絞り込み結果
72 件並び順
32:46EN
Sequoia Capital· 2025年2月25日ポッドキャストDon't draw the flowchart: OpenAI's Deep Research team on training agents end to endIsa Fulford and Josh Tobin explain why Deep Research was trained with reinforcement learning on hard browsing tasks instead of a human-written graph of model calls.
57:41EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年2月25日ポッドキャスト · 2 人A Hundred Million Cells, Four People, Three Days: Biology's ImageNet Momentホスト Sarah Guo, Elad GilVevo Therapeutics and the Arc Institute open-sourced Tahoe-100M and a 230-million-cell atlas in the same week — and argued that virtual cells, not just protein folders, are the next language model of biology.
1:40:22EN
Cognitive Revolution "How AI Changes Everything"· 2025年1月22日ポッドキャストTwenty-atom crystals taught an AI the physics of a heartbeatホスト Nathan LabenzOrbital Materials' Jonathan Godwin and Tim Duignan tell Nathan Labenz how a neural network trained on tiny crystals simulated a potassium ion channel on a single 2017 GPU.
1:27:33ENCognitive Revolution "How AI Changes Everything"· 2024年12月3日ポッドキャストA 70B Model Booked Dinner 20% of the Time. MultiOn Took It to 95% in a Dayホスト Nathan LabenzMultiOn CEO Div Garg returns to The Cognitive Revolution to recap 18 months of agent hype, the AgentQ stack, and why 2025 might still be the year of vertical agents.
1:49:41ENCognitive Revolution "How AI Changes Everything"· 2024年11月21日ポッドキャストA Team of Fifteen Matched Meta’s Post-Training on Meta’s Own Baseホスト Nathan LabenzNathan Lambert walks through Tulu 3: the three-stage recipe, the 1 percent versus 14 percent lesson, and why open post-training now lives or dies on data and evals.
56:10EN
Unsupervised Learning: With Jacob Effron· 2024年10月29日ポッドキャストDeepL Beat Google at Translation by Refusing to Be a General Modelホスト Jacob EffronOnly 18 percent of the world speaks English—and a Cologne startup turned that fact into a $2 billion language-AI company.
1:13:23ENCognitive Revolution "How AI Changes Everything"· 2024年10月12日ポッドキャストAn AI Found a GABA-Cancer Link. The Next Step Is Talking to the Cells.ホスト Nathan LabenzMichael Levin and Leo Pio Lopez on a multilayer embedding that predicted melanoma, a cancer with no mutations, and why biology's real interface is cognitive.
59:30ENSequoia Capital· 2024年10月8日ポッドキャストGPT-4 Gets Half Your Data Questions Wrong. Snowflake's Answer Is Systems DesignUsing an off-the-shelf model on enterprise data yields about 45% reliability—one wrong answer out of every two.
50:33ENSequoia Capital· 2024年8月20日ポッドキャストThe 40% data-center save started with an email that ended in a question markPhaidra founder Jim Gao tells Sequoia how an AlphaGo-inspired bet at Google became reinforcement learning that runs billion-dollar plants.
1:16:11ENCognitive Revolution "How AI Changes Everything"· 2024年7月11日ポッドキャストScooping Food Into Boxes Is 70 Percent of Plant Laborホスト Nathan LabenzChef Robotics CEO Rajat Bhageria on 20 million plated meals, a foundation model for food, and why the kitchen may leave the house.
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.
39:00ENNo Priors: AI, Machine Learning, Tech, & Startups· 2024年5月22日ポッドキャスト · 2 人JPMorgan Has 150 Petabytes. GPT-4 Trained on Less Than One.ホスト Sarah Guo, Elad GilScale AI founder Alexandr Wang tells No Priors why easy internet data is exhausted, why expert-plus-model teams still win, and why the path to AGI looks more like curing cancer than inventing a vaccine.
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.
38:48ENNo Priors: AI, Machine Learning, Tech, & Startups· 2024年1月31日ポッドキャスト · 2 人Shopify Built a Copilot, Not an Autopilot, for Every Merchantホスト Sarah Guo, Elad GilShopify VP of Core Product Glen Coates on collapsing duplicate engines, shipping AI that proposes but never commits, and teaching storefront search to understand a sweater.
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.
27:14ENNo Priors: AI, Machine Learning, Tech, & Startups· 2023年12月7日ポッドキャスト · 2 人Seven People Did the Work of 700. Salesforce's AI Chief Says Enterprise AI Is Still in the Second Inningホスト Sarah Guo, Elad GilClara Shih tells Sarah Guo and Elad Gil why Salesforce built a shared LLM platform, why data cleanup beats model shopping, and why AI is becoming the enterprise UI.
1:21:50ENCognitive Revolution "How AI Changes Everything"· 2023年11月14日ポッドキャストA 16K Context Window Holds About 350 Rows. That's Why Tables Need an Agent.ホスト Nathan LabenzGretel AI founder Alex Watson tells Nathan Labenz why most company data is still a spreadsheet, why GPT-4 is the wrong tool for generating it, and how differential privacy lets a model learn a disease without learning a patient.
1:32:40ENCognitive Revolution "How AI Changes Everything"· 2023年10月31日ポッドキャストThe Historian Who Taught GPT-3.5 to Beat GPT-4ホスト Nathan LabenzMark Humphries on a kilometer of unread paper, fur-trade jargon that embeddings cannot see, and why cheap processing will force history to be rewritten.
37:01ENNo Priors: AI, Machine Learning, Tech, & Startups· 2023年9月28日ポッドキャスト · 2 人DNA Is Code, but You Compile It with a Pipetteホスト Sarah Guo, Elad GilGinkgo Bioworks CEO Jason Kelly tells No Priors why cells are worth the magic, why biology has no AWS, and why a pandemic should look like cybersecurity.
2:15:11ENCognitive Revolution "How AI Changes Everything"· 2023年9月22日ポッドキャストTwenty Gibberish Tokens Jailbroke ChatGPT and Bardホスト Nathan LabenzCarnegie Mellon’s Zico Kolter, Andy Zou, and Asher Trockman walk through a universal jailbreak that transfers from open models to commercial APIs, and a training-free way to steal some of pretraining’s benefit.
51:22ENNo Priors: AI, Machine Learning, Tech, & Startups· 2023年6月29日ポッドキャスト · 2 人Three IPOs Later, Frank Slootman Still Thinks the Job Is Urgencyホスト Sarah Guo, Elad GilSnowflake's CEO tells No Priors how he picked the right elevator, turned a 15-person backup startup into an EMC acquisition, and why a data lake is a landfill you should not train on.
3:15:07EN
Lex Fridman· 2023年6月18日ポッドキャスト · 2 人Wikipedia Worked Once Writing Stopped Feeling Like Grad Schoolゲスト Jimmy Wales · ホスト Lex FridmanJimmy Wales tells Lex Fridman how Nupedia's seven-stage review died, why Wikipedia still refuses ads and governments, and what large language models should actually do with an encyclopedia.
59:28ENCognitive Revolution "How AI Changes Everything"· 2023年6月16日ポッドキャストFrom $500,000 to $50,000: MosaicML Made Training Your Own Model a Priced Productホスト Nathan LabenzJonathan Frankle and Abhi Venigalla explain who is training custom LLMs, why extraction beats chat, and how ALiBi stretches a 65k context window.
2:00:19ENCognitive Revolution "How AI Changes Everything"· 2023年6月6日ポッドキャスト1.5 Million GPT-4 Fairy Tales Let a 33-Million-Parameter Model Out-Reason GPT-2ホスト Nathan LabenzTry this fill-in: Lily likes cats and dogs. She asked her mom for a dog. Mom said no, so she asked for a…もっと見る72 件中 24 件を表示