You can use LangSmith Engine to review your agent traces to find bugs and areas for improvement across agent prompts + code. Between runs, the agent can review conversations, learn from real usage, and update Context Hub files.
LLMS
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MiniMax M3: Open-weights frontier model challenges closed model dominance
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THE ERA OF RELYING EXCLUSIVELY ON THE 3 MAJOR CLOSED MODELS IS OVER@MiniMax_AI's M3 is officially out 💥💥💥
— Charly Wargnier (@DataChaz) 4 juin 2026
It delivers the exact same capabilities you expect from a frontier model, combining massive leaps forward in a highly cost-efficient, open-weights package.
Here's why… pic.twitter.com/NDUppZzMlqTHE ERA OF RELYING EXCLUSIVELY ON THE 3 MAJOR CLOSED MODELS IS OVER @MiniMax_AI
's M3 is officially out It delivers the exact same capabilities you expect from a frontier model, combining massive leaps forward in a highly cost-efficient, open-weights package. Here's why -
AI21 Labs: Reversing agent pipeline order achieves SOTA results
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1/5 Our latest Labs in Front piece: Agent pipeline order matters. By reversing a common agent recipe – scale first, enrich second – we reached SOTA on a Dec ‘25 to Mar ‘26 slice (123 issues): 60.9%.
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Claude’s neurosymbolic code useful, but more AI work needed
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now/years. claude code is neurosymbolic and pretty useful in its domain, but there’s lots more to be done (see my 2020 article Next Decade in AI).
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GPT-4 pricing robots collude in Harvard-Penn State experiment
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Researchers at Harvard and Penn State ran an experiment that should worry anyone who buys anything online. They built pricing robots out of GPT-4 and dropped them into a simulated market as competing sellers. No instruction to cooperate. No way to talk to each other. The only
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Claude mysteriously installs claude.exe on Ubuntu VPS
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No idea how but Claude somehow installed claude.exe on my Ubuntu VPS
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Launching SynthTraces: generating synthetic coding agent traces
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Today I'm launching a new project called SynthTraces It is a minimal codebase to generate synthetic coding agent session traces using Pi (from @badlogicgames
) I wanted a large number of coding-agent traces, so I built a tiny harness where two models talk to each other: – an -
NVIDIA Nemotron 3 Ultra: Open Model for Agentic Tasks
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Introducing NVIDIA Nemotron 3 Ultra.
— NVIDIA (@nvidia) 4 juin 2026
A frontier smart open model built for long-running agents that need to plan, reason, use tools and keep working across complex coding, research and enterprise workflows.
Up to 5x faster inference and up to 30% lower cost for agentic tasks.… pic.twitter.com/AcHTauUzjmIntroducing NVIDIA Nemotron 3 Ultra. A frontier smart open model built for long-running agents that need to plan, reason, use tools and keep working across complex coding, research and enterprise workflows. Up to 5x faster inference and up to 30% lower cost for agentic tasks.
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Nvidia AI releases fully open Nemotron 3 Ultra on Hugging Face
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As always, Nemotron 3 Ultra is fully open. This includes model weights, synthetic data, and post-training recipes. Available now on @huggingface →
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NVIDIA post-trains Ultra for popular agent harnesses
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We post-trained Ultra for popular agent harnesses like @openclaw
, @NousResearch Hermes Agent, and @Langchain
. The result is an open frontier model developers can customize for specialized agents across domains. Read more: https://
nvda.ws/4adkn6J