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Cognitive Revolution "How AI Changes Everything"· 25 jul 2023PódcastAlexNet Used Two GPUs. GPT-4 Took Twenty Thousand. The Shortage Will Be Back.Presenta: Nathan LabenzRun:ai CTO Ronen Dar on filling idle accelerators, why H100s can be cheaper per experiment, and why Llama 2 undercuts compute governance.
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Matthew Berman· 18 jul 2023Petals: Distributing Large Language Model Inference Across DevicesMatthew Berman · Forward FutureIn 2023, Matthew Berman explains Petals as a way to use large models through a network of participating computers rather than loading every layer on one device.
9:33ENMatthew Berman· 30 jun 2023Testing SDXL 0.9: Image Quality, Clipdrop and a Midjourney ComparisonMatthew Berman · Forward FutureIn June 2023, Matthew Berman tries Stability AI’s image model, compares selected prompts with Midjourney and demonstrates Clipdrop’s lighting tool.
7:21ENMatthew Berman· 26 jun 2023Testing Orca Mini 13B, an Unofficial Model Inspired by OrcaMatthew Berman · Forward FutureMatthew Berman loads a quantized Orca Mini 13B and tries coding, reasoning, arithmetic, and summarization prompts. His 2023 informal test produces several failures and a few successes.
8:17ENMatthew Berman· 22 jun 2023Using OpenLLM to Serve Open Models Through an APIMatthew Berman · Forward FutureMatthew Berman demonstrates a local model server, its interactive API and a Python client in a 2023 walkthrough.
1:20:49ENCognitive Revolution "How AI Changes Everything"· 25 may 2023PódcastA Wafer-Scale Chip So AI Stops Waiting on AmdahlPresenta: Nathan LabenzAndrew Feldman, CEO of Cerebras, tells Nathan Labenz why one 2.5-trillion-transistor die, sparse linear algebra, and a 16-machine supercomputer are a better shape than a GPU cluster.
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No Priors: AI, Machine Learning, Tech, & Startups· 2 feb 2023Pódcast · 2 vocesForty games of Diplomacy, and nobody spotted the bot: Noam Brown’s 100,000x lessonPresenta: Sarah Guo, Elad GilMeta’s Noam Brown tells Sarah Guo and Elad Gil how Cicero negotiated in English for 40 games on a tiny web community — and why thinking at decision time beat three years of scaling.
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Lex Fridman· 9 feb 2020PódcastMoore’s Law Is Not Dead—It Is a Cascade of S-CurvesPresenta: Lex FridmanJim Keller explains why transistor scaling keeps outrunning its obituary, and how exponential hardware changes the mathematics AI can attempt.
23:57ENNo Priors: AI, Machine Learning, Tech, & StartupsPódcast · 2 vocesChips, Agents and a Reckoning: Sarah Guo and Elad Gil on the 2023 AI BoomPresenta: Sarah Guo, Elad GilThe hosts answer listener questions on the GPU crunch, how soon enterprises will ship AI products, how to build agents, and what 2024 holds for tech valuations.
1:18:48ENLex FridmanPódcastData Movement, Not Math: How to Make Deep Learning Fit on Robots and PhonesPresenta: Lex FridmanMIT professor Vivienne Sze explains why moving data dominates the energy cost of neural networks and how co-designing hardware and algorithms can cut it by orders of magnitude.
57:21ENCognitive Revolution "How AI Changes Everything"PódcastGemini 2.0 Flash Goes to Production: Pricing, Model Lineup and What Developers Should Build NextPresenta: Nathan LabenzGoogle DeepMind's Logan Kilpatrick walks through launch-day Gemini 2.0 releases, rate limits, model naming, and where he sees startup opportunities.
31:46ENNo Priors: AI, Machine Learning, Tech, & StartupsPódcast · 2 vocesWhy Rivian Threw Out Its First Self-Driving Stack and Built Its Own BrainPresenta: Sarah Guo, Elad GilRivian founder RJ Scaringe explains the neural-net reset, in-house chips, software-defined architecture and the mass-market R2 bet.