I write about this in more detail in a blog post with a guest contribution from Isaac Rajagopal, a student at MIT on whose work ChatGPT built, who gives his assessment of the level of mathematical ability displayed by the model. https://
gowers.wordpress.com/2026/05/08/a-r
ecent-experience-with-chatgpt-5-5-pro/
…
LLMS
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ChatGPT 5.5’s Math Skills Analyzed
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DeepMind solves 48% of a complex math benchmark
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Google DeepMind's AI co-mathematician just scored 48% on FrontierMath Tier 4, a new high on a benchmark of 50 research-level math problems some professors expected AI wouldn't touch for decades. The system generated a proof so flawed its own reviewer flagged it as wrong. But
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Anthropic Introduces Managed Agents Feature for Claude
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In the future, you’ll be able to accomplish a goal by just giving Claude an outcome and a budget.
— Dan Shipper 📧 (@danshipper) 8 mai 2026
That’s the direction Anthropic is building in with its new Managed Agents features, announced at this week’s Code with Claude developer event. The basic idea: Claude, wrapped in a… pic.twitter.com/zmKaR99GdjIn the future, you’ll be able to accomplish a goal by just giving Claude an outcome and a budget. That’s the direction Anthropic is building in with its new Managed Agents features, announced at this week’s Code with Claude developer event. The basic idea: Claude, wrapped in a
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Domino platform integrates AI lifecycle management from training to deployment
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84% of developers use AI to code (Stack Overflow, 2025). Most stop at autocomplete. Inside Domino, your assistant learns the rest of the lifecycle. Training. Deployment. Governance. Monitoring. Same prompt. Whole platform. Blueprint: https://
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Architecting Infrastructure for Long-Horizon AI Agents
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Join our live session and learn: How to think about the agent harness vs. the runtime layer underneath it What infrastructure long-horizon agents need for durable, stateful execution How to plan for memory, recovery, human intervention, observability, and scale Why
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Technical Production Requirements for Long-Horizon AI Agents
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Long-horizon agents introduce production requirements that short-running agents don’t: durable execution, state management, recovery, memory, observability, and human oversight. On May 28th, join @sydneyrunkle for a live session on The Runtime Behind Production Long-Horizon
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ByteDance AI Video Model Sparks China’s Next Big Moment
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ByteDance’s new AI video model goes viral as China looks for second DeepSeek moment
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @timnitgebru @oriolvinyalsml @ceobillionaire @soumithchintala @waitin4agi_ @sallyeaves @bernardmarr -
Hardening agentic stacks against reasoning and tool parsing drift
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Most agentic stacks run into the same problems pretty quickly: reasoning and tool parsing drift across turns, KV cache reuse falls apart, or tools fire too late. We’ve been hardening Dynamo’s harness-facing path so @Claudeai Code, @OpenClaw
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ClickUp launches Brain² with advanced AI models
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ClickUp has launched Brain², which automatically wires in your company's projects, org setup, and decisions as context for any frontier model you choose.
— 🚨 AI News | TestingCatalog (@testingcatalog) 8 mai 2026
It allows you to pick models like Claude 4.7, GPT 5.5, or Gemini 3.1, and Brain compresses everything your team knows before… pic.twitter.com/CTTGgrUPVrClickUp has launched Brain², which automatically wires in your company's projects, org setup, and decisions as context for any frontier model you choose. It allows you to pick models like Claude 4.7, GPT 5.5, or Gemini 3.1, and Brain compresses everything your team knows before