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
TOOLS
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Launching SynthTraces: generating synthetic coding agent traces
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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://
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Ultra excels at large codebases, long reasoning chains, and multi-source synthesis
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Beyond benchmark performance, Ultra can work through large codebases, reason across long chains of tool calls, and synthesize information gathered from hundreds of sources. pic.twitter.com/itDu34WVHk
— NVIDIA AI (@NVIDIAAI) 4 juin 2026Beyond benchmark performance, Ultra can work through large codebases, reason across long chains of tool calls, and synthesize information gathered from hundreds of sources.
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OpenAI and Anthropic documentation lags products with obsolete advice
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In general, OpenAI and Anthropic documentation lags their own products by months, and both companies have tons of obsolete and contradictory advice scattered around their sites.
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Reducing AI Hallucinations: Techniques and Justification with Code Examples
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Full send! If you have techniques to reduce hallucinations, I'm all ears. I ask it to justify each conclusion precisely with examples and references within the code. It works well, but I think we can do better.
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AI coding tools expand features but remain poorly documented
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The capabilities of Claude Code and Codex have expanded a lot in recent months, they added many ways to approach work (subagents, skills, goal, workflows, plugins, etc). Given the AI labs can use their own AI to help documentation, a surprising amount is effectively undocumented
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Copilot SDK can now be used as a harness
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That works for quite a while; new is that you can even use Copilot SDK as harness.
