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Oct 9

TodayOct 9Fri245 items
  1. SiliconANGLE · AIAI score40

    OpenAI reports $18 billion less revenue, hitting AI stocks Thursday

    AIOpenAI told investors it had $18 billion less revenue than the $68 billion it reported last month, and AI-linked stocks including Nvidia, CoreWeave, Oracle and Nebius fell Thursday. Google debuted a Gemini assistant that can act autonomously, generate code and complete work across web, mobile and desktop. Anthropic released Claude Haiku 5.5 and halved Sonnet 5.5 cache read prices.

  2. The Guardian · AIAI score38

    Britain's advertising directors fear AI will cut off the next generation's training

    AIWPP has opened a flagship AI-enabled production facility in east London as part of a £600m WPP Production business, with CEO Cindy Rose saying AI is ushering in a "golden age of marketing". Some AI-led ads can be made up to 60% cheaper, one industry source says, while critics including Luke Scott warn that a lost generation of directors may miss the hands-on training that built careers like Ridley Scott's.

  3. elvisAI score60

    Meta researchers propose agent plasticity to measure self-improvement efficiency

    AIResearchers from UC Berkeley, Meta Superintelligence Labs, and other institutions introduce agent plasticity, the gain on held-out tasks per dollar of learning cost, with model weights frozen. The paper reports that in chess, Go, and Hex, Claude Fable 5 reaches the highest final score while GPT-5.6 Sol gains the most per dollar, and in NetHack only Claude Opus 5.5 improves significantly.

    Image from @omarsar0's post
  4. 404 MediaAI score11

    Behind the Blog: 404 Media discusses AI and spirituality

    AI404 Media's Behind the Blog column discusses AI and spirituality, with Jason saying the outlet writes about AI's current capabilities and harms rather than dismissing it outright. He says reporters sometimes test AI tools while working on stories to write from an informed perspective. The excerpt does not say more about the spirituality discussion.

  5. TechCrunch · AIAI score42

    A16z's Olivia Moore says consumer AI has untouched categories and early revenue potential

    AIAndreessen Horowitz partner Olivia Moore's report on the top 100 consumer AI apps finds ChatGPT still leads by a wide margin, with Suno and ElevenLabs showing staying power. Moore says social, dating, marketplace, retail, travel, finance and health categories have no entrants in the list. She argues consumer AI should monetize through ads rather than subscriptions, noting only 2.2% of U.S. households pay for AI.

  6. Mike KnoopAI score62

    Tufa Labs hits 88.06% on ARC-AGI-2, clearing the Kaggle bonus threshold

    AIMike Knoop says the 85% Grand Prize bonus threshold has been reached on Kaggle. The ARC Prize 2026 leaderboard lists Tufa Labs first at 88.06%, followed by Rabbithole at 80.56% and Yi-Chia Chen at 77.22%. Knoop says this will be the final year for ARC-AGI-2 on Kaggle and expects an open-source, low-cost, offline reproducible solution and model.

  7. The Algorithmic BridgeAI score40

    Meta's AI comeback follows heavy Anthropic Claude spending and a new Muse Spark model

    AIMeta spent heavily on Anthropic's Claude models, with internal use reaching up to 60,000 employees and a projected $10 billion yearly spend, according to The Algorithmic Bridge. The author says Meta then released Muse Spark, which scored 52 on the Artificial Analysis intelligence benchmark, on par with Claude Opus 4.6.

  8. Tessl BlogAI score36

    Tessl's agentic code review splits PR checks into standards, lenses, and memory

    AITessl Blog describes an agentic code review workflow built for teams whose coding agents produce pull requests faster than humans can review them. The workflow runs review against a written standard in the repository, applies four parallel perspectives covering correctness, security and privacy, scale and resilience, and maintainability, then records each finding, verdict, and response. Tessl Code Review, which the post says is free to start, runs these perspectives as skills, and the team's memory of past decisions is fed back into the standard.

  9. Ai2 (Allen Institute for AI)AI score46

    Ai2 describes GPU time budgets that replaced its priority-based cluster scheduler

    AIAi2's AI Infrastructure team replaced its priority-based scheduler for GPU clusters with GPU time budgets, hierarchical fair-share allocation, and a time-slicing contract. The team says the change moved debates over how much GPU time each research project deserves from case-by-case operational decisions into a transparent budgeting process. The clusters range from 88 to 1024 GPUs across NVIDIA H100, B200, and B300 hardware, and serve about 150 internal researchers.

  10. AWS Machine Learning BlogAI score67

    How Postman runs Agent Mode for 40 million developers on Amazon Bedrock

    AIPostman describes the architecture behind Agent Mode, its AI agent for API testing, documentation, discovery, and implementation. The post covers limiting tools per task, using schema-based queries, building purpose-shaped context handlers, and running on Amazon Bedrock with cross-Region inference and prompt caching. Postman reports that tool-selection errors rose once the visible toolset exceeded about 40 tools.

    Why it matters: The post shows concrete patterns for tool scoping, context handling, and Bedrock routing and caching, which apply to any team moving an agent past a prototype.

  11. AWS Machine Learning BlogAI score36

    AWS recaps September 2026 Bedrock, AgentCore, and Strands updates for AI builders

    AIAmazon Bedrock Managed Agents, powered by OpenAI, entered public preview, and OpenAI's GPT-6 Astra, GPT-6.1 Sol, and GPT-6.1 Luna became generally available on Amazon Bedrock. AWS also released Strands Decider 2B, a 2B-parameter open source decision model that answers in about 115ms locally, and said the Strands harness uses 28 percent fewer tokens than popular harnesses while matching their accuracy.

  12. Hugging Face BlogAI score38

    Ai2 replaces priority scheduler with GPU time budgets for cluster allocation

    AIAi2's AI Infrastructure team replaced its priority-based GPU cluster scheduler with a system using GPU time budgets, hierarchical fair-share allocation, and a time-slicing contract. The team says the change turns decisions about how much GPU time each research project receives into a transparent administrative budgeting process. Its clusters, which range from 88 to 1024 GPUs including H100, B200, and B300 units, serve about 150 researchers facing demand two to three times available capacity.

  13. ElevenLabsAI score32

    ElevenLabs partners with Banner Health on AI voice agents for patient calls

    AIElevenLabs says it is partnering with Banner Health to answer patient calls with AI voice agents, starting with primary care scheduling. The ElevenAgents system books, reschedules, or cancels appointments directly in Banner's electronic medical record at any hour, and transfers calls to a Banner team member with context when a patient asks for a person.

    Image from @ElevenLabs's post
  14. elvisAI score40

    Syren Video learns your style to build AI videos from prompts

    AISyren Video, a new agentic video tool, learns preferred graphics, motion, and editing rhythm from a user's library and generates new videos from a prompt. Users refine the results through chat, and the tool is free to try in a browser or through Claude MCP, per the company's announcement. The post's author says the education sector is exploring it.

  15. Andrew CurranAI score62

    OpenAI responds to three fired employees' letter on safety and trust

    AIOpenAI's research leaders say they parted ways with Jasmine, Mikita, and Tomek after an investigation found they violated policies on handling sensitive information. The company says the decision was not about raising safety concerns and that it is finalizing contracts with third-party safety assessors, with details to follow in the coming weeks.

  16. Rohan PaulAI score46

    Sabi raises $50M to build AI brain-reading baseball cap

    AISabi has raised a $50M seed round led by Vinod Khosla and Accel to build a baseball cap that turns brain signals into AI prompts. The cap can hold up to 100,000 sensors of 1 to 5 millimeters each, feeding a brain foundation model trained on 100,000 hours of labeled neural recordings. Sabi says the cap can predict a user's next 3-4 keystrokes from brain signals before they type them.

    Image from @rohanpaul_ai's post
  17. 🚨 AI News | TestingCatalogAI score62

    Sabi raises $50M for a wearable brain-reading cap

    AISabi has raised $50M from Khosla Ventures, Accel, Initialized, DST, and Collab Fund, with Kevin Weil also participating. The company is building the Sabi Cap, a non-invasive wearable that aims to read brain signals and turn thoughts into text. Sabi says it designs its own custom chips and neuroimaging sensors, including a non-contact EEG chip fabricated by TSMC.

    Image from @testingcatalog's post
  18. SantiagoAI score43

    Sabi raises $50 million for a wearable brain-to-text cap

    AISabi has raised $50 million from Khosla Ventures, Accel, Initialized, Kevin Weil, and DST Global to build a wearable brain-computer interface. The company says its TSMC-fabricated chip reads brain signals without touching the scalp, with custom sensors collecting data and its own AI model decoding it into text. The device is a cap rather than an implant.