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X (formerly Twitter) March 17, 2026

Muhammad Ayan (@socialwithaayan) on X

My Thoughts

I'm going to try this out over the next week. I think it's going to solve a real problem with the AI providers constantly releasing new models and changing the accepted parameters. Hopefully a lot more APIs get added over time.

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Chayenne Zhao (@GenAI_is_real) on X
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Chayenne Zhao (@GenAI_is_real) on X

I've been using Claude Code heavily lately, and while doing so, I've been casually watching the OpenClaw codebase evolve. What I've witnessed mirrors a pattern I've seen play out with every agent framework before it โ€” and it's worth talking about. OpenClaw is a remarkable

Andrej Karpathy (@karpathy) on X
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Andrej Karpathy (@karpathy) on X

A few random notes from claude coding quite a bit last few weeks. Coding workflow. Given the latest lift in LLM coding capability, like many others I rapidly went from about 80% manual+autocomplete coding and 20% agents in November to 80% agent coding and 20% edits+touchups in

The End of Coding: Andrej Karpathy on Agents, AutoResearch, and the Loopy Era of AI
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The End of Coding: Andrej Karpathy on Agents, AutoResearch, and the Loopy Era of AI

What happens when AI agents can design experiments, collect data, and improve โ€” without a human in the loop? Andrej Karpathy joins Sarah Guo on the state of models, the future of engineering and education, thinking about impact on jobs, and his project AutoResearch: where agents close the loop on a piece of AI research (experimentation, training, and optimization, autonomously). 00:00 Andrej Karpathy Introduction 02:55 What Capability Limits Remain? 06:15 What Mastery of Coding Agents Looks Like 11:16 Second Order Effects of Natural Language Coding 15:51 Why AutoResearch 22:45 Relevant Skills in the AI Era 28:25 Model Speciation 32:30 Building More Collaboration Surfaces for Humans and AI 37:28 Analysis of Jobs Market Data 48:25 Open vs. Closed Source Models 53:51 Autonomous Robotics 1:00:59 MicroGPT and Agentic Education 1:05:40 Conclusion