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AGENTS
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AI21 Labs: Reliability, Key to Unlocking AI Agents’ Potential
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Live from AI Dev 25 x NYC!
Our Co-founder & CEO @origoshen is on stage right now discussing why reliability is the bottleneck for agents and how to unlock their full potential.
Hosted by @DeepLearningAI_ and @AndrewYNg -
Replicating AI Products with Claude and MCP Tools
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How many AI products / startup can be replicated just with Claude + an MCP tool?
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Gemini 3.0 Pro Preview spotted in Gemini Enterprise
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BREAKING : Gemini 3.0 Pro has been spotted in Gemini Enterprise in the Agent model selector. Gemini 3.0 Pro Preview
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Misunderstanding of Corrigibility Problem in AI Alignment
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> the concern that corrigibility is in some sense a very anti-natural shape… Here, the basic vibe is something like: advanced, intelligent, self-aware minds have a strong tendency to want to “do their own thing” This doesn't sound like you understood the problem at all.
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Corrigibility’s Challenge: Tensions with Coherent Reasoning
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Corrigibilty is hard for different reasons from value alignment. Namely, that it cuts against the grain of coherent reasoning. This is harder to explain and fewer people ask about it, so it is little covered in the book. See eg https://
lesswrong.com/w/problem-of-f
ully-updated-deference
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Human-AI teaming necessity in high-stakes combat environments
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Human-AI teaming is not optional. It is the only viable operational model in high-stakes environments like active combat theatres.
— Nina Schick (@NinaDSchick) 12 novembre 2025
Dr. Craig Martell's point—that AI systems are statistical and will be wrong sometimes, is an important one.
We cannot treat AI as oracle. AI moves… pic.twitter.com/yoW9imkrU7Human-AI teaming is not optional. It is the only viable operational model in high-stakes environments like active combat theatres. Dr. Craig Martell's point—that AI systems are statistical and will be wrong sometimes, is an important one. We cannot treat AI as oracle. AI moves
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Podcast Discussion: Jetsons, Robots, Dexterity, and Research Art
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Always fun talking with @bheater! In this 60-min podcast we discuss the Jetsons TV show, humanoid hubris, the robot data gap, why robot dexterity is hard, and around minute 49:00: the similarities between art and research. https://t.co/sBveJqtUC4
— Ken Goldberg (@Ken_Goldberg) 12 novembre 2025Always fun talking with @bheater
! In this 60-min podcast we discuss the Jetsons TV show, humanoid hubris, the robot data gap, why robot dexterity is hard, and around minute 49:00: the similarities between art and research. -
MCP usefulness varies by tool integration and CLI capabilities
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I think they is "some" MCP use cases. The ones where a good CLI tool exist + the models know how to use it well (gh is one of those) will make the MCP for those less useful. For everything else – e.g., Notion, HubSpot, Airtable, Calendars, Linear, … I think you will still want