Stanford @CS153Systems, Week 1 (Full Lecture) AI Scaling, Bottlenecks, and Why Compute Isn't a Commodity Yet 00:00 Compute Coachella 00:29 Simple Life Heuristic 01:08 Uncertainty Creates Opportunity 01:42 Four Bottlenecks Framework 01:51 Empirical Proof Matters 02:05 Cloud Costs Are Shifting 02:15 Verifiable vs Fuzzy Progress 02:48 Scaling Predictability Explained 03:43 CapEx Explosion in Big Tech 04:06 Chips Aren’t Commodities 04:45 Compute Scarcity Conclusion
@swyx
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Video Review Process with Annotations for Feature Implementation Testing
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you literally watch the recorded videos of the feature working after its implemented
— swyx (@swyx) 4 avril 2026
with annotation of whats being tested https://t.co/9puvHxvm8Q pic.twitter.com/HrltvzE03Cyou literally watch the recorded videos of the feature working after its implemented with annotation of whats being tested Rowan (@therook_) wait how do you review this, copy pasted code bypasses the whole junior dev eval idea? — https://nitter.net/therook_/status/2040218236885905850#m
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Gemma 4 31B: Jeff Dean’s Manual Weight Distribution Method
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gemma 4 31b was distilled from jeff dean writing down weights one by one
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Infinite Money Enables Infinite Levels of Simulation
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when u have infnity money, infinity levels of simulation are possible!
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Devin AI Achieves Agentic Self-Improvement with One-Shot Implementation
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We have achieved agentic self improvement – i can just copy paste blogposts and tweets into @devinai and it oneshots the complete implementation wasnt actually sure this was gonna work, jaw dropped when it did. this is very out of distribution of the underlying @GoogleDeepMind Gemini Flash Lite model but it Just Worked. Malte Ubl (@cramforce) Mintlify assistant is powered by just-bash with a custom filesystem — https://nitter.net/cramforce/status/2039841201474695333#m
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World Models Discussion on Latent Space Podcast with Insights
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It was great to talk with @swyx and @sunfanyun on @latentspacepod about world models. 🔥 Below I give a few more long-form thoughts on what is needed for successful world models. 🧵👇 latent.space/p/moonlake Fan-Yun Sun (@sunfanyun) @chrmanning and I went on @latentspacepod to talk about world models. piped.video/oBWRHnggscM?si=NndE… — https://nitter.net/sunfanyun/status/2039968839551889601#m
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Marc Andreessen’s 2026 AI Thesis on Agents and Open Source
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omg a hit tweet – stream @latentspacepod for the inspiration for this!!https://t.co/xnAxwn314V
— swyx (@swyx) 3 avril 2026omg a hit tweet – stream @latentspacepod for the inspiration for this!! nitter.net/latentspacepod/status/… Latent.Space (@latentspacepod) 🆕 Marc Andreessen’s 2026 AI Thesis: Agents, Open Source, and Why This Time Is Different latent.space/p/pmarca @pmarca of @a16z says AI people keep swinging between utopian and apocalyptic for one simple reason: this field has been “almost here” for 80 years. But now, the breakthroughs are no longer theoretical. Reasoning, coding, agents, and self-improvement are all starting to work at once. This episode goes deep on AI winters, OpenAI + OpenClaw, infrastructure overbuild risk, proof-of-human, why software may soon be written mostly for bots, and why the real bottleneck may be society adopting AI rather than the models improving. — https://nitter.net/latentspacepod/status/2040113281365581901#m
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Sara Hooker Joins AI Engineer Singapore Conference as Speaker
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excited that @sarahookr (ceo of @adaption_ai) is joining us at @aiDotEngineer singapore! sara's done amazing work for the ai community, from her roles as vp of research at @cohere and research work at google brain. this one is personal, as i've known sara for over a decade. back when i was still in the bay area, i was volunteering as a pro bono data analyst for a nonprofit she started – to help under-resourced organizations use data for good. i worked directly on a few projects with her team, and what struck me even then was how incredibly sharp sara was, but also how at the heart of everything she does is real impact for the world. since then, sara's done amazing work: – from leading cohere's research lab and shipping multilingual models to 55+ languages – to authoring "the hardware lottery" (one of the most cited papers on why ideas in ai win or lose based on hardware, not merit) – to now building adaption labs around a thesis the industry desperately needs to hear – the future of ai isn't about building bigger models, but about building systems that can learn and adapt continuously so excited to have sara there for ai.engineer/singapore from may 15-17! @swyx @agrimsingh @aimuggle @unprofeshme @ivanleomk
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Marc Andreessen’s 2026 AI Thesis: Agents and Open Source
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🆕 Marc Andreessen’s 2026 AI Thesis: Agents, Open Source, and Why This Time Is Differenthttps://t.co/wmu0s7vyLn@pmarca of @a16z says AI people keep swinging between utopian and apocalyptic for one simple reason: this field has been “almost here” for 80 years. But now, the… pic.twitter.com/kYnLP5jZh1
— Latent.Space (@latentspacepod) 3 avril 2026🆕 Marc Andreessen’s 2026 AI Thesis: Agents, Open Source, and Why This Time Is Different latent.space/p/pmarca @pmarca of @a16z says AI people keep swinging between utopian and apocalyptic for one simple reason: this field has been “almost here” for 80 years. But now, the breakthroughs are no longer theoretical. Reasoning, coding, agents, and self-improvement are all starting to work at once. This episode goes deep on AI winters, OpenAI + OpenClaw, infrastructure overbuild risk, proof-of-human, why software may soon be written mostly for bots, and why the real bottleneck may be society adopting AI rather than the models improving.
