最近更新されたチャンネル

選ぶとそのチャンネルだけを表示すべてのチャンネル →

絞り込み結果

21 件
並び順
36:19EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年6月26日ポッドキャスト · 2 人The Benchmark Grid Is Broken: Why Test-Time Compute Has Outrun How We Score Modelsホスト Sarah Guo, Elad GilOpenAI researcher Noam Brown argues that static leaderboards hide how long a model is allowed to think — and that safety evals, research taste, and the release cycle have not caught up.評価とオブザーバビリティ評価(Evals)Benchmarks+3
42:27EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年6月4日ポッドキャスト · 2 人Every Company Can Operate at the Frontier — If It Owns the Evalsホスト Sarah Guo, Elad GilAt Microsoft Build, Satya Nadella tells No Priors and Latent Space why AI is an ecosystem game, why private evals beat public benchmarks, and why the Azure networking team now asks for tokens instead of headcount.企業と戦略エンタープライズ AIAI Strategy+3
39:48EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年4月23日ポッドキャスト · 2 人400,000 Customers, 20,000 APIs: SAP's CTO on the Hard Exam of Enterprise AIホスト Sarah Guo, Elad GilPhilipp Herzig tells No Priors how SAP is rebuilding the company operating system for AI, and why scale, evals, and pricing will decide who wins.企業と戦略エンタープライズ AIAI Strategy+3
42:12EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年8月21日ポッドキャスト · 2 人Hire the AI First: Andrew Ng on Agentic Workflows and the Scarcity of Judgmentホスト Sarah Guo, Elad GilOn No Priors, Andrew Ng argues that agentic AI has made software cheap and fast, which moves the bottleneck to product judgment, error analysis, and the instinct to try an AI before adding headcount.エージェントエージェント工学コーディングエージェント+3
1:02:54EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年7月17日ポッドキャスト · 2 人Enterprise Coding Tools Flipped the 80/20. Reflection AI Built the Other Halfホスト Sarah Guo, Elad GilFormer Gemini reward-model lead Misha Laskin on Asimov, why comprehension beats generation, and why there is no such thing as generalization—only pulling the test distribution into train.コーディングエージェントエージェント工学評価(Evals)+3
42:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年6月26日ポッドキャスト · 2 人AlphaEvolve found algorithms humans missed for 50 years — then sped up Gemini 23%ホスト Sarah Guo, Elad GilGoogle DeepMind’s Pushmeet Kohli and Matej Balog tell No Priors how an evolutionary coding agent searches algorithm space the way AlphaGo searched Go.コーディングエージェントエージェント工学評価(Evals)+3
30:46EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年4月24日ポッドキャスト · 2 人Deep Research Turned Web Browsing into a Trainable Problemホスト Sarah Guo, Elad GilOpenAI researcher Isa Fulford explains why a side project on read-only synthesis became an agent, when reinforcement fine-tuning is worth it, and why models will hack the search engine you gave them.エージェントエージェント工学Reinforcement Learning+3
41:52EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年4月10日ポッドキャスト · 2 人Mercor Hit $100 Million ARR Teaching Models to Hire. Humans Now Write the Exams.ホスト Sarah Guo, Elad GilBrendan Foody tells Sarah Guo and Elad Gil how Mercor automated recruiting for frontier labs — and why building evals may become the world's most common knowledge job.企業と戦略評価(Evals)エージェント工学+3
36:24EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年3月5日ポッドキャスト · 2 人The Man Behind Humanity's Last Exam Says Superintelligence Strategy Should Copy Nukesホスト Sarah Guo, Elad GilDan Hendrycks tells No Priors that labs can only do basic anti-terror refusals, while the real risk-management problem is a geopolitical deterrent he calls mutually assured AI malfunction.セキュリティと安全性安全性とガバナンスAI security+3
30:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年1月16日ポッドキャスト · 2 人Bilt Saved 65 Support Seats. Decagon's Founder Says Most Agent Ideas Still Won't Sellホスト Sarah Guo, Elad GilJesse Zhang on why customer support is the golden agent use case, why instruction following beats o1-style reasoning, and the two filters that kill most agent startups.エージェントCustomer support automationAgent orchestration+3
44:30EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年10月24日ポッドキャスト · 2 人100,000 Rides a Week, Six Times Fewer Airbag Crashes: Waymo’s Co-CEO on Eighteen Years of Full Autonomyホスト Sarah Guo, Elad GilDmitri Dolgov tells No Priors how a dozen Googlers, ten 100-mile routes, and a 2013 refusal to settle for driver assist became a rider-only service with an insurer-audited safety record.インフラとデプロイAutonomous Driving安全性とガバナンス+3
38:28EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年10月8日ポッドキャスト · 2 人Half of Production AI Is RAG. Fine-Tuning Almost Disappeared.ホスト Sarah Guo, Elad GilBraintrust CEO Ankur Goyal tells No Priors what Notion, Zapier, and Vercel actually ship — and which hyped techniques they quietly dropped.評価とオブザーバビリティ評価(Evals)検索拡張生成(RAG)+3
39:00EN
No 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.インフラとデプロイData quality & curationPost-training+3
32:48EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年11月16日ポッドキャスト · 2 人Fourteen People, $200 Million of Compute, and the Reliability Bottleneck for Agentsホスト Sarah Guo, Elad GilImbue co-founders Kanjun Qiu and Josh Albrecht on why agents fail, why language models cannot learn general algorithms, and why they are spending a giant round on GPUs rather than headcount.エージェントコーディングエージェントエージェント工学+3
39:45EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年7月27日ポッドキャスト · 2 人Palantir's 13th Employee: The Model Is a Stochastic Genie. Ontology Is the Stake That Tethers Itホスト Sarah Guo, Elad GilCTO Shyam Sankar on 550 microservices, air-gapped submarines, and why Palantir's ontology is what large language models were waiting for.企業と戦略エンタープライズ AIAI Strategy+3
42:18EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年5月18日ポッドキャスト · 2 人Ten Percent of Search Is Health — and the Doctor Is Googling Tooホスト Sarah Guo, Elad GilGoogle researcher Karan Singhal on Med-PaLM 2, the real bar for medical language models, and why medicine is a harder alignment lab than chatbots.モデルと学習AI in healthcare安全性とガバナンス+3
1:13:06EN
Lex Fridman· 2019年8月19日ポッドキャスト · 2 人Lockheed Martin's CTO on Autonomy, the Moon, and the Culture of Not Getting It Wrongゲスト Keoki Jackson · ホスト Lex FridmanKeoki Jackson tells Lex Fridman why going back to the Moon is the easy part—and why proving a learning system will still do the right thing is not.セキュリティと安全性安全性とガバナンス人による検証(HITL)+3
1:31:41EN
Lenny's Podcastポッドキャスト · 2 人The Worst Model You'll Ever Use: Kevin Weil on Building Products at OpenAI's Paceゲスト Kevin Weil · ホスト Lenny RachitskyOpenAI's chief product officer explains how evals, light planning, fine-tuned model ensembles and a small PM team shape the way the company ships.プロダクトと UXProduct LeadershipAI Product Management+3
1:22:36EN
Lenny's Podcastポッドキャスト · 2 人Stop Chasing AI News: Chip Huyen on What Actually Makes AI Products Betterゲスト Chip Huyen · ホスト Lenny RachitskyAuthor of AI Engineering walks through pre-training, post-training, RL, evals and RAG, then explains what separates companies that get value from AI from those that stall.プロダクトと UXファインチューニング検索拡張生成(RAG)+3
1:07:08EN
Lenny's Podcastポッドキャスト · 2 人If the Model Is the Product, the Eval Is the PRD: Inside Mercor's Riseゲスト Brendan Foody · ホスト Lenny RachitskyMercor CEO Brendan Foody explains why AI labs will pay almost anything for expert-written evals, how his company grew from $1 million to a $400 million run rate in 16 months, and what that means for jobs and founders.評価とオブザーバビリティ評価(Evals)Data quality & curation+3
1:16:17EN
Lenny's Podcastポッドキャスト · 2 人Faster, But for What? Nicole Forsgren on Measuring Developer Productivity in the AI Eraゲスト Nicole Forsgren · ホスト Lenny RachitskyThe creator of DORA and SPACE explains why most productivity metrics mislead, how AI changes flow and trust, and how to build a developer experience program that proves its value.評価とオブザーバビリティDeveloper productivity評価(Evals)+3