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
AGENTS
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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 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 -
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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Nvidia Nemotron 3 Ultra: 550B MoE open frontier model
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Today we're shipping Nemotron 3 Ultra.
— NVIDIA AI (@NVIDIAAI) 4 juin 2026
A 550B MoE frontier-intelligence open model built for long-running agents.
It delivers 5x faster inference and lowers the cost of complex agentic tasks by up to 30% versus other open frontier models. pic.twitter.com/FEXqvfzQFOToday we're shipping Nemotron 3 Ultra. A 550B MoE frontier-intelligence open model built for long-running agents. It delivers 5x faster inference and lowers the cost of complex agentic tasks by up to 30% versus other open frontier models.
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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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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