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32:48EN
No Priors: AI, Machine Learning, Tech, & Startups· Nov 16, 2023Podcast · 2 speakersFourteen People, $200 Million of Compute, and the Reliability Bottleneck for AgentsHost 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.AgentsCoding agentsAgent engineering+3
1:23:10EN
Cognitive Revolution "How AI Changes Everything"· Sep 19, 2023PodcastLuxury Purses Under $500 Beat a Bank's Fraud ModelHost 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.Security & safetyAI securityPrompt injection+3
5 slides10:20EN
Matthew Berman· Aug 30, 2023Phind Code Llama 34B vs GPT-4: A 2023 Python Coding TestMatthew Berman · Forward FutureMatthew Berman compares a quantized Phind fine-tune with GPT-4 on games, short functions and refactoring, with mixed results.Open-weight modelsCoding agentsEvals+2
55:08EN
Cognitive Revolution "How AI Changes Everything"· Aug 29, 2023PodcastOne Model Inside 38 Products: Paige Bailey on How Google Trains and Ships PaLM 2Host 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.Models & trainingMultimodal AIEvals+3
39:45EN
No Priors: AI, Machine Learning, Tech, & Startups· Jul 27, 2023Podcast · 2 speakersPalantir's 13th Employee: The Model Is a Stochastic Genie. Ontology Is the Stake That Tethers ItHost 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.Enterprise & strategyEnterprise AIAI Strategy+3
3 slides9:46EN
Matthew Berman· Jul 17, 2023Orca Mini V2 vs. OpenOrca: A 2023 Informal Model ComparisonMatthew Berman · Forward FutureMatthew Berman tests two Orca-inspired models on coding, writing and reasoning, with results shaped by prompt setup and subjective scoring.BenchmarksOpen-weight modelsReasoning & test-time compute+2
3 slides12:20EN
Matthew Berman· Jul 10, 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.Open-weight modelsEvalsModels & training+1
54:00EN
20VC with Harry Stebbings· Jun 30, 2023Podcast · 2 speakersDouwe Kiela on Data, Retrieval and Enterprise AIGuest Douwe Kiela · Host Harry StebbingsThe Contextual AI CEO discusses language model trade-offs, evaluation, open models and the hurdles to enterprise use.Enterprise AIRetrieval-augmented generationData quality & curation+2
6 slides18:08EN
Matthew Berman· Jun 29, 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.BenchmarksOpen-weight modelsModels & training+1
4 slides7:21EN
Matthew Berman· Jun 26, 2023Testing Orca Mini 13B, an Unofficial Model Inspired by OrcaMatthew Berman · Forward FutureMatthew Berman loads a quantized Orca Mini 13B and tries coding, reasoning, arithmetic, and summarization prompts. His 2023 informal test produces several failures and a few successes.Open-weight modelsEvalsDistillation+2
4 slides10:23EN
Matthew Berman· Jun 15, 2023Testing Hosted Falcon 40B and Document Chat in h2oGPTMatthew Berman · Forward FutureMatthew Berman tries H2O.ai’s 2023 hosted Falcon 40B interface on coding, writing and reasoning prompts, then demonstrates document chat.Open-weight modelsEvalsAI research+1
6 slides11:49EN
Matthew Berman· Jun 1, 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.Models & trainingEvalsAI Safety+1
1:33:51EN
Cognitive Revolution "How AI Changes Everything"· May 23, 2023PodcastGPT-4 still writes SQL that will not run. She put a guardrail on the modelHost 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.Security & safetyEvalsHuman-in-the-loop validation+3
1:25:35EN
Cognitive Revolution "How AI Changes Everything"· May 21, 2023PodcastTwo and a Half Years From 33.3% to 86.5%: Google Sent Foundation Models to Medical SchoolHost 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.Models & trainingAI in healthcareFine-tuning+3
42:18EN
No Priors: AI, Machine Learning, Tech, & Startups· May 18, 2023Podcast · 2 speakersTen Percent of Search Is Health — and the Doctor Is Googling TooHost 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.Models & trainingAI in healthcareSafety & governance+3
1:28:43EN
Cognitive Revolution "How AI Changes Everything"· May 16, 2023PodcastClinical Guidelines Are 11% Evidence. Curai’s Founder Still Wants GPT-4 in the Exam RoomHost 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.Enterprise & strategyAI in healthcareProduct Strategy+3
58:24EN
Cognitive Revolution "How AI Changes Everything"· May 11, 2023PodcastAmong 100 Random Doctors, Zak Kohane Would Be Surprised If One Beat GPT-4Host 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.AI in healthcareEvalsHuman-AI Collaboration+3
1:21:06EN
Cognitive Revolution "How AI Changes Everything"· Apr 27, 2023PodcastEveryone Talks About RLHF. Almost Nobody Is Doing It.Host Nathan LabenzHumanloop CEO Raza Habib on why an LLM API is maybe five percent of a working product, and what actually fills the rest.Product & UXEvalsObservability & reliability+3
1:56:16EN
Cognitive Revolution "How AI Changes Everything"· Apr 6, 2023PodcastThey Used Humans as Stand-In AIs. Now 250,000 People Run Elicit.Host 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.RAG & knowledgeAgent engineeringEvals+3
1:23:53EN
Cognitive Revolution "How AI Changes Everything"· Mar 17, 2023PodcastGPT-4, 24 Hours Later: No Safety Locks, a Captcha Hire, and a U.S.–China DeadlockHost 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.Security & safetyRed TeamingSafety & governance+3
3 slides11:53EN
Matthew Berman· Mar 14, 2023Testing GPT-4 Against GPT-3.5 at LaunchMatthew Berman · Forward FutureMatthew Berman reviews OpenAI's March 2023 GPT-4 announcement and compares the models on scheduling, reasoning, safety and travel prompts.OpenAIFoundation ModelsEvals+1
1:13:06EN
Lex Fridman· Aug 19, 2019Podcast · 2 speakersLockheed Martin's CTO on Autonomy, the Moon, and the Culture of Not Getting It WrongGuest Keoki Jackson · Host 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.Security & safetySafety & governanceHuman-in-the-loop validation+3
1:45:49EN
Cognitive Revolution "How AI Changes Everything"PodcastTrust at Scale: Elicit's Founders on Reasoning Languages, World Models and Automating the CompanyHost 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.AgentsWorld modelsReasoning & test-time compute+3
1:25:13EN
Lenny's PodcastPodcastCodex Is Not Just a Coding Tool: OpenAI's Plan for an Agent That Behaves Like a TeammateHost 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.Coding agentsCode review & verificationDeveloper productivity+3
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