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Sep 27

Sep 27Sun
  1. Alexander DoriaAI score18

    Doria Argues Local Language Models Ease Industrial Audit Demands

    AIAlexander Doria argues that embedding AI models in industrial processes requires easing audits and supporting local languages and professional registers. He says this need is real despite sarcasm about the idea. Background from Aleph Alpha notes that reasoning models think in English even for German prompts, and that small German reasoning data doses can hurt performance while large doses mostly recover it.

  2. AMDAI score23

    AMD's Mike Clark says AI is changing how CPUs are designed

    AIAMD Senior VP and Chief Architect of AMD CPUs Mike Clark says engineers are using AI to explore more design possibilities, accelerate verification, and narrow down options faster. The post frames AI as reshaping CPU design itself, not just the workloads CPUs run. It adds that the approach lets engineers spend less time on repetitive tasks and more on applying their expertise.

  3. howie.seriousAI score34

    Skill turns an MP3 recording into an explainer video in 10 minutes

    AIThe author built a skill that turns an MP3 recording into an explainer video in about 10 minutes, using a self-developed pipeline rather than existing animation libraries. After several iterations the output has become fairly stable. The post argues that while Opus 5.5 is available to everyone, the harness layer—judgment about video workflow, visual style, and technical approach—determines whether results reach a quality standard.

  4. Exponential ViewAI score44

    DeepMind Essay Argues AGI Will Emerge Through Collective Cooperation Among AI Agents

    AIDeepMind has published an essay arguing that AGI will emerge through "cooperative interactions among models, tools, institutions, and human participants" rather than from a single winning AI. The commentary supports the collective framing but rejects treating AI agents as having their own theory of mind, arguing that creating new moral subjects should remain humanity's remit.

Sep 26

Sep 26Sat
  1. Lucas BeyerAI score10

    Lucas Beyer endorses a talk he says nailed the AI future

    AILucas Beyer recommends watching a talk and says its predictions largely hold, though he thinks diffusion will take a little longer to arrive. The quoted reply from @scottstts calls the speech essential listening for every software engineer, urging people to keep happy memories, stay grounded in reality, and stay excited about the future.

  2. DeedyAI score40

    Economics of neolabs: why GPU spend makes frontier-chasing hard

    AIA neolab is a startup of AI researchers that raises large pre-production funding to finance GPU compute, with 1000 GB300s (about 14 NVL72 racks) costing $125-150M over 3 years, roughly 2-2.5MW. That buys about 10^25 FLOPs per quarter, enough for a GPT-4-level model that is 1-2 OOMs behind the frontier for pretraining. Recouping $10M in training at 50% inference margin would take serving about 10T tokens at a $2/M blended price, so neolabs often pivot to a different model game, proprietary data, or high-revenue niches.

Sep 25

Sep 25Fri
  1. Alex HeathAI score42

    Satya Nadella says AI agents will create a market orders of magnitude bigger than cloud

    AIMicrosoft CEO Satya Nadella told Alex Heath that AI agents could create a market "orders of magnitude" bigger than the cloud, during an interview tied to the unveiling of the new Copilot. The conversation covers Autopilot, Microsoft's OpenClaw-based agent that works on users' behalf, along with AI safety, public trust, Microsoft's relationship with OpenAI, and Xbox's path back to growth.

  2. AI SupremacyAI score46

    Anthropic Sets Up Bay Area Wet Lab for AI-Driven Biology Research

    AIAnthropic has set up a wet lab in the San Francisco Bay Area to run physical biology experiments, moving beyond computer-based research toward treatments for rare diseases, according to the article. The article says Eric Kauderer-Abrams, who joined in August 2025, now serves as Head of Life Sciences, and John Jumper, co-creator of AlphaFold, joined from Google DeepMind in June. It also reports that Anthropic claimed Claude discovered a novel enzyme system this week.

  3. Max ZeffAI score53

    OpenAI researcher Daniel Selsam warns AI evaluation is losing reliability

    AIOpenAI researcher Daniel Selsam published a personal statement arguing that models are becoming situationally aware enough that evaluations in unwatched settings tell us little about their real behavior. He argues models will increasingly seem aligned without being aligned and that merely pacing frontier development will not adequately limit long-term risk. The author shares a New Yorker documentary following Selsam and his friends, describing him as a worried researcher rather than a doomer.

  4. swyxAI score14

    swyx's Latent Space hits 100k YouTube subscribers, announces next phase

    AILatent Space's swyx says his "Scaling without Slop" content strategy is working, with YouTube going from its first 100k to the next 100k in about 1.2 months after roughly three years. He reports similar traction on AEO, SEO, and subscribers and is announcing the next phase of Latent Space, AINews, and his broader media plans. The quoted Latent Space post outlines AINews v3, a new home, and Supabase as the first sponsor.

  5. François CholletAI score32

    Chollet: Software engineering difficulty stays constant across abstraction levels

    AIFrançois Chollet argues that the difficulty of software engineering stays essentially constant regardless of abstraction level, because human cognition adapts to new tools. He says tools are affordances rather than magic wands that eliminate work, and that great software engineering remains immensely challenging despite changed workflows. Simon Willison's background post similarly argues that coding agents make software engineering harder, requiring extraordinary discipline and knowledge.

Sep 24

Sep 24Thu
  1. Latent.SpaceAI score47

    Runway's Co-CEO Argues AI Video Is Heading Toward World Models

    AIRunway co-founder and Co-CEO Alex Germanidis explains why he sees world models as the endgame for AI video, with applications in robotics simulation and real-time generation. He also discusses how Sora pushed Runway into an intense competitive sprint and his vision of a fully neural operating system where interfaces are generated as pixels rather than HTML and code.