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1:06:39EN
Unsupervised Learning: With Jacob Effron· 9 ene 2024PódcastOpenAI's First DevRel Writes 90% of His Code with ChatGPT — and Says Web Agents Still Need YearsPresenta: Jacob EffronLogan Kilpatrick on picking GPT-3.5 versus GPT-4, why plugins stalled, and why the public internet is not ready for autonomous agents.
1:22:59EN
Cognitive Revolution "How AI Changes Everything"· 2 dic 2023PódcastIf Your Agent Is Right 80% of the Time, Ten Steps Leave You With 10%Presenta: Nathan LabenzImbue CTO Josh Albrecht tells Nathan Labenz how a 27-person, pre-product research company is putting $200 million and 10,000 H100s toward agents that can actually finish a long job.
32:48EN
No Priors: AI, Machine Learning, Tech, & Startups· 16 nov 2023Pódcast · 2 vocesFourteen People, $200 Million of Compute, and the Reliability Bottleneck for AgentsPresenta: 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.
1:23:10ENCognitive Revolution "How AI Changes Everything"· 19 sept 2023PódcastLuxury Purses Under $500 Beat a Bank's Fraud ModelPresenta: Nathan LabenzArthur.ai CEO Adam Wenchel on boundary attacks, LLM firewalls, and why a model that eats raw text cannot be secured from the inside.
55:08ENCognitive Revolution "How AI Changes Everything"· 29 ago 2023PódcastOne Model Inside 38 Products: Paige Bailey on How Google Trains and Ships PaLM 2Presenta: Nathan LabenzAt Google I/O in May 2023, PaLM 2 arrived already running in more than two dozen products — and its lead product manager walks through what that actually took.
39:45ENNo Priors: AI, Machine Learning, Tech, & Startups· 27 jul 2023Pódcast · 2 vocesPalantir's 13th Employee: The Model Is a Stochastic Genie. Ontology Is the Stake That Tethers ItPresenta: 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.
12:20EN
Matthew Berman· 10 jul 2023Testing UltraLM 13B: A Small Model’s Strengths and Reasoning ErrorsMatthew Berman · Forward FutureA 2023 local test finds useful writing and simple coding alongside failures in games, arithmetic and logic.
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20VC with Harry Stebbings· 30 jun 2023Pódcast · 2 vocesDouwe Kiela on Data, Retrieval and Enterprise AIInvitado: Douwe Kiela · Presenta: Harry StebbingsThe Contextual AI CEO discusses language model trade-offs, evaluation, open models and the hurdles to enterprise use.
18:08ENMatthew Berman· 29 jun 2023Six Language Models Compared on an Informal 2023 Prompt SetMatthew Berman · Forward FutureMatthew Berman tests coding, writing and reasoning with H2O GPT, finding a tie under a small and subjective rubric.
11:49ENMatthew Berman· 1 jun 2023Testing Wizard-Vicuna 30B: Responses, Reasoning, and CodeMatthew Berman · Forward FutureMatthew Berman examines a model marketed as uncensored, demonstrates a 2023 cloud setup, and runs an informal collection of tests.
1:33:51ENCognitive Revolution "How AI Changes Everything"· 23 may 2023PódcastGPT-4 still writes SQL that will not run. She put a guardrail on the modelPresenta: Nathan LabenzShreya Rajpal built Guardrails AI so developers can encode what “correct” means, validate the pieces, and send failures back to the model instead of hoping the prompt holds.
1:25:35ENCognitive Revolution "How AI Changes Everything"· 21 may 2023PódcastTwo and a Half Years From 33.3% to 86.5%: Google Sent Foundation Models to Medical SchoolPresenta: Nathan LabenzVivek Natarajan walks Nathan Labenz through Med-PaLM and Med-PaLM 2: the data-light techniques, the nine-axis clinician evals, and why a high USMLE-style score is the wrong trophy.
42:18ENNo Priors: AI, Machine Learning, Tech, & Startups· 18 may 2023Pódcast · 2 vocesTen Percent of Search Is Health — and the Doctor Is Googling TooPresenta: 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.
1:28:43ENCognitive Revolution "How AI Changes Everything"· 16 may 2023PódcastClinical Guidelines Are 11% Evidence. Curai’s Founder Still Wants GPT-4 in the Exam RoomPresenta: Nathan LabenzNeal Khosla of Curai Health argues that large language models already match median U.S. physicians on today’s tests — and that the real work is scaffolding, supervision, and a doctor’s signature.
58:24ENCognitive Revolution "How AI Changes Everything"· 11 may 2023PódcastAmong 100 Random Doctors, Zak Kohane Would Be Surprised If One Beat GPT-4Presenta: Nathan LabenzHarvard's biomedical informatics chair on a rare newborn case, why drug-style trials will not certify a general medical model, and why the AI should still work for the patient.
1:21:06ENCognitive Revolution "How AI Changes Everything"· 27 abr 2023PódcastEveryone Talks About RLHF. Almost Nobody Is Doing It.Presenta: Nathan LabenzHumanloop CEO Raza Habib on why an LLM API is maybe five percent of a working product, and what actually fills the rest.
1:56:16ENCognitive Revolution "How AI Changes Everything"· 6 abr 2023PódcastThey Used Humans as Stand-In AIs. Now 250,000 People Run Elicit.Presenta: Nathan LabenzOught's founders tell Nathan Labenz why open-ended reasoning has to be decomposed, supervised, and grounded—not scaled until it merely looks persuasive.
1:23:53ENCognitive Revolution "How AI Changes Everything"· 17 mar 2023PódcastGPT-4, 24 Hours Later: No Safety Locks, a Captcha Hire, and a U.S.–China DeadlockPresenta: Nathan LabenzA day after OpenAI shipped GPT-4, ChinaTalk sat a red teamer, a pessimist, and a policy researcher down to argue over capability, safety, and a race nobody can brake.
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Lex Fridman· 19 ago 2019Pódcast · 2 vocesLockheed Martin's CTO on Autonomy, the Moon, and the Culture of Not Getting It WrongInvitado: Keoki Jackson · Presenta: 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.
1:45:49ENCognitive Revolution "How AI Changes Everything"PódcastTrust at Scale: Elicit's Founders on Reasoning Languages, World Models and Automating the CompanyPresenta: Nathan LabenzAndreas Stuhlmüller and Jungwon Byun explain how Elicit keeps frontier models checkable for high-stakes science, and where they think AI reasoning is heading.
1:25:13EN
Lenny's PodcastPódcastCodex Is Not Just a Coding Tool: OpenAI's Plan for an Agent That Behaves Like a TeammatePresenta: Lenny RachitskyCodex product lead Alexander Embiricos explains the 20x growth, why every useful agent may need to write code, and why human review speed is the real bottleneck.
1:33:50ENLenny's PodcastPódcastEvals Are the New PRDs: Inside Anthropic's Research Product TeamPresenta: Lenny RachitskyDianne Penn, Anthropic's head of product for research and Labs, explains how the company found its identity, how her team turns user feedback into evals, and why human judgment still matters.
1:31:41ENLenny's PodcastPódcast · 2 vocesThe Worst Model You'll Ever Use: Kevin Weil on Building Products at OpenAI's PaceInvitado: Kevin Weil · Presenta: 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.
1:22:36ENLenny's PodcastPódcast · 2 vocesStop Chasing AI News: Chip Huyen on What Actually Makes AI Products BetterInvitado: Chip Huyen · Presenta: 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.Cargar másMostrando 24 de 192