29{\sigma} arrangement effect that is exactly zero under a convention-agnostic score
arXiv:2610.00234v1 Announce Type: new Abstract: "Train a model on the same problems written under two incompatible conventions, both correct, and ask what the ordering of that data writes into the parameters. The learnin…
- arXiv cs.AIagentsKnowing When to Yield: Grounded Arbitration of User Corrections in Text-Based Embodied Agents
arXiv:2610.00282v1 Announce Type: new Abstract: How should an embodied agent respond when a person's correction may be wrong? We formulate grounded correction arbitration as a choice among accepting, rejecting, inspectin…
- arXiv cs.AIagentsRules to Tools: Executable Checks for LLM Agents in Scientific Computing
arXiv:2610.00313v1 Announce Type: new Abstract: Scientific coding agents receive equations, boundary conditions, and output requirements in writing, then must assess the programs they revise. Rules to Tools (R2T) supplie…
- arXiv cs.AIagentsPredictive Credit: Measuring What Scientific Explanations Add to Experimental Forecasts
arXiv:2610.00314v1 Announce Type: new Abstract: Research agents explain planned experiments. We measure predictive credit with paired forecasts sharing an intervention, forecaster, and outcome while varying description,…
- arXiv cs.AIresearchContractRL: Shielded Group-Relative Policy Optimization for Auditable Tool-Call Repair
arXiv:2610.00328v2 Announce Type: replace Abstract: Structured tool calls often fail after only a small number of fields violate a schema or an execution contract. Regenerating the complete object enlarges the action sur…
- arXiv cs.AIresearchMathematical Transfer in LLMs Follows Reasoning Approach More Than Topic
arXiv:2610.00331v1 Announce Type: new Abstract: When selecting mathematical training data for LLMs, a natural organizing principle is topic: probability examples for probability targets. An alternative is reasoning appro…
- arXiv cs.AIagentsFault-Tolerant Budget Conservation in Distributed Multi-Agent Delegation
arXiv:2610.00349v1 Announce Type: new Abstract: Resource limits are becoming an authorization boundary for AI agents that delegate work across concurrent and failure-prone workers. Parent-child allocation constraints, af…
- arXiv cs.AIresearchJusticeAxis: Benchmarking Legal Judgment between Rigid Rule Application and Ungrounded Discretion
arXiv:2610.00353v2 Announce Type: replace Abstract: A sound judgment applies the law to established facts and weighs the circumstances in which they arose. However, existing methods swing between rigid statute matching a…
- arXiv cs.AIagentsWhat Should an Agent Remember? Disentangling Retention from Retrieval in Bounded-Memory Evaluation
arXiv:2610.00366v1 Announce Type: new Abstract: A persistent agent must decide both what to retain as information arrives and what to surface once a query appears, yet memory evaluations can confound these decisions by c…
- arXiv cs.AIagentsWhen Harnesses Lose the Signal: Causal Evaluation of Recovery in LLM Agents
arXiv:2610.00372v1 Announce Type: new Abstract: Large language model agents rely on external harnesses to pass information between the model and its environment and to recover from execution errors. Yet recovery is usual…
- arXiv cs.AIresearchBenchmarking Prompt Optimization of Large Language Models With Chess
arXiv:2610.00416v2 Announce Type: replace Abstract: Evaluating large language models becomes increasingly challenging as their capabilities advance: benchmarks can saturate, public test sets risk contamination, and asses…
- arXiv cs.AIagentsJevSpawn: Adaptive Agentic Inference through Compositional Action Spaces
arXiv:2610.00437v1 Announce Type: new Abstract: LLM agents generate intermediate reasoning and actions token by token, making extended interactions slow and computationally expensive. Jev-style models offer fast probabil…
- arXiv cs.AIresearchFrozen Scenes, Shifting Winners: Configuration Fragility in Text-to-3D Evaluation
arXiv:2610.00447v1 Announce Type: new Abstract: Can a text-to-3D leaderboard change when every generated scene stays fixed? We audit this question for rendered-image evaluation, where camera settings and caption wording…
- arXiv cs.AIagentsBefore Agents Decide: Epistemic Action in LLM-Based Systems
arXiv:2610.00511v1 Announce Type: new Abstract: Before a difficult decision, people often act simply to understand the situation better. We turn an object to see another side, place alternatives next to each other, or ch…
- arXiv cs.AIresearchOntology-Based Contextual AI Evaluations (OB-CAIE) Methodology
arXiv:2610.00529v1 Announce Type: new Abstract: The ontology-based contextual AI evaluation (OB-CAIE) methodology was developed to address a lack of scientific rigor that arises from unclear testing coverage, to balance…
- arXiv cs.AIresearchScience or Slop?: Benchmarking and Mitigating Scientific Slop in AI-Generated Papers
arXiv:2610.00531v1 Announce Type: new Abstract: AI-generated content, often called AI slop, is increasingly common everywhere, particularly in academia. Slop in AI-generated scientific papers, however, has more complex p…
- arXiv cs.AIagentsWorse Together: How Performance Breaks Down in Multi-User Multi-Agent Teams
arXiv:2610.00583v1 Announce Type: new Abstract: People are increasingly delegating tasks to AI agents, and those agents are increasingly encountering other people's agents over shared resources such as a codebase, a cale…
- arXiv cs.AIagentsLegal Research Bench: Measuring End-to-End Reliability in Long-Horizon Legal Research Agents
arXiv:2610.00609v1 Announce Type: new Abstract: Legal research is a core and time-consuming legal workflow. Lawyers must identify controlling authority, verify that it remains valid, reconcile statutes and cases, and syn…
- arXiv cs.AIagentsSpatial Strategies, Not Actions: Vector-Quantized Geodesics as Tools for LLM-Driven Agents
arXiv:2610.00613v1 Announce Type: new Abstract: Large language model (LLM) based agents are often criticized for lacking spatial understanding and mainly exploiting statistical text patterns. We investigate their spatial…