Damn! Codex finished the task in 2 minutes. Claude Code took 30 minutes and failed.
→ View original post on X — @romainhuet, 2026-03-30 17:22 UTC
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Damn! Codex finished the task in 2 minutes. Claude Code took 30 minutes and failed.
→ View original post on X — @romainhuet, 2026-03-30 17:22 UTC
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How to Build an Autonomous 24/7 Agent (feat. Shubham Saboo) nitter.net/i/broadcasts/1dJrPEMkg…
→ View original post on X — @saboo_shubham_, 2026-03-30 17:18 UTC
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Sometimes you don't have a marketing team.
— Replit ⠕ (@Replit) 30 mars 2026
Or the $$.
Replit's AI Ad Creator skill turns one prompt into an ad.
Ship the idea first. Refine it later. https://t.co/JJ6KM3jmGu
Sometimes you don't have a marketing team.
Or the $$.
Replit's AI Ad Creator skill turns one prompt into an ad.
Ship the idea first. Refine it later.
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SAS' Diana Rothfuss hosts the new short video series, Brewing Curiosity: Banking Unfiltered, to help separate AI reality from AI hype in this highly regulated industry … Less than 10 minutes and 0 fluff.
— SAS Software (@SASsoftware) 30 mars 2026
Watch the first full episode on YouTube now: https://t.co/lwSFTcwNdp ☕ pic.twitter.com/r993H3XV7d
SAS' Diana Rothfuss hosts the new short video series, Brewing Curiosity: Banking Unfiltered, to help separate AI reality from AI hype in this highly regulated industry … Less than 10 minutes and 0 fluff. Watch the first full episode on YouTube now: http://
2.sas.com/6010B6lEGi

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Sri is building Sycamore: an agent OS for the enterprise. Great team and great product concept. Can't wait for the launch 🙂
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Which models would you recommend for longer context tool calling? Are there any benchmarks for that which you find credible? I've not found a local model with tool calling good enough for me to trust with Claude Code or Codex, but I may not have been looking at the right options
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If you liked OpenClaw but weren't a fan of the security risks, try it out:
https://
pokee.ai/pokeeclaw
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OpenClaw has proven that local AI assistants have product-market fit. But the big issue with them has been security.
— François Chollet (@fchollet) 30 mars 2026
The team at @Pokee_AI is fixing it with PokeeClaw: works like OpenClaw, but with in a secure sandbox architecture with isolated environments, approval workflows,… https://t.co/7Q5cmQJbzh
OpenClaw has proven that local AI assistants have product-market fit. But the big issue with them has been security. The team at @Pokee_AI is fixing it with PokeeClaw: works like OpenClaw, but in a secure sandbox architecture with isolated environments, approval workflows,

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Jensen Huang is coming to Interrupt. May 13-14 in SF. Join Jensen and Harrison for a fireside chat to learn where enterprise agents are headed. We'll dive into the LangChain x @nvidia partnership and how Deep Agents, NVIDIA Nemotron models, and the NVIDIA Agent Toolkit enable production-grade claws for the enterprise. Get tickets: interrupt.langchain.com/
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I think there is fundamental confusion over what "using AI" means and that people are changing those definitions over time. I would strongly suspect these are measurement problems associated with people's impressions of what AI is.