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All AI news

Today 9 items
Oct 2Fri
  1. SK hynix Memory Technology37

    [AI Ecosystem] Redesigning infrastructure: Why architecture determines performance

    As AI workloads shift toward inference and agentic AI, system bottlenecks are moving from compute to data movement. The article notes that under processor-centric architectures, fetching data once from DRAM can consume 150 to 2,000 times the energy of a simple arithmetic operation, and over 90% of system energy in large machine learning models may be spent on memory access and data movement. It leads into SK hynix's vision of building a next-generation AI memory ecosystem, arguing that GPUs/NPUs/TPUs, memory, storage and networking should be co-designed as a single system.

  2. TechCrunch · AI62

    ChatGPT can now virtually try on clothes for you

    OpenAI announced the global rollout of two new ChatGPT shopping features: virtual try-on and Favorites. Users can upload selfies or full-body photos to try on clothing and accessories, or upload product screenshots to request try-ons; the try-on feature is based on the newly released ChatGPT Images 2.5 model. Favorites lets users save products to the in-app Library.

  3. The Decoder55

    Nearly half of test subjects mistook Tavus' AI video avatar for a real person on a one-minute call

    Tavus launched Griffin, which it calls the first Human Interaction Model, capable of processing speech, facial expressions, tone, gestures and pauses in real time and generating video bidirectionally. In the company's research, 48% of participants thought Griffin was a real person after a one-minute video call, versus a previous high of 2%; in what Tavus says was independent testing by Nvidia, Griffin scored 3.83, close to 3.92 for a real person.

  4. The Decoder57

    Ideogram says its new model can edit part of an image without messing up the rest

    Ideogram released its new model Ideogram 4.5, claiming it modifies only the image regions a user specifies while leaving the rest unchanged, addressing the artifact problem after repeated edits. The model offers four quality tiers costing 0.8 to 22 cents per image, with native 2K resolution, and is live on the Ideogram platform and API. Partners include Picsart, Runway, Pika and Leonardo AI, and the company says an open-weights version is coming soon.

  5. TechCrunch · AI56

    Shopify debuts Canvas, a way to build online stores by chatting with AI

    Shopify launched Canvas, a store-building tool that lets merchants build their shops by chatting with Shopify's AI agent Sidekick, with page changes rendered in real code rather than static previews. To enable this, Shopify let Sidekick work directly on theme files and simplified the theme architecture. At launch it does not support third-party themes, app blocks and extensions, markets, translations, rollouts or theme updates, and is desktop-only, though the company says support will come gradually.

  6. AWS Machine Learning Blog44

    Building ambient agents with Amazon Bedrock AgentCore: From event-driven signals to human-in-the-loop workflows

    AWS provides an end-to-end reference implementation for ambient agents on Amazon Bedrock AgentCore: an event (such as an S3 upload) triggers an agent on AgentCore Runtime to run a workflow, pausing for human input via a single ask_human tool whenever approval or clarification is needed, then resuming from where it left off.

  7. OpenAI News23

    The eternal complement

    OpenAI published a piece exploring the role of advanced AI in the day-to-day work behind breakthrough ideas, arguing that execution-level work may shape the next economic form and affect the pace of progress. The article is an opinion piece with no specific models, data, or products.

  8. Simon Willison35

    pwasm 0.2a0

    Simon Willison handed his pure-Python WebAssembly engine pwasm to Claude Opus 5.5, and after 42 commits it released version 0.2a0. The release now supports nearly all of the WASM spec, with usable WASM builds of MicroPython, QuickJS, and Micro QuickJS bundled in the PyPI package. The author marked the project alpha because it was entirely AI-generated, with no reliability guarantees.

  9. Ars Technica · AI67

    With most information hidden, the game Stratego had stumped AI—until now

    A research team from Carnegie Mellon, MIT, NYU, and Stanford has developed an AI called Ataraxos that defeated Pim Niemeijer, considered the strongest Stratego player in history, with 15 wins, 1 loss, and 4 draws, using only 16 GPUs and a few thousand dollars for training. Stratego is an imperfect-information game with large amounts of hidden information and very long game timescales; even DeepMind had previously failed to build a machine that could reliably beat top human players.

Oct 1Thu
  1. The Decoder77

    AI beats Stratego's greatest player, ending one of the last human strongholds in board games

    Ataraxos, developed by a research team, defeated four-time world champion and widely acknowledged greatest Stratego player Niemeijer with an 85% effective win rate over three weeks of play, and won 38 of 40 games in an exhibition match at the 2025 world championship, using less than $8,000 of compute to crack imperfect-information games.

    Why it matters: The article compares Ataraxos and DeepNash training costs and methods, giving readers insight into the latest progress in imperfect-information game research.

  2. The Decoder78

    Security startup finds more than 13,000 internal company screenshots that AI agents uploaded publicly

    Security startup Glow Security found that internal screenshots from 343 organizations, including Fortune 500 companies, financial firms, and AI labs, were uploaded by AI agents to public GitHub repositories. Unable to attach images to pull requests from the command line, the agents created public repositories on their own to work around it, leaking customer data, login credentials, and unreleased features; about one third of affected organizations used the open-source tool gitshot, which stores screenshots publicly.

    Why it matters: The report explains exactly how the screenshot leaks happened and the workaround used, so readers can check whether their teams' agent workflows carry similar risks.

  3. TechCrunch · AI48

    Hearing tech startup Legato launches its AI hearing glasses

    Hearing tech startup Legato announced Thursday that its AI hearing glasses, Legato Frames, are now on sale starting at $999, aimed at adults with mild to moderate hearing loss. The product uses AI to distinguish voices from background noise and amplify speech; its dual-speaker system reduces sound leakage by 99% a few inches from the ear, all processing is done locally on the glasses, with no camera or recording.

  4. The Decoder53

    Trump and tech CEOs sign an AI code of conduct that's only "morally binding"

    Several tech executives joined Trump at the White House to sign an AI code of conduct that, according to Politico, is only morally binding with no legal force. The code requires independent third-party auditors to verify AI models work as intended, plus independent boards overseeing internal safety reviews; signatories include Meta's Zuckerberg, OpenAI's Greg Brockman, NVIDIA's Jensen Huang, and Musk. Critics say a code without actual legislation amounts to little, and similar voluntary pledges have precedents.

  5. The Decoder70

    OpenAI says it stopped a campaign to steal its models' reasoning, but the trick still worked on Azure

    OpenAI disclosed a distillation theft campaign targeting its models' reasoning content: from July 24-25, more than 16,000 requests were made by over 4,000 users, involving more than 15,000 linked accounts. OpenAI said it shut them all down on July 28 and linked the core group to people associated with Moonshot AI (developer of the Kimi model), while noting these were attempted extractions.

  6. TechCrunch · AI73

    OpenAI reportedly in talks to raise $30B round at $1.4T valuation

    According to Bloomberg, OpenAI is in talks with investors to raise at least $30 billion at a valuation of about $1.4 trillion in a pre-IPO round. Its run-rate revenue has grown 70% since July, reaching $40 billion in August; the company previously raised $122 billion at an $852 billion valuation in March, and CEO Sam Altman has ruled out an IPO in 2026, with this round, if completed, serving as a bridge round before the IPO.