As always, Nemotron 3 Ultra is fully open. This includes model weights, synthetic data, and post-training recipes. Available now on @huggingface →
CODE
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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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Nvidia AI Ultra model excels at complex tasks with hybrid architecture
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Ultra excels at complex tasks like coding and deep research. Long-running agents spend their time planning, using tools, recovering from failures, and deciding what to do next. The model’s hybrid Mamba-Transformer MoE architecture enables more reasoning cycles within the same
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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.
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Mapping IT Applications for AI Integration: A Challenge and Use Case
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En ce moment, je travaille pour un client qui a besoin de revoir tout son SI, un peu à la traîne, afin d’y intégrer de l’IA. Et le plus difficile, c’est de réussir à cartographier toutes les applications.
— Defend Intelligence (Anis Ayari) (@DFintelligence) 4 juin 2026
Et avec l’IA, c’est un excellent cas d’usage.
Parce que oui, l’IA peut… pic.twitter.com/p3cjvNwgR8Currently, I am working for a client who needs to overhaul their entire IT system, which is a bit behind, in order to integrate AI. And the most difficult part is successfully mapping all the applications. And with AI, this is an excellent use case. Because, yes, AI can
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Stop writing skill files for agents manually; use CLAUDE.md and AGENTS.md
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You can now stop writing skill files for your agent by hand.
— AlphaSignal AI (@AlphaSignalAI) 4 juin 2026
Coding agents forget what you taught them last week.
Every session burns tokens re-explaining your procedures.
CLAUDE.md helps one agent, AGENTS.md helps another.
You maintain both yourself, learning on behalf… pic.twitter.com/eLitYPMaT3You can now stop writing skill files for your agent by hand. Coding agents forget what you taught them last week. Every session burns tokens re-explaining your procedures. CLAUDE.md helps one agent, AGENTS.md helps another. You maintain both yourself, learning on behalf
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Using Opus for every workflow step leads to context dumping
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If you are using Opus for every single step in your workflow, then this post is for you! For example:
searching logs,
finding the right file,
checking where an error happened,
looking through a repo for one function. Then people dump all of that into the same context window and
