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  • Jensen Huang on AI Expanding Human Potential and Computing’s Future

    By

    @nvidia

    –

    "Every carpenter, every accountant, every student, will use AI to build.” Jensen Huang on how AI expands human potential, reshapes work, and defines the next era of computing. New episode with @lexfridman out now. Lex Fridman (@lexfridman) 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. 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 — https://nitter.net/lexfridman/status/2036123301140111406#m

    → View original post on X — @nvidia, 2026-03-23 17:11 UTC

  • Plan and Budget Framework Optimizes LLM Token Efficiency
    Plan and Budget Framework Optimizes LLM Token Efficiency

    By

    @jiqizhixin

    –

    Is your LLM wasting valuable tokens "overthinking" or "underthinking" complex tasks? MIT CSAIL, Virginia Tech, University of Virginia, and Michigan State University present Plan and Budget. This new framework helps LLMs decompose complex problems into manageable sub-questions

    → View original post on X — @jiqizhixin

  • Driving AI ROI with Governance and Traceability for CIOs
    Driving AI ROI with Governance and Traceability for CIOs

    By

    @alteryx

    –

    Heading to @Gartner_inc CIO Leadership Forum? Don’t miss our session on March 31 at 11 a.m. EDT! AI is moving fast — but proving board-level impact is hard. Learn how to drive accountable ROI with governance + traceability. https://
    ow.ly/ZI0G50YxIBx

    → View original post on X — @alteryx

  • PlayerZero: An AI Production Engineer Tool

    By

    @kimmonismus

    –

    PlayerZero is literally an AI production engineer. Check them out here:

    → View original post on X — @kimmonismus

  • Context Graph Revolution in Agentic Coding Systems
    Context Graph Revolution in Agentic Coding Systems

    By

    @kimmonismus

    –

    Agentic coding just got a major upgrade nobody is talking about. There's now a context graph that sits on top of your entire production system. Your codebase, your incidents, your customer tickets, all connected into one living model. When a PR opens, it already knows what's

    → View original post on X — @kimmonismus

  • Lex Fridman Conversation with Jensen Huang NVIDIA CEO
    Lex Fridman Conversation with Jensen Huang NVIDIA CEO

    By

    @lexfridman

    –

    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

  • Jensen Huang Interview: NVIDIA, AI, Leadership and Consciousness

    By

    @lexfridman

    –

    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. 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

  • Cursor Builds Instant Grep to Search Millions of Files in Milliseconds
    Cursor Builds Instant Grep to Search Millions of Files in Milliseconds

    By

    @cursor_ai

    –

    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.

    → View original post on X — @cursor_ai

  • Executive ELT Training Sessions Claude Code Codex

    By

    @danshipper

    –

    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:

    → View original post on X — @danshipper

  • Pretraining LLMs entirely on Hugging Face Hub infrastructure

    By

    @thom_wolf

    –

    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