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19,861 articles, newest first, from the outlets listed on the sources page.

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  1. TechCrunch AIstartups
    Nvidia backs Indian startup helping companies run AI models with fewer GPUs

    Simplismart says its annualized revenue run rate has grown fourteenfold in six months, with the U.S. accounting for more than half its revenue.

  2. WIRED AIagents
    AI Agents Are Media’s New Favorite Audience

    As agents go mainstream, some publishers are hoping that people will pay for content tailor-made for AI—not humans.

  3. TechRadar AIpolicy
    Netherlands to replace 25,000 government jobs with AI in efficiency drive to save €3.5 billion

    Mainstream AI news from a large tech publication.

  4. The Decodermodels
    OpenAI's Ted Sanders shares a rule of thumb for picking the right GPT-model

    OpenAI's Ted Sanders explains where GPT-6.1 Terra fits in the company's GPT lineup. The smaller model outperforms the larger Astra in technical communication and costs far less but trails it in most other areas. Sanders…

  5. Guardian AIpolicy
    AI-driven disinformation running rampant on social media before US midterms, experts warn

    Social media companies including Meta have pulled back on efforts to protect voters from election-meddling lies Social media feeds are awash with an unprecedented flood of AI -driven disinformation ahead of November’s US…

  6. Guardian Technologycommunity
    Eight great new indie horror games for Halloween

    Whether you favour spooky fairtales, satanic card games or infernal hijinks at the chip shop there are all manner of fresh top scarers at large this witching season Tis almost All Hallows’ Eve and naturally, the thoughts…

  7. Guardian Technologycommunity
    ‘My social life completely plummeted’: gen Z is fighting back against big tech

    From apps that block distractions to stripped-down phones, young people are finding ways to unplug from platforms they say profit from their attention Gen Z voters: tell us what is guiding your vote in the US midterm ele…

  8. Guardian Technologycommunity
    CurrentBody Series 3 review: a fully customisable LED mask that helps exactly where you need it

    With six light wavelengths and almost endless ways to combine them, CurrentBody’s latest sets a new standard for red light therapy devices • The best LED face masks CurrentBody’s LED masks have long been my favourite. Th…

  9. The Decoderchips
    Meta gets $3 billion from Nvidia and plans to spend more on Nvidia chips

    ia is buying into its customer Meta, which plans to run more of its AI agents on Nvidia hardware. The article Meta gets $3 billion from Nvidia and plans to spend more on Nvidia chips appeared first on The Decoder .

  10. WIRED AIagents
    I Tested Every Major AI Agent for a Day. Here’s the Best One

    I ranked six AI agents—from Meta’s Muse to Anthropic’s Claude Duet—on how well they completed basic tasks.

  11. LessWrongsafety
    Steering vectors don't help when the model is severely biased

    Getting back in the safety field after 4 years feels great. I had a paper on concept distillation where I showed how steering vectors based method did'nt help to debias model since the concepts itself are understood wron…

  12. LessWrongsafety
    What happens with steering vectors to remove biases?

    Getting back in the safety field after 4 years feels great. I had a paper on concept distillation where I showed how steering vectors based method did'nt help to debias model since the concepts itself are understood wron…

  13. Tom's Guide AImodels
    ChatGPT is giving people bizarre advice — I put it to the test to see why

    Consumer AI launches, tools, and practical coverage.

  14. Tom's Guide AIsafety
    5 ChatGPT plugins that are a must-have for anyone who wants to protect themselves from scams before it's too late

    Consumer AI launches, tools, and practical coverage.

  15. TechRadar AIagents
    Beyond the welcome email: Advanced automation workflows for scaling your business

    Mainstream AI news from a large tech publication.

  16. SiliconANGLE AIagents
    SAP advances its autonomous enterprise push with smarter, governed Joule agents

    SAP SE today announced a set of artificial intelligence innovations at its annual TechEd conference for developers, enhancing its Joule assistant solutions and Business AI Platform, including tabular data foundation mode…

  17. Ai2 Blogresearch
    Can we trust LLMs to judge whether a research idea is novel?

    Old Ideas, Novel Problems tests how reliably LLMs judge the novelty of research ideas, finding that small changes to the evaluation setup can produce very different verdicts.

  18. Latent Spacestartups
    [AINews] Anthropic files for $2T IPO in 2 weeks: 1400% growth rate, 48% of revenue through cloud partners, 85% margin, $1B op profit in Q2, $134B cash in bank and $10B lifetime burn

    The S-1, the numbers, and the reactions.

  19. Guardian AIpolicy
    UK government met 137 businesses over AI datacentres – but no environmental groups

    Investigation finds dozens of ministers and civil servants moved into AI roles as government developed datacentre expansion plans The UK’s policy on datacentres and AI was developed without any meetings with environmenta…

  20. OpenAI Newsagents
    OpenAI expands partnership with Oracle to bring its apps to ChatGPT

    OpenAI and Oracle are expanding their partnership to bring business applications and AI agents into ChatGPT and power new Oracle offerings.

  21. Engadget AIcommunity
    This old Nokia phone got an AI Upgrade it was never designed for

    The GOAT of dumb phones gets a new lease on life.

  22. The Register AI + MLpolicy
    Elvis rightsholders sue Anthropic for stealing songs and leaving them in Heartbreak Hotel

    They want a little less chatbot conversation, and a whole lot more royalty action

  23. AI Stack Exchangecommunity
    What is the Need for AI Developers since we have AI APIs Now?

    I am new to AI and passionate about it. I have a fair knowledge of deep learning and I am into computer vision. I am eyeing NLP as well. I just want to know the need for an AI developer in computer vision, say, since we…

  24. Guardian AIstartups
    Four takeaways from Anthropic’s potentially record-breaking stock market filing

    The AI company’s first public financial disclosures reveal explosive growth, huge costs and risks ranging from cyber-attacks to the limits of safeguards Anthropic has filed to go public on the US stock market, revealing…

  25. SiliconANGLE AIcommunity
    Cisco Partner Summit: Five insights that will define the channel in the AI era

    For most of its 30-year history, Cisco Partner Summit has focused on how partners sell Cisco Systems Inc. technology. This year’s event in Vancouver was about something different: how partners make money in a world where…

  26. Guardian AIcommunity
    Chinese markets lose trillions as race for AI supremacy with US takes its toll

    Lack of profits and the threat posed by western countries are raising concern about the sustainability of Beijing’s AI boom Trillions of dollars have been wiped from China’s stock markets in recent months amid increasing…

  27. TechRadar AImodels
    Google's Gemini 4 Argon may be overkill for most tasks

    Mainstream AI news from a large tech publication.

  28. The Register AI + MLmodels
    IBM admits mainframes need to be modernized and will use AI to do the job

    Promises to build ‘IBM Z Atlas’ tool that will tidy up messy big iron and enable AIOps

  29. arXiv cs.AIresearch
    Inverse Modeling for Laser Pulse Shape Design in Inertial Confinement Fusion

    arXiv:2610.33096v1 Announce Type: new Abstract: The achievement of practical fusion energy remains one of the most pressing unsolved scientific challenges, with immense implications for carbon-free power. A critical fact…

  30. arXiv cs.AIresearch
    IRON-Meme: A Benchmark for Structured Understanding of Identities and Roles in Online Meme Narratives

    arXiv:2610.33097v1 Announce Type: new Abstract: As polarization grows on social media, understanding how political memes shape online narratives has become increasingly important. Previous research has relied on either q…

  31. arXiv cs.AIresearch
    Prospect Theory in Large Language Models: A Meta-Analysis of Loss Aversion, Diminishing Sensitivity, and Probability Weighting

    arXiv:2610.33103v1 Announce Type: new Abstract: Prospect theory splits risky choice into three parts: loss aversion, measured by the relative weight of losses to gains, $\lambda$ (e.g., $\lambda = 2$ implies that losses…

  32. arXiv cs.AIresearch
    Artificial Intelligence in Mechanical Engineering: Foundations, Opportunities, Challenges, and Responsibilities

    arXiv:2610.33105v1 Announce Type: new Abstract: Artificial intelligence (AI) is reshaping mechanical engineering (ME), from modeling, simulation, and optimization to diagnostics, design, and technical communication. Draw…

  33. arXiv cs.AIresearch
    Conformance as a Distribution: Delegation Contracts, Error Budgets, and the Allocation of Evaluation Authority in Use-Based AI Regulation

    arXiv:2610.33112v1 Announce Type: new Abstract: Use-based AI regulation assigns obligations by deployment risk but lacks an evidentiary object to carry them. A benchmark score is a property of a model; conformance of a d…

  34. arXiv cs.AIresearch
    Optimal Correction Sets for Provable Redress of Contestable Causal Discovery

    arXiv:2610.33138v1 Announce Type: new Abstract: Constraint-based causal discovery relies on conditional-independence (CI) tests that may conflict in finite samples, leaving no causal graph that satisfies them all. Causal…

  35. arXiv cs.AIagents
    AOS-Bench: Can LLM Agents Manage Dynamic Workloads?

    arXiv:2610.33178v2 Announce Type: replace Abstract: Coding agents are moving from handling one request at a time to serving as persistent assistants to which users hand a stream of work: a build, a data-processing job an…

  36. arXiv cs.AIresearch
    Propensities Please: Exposing Alignment-Faking LLMs using Synthetic Document Finetuning

    arXiv:2610.33180v1 Announce Type: new Abstract: Alignment evaluations aim to assess whether large language models would engage in dangerous misaligned behaviour. Misaligned and evaluation-aware models might engage in ali…

  37. arXiv cs.AIresearch
    Isharah-Selfie: Continuous Sign Language Recognition Dataset for One-handed Signing

    arXiv:2610.33200v1 Announce Type: new Abstract: Current sign language recognition and translation benchmarks are commonly collected in controlled settings using fixed or studio-style cameras, particularly limiting their…

  38. arXiv cs.AIresearch
    Scaling Qualitative Analysis with Large Language Models: Development and Validation of the Smart Coder Framework for Human-LLM Collaborative Coding

    arXiv:2610.33205v1 Announce Type: new Abstract: Current uses of large language models (LLMs) for qualitative coding often rely on ad hoc prompting with limited guidance for reliability and human oversight. To address the…

  39. arXiv cs.AIresearch
    Distilling Expert Judgment at Scale

    arXiv:2610.33233v1 Announce Type: new Abstract: Frontier AI models are increasingly deployed on topics where the stakes are high and expert judgment is required, including healthcare, defense, finance, governance, and po…

  40. arXiv cs.AIresearch
    NewsBench: Expert-Grounded Evaluation of Epistemic Quality in AI News Reporting

    arXiv:2610.33240v1 Announce Type: new Abstract: As frontier AI systems increasingly serve as sources of political and current-events information, evaluating the epistemic quality of their responses is now especially cons…

  41. arXiv cs.AIagents
    AdaPRA: Process Reward Agents with Adaptive Rubrics for Data Science

    arXiv:2610.33245v1 Announce Type: new Abstract: Data science agents can automate end-to-end machine learning workflows, yet they remain far from competitive on human leaderboards. Agents make process errors such as insuf…

  42. arXiv cs.AIresearch
    Scoped Semantic Invariance as a Foundation for LLM Reliability

    arXiv:2610.33267v1 Announce Type: new Abstract: LLMs often answer semantically equivalent queries inconsistently, even when the underlying facts are known. We formalize consistency as semantic invariance over equivalence…

  43. arXiv cs.AIresearch
    GEMS-RAG: Graph-grounded Engineering Multimodal Standards Retrieval-Augmented Generation

    arXiv:2610.33277v1 Announce Type: new Abstract: Engineering standards are challenging knowledge sources for large language models (LLMs) because they are hierarchical, multimodal, and densely connected through figures, t…

  44. arXiv cs.AIagents
    Estimation of Propagated Risk in LLM-based Multi-Agent Systems

    arXiv:2610.33282v1 Announce Type: new Abstract: Large Language Model (LLM) based multi-agent systems introduce a distinctive reliability challenge in which actions taken by upstream agents can affect the correctness of d…

  45. arXiv cs.AIresearch
    AI Teaches Humans to Handle Complexity in the Game of Go

    arXiv:2610.33323v1 Announce Type: new Abstract: Strategic decision-making in complex environments requires balancing local stability against global coordination. Using the game of Go as a bounded empirical testbed, we in…

  46. arXiv cs.AIresearch
    TempShap: When and How Much a Feature Matters in Time-Series Forecasting

    arXiv:2610.33330v1 Announce Type: new Abstract: Attribution for a time-series forecaster should answer two questions that a feature-level scalar cannot: when in the input window a feature acts, and how much its influence…

  47. arXiv cs.AIagents
    BenchBench-Cloning: Evaluating Molecular Cloning Design and Protocol Development

    arXiv:2610.33355v1 Announce Type: new Abstract: Molecular cloning is one of the most routine wet-lab workflows, yet existing evaluations of language models in biology mostly test knowledge recall or isolated steps rather…

  48. arXiv cs.AIagents
    AgentOrch: How Close Can Global Orchestration Come to Step-by-Step Interaction?

    arXiv:2610.33375v2 Announce Type: replace Abstract: Enterprise workflow agents typically rely on step-by-step interaction (Step-by-Step): the agent executes an action, observes its result, and invokes a large language mo…

  49. arXiv cs.AIresearch
    How To Build A Modern Diffusion Language Model

    arXiv:2610.33391v1 Announce Type: new Abstract: The frontier of large language model (LLM) performance has advanced rapidly in recent years, fueled by scaling laws for pretraining on large text corpora. However, mainstre…

  50. arXiv cs.AIresearch
    Data Optimization for LLMs: A Survey

    arXiv:2610.33405v1 Announce Type: new Abstract: Large language models (LLMs) have attracted great attention in both academic and industrial communities in recent years. Numerous survey studies have covered various aspect…