Carl Sagan's 9 timeless lessons for detecting baloney
My Thoughts
Carl Sagan's baloney detection kit taught us how to separate good science from the work of charlatans. In 2026, that matters more than ever.
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share Peter Boghossian (@peterboghossian) on X
Academia *knew* entire fields could not be replicated. They watched junk science proliferate and said nothing. This was not oversight. It was cowardly complicity.
share Andrej Karpathy (@karpathy) on X
- Drafted a blog post - Used an LLM to meticulously improve the argument over 4 hours. - Wow, feeling great, it’s so convincing! - Fun idea let’s ask it to argue the opposite. - LLM demolishes the entire argument and convinces me that the opposite is in fact true. - lol The
share 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 — 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