Here's the links for my conversation with Jensen Huang, CEO of NVIDIA: YouTube: piped.video/watch?v=vif8NQcj… Spotify: open.spotify.com/show/2MAi0B… Podcast: lexfridman.com/podcast
→ View original post on X — @lexfridman, 2026-03-23 16:50 UTC
AI
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Jensen Huang Interview: NVIDIA, AI, Leadership and Consciousness
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Here's my conversation with Jensen Huang, CEO of NVIDIA, the most valuable & one of the most influential companies in the history of human civilization. It is the engine powering the AI revolution.
— Lex Fridman (@lexfridman) 23 mars 2026
This was a fascinating & inspiring conversation, in parts super-technical on… pic.twitter.com/RJ6aOgHY4OHere's my conversation with Jensen Huang, CEO of NVIDIA, the most valuable & one of the most influential companies in the history of human civilization. It is the engine powering the AI revolution. This was a fascinating & inspiring conversation, in parts super-technical on engineering of every part of the AI stack, memory, power, supply chain (TSMC, ASML, etc), in parts about leadership & psychology, and in parts personal & philosophical about life, consciousness, mortality, and human nature. It's here on X in full and is up everywhere else (see comment). Timestamps: 0:00 – Introduction 0:33 – Extreme co-design and rack-scale engineering 3:18 – How Jensen runs NVIDIA 22:40 – AI scaling laws 37:40 – Biggest blockers to AI scaling laws 39:23 – Supply chain 41:18 – Memory 47:24 – Power 52:43 – Elon and Colossus 56:11 – Jensen's approach to engineering and leadership 1:01:37 – China 1:09:50 – TSMC and Taiwan 1:15:04 – NVIDIA's moat 1:20:41 – AI data centers in space 1:24:30 – Will NVIDIA be worth $10 trillion? 1:34:39 – Leadership under pressure 1:48:25 – games 1:55:16 – AGI timeline 1:57:29 – Future of programming 2:11:01 – Consciousness 2:17:22 – Mortality
→ View original post on X — @lexfridman, 2026-03-23 16:49 UTC
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Cursor Builds Instant Grep to Search Millions of Files in Milliseconds
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Cursor can now search millions of files and find results in milliseconds. This dramatically speeds up how fast agents complete tasks. We're sharing how we built Instant Grep, including the algorithms and tradeoffs behind the design.
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AI job safety claim for plumbers and electricians
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“Only plumbers and electricians are safe from AI taking their jobs”
— AI Breakfast (@AiBreakfast) 23 mars 2026
Meanwhile:pic.twitter.com/LT82bnmnJu“Only plumbers and electricians are safe from AI taking their jobs” Meanwhile:
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Executive ELT Training Sessions Claude Code Codex
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we do 1-day ELT training sessions for top startups and Fortune 500s if you're an executive and want to get your hands in Claude Code, Codex, and more:
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Uni-1 understands the real and eliminates the need for perfect prompts
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Uni-1 → understands how something real should look This changes something key: You don't need to perfect prompts.
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Testing Uni-1 AI image-to-photo conversion capabilities
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He estado probando Uni-1 y esto es bastante loco: Le pasas una imagen claramente “IA”… y la convierte en algo que parece una foto real.
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AI Automation Economics: Job Displacement vs Hiring Dynamics
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After a brief hiatus, new post with @soumitrashukla9: "How Will AI-driven Automation Actually Affect Jobs? The economics of AI exposure and job displacement" There has been a lot of discussion in the media, X, substack, etc about AI driven displacement. We felt like it'd be worth working out the actual economics of when AI automation will actually lead to displacement, versus the exact opposite (more hiring, higher wages). A short summary🧵: AI "exposure" measures are not meant to predict displacement or job automation. Exposure can lead a job loss, or it can lead to more hiring and higher wages. It all depends on how 1) automated tasks interact with non-automated tasks (to what extent they're complements), 2) how consumer demand in that sector responds to prices (elasticity of consumer demand), and 3) the dimensionality of the job (the number of tasks a job has). One conclusion: we should be less worried about consultants and more worried about truckers and warehouse workers than we currently are. Link: substack.com/home/post/p-191…
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Pretraining LLMs entirely on Hugging Face Hub infrastructure
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You can now pretrain LLMs entirely on the HF Hub 💥 Last week, @OpenAI launched a competition to see who can pretrain the best LLM in under 10 minutes. So over the weekend, I made a little demo to automate this end-to-end using the Hub as the infra layer: – Jobs to scale compute – Buckets to store all experiments – Trackio to log all the metrics The cool thing here is that everything is launched locally: no ssh shenanigans into a cluster or fighting with colleagues over storage and GPUs ⚔️ All that's left is coming up with new ideas, but luckily Codex can automate that part too 😁 Can I have a job now please @reach_vb 🙏?
→ View original post on X — @thom_wolf, 2026-03-23 16:29 UTC
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Trent AI at Cyber Startup Expo 2026 in San Francisco
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Today only 🤝 Join Trent AI at Cyber Startup Expo 2026 — Meet with Eno Thereska, Co-founder and CEO & Christoph Bartenstein, Chief Product Officer. 👉 go.trent.ai/cyber-startup-ex… Monday, March 23, 2026 8am – 4pm Convene 100 Stockton 5th Floor, Pacific Hall 40 O'Farrell Street, San Francisco, CA 94108 Come by and learn how Trent secures your agentic systems with specialized AI agents that continuously scan, judge, mitigate, and evaluate. So, your team ships fast and stays secure! #CyberSecurity #AI #Startups #RSAC #TrentAIHQ