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1:56:38EN
Cognitive Revolution "How AI Changes Everything"· 2025년 3월 8일팟캐스트o3 took ARC from 20% to 87%. Nathan Labenz sketches early superintelligence진행자 Nathan LabenzOn Consistently Candid, the Cognitive Revolution host argues that math and coding will be superhuman by 2026, and that a reasoning core plus specialist “intuitive physics” may already be enough.모델과 학습Reinforcement LearningDistributed training & inference+3
2:16:17EN
Cognitive Revolution "How AI Changes Everything"· 2025년 2월 5일팟캐스트A 10B Model Trained Across Three Continents — and an H200 for $1.49 an Hour진행자 Nathan LabenzPrime Intellect's founders lay out a four-step plan to turn spare global GPUs into collectively owned intelligence, and argue that reinforcement learning just made their job easier.인프라와 배포Distributed training & inferenceAI cost & performance+3
슬라이드 4장1:03:21EN
JSJane Street· 2024년 12월 9일Horace He on Building ML Systems for Trillion-Trillion OperationsHorace He · MetaHow GPU bottlenecks, compiler design and distributed parallelism shape the systems behind large-scale model training.GPU programming & kernelsDistributed training & inferenceMachine Learning+2
1:01:26EN
Cognitive Revolution "How AI Changes Everything"· 2023년 7월 25일팟캐스트AlexNet Used Two GPUs. GPT-4 Took Twenty Thousand. The Shortage Will Be Back.진행자 Nathan LabenzRun:ai CTO Ronen Dar on filling idle accelerators, why H100s can be cheaper per experiment, and why Llama 2 undercuts compute governance.인프라와 배포AI cost & performanceDistributed training & inference+3