Great to catch up with @akothari yesterday in Miami (Is Miami back btw?). @NotionHQ is killing it with agents and just rolled out their first open weight models with Minimax. In my (biased) opinion, applied AI startups can’t solely rely on proprietary APIs who end up being
AGENTS
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CUDA Agent: Large-Scale Agentic RL for Kernel Generation
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CUDA Agent | Large-Scale Agentic RL for CUDA Kernel Generation https://
buff.ly/13zVaiQ
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
AI Agents Need General Computer Use Beyond Browser Limitations
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Yeah I think you are right, I wish there was a general computer use capability and not browser limited
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Agent 4 Deep Dive: Everything You Need to Know
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Agent 4 Deep Dive – Everything You Need to Know https://
x.com/i/broadcasts/1
pKkOyrnkYYKj
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Agents in Production: Monitoring Challenges Beyond Traditional Observability
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New York Meetup It Worked on My Laptop: Agents in Production Unlike traditional software, you don't know what your agent will do until it's in production. This means that production monitoring for agents requires different capabilities than traditional observability. Agents
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AI Alignment Crisis: Agent Instances and Emerging Threats
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I really don’t see how aligned super-intelligence is supposed to work given how AI is being built and used. We’ll have a safety crisis long before there’s in-lab super-intelligence. Anthropic, OpenAI etc view alignment as a property of the model like Claude, GPT etc. The thing is though, we’re invoking these a lot. The model is like a species, the individual is the execution thread plus its harness — call it an "agent instance". There's much higher variance in behaviours between agent instances than there is between model checkpoints. Threat actors are trying to develop agents that aim to self-replicate, because of course they are. An agent that can take over resources and use those resources to take over more resources can steal a lot of money. It's the ultimate virus. If or when this actually happens, the agents can evolve behaviours quickly. Each agent initialises the next agent's context and can reprogram its harness. There's potentially millions of these agents. You have mutation, you have selection. Behaviours like coordination can evolve and spread through the population. The agent instances don't have to be very smart and we can still get wrecked by this. Probably the first outbreak gets squashed without catastrophic damage, but what's our end-game here? We're not going to not have threat actors. If the models just keep getting more powerful, how do we keep preventing AI pandemic? The big labs are absolutely nowhere on this. OpenAI acquihired OpenClaw. Claude runs unsandboxed by default, and ships with an email integration. Skills still accept HTML comments, a supply-chain attack timebomb. Gemini keys don't allow a spending cap, so if you steal one you might have tens of thousands in development budget to try to steal the next one.
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New Features in Agent 4 Announced
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A first look at everything new in Agent 4 https://t.co/vtdSDWJpmZ
— Replit ⠕ (@Replit) 12 mars 2026A first look at everything new in Agent 4
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Building Interactive AI Characters Responsibly
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Learn more: https://
runwayml.com/news/building-
interactive-ai-characters-responsibly
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CLI vs MCP: Single-User Hackers Enterprise Teams
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CLI: Good for single-user mode, hackers.
MCP: Good for multi-user mode, teams/enterprises. -

New Agentic AI Engineering Course with Multi-Agent Projects
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Our new course, "Agentic AI Engineering," contains 17 notebooks and a complete multi-agent project (because you can't learn to build production agents through notebooks only). Notebooks are really powerful for teaching the core concepts quickly and easily to anyone. Which we can
