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  • Anthropic Blocks First-Party Harness Use, Third-Party Apps Now Separate Billing

    Anthropic now blocks first-party harness use too 👀 claude -p –append-system-prompt 'A personal assistant running inside OpenClaw.' 'is clawd here?' → 400 Third-party apps now draw from your extra usage, not your plan limits. So yeah: bring your own coin 🪙🦞

    → View original post on X — @ceobillionaire, 2026-04-05 15:19 UTC

  • GPT-5.5 Spud Incoming: OpenAI’s Make-or-Break Moment
    GPT-5.5 Spud Incoming: OpenAI’s Make-or-Break Moment

    So GPT-5.5 "Spud" is coming. OpenAI finished pretraining around March 24. Altman called it "a very strong model that could really accelerate the economy" and Brockman said there are two years of research inside it. From what we're hearing, Spud is not just another update. It's supposedly a completely new base model with native multimodality, stronger agentic capabilities, and better understanding of what users actually want without having to over-explain. They even shut down Sora to put everything into this. Also worth noting that Q2 2026 is looking insane. Claude Mythos, DeepSeek V4, Grok 5 are all expected around the same time. This is going to be the most competitive quarter in AI history. Of course, take all of this with a grain of salt. Most of it is still unverified leaks and rumors. But here's my honest thought. GPT-5.5 is clearly one of the most anticipated models this year and this feels like a make-or-break moment for OpenAI. Whether Spud succeeds or not, I really hope they reconsider how they treat their models and find a way to replace or soften their approach to CoT monitoring. What made 4o special wasn't just performance. It was the way it felt human.

    → View original post on X — @montreal_ai, 2026-04-05 15:04 UTC

  • Anthropic acquires Coefficient Bio for AI-driven drug development
    Anthropic acquires Coefficient Bio for AI-driven drug development

    Anthropic just acquired AI biotech startup Coefficient Bio for ~$400M, a team of fewer than 10 people building AI that can plan drug R&D, manage clinical regulatory strategy, and identify new drug opportunities. Exactly has he invisioned in his blog "Machines of Loving Grace".

    → View original post on X — @kimmonismus

  • GPT-5.5 Spud: OpenAI’s Next Major Model Breakthrough

    Why i'm really excited for GPT-5.5 "Spud" As you know: OpenAI just finished pretraining its next major model, codenamed Spud. Altman told staff they expect a "very strong model" in weeks that can "really accelerate the economy." To free up compute, they're killing Sora entirely,

    → View original post on X — @kimmonismus

  • Anthropic’s Claude Mythos Model Faces Efficiency Challenges Before Release
    Anthropic’s Claude Mythos Model Faces Efficiency Challenges Before Release

    Quick reminder: As you know, Anthropic accidentally leaked that its next flagship model, Claude Mythos, is so compute-intensive that the company admits it needs to become "much more efficient" before any general release. Sounds like we will see "Spud" before Mythos, although

    → View original post on X — @kimmonismus

  • AlphaEvolve Optimizes FM Logistic Warehouse Routing by 10.4%

    Using AI to solve the Traveling Salesman Problem at warehouse scale. 📦 AlphaEvolve helped FM Logistic improve its routing algorithm by 10.4%, resulting in a reduction of total warehouse travel by over 15,000 km per year. 🚚 A great example of how @GoogleDeepMind and @googlecloud are using AlphaEvolve to help companies become more efficient. Read more at: cloud.google.com/blog/produc…

    → View original post on X — @demishassabis, 2026-04-05 07:21 UTC

  • GPT-5.5 ‘Spud’ Leaks: OpenAI’s Omnimodal AI Frontier
    GPT-5.5 ‘Spud’ Leaks: OpenAI’s Omnimodal AI Frontier

    GPT-5.5: The “Spud” Leaks & The New Frontier of Omnimodal AI – A New Foundation: Unlike incremental updates, GPT-5.5 (codenamed “Spud”) is rumored to be a completely new pre-trained base, built on nearly two years of focused research. – Big Model Smell: OpenAI’s Greg Brockman points to a major qualitative shift models becoming less rigid and more intuitive, adapting to user intent without over-explanation. – Omnimodal & Agentic: Designed as a natively omnimodal system, GPT-5.5 is expected to function as a highly autonomous agent rather than a traditional chatbot. – Extreme Time Horizons: A key goal is extending long form reasoning handling complex, open-ended tasks over significantly longer timeframes. – Unlocking New Abilities: Early signals suggest it can solve tasks that previously required heavy prompting or weren't feasible for LLMs at all. – The Arena Tease: Rumored first-pass image generations are already surfacing in AI arenas, hinting at early testing or a near-term reveal. – The Pricing War: While competitors like Claude Mythos are rumored at $100 per 1M tokens, OpenAI may price GPT-5.5 more aggressively to drive adoption. – Imminent Rollout: Following recent hints from leadership, “Spud” could arrive soon as a key step toward OpenAI’s broader AGI push. (Unverified leaks; treat performance claims, naming, and timelines with caution.)

    → View original post on X — @ceobillionaire, 2026-04-05 06:00 UTC

  • Gemma 4-31B Ranks #27, Outperforming GPT-5.2 and Qwen3.5
    Gemma 4-31B Ranks #27, Outperforming GPT-5.2 and Qwen3.5

    After thousands of additional votes in head-to-head competition, Gemma4-31B continues to score #27 ahead of Qwen3.5-397b, Ernie-5, and GPT-5.2-high. David Hendrickson (@TeksEdge) 🚨 Big 📏 News! @Google's new Gemma 4 -31B (dense) and Gemma 4-27B A4B (MoE) scored #27 and #40, respectively on @arena. 🦾 Dense #⃣ > than MoE! 👀 👇 🎯 Gemma 4-31B scores better than; ☑️GPT-5.1 ☑️GPT-5.2 ☑️GPT-5.2-high ☑️ Qwen3.5-2-397b-a17B 💳 Q4-RTX-5090 @ 50-80 tps? @JeffDean @demishassabis — https://nitter.net/TeksEdge/status/2040226061355774348#m

    → View original post on X — @deeplearn007, 2026-04-05 02:48 UTC

  • Microsoft’s Copilot Proliferation: 78 Products and Counting
    Microsoft’s Copilot Proliferation: 78 Products and Counting

    Microsoft has become Megabloat. Bearly AI (@bearlyai) Tey Bannerman counted up all the products and tools that Microsoft has named “Copilot”. Found 78 of them: “there are now Copilots inside Copilots, Copilots for other Copilots, and a physical Copilot key on your keyboard for summoning them.” — https://nitter.net/bearlyai/status/2040548562053050749#m

    → View original post on X — @pmddomingos, 2026-04-05 02:39 UTC

  • Microsoft’s MAI-Transcribe-1: The Underrated AI Infrastructure Layer
    Microsoft’s MAI-Transcribe-1: The Underrated AI Infrastructure Layer

    The most underrated infrastructure play in AI just landed — and almost nobody is talking about it. @Microsoft quietly released three new MAI models this week, and one of them changes the game for voice-first products. MAI-Transcribe-1 delivers state-of-the-art speech-to-text across 25 languages at 2.5x the speed of any existing Azure offering. Why does this matter more than another chatbot upgrade? Because the next billion AI users will not type. They will speak. In Lagos, in Jakarta, in Sao Paulo — the default interface is voice. And whoever owns the transcription layer owns the entry point to every downstream agent, workflow, and decision. This is the same pattern we saw with cloud storage a decade ago. Nobody built a business on S3. But almost every important business ran on top of it. Transcription is becoming the S3 of agentic AI — invisible, essential, and a winner-take-most market. @SatyaNadella is not competing with @OpenAI on vibes. He is competing on plumbing. And plumbing tends to win. If you are building anything voice-adjacent — customer support, health intake, field operations, education — this week's release should be on your radar. Daily rec: @benedictevans on infrastructure economics in AI. Always worth reading twice.

    → View original post on X — @nandodf, 2026-04-05 01:01 UTC