Mark Zuckerberg – Meta’s AGI Plan
Zuck on: * Llama 4, benchmark gaming, open vs source * Intelligence explosion, business models for AGI * DeepSeek/China, export controls, & Trump * Orion glasses, AI relationships, and not getting reward-hacking by our tech Read the transcript: https://www.dwarkesh.com/p/mark-zuckerberg-2 Apple Podcasts: https://podcasts.apple.com/us/podcast/dwarkesh-podcast/id1516093381?i=1000705423020 Spotify: https://open.spotify.com/episode/7Brv4vg9P8a8CNvAN5UsMv?si=d548a8aef39e4b65 —————————————- SPONSORS * Scale is building the infrastructure for safer, smarter AI. Scale’s Data Foundry gives major AI labs access to high-quality data to fuel post-training, while their public leaderboards help assess model capabilities. They also just released Scale Evaluation, a new tool that diagnoses model limitations. If you’re an AI researcher or engineer, learn how Scale can help you push the frontier at https://scale.com/dwarkesh. * WorkOS Radar protects your product against bots, fraud, and abuse. Radar uses 80+ signals to identify and block common threats and harmful behavior. Join companies like Cursor, Perplexity, and OpenAI that have eliminated costly free-tier abuse by visiting https://workos.com/radar. * Lambda is THE cloud for AI developers, with over 50,000 NVIDIA GPUs ready to go for startups, enterprises, and hyperscalers. By focusing exclusively on AI, Lambda provides cost-effective compute supported by true experts, including a serverless API serving top open-source models like Llama 4 or DeepSeek V3-0324 without rate limits, and available for a free trial at https://lambda.ai/dwarkesh. To sponsor a future episode, visit https://dwarkesh.com/advertise. —————————————- TIMESTAMPS (00:00:00) – How Llama 4 compares to other models (00:12:20) – Intelligence explosion (00:27:22) – AI friends, therapists & girlfriends (00:35:56) – DeepSeek & China (00:40:35) – Open source AI (00:55:01) – Monetizing AGI (00:59:18) – The role of a CEO (01:02:50) – Is big tech aligning with Trump? (01:07:56) – 100x productivity Credit to : Dwarkesh Patel
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