New Max Agency!
— LangChain (@LangChain) 23 avril 2026
🎙️ @hwchase17
🎙️ @ListenLabs Co-Founder/CTO @florian_jue https://t.co/CYrls3jBPb
New Max Agency! @hwchase17 @ListenLabs Co-Founder/CTO @florian_jue
AGENTS
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New Max Agency Launches with AI Industry Leaders
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CPUs Critical Infrastructure for Agentic AI Performance
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🔥 Hot take: CPUs don’t get enough credit in agentic AI.
— SambaNova (@SambaNovaAI) 23 avril 2026
They prep data, route requests, and coordinate with accelerators, while also handling everything outside the model like code execution, DB queries, and validation.
Without them, inference can’t keep up 🦾
Do you agree… pic.twitter.com/RzBjFUHACdHot take: CPUs don’t get enough credit in agentic AI. They prep data, route requests, and coordinate with accelerators, while also handling everything outside the model like code execution, DB queries, and validation. Without them, inference can’t keep up Do you agree
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AI Models Automate Self-Jailbreaking Process Advancement
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I mentioned this project in this week's AI Lab newsletter. It suggests a kind of flip side to the idea of self-improvement in AI models. As models become more powerful, it shows they can automate the process of figuring out how to jailbreak themselves and other models remarkably
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Chime’s Jade AI Co-Pilot Heads to LangChain Interrupt Conference
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@Chime is heading to Interrupt. Jade is an AI co-pilot that provides financial education to Chime customers, helping users understand their finances and invest in their future. At Interrupt, the Agent Conference by LangChain, Engineering Lead Philipp Comans will share how
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Codex Ambassadors Program Now Open for Applications
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yes! we've got codex ambassadors program, apply if you haven't already!
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GPT-5.5 Achieves State-of-the-Art Agentic Coding and Tool Use Results
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GPT-5.5 reaches SOTA results across key evals for agentic coding, computer use, tool use, advanced math, and cybersecurity: 82.7% on Terminal-Bench 2.0 and 78.7% on OSWorld-Verified. Rolling out in Codex and ChatGPT today. API coming soon! Full post:
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FASTER: Value-Guided Sampling Improves Reinforcement Learning Efficiency
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"FASTER: Value-Guided Sampling for Fast RL" Instead of fully denoising many action candidates and picking the best one at the end, it learns a critic over the noise seed and selects the promising sample upfront. They showed that the advantage of best-of-N is already visible
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AI-powered news curation tool monitors 50,000 AI posts
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I built an AI that you might like, along these lines. It watches 50,000 in AI here on X: https://
alignednews.com/ai and picks the best stuff for you so you don't have to scroll through 40,000 posts every day. -
Smaller Token Count Improves Agentic Programming Model Performance
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Once again, in agentic programming itself the same pattern. The model achieves better performance using a smaller number of tokens.
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AI Agents, Code Security, and Product-Market Fit Evolution
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Is there such a thing as a stable product-market fit in the age of AI? 🤔
— Predibase by Rubrik (@predibase) 23 avril 2026
On this episode of Dev in the Details, Dev Rishi (GM of AI @RubrikInc) and Varun Badhwar (Founder of @EndorLabs) dive into how AI is evolving, keeping AI Agents and their code secure, and more 👉… pic.twitter.com/qo5HnAhUeQIs there such a thing as a stable product-market fit in the age of AI? On this episode of Dev in the Details, Dev Rishi (GM of AI @RubrikInc
) and Varun Badhwar (Founder of @EndorLabs
) dive into how AI is evolving, keeping AI Agents and their code secure, and more