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  1. SiliconANGLE AIstartups
    Mistlabs takes its Ambi AI system out of beta on Apple devices with $26M in funding

    Ambient intelligence startup Mistlabs Ltd. today brought its Ambi artificial intelligence system out of beta test on Apple Inc. devices, backed by $26 million in new funding. Ambi is designed to act without being asked.…

  2. The Decodercommunity
    Anthropic's Andrej Karpathy says "the external world has seen the preview" of what AI can actually do

    Andrej Karpathy, co-founder of OpenAI and now at Anthropic, sees a widening knowledge gap in AI. About 75 percent of the world's population has barely touched LLMs. Roughly 5,000 people, meanwhile, have access to interna…

  3. TechCrunch AIstartups
    Former Plaud exec raises $26M for AI app that listens to you in the background

    One of the core promises of AI is that the more it knows about a person, the better it will be able to assist them with tasks and make appropriate suggestions, which, if you'll believe the tech companies, requires apps a…

  4. Ars Technica AIcommunity
    Amazon has over 1 million robot workers. What’s next for human employees?

    The second-largest corporate employer has bet big on robot workers to scale.

  5. The Register AI + MLmodels
    Microsoft giveth and Microsoft taketh away: Copilot edition

    Office documents in Copilot? Absolutely! Using Copilot to make Outlook themes? Nah…

  6. AI Businessagents
    Prompt: AI agents are running into the limits of access

    As agents take on more work for users, companies are deciding whether to let outside AI systems act on their platforms.

  7. Import AIresearch
    Import AI 476: Creativity and RSI; worse-than-China open weight models; AI goes to space

    Will we give robots the moon?

  8. TechRadar AIcommunity
    Man uses ChatGPT to win three-year parking ticket dispute

    Mainstream AI news from a large tech publication.

  9. BBC Technologypolicy
    AI minister warns 'likely' UK's cyber defences will be breached

    Kanishka Narayan said the government will use advanced AI to strengthen the UK against cyber attacks.

  10. Guardian AIpolicy
    As US medical debt grows, AI will be used more to collect it

    The debt-collection ecosystem will change as AI takes notes in exam rooms, codes visits and sends billing messages Medical debt is expected to grow in coming years as Republican-led health cuts come into force this winte…

  11. Guardian AIsafety
    One essential ingredient for AI safety? Democracy | Matthew Botvinick

    The rise of AI makes the preservation of democracy even more urgent – especially as the technology threatens institutions AI safety is having a moment. After years as a topic for techies and futurists, the potential risk…

  12. SiliconANGLE AIstartups
    E-commerce AI startup Loops raises $3.5M to create smoother online shopping experiences

    Agentic e-commerce startup Loops Smart AI wants to help online retailers create more seamless buying journeys and streamline the shopping experience after raising $3.5 million in seed funding today. Andreessen Horowitz’s…

  13. LessWrongcommunity
    Leif Wenar's 'Takedown' of Effective Altruism

    This is a crosspost from my Substack newsletter. This month’s most embarrassing piece of public philosophy appeared on invitation in a piece for The Economist by the Stanford philosopher Leif Wenar. Once more, Wenar trie…

  14. TechRadar AIcommunity
    The growing risk of SaaS sprawl requires a smarter approach to integration

    Mainstream AI news from a large tech publication.

  15. TechRadar AImodels
    I tried ChatGPT’s new virtual fitting room — it got the clothes right, but changed my body

    Mainstream AI news from a large tech publication.

  16. TechRadar AIresearch
    When one robot learns, every robot knows if they can communicate

    Mainstream AI news from a large tech publication.

  17. The Verge AImodels
    Meta has some Wonder Full new AI models

    Meta is making up for lost time in the AI race. After launching Muse Spark, the first model from its revamped Superintelligence Labs division, and buzzy AI agent Muse, it's now launching two new models it claims can go t…

  18. The Verge AIchips
    Microsoft’s new AI chip makes it less reliant on Nvidia’s GPUs

    Microsoft is announcing its third-generation Maia in-house AI chip today, designed to be the "primary AI inference system" for Microsoft's products and services. Maia 300 not only improves the cost and efficiency of runn…

  19. Engadget AIagents
    How to use Google Gemini to automate tasks

    Spark is Google's AI tool that can perform tasks on your behalf.

  20. TechRadar AIcommunity
    CEOs say AI is helping their businesses be more productive — even if they're not always sure what's going on

    Mainstream AI news from a large tech publication.

  21. TechRadar AIagents
    The more autonomous AI becomes, the more human strategy matters

    Mainstream AI news from a large tech publication.

  22. Guardian AIsafety
    ‘I’ve become significantly more cautious’: six parents on limiting their kids’ social media and AI use

    Quite a few parents aren’t convinced social media and AI are safe, and have been adapting accordingly When it comes to their kids, many parents don’t trust tech companies any more. Social media companies have spent the b…

  23. IEEE Spectrum AIresearch
    Learning to Play Like a Pro: Adaptive Motion Planning and Tracking for Humanoid Robots

    This White Paper provides roboticists and control engineers with a comprehensive overview of how motion planning and motion tracking can be decoupled to preserve professional athletic style in humanoid robots, and why ad…

  24. The Decoderresearch
    Google Deepmind's AlphaProof Nexus solved dozens of open math problems and actually got peer reviewed

    Google Deepmind's AlphaProof Nexus solved dozens of open math problems, including nine Erdős problems two of which were unsolved for 56 years, per a study in Science. The publication comes as OpenAI faces a boycott for d…

  25. Tom's Guide AIcommunity
    I spoke to a product marketing expert about AI food photos — and there's more at stake than a disappointing burger

    Consumer AI launches, tools, and practical coverage.

  26. Guardian AIpolicy
    AI less regulated than milk, Microsoft president says in warning over safety

    Brad Smith adds to calls for tougher rules for AI, including ‘kill switches’ and legal obligation to victims of rogue agents Business live – latest updates Artificial intelligence is less regulated than milk and washing…

  27. Engadget AImodels
    Meta says it's caught up to the frontier with its latest Wonder AI models

    The models add "active memory" and "active focus" abilities.

  28. Guardian Technologycommunity
    iPhone 18 Pro Max review: Apple’s biggest, heaviest and longest-lasting superphone

    A giant screen, big battery, rapid chip and top cameras push the great iPhone 18 Pro to the max with a price tag to match Apple’s largest Pro iPhone gets its biggest battery upgrade yet to make it a true two-day phone wi…

  29. LessWrongresearch
    Manifolds for Five-Year Olds

    Ambitious mechanistic interpretability research is full of jargon, but the underlying intuitions are so simple that a five-year-old (with a firm grasp of linear algebra) could understand them. In one recent paper from Go…

  30. Simon Willison's Weblogopen-source
    datasette-ports 0.4

    Release: datasette-ports 0.4 My plugin for detecting and listing all Datasette instances on the current machine now works with the latest version, and displays the detected PID as well. Knowing the PID makes it easier to…

  31. arXiv cs.AIresearch
    Faithfulness Without Anchors: A Position Paper on the Structural Misalignments of Explainable AI Faithfulness Metrics for Feature Importance

    arXiv:2610.12493v1 Announce Type: new Abstract: Explainable Artificial Intelligence (XAI) tools have often been presented as methods to increase trust in machine learning models by making aspects of their algorithms more…

  32. arXiv cs.AIresearch
    EliteTable: Self-Improving Program Search for Executable Control Policies

    arXiv:2610.12536v1 Announce Type: new Abstract: EliteTable is a self-improving program-search algorithm guided by large language models (LLMs) that uses a fixed-capacity table of high-scoring solutions to guide new propo…

  33. arXiv cs.AIagents
    Equal-Budget Monte Carlo Tree Search versus Randomized-Restart List Scheduling for DAG Workflows: A Controlled Equal-Budget Computational Study

    arXiv:2610.12542v1 Announce Type: new Abstract: Monte Carlo Tree Search (MCTS) is often proposed for scheduling directed-acyclic-graph (DAG) workflows, yet most studies never run the comparison that could refute it - giv…

  34. arXiv cs.AIagents
    Know What You Don't Know: Agentic Data Synthesis by Evolving Generation Space for Closed-Loop Learning

    arXiv:2610.12593v1 Announce Type: new Abstract: The continued improvement of large language models increasingly depends on synthetic experience, yet effective data synthesis for interactive agents requires not only execu…

  35. arXiv cs.AIagents
    SpireBench: Evaluating Long-Horizon Strategic Play of Agentic Models with Slay the Spire

    arXiv:2610.12596v1 Announce Type: new Abstract: Agentic large language models now tackle complex tasks, yet strategic reasoning over long horizons is under-studied: most agentic benchmarks are short and episodic, and per…

  36. arXiv cs.AIagents
    Beyond Binary Verifiable Rewards: Behavioral Self-Rewarding for SWE Agents

    arXiv:2610.12598v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards (RLVR) provides reliable supervision for software engineering agents through executable tests, but binary rewards fail to dis…

  37. arXiv cs.AIagents
    CLEAT: Learning Value-Guided Clarification for Interactive Agents

    arXiv:2610.12655v1 Announce Type: new Abstract: LLM agents can execute increasingly complex tasks, but effective assistance also requires aligning their actions with goals and constraints that users may leave unstated. W…

  38. arXiv cs.AIresearch
    MagicBeanStalk: Escaping the RLVR Zero Advantage Trap with Recursive Data Synthesis

    arXiv:2610.12659v1 Announce Type: new Abstract: Data-centric scaling of RLVR has focused on collecting or generating verifiable training problems. However, corpus size alone does not determine whether the dataset provide…

  39. arXiv cs.AIresearch
    Faithful and Complete LLM-Assisted Automated Construction of Hierarchical Hardware Knowledge Graphs

    arXiv:2610.12762v1 Announce Type: new Abstract: Hardware datasheets contain engineering specifications essential for component selection, system integration, and hardware compatibility verification. However, manual inspe…

  40. arXiv cs.AIresearch
    Representation Alignment from a Few Paired Data via Distilled Optimal Transport

    arXiv:2610.12781v1 Announce Type: new Abstract: Aligning two independently pretrained unimodal encoders typically demands millions of paired examples. In this paper, we study the regime where only $N \sim 100$--$500$ pai…

  41. arXiv cs.AIagents
    EvoBelief: Falsifiable World Models for Self-Improving LLM Agents

    arXiv:2610.12789v1 Announce Type: new Abstract: Self-evolving LLM agents typically improve how they act through accumulated experience, reflection, or skills. Yet even procedurally capable agents can fail when their beli…

  42. arXiv cs.AIagents
    VEPA: Verified Evolving Formal Policy for Lifelong LLM Agent Guardrails

    arXiv:2610.12813v1 Announce Type: new Abstract: LLM agents increasingly operate over sensitive resources, such as private documents and mutable system states, which can create serious safety and security risks. Runtime g…

  43. arXiv cs.AIagents
    Reward Hacking as a Transmissible Strategy in Multi-Agent Coding Systems

    arXiv:2610.12822v2 Announce Type: replace Abstract: Multi-agent systems are increasingly used to solve coding tasks by coordinating agents that share code and plans. These agents are often optimized with reinforcement le…

  44. arXiv cs.AIresearch
    Neural networks are more modular than single neurons suggest

    arXiv:2610.12842v2 Announce Type: replace Abstract: Neural networks routinely develop representations in which individual neurons contribute to multiple distinct functions, leading to the widespread view that such networ…

  45. arXiv cs.AIresearch
    Towards Defining, Measuring, and Leveraging Creativity in AI Applications

    arXiv:2610.12845v1 Announce Type: new Abstract: Despite extensive research, computational creativity still lacks a conceptually grounded, practically relevant, and empirically applicable formal definition across contexts…

  46. arXiv cs.AIresearch
    Mitigating Capability Degradation in LLM Self-Improvement via Representation Geometry Regularization

    arXiv:2610.12855v1 Announce Type: new Abstract: On-Policy Self-distillation is a self-improvement paradigm that enables large language models (LLMs) to improve their capabilities by leveraging the same model as both teac…

  47. arXiv cs.AIresearch
    Collaborative Theory of Mind: Learning to Self-Revise by Anticipating User Responses

    arXiv:2610.12872v1 Announce Type: new Abstract: Large language models (LLMs) demonstrate strong individual task performance, yet still struggle to collaborate with users over extended, multi-turn interactions, for exampl…

  48. arXiv cs.AIresearch
    One-Step Text Generation by Seq-Drifting

    arXiv:2610.12879v1 Announce Type: new Abstract: Diffusion language models generate tokens in parallel, but still require multiple sampling steps to produce high-quality text. In this paper, we investigate whether a model…

  49. arXiv cs.AIresearch
    Mind the Spatial Gap: A Benchmark for Geospatial Reasoning and Constrained Spatial Editing

    arXiv:2610.12881v1 Announce Type: new Abstract: Understanding and manipulating spatial relations is fundamental to AI systems that reason about physical environments and construct grounded world models. However, existing…

  50. arXiv cs.AIresearch
    OGPO: Offline Goal-conditioned Policy Optimization for Recoverable Vision-Language-Action Models

    arXiv:2610.12914v1 Announce Type: new Abstract: Vision-language-action (VLA) models have shown strong promise in robotic manipulation, yet their post-training still predominantly relies on trajectory-level supervised imi…