Benchtalks #2: @jyangballin
, creator of SWE-bench, fresh off ProgramBench (every frontier model: 0% at launch). Out soon with @vincentsunnchen
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AGENTS
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Benchtalks #2: SWE-bench creator jyangballin discusses ProgramBench and upcoming project
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Taiwan powers global AI factory buildout with accelerated computing and AI agents
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Taiwan isn’t just building AI infrastructure, it’s powering the world’s AI factory buildout. 👏
— NVIDIA (@nvidia) 2 juin 2026
From fabs to factory floors, leaders like TSMC, Foxconn, QCT, Pegatron, and Wistron are using accelerated computing, digital twins, and AI agents to transform how AI systems are… pic.twitter.com/E50uZG0t3lTaiwan isn’t just building AI infrastructure, it’s powering the world’s AI factory buildout. From fabs to factory floors, leaders like TSMC, Foxconn, QCT, Pegatron, and Wistron are using accelerated computing, digital twins, and AI agents to transform how AI systems are
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LangSmith Studio adds one-click Deploy button for agents
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🚀 Go from prototype to production in one click.
— LangChain (@LangChain) 2 juin 2026
We added a new Deploy button to LangSmith Studio, so you can deploy your agent directly to LangSmith Deployment. pic.twitter.com/TtdjR8LLsjGo from prototype to production in one click. We added a new Deploy button to LangSmith Studio, so you can deploy your agent directly to LangSmith Deployment.
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NemoClaw on DGX Spark: AI agent from unboxing in minutes
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From unboxing to AI agent in minutes. Getting an agent running used to mean sourcing a model, configuring an inference backend, installing a runtime, and wiring it all together. The new NemoClaw install path on DGX Spark replaces that with a single command. DGX Spark also
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AI agents’ delegation layers become dependencies and risk
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AI agents make work easier by adding layers of delegation. Awesome! Well…those layers become dependencies, and those dependencies become risk. Not awesome? My @InfoWorld column tackles some recent @mitchellh advice and finds it…mostly good, most of the time
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NVIDIA MGX Enables Agentic Era AI Factories with Vera Rubin
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What does it take to build an AI factory ready for the agentic era?
— NVIDIA (@nvidia) 2 juin 2026
80+ partners joined Jensen Huang at #NVIDIAGTC Taipei to show how NVIDIA MGX is making it possible.
With NVIDIA Vera Rubin, 800 VDC, and partners spanning systems, power, and cooling, NVIDIA MGX is turning… pic.twitter.com/f7F4gjtAf5What does it take to build an AI factory ready for the agentic era? 80+ partners joined Jensen Huang at #NVIDIAGTC Taipei to show how NVIDIA MGX is making it possible. With NVIDIA Vera Rubin, 800 VDC, and partners spanning systems, power, and cooling, NVIDIA MGX is turning
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Tokens as insane leverage: Codex on one machine example
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And this is just Codex, on one machine. Doesn’t even include my other machine, Claude, and Agent-S tokens. Tokens, when used correctly, are insane leverage.
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LangChain congratulates OdessiaTravel on its AI travel agent launch
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🎉 Congratulations to @OdessiaTravel on their public launch!
— LangChain (@LangChain) 2 juin 2026
Odessia is an AI-powered travel agent that allows users to plan and book entire trips in one conversation.
The team used LangSmith and LangGraph to quickly build, orchestrate, and optimize high-performance, resilient… https://t.co/3ht0Jtt02H pic.twitter.com/a7DS3kUuULCongratulations to @OdessiaTravel on their public launch! Odessia is an AI-powered travel agent that allows users to plan and book entire trips in one conversation. The team used LangSmith and LangGraph to quickly build, orchestrate, and optimize high-performance, resilient
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NVIDIA announces Vera CPU: 80% faster agentic task completion than x86
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The AI era needs a new CPU.
— NVIDIA (@nvidia) 2 juin 2026
Meet NVIDIA Vera, 80% faster agentic task completion than x86.
Built for AI factories. Built for what's next. The CPU for agents has arrived.
🔗 https://t.co/Qe1S4f4Qz5 pic.twitter.com/p7nh6ot6r8The AI era needs a new CPU. Meet NVIDIA Vera, 80% faster agentic task completion than x86. Built for AI factories. Built for what's next. The CPU for agents has arrived. https://
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Custom Notion agent to @mention users into a base
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i need a notion custom agent to @ them into a base!