The Grounded Reasoning Cup is live at #DataAISummit 2026! Over the next few hours, 12 teams from leading universities go head-to-head in a live AI agent championship, tackling real-world enterprise reasoning challenges using models from @GoogleDeepMind
, @AnthropicAI
, and
AGENTS
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Grounded Reasoning Cup live at DataAISummit 2026
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Request for Cursor AI to support 1M context models with BYOK
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Need @cursor_ai to add support for 1m context models with BYOK, defaults at 200k…
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Context-aware AI agent Genie Code for data engineers
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For data engineers, data scientists, ML engineers, and analysts, context matters. A useful AI agent needs to understand not just the code, but the data it depends on, the assets it may affect, and the environment where it will run. That’s why we built Genie Code. With Genie
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GoalOS Mission OS: The Proof OS for Autonomous AI Work
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AI does not need to produce more output. It needs to produce proof. I’m sharing my paper: GoalOS Mission OS: The Proof OS for Autonomous AI Work The thesis is simple: AI creates output.
GoalOS creates proof. Today’s models can answer.
Agents can act.
But institutions need -
Stanford scholars: AI coding agents lack collaboration, need social intelligence
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AI coding agents lack a critical skill: collaboration. @Stanford scholars believe it’s a solvable problem if we train models in social intelligence.
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Deep Agents Part 3: Delegation with Built-in Sub-Agents
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Deep Agents deep dive part 3 | Delegation
— LangChain (@LangChain) 17 juin 2026
TLDR:
A planning tool that allows the model to organize work for challenging tasks.
Equipped with subagent support out of the box.
A 90 second explanation from @SydneyRunkle pic.twitter.com/6GTyaGjpegDeep Agents deep dive part 3 | Delegation TLDR:
A planning tool that allows the model to organize work for complex tasks. Equipped with built-in support for sub-agents from the start. A 90-second explanation by
@SydneyRunkle -
GoalOS Mission OS: The Proof OS for Autonomous AI Work
By
–
AI does not need to produce more output. It needs to produce proof. I’m sharing my paper: GoalOS Mission OS: The Proof OS for Autonomous AI Work The thesis is simple: AI creates output.
GoalOS creates proof. Today’s models can answer.
Agents can act.
But institutions need -
Parents’ full name trick applied to AI agents for informal chat
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You know when your parents call you by your full name and you know you're in trouble? I just spoke with someone who uses the same trick with their AI agents. If they use the nickname, that means that they want their agent to chat with them more informally, easy language,
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Fable uses ThreeJS and GPT-Realtime-2 for interactive kid experience
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Under the hood, Fable generates the world with ThreeJS, and GPT-Realtime-2 lets the kid answer out loud, ask questions, etc. As you can see, there are still small issues and paper-cuts throughout (it's a POC!), but the possibility of what this could become is absolutely insane!
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Apodex 1.0-H: New Benchmark in Deep Research
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Apodex 1.0-H is reported as the new state-of-the-art across both open and closed systems on the public deep-research suite, achieving scores of 90.3 on BrowseComp, 94.4 on DeepSearchQA, and 87.4 on FrontierScience-Olympiad. The weights are released under the Apache 2.0 license: Apodex 1.0-mini at 35B-A3B.