絞り込み結果
69 件並び順
13:34EN
Matthew Berman· 2024年9月23日Sam Altman’s “Intelligence Age”: Superintelligence, Scaling and WorkMatthew Berman · Forward FutureMatthew Berman reads Altman’s 2024 essay and discusses its predictions for AI assistants, education, infrastructure and jobs.
1:18:32EN
Cognitive Revolution "How AI Changes Everything"· 2024年9月20日ポッドキャストA DNA Model That Can Tell Which Genes You Cannot Touchホスト Nathan LabenzStanford's Brian Hie walks through hybrid architectures, a genome-scale language model trained only on DNA, and an antibody that binds 25 times tighter than nature.
49:14EN
Sequoia Capital· 2024年9月17日ポッドキャストHumanoid robots fell from $1.5 million to $30,000. The GPT-3 moment is still a verbNvidia’s Jim Fan tells Sequoia how three kinds of data, a humanoid bet, and a System-1 motor-control model could unlock general-purpose robots.
44:16EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年9月5日ポッドキャスト · 2 人A perfect demo is ten years from a product you can pay forホスト Sarah Guo, Elad GilAndrej Karpathy uses Waymo's decade-long gap, Tesla's software bet, and a new AI course to argue that autonomous intelligence will stall at product and globalization, not at the first impressive clip.
1:27:02ZH
Zhang Xiaojun Podcast· 2024年9月5日ポッドキャスト · 3 人广密：Self-play RL 可能开启 AGI 的新 Scaling Lawゲスト 广密 · ホスト 张小珺广密认为，纯靠语言预训练扩展模型的边际收益可能正在减弱，self-play 强化学习是更值得押注的新路径。它能否泛化到代码、视频、机器人和更广的领域，将决定下一阶段的 AGI 竞赛。
1:23:57ENCognitive Revolution "How AI Changes Everything"· 2024年9月4日ポッドキャストA Training Run Is a Particle Collider—and the China Contest Is a Fifty-Year Raceホスト Nathan LabenzSamo Burja tells Nathan Labenz why ChatGPT's virality may have slowed AI science, and why Washington should treat Beijing as an economic rival rather than a military one.
50:20EN
20VC with Harry Stebbings· 2024年8月28日ポッドキャスト · 2 人Arvind Narayanan on AI Scaling, Real-World Risks and the Limits of Model Benchmarksゲスト Arvind Narayanan · ホスト Harry StebbingsThe Princeton professor challenges simple claims about scaling, AGI timelines and AI adoption while discussing deepfakes, healthcare, education and security.
42:42ENNo Priors: AI, Machine Learning, Tech, & Startups· 2024年8月22日ポッドキャスト · 2 人Ethereum Once Held Two Thousand GPT-3 Clusters of GPUsホスト Sarah Guo, Elad GilFoundry CEO Jared Quincy Davis on idle H100s, why today's AI cloud is still colocation, and how compound systems move work off giant interconnected clusters.
1:33:07ZHZhang Xiaojun Podcast· 2024年8月17日ポッドキャスト · 2 人广密复盘全球大模型这一年：Scaling Law、AGI 豪赌与中美格局ゲスト 李广密 · ホスト 张小珺拾象创始人李广密从硅谷一线观察出发，回顾 OpenAI、Anthropic、Google 与中国模型公司的竞争。他认为，模型能力与成本共同决定新一轮应用爆发，而巨额投入押注的是智能能否持续扩展以及 AI 对经济和产业的长期重构。
46:09ENNo Priors: AI, Machine Learning, Tech, & Startups· 2024年8月1日ポッドキャスト · 2 人Oriol Vinyals: The Days of Burning 90% of Compute on Pretraining Are Numberedホスト Sarah Guo, Elad GilGoogle DeepMind’s VP of research on Gemini, long context, the coming shift from pretraining to RL, and why AGI may never have a finish line.
42:08ENSequoia Capital· 2024年7月30日ポッドキャストMeta Trained a 405B Teacher on 16,000 GPUs — Then Told the World to Distill ItTwo days after Llama 3.1 405B shipped, Meta's generative-AI product lead walks Sequoia through why the most expensive model in the family is free, and why he thinks the frontier itself is heading toward commodity.
1:00:28ENSequoia Capital· 2024年7月9日ポッドキャストScaling Laws Aren't Done. Don't Lock Yourself Into Yesterday's Architecture.Microsoft CTO Kevin Scott on why the exponential is still compounding, why inference will dwarf training, and why a language model is the world's crappiest database.
55:13ENSequoia Capital· 2024年7月2日ポッドキャストThe Best AI Scores 39% on This Test. Zapier’s Co-Founder Put $1 Million on Beating ItFrançois Chollet designed ARC to measure skill-acquisition efficiency; five years later humans still crush it and frontier models do not.
1:01:30ENMatthew Berman· 2024年6月13日Leopold Aschenbrenner’s 2024 Forecast for AGI, Superintelligence and SecurityMatthew Berman · Forward FutureMatthew Berman examines Situational Awareness, its extrapolation to automated AI research, and the industrial, geopolitical and alignment challenges it envisions.
1:01:55ENCognitive Revolution "How AI Changes Everything"· 2024年6月1日ポッドキャストA $9 AI nurse, an 86 on the medical boards, and a 10% extinction lineホスト Nathan LabenzNathan Labenz’s solo scouting report walks from medical state of the art through how models actually learn, then to live players, scaling trends, and a control plan that still does not exist.
29:09ENNo Priors: AI, Machine Learning, Tech, & Startups· 2024年5月9日ポッドキャスト · 2 人The Hyperscalers Are Spending $200 Billion — and the Next Bottleneck Is a Power Plantホスト Sarah Guo, Elad GilSarah Guo and Elad Gil walk through music models, on-device LLMs, long context, and why AI capex now sits beside oil and broadband.
31:24ENNo Priors: AI, Machine Learning, Tech, & Startups· 2024年4月25日ポッドキャスト · 2 人Sora's Leads: A Minute of HD Video Is Just the GPT-1 of Video Modelsホスト Sarah Guo, Elad GilAditya Ramesh, Tim Brooks, and Bill Peebles tell No Priors why text-to-video sits on the path to AGI, why they started from scratch instead of extending an image generator, and why they still have no product date.
1:01:39ENCognitive Revolution "How AI Changes Everything"· 2024年4月13日ポッドキャストGPT-5 Wants 100 Trillion Tokens. Does Earth Have Enough?ホスト Nathan LabenzTraining GPT-3 took about a trillion tokens; GPT-4 took about ten trillion. The next jump is a data question as much as a compute one.
14:12ENMatthew Berman· 2024年3月26日Matthew Berman Reviews Sora’s Early Filmmaker ExperimentsMatthew Berman · Forward FutureA look at early Sora-generated films, surreal creatures and the questions they raise about creative work, compute and video simulation.
40:58ENNo Priors: AI, Machine Learning, Tech, & Startups· 2024年1月25日ポッドキャスト · 2 人99% of Factory Robots Are Dumb. Covariant Wants the Smart Ones Working in Warehouses Firstホスト Sarah Guo, Elad GilFormer OpenAI researcher Peter Chen explains why robot foundation models have to be trained on production floors, not in labs.
32:57ENNo Priors: AI, Machine Learning, Tech, & Startups· 2023年11月9日ポッドキャスト · 2 人A 7-billion-parameter model on a MacBook: Mistral's CEO reruns the cost of AIホスト Sarah Guo, Elad GilArthur Mensch tells No Priors why Chinchilla made small models valuable, why open-sourcing Mistral 7B is not a bioweapon risk, and why guardrails belong on the application.
41:58ENNo Priors: AI, Machine Learning, Tech, & Startups· 2023年11月2日ポッドキャスト · 2 人Reliability is the bottleneck. Autonomy is what would make AI feel alive.ホスト Sarah Guo, Elad GilIlya Sutskever talks with Sarah Guo and Elad Gil about AlexNet, OpenAI’s capped-profit bet, why smaller models mainly lose reliability, and the line he draws for digital life.
1:19:52ENCognitive Revolution "How AI Changes Everything"· 2023年10月18日ポッドキャスト1,000 H100s Take 115 Days; 22,000 Take Fiveホスト Nathan LabenzNathan Labenz and Trey Kollmer walk through cluster math that turns GPT-4-scale training into a weekly experiment, then four papers on search-augmented models, recursive code improvers, spatial maps inside Llama 2, and what networks do when they have no idea.
30:03ENNo Priors: AI, Machine Learning, Tech, & Startups· 2023年9月7日ポッドキャスト · 2 人A Dinner-Plate Chip Cut Training From 60 Days to 3.5ホスト Sarah Guo, Elad GilCerebras CEO Andrew Feldman tells No Priors why wafer-scale silicon, not another GPU, is the answer to the compute crunch — and why most production models will stay at 13 billion parameters or below.もっと見る69 件中 24 件を表示