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4:14:33EN
Lex Fridman· May 9, 2023Podcast · 2 speakersThe Next Token Is Not a Proof: Stephen Wolfram on ChatGPT and Computational TruthGuest Stephen Wolfram · Host Lex FridmanIn his fourth conversation with Lex Fridman, Stephen Wolfram contrasts large language models with Wolfram|Alpha, then follows computational irreducibility from ChatGPT through observers, thermodynamics, and the three great theories of twentieth-century physics.Models & trainingPhilosophyAI research+3
4 slides9:58EN
Matthew Berman· Apr 26, 2023HuggingChat’s 2023 Debut: Testing Writing, Reasoning and Python CodeMatthew Berman · Forward FutureMatthew Berman tries the early OpenAssistant-powered HuggingChat on writing, arithmetic, logic and a Snake game, then compares a few outputs with GPT-3.5 and GPT-4. The results illustrate both promise and limitations in this small historical test.Open-weight modelsBenchmarksModels & training+2
Slides5:47EN
Matthew Berman· Apr 19, 2023Sam Altman on Scaling AI Models: Matthew Berman Examines OpenAI’s 2023 DirectionMatthew Berman · Forward FutureA 2023 discussion of model scaling, possible ways to improve GPT-4 and the safety priorities OpenAI described at the time.Scaling LawsOpenAIModels & training+2
40:25EN
No Priors: AI, Machine Learning, Tech, & Startups· Apr 6, 2023Podcast · 2 speakersA 6-Billion-Parameter Clone of ChatGPT’s Core TrickHost Sarah Guo, Elad GilDatabricks CTO Matei Zaharia tells Sarah Guo and Elad Gil how Dolly learned instruction-following on fifty times less data than GPT-3 — and why he would rather look facts up than bake them into a trillion-parameter network.Models & trainingOpen-weight modelsFine-tuning+3
5 slides6:24EN
Matthew Berman· Apr 6, 2023BloombergGPT: Mixing Financial and General Data for a Language ModelMatthew Berman · Forward FutureMatthew Berman examines the 2023 finance-focused research model, its training corpus, evaluation and decision not to release weights.AI in financeModels & trainingEvals+1
Slides7:53EN
Matthew Berman· Apr 4, 2023HuggingGPT: Using a Language Model to Coordinate AI ToolsMatthew Berman · Forward FutureMatthew Berman explains a research system that routes multimodal tasks to specialist models using a language model as controller.Agent orchestrationMultimodal AIModels & training+1
5 slides8:05EN
Matthew Berman· Mar 29, 2023A 2023 Guide to Running the Original GPT4All Model LocallyMatthew Berman · Forward FutureMatthew Berman demonstrates an early CPU-based GPT4All release, its terminal installation and the resources available for fine-tuning.Open-weight modelsModels & trainingInfrastructure & deployment
3 slides6:50EN
Matthew Berman· Mar 19, 2023Running LLaMA and Alpaca Locally: A 2023 Dalai TutorialMatthew Berman · Forward FutureMatthew Berman demonstrates an early local-model setup on a MacBook Air and explains the settings that control generation.Local inferenceModels & trainingFine-tuning+1
5 slides7:55EN
Matthew Berman· Feb 20, 2023How to Train a Custom Image Model in Leonardo.aiMatthew Berman · Forward FutureMatthew Berman walks through Leonardo.ai’s 2023 model galleries, training-set guidance, and custom model workflow, then shares results from several experiments.Generative mediaModels & training
8 slides1:03:29ZH → English
跟李沐学AI· Jan 12, 2023A Multimodal Paper Review: BLIP, CoCa, and BEiT-3From cleaning image–text data to unified pretraining, a guide to the architectures, objectives, and connections behind three vision–language models.Multimodal AIModels & trainingData quality & curation
6 slides1:07:10ZH → English
跟李沐学AI· Dec 29, 2022InstructGPT: From Human Feedback to Language Model AlignmentA guide to InstructGPT’s training process, results, and limitations, from supervised fine-tuning and reward modeling to PPO.Reinforcement LearningModels & training
3:28:47EN
Lex Fridman· Oct 29, 2022Podcast · 2 speakersKarpathy Calls Trained Neural Nets Complicated Alien ArtifactsGuest Andrej Karpathy · Host Lex FridmanOn Lex Fridman's podcast, Andrej Karpathy refuses the brain analogy, walks the Fermi paradox through Nick Lane's chemistry, and treats the Transformer as a general-purpose differentiable computer.Models & trainingAGIAutonomous Driving+3
2:10:08EN
Lex Fridman· Jul 26, 2022Podcast · 2 speakersGato Is Only the BeginningGuest Oriol Vinyals · Host Lex FridmanDeepMind's Oriol Vinyals talks with Lex Fridman about generalist agents, thrown-away weights, and whether human-level AGI arrives in his lifetime.Models & trainingAGIAI research+3
2:10:39EN
Lex Fridman· Jul 1, 2022Podcast · 2 speakersDemis Hassabis: Solve Intelligence, Then Solve Everything ElseGuest Demis Hassabis · Host Lex FridmanThe DeepMind CEO tells Lex Fridman why the Turing Test is the wrong exam, how AlphaFold rewrote biology, and why the quiet radio sky suggests we are probably alone.Models & trainingAI researchAGI+3
2:45:10EN
Lex Fridman· Jan 22, 2022Podcast · 2 speakersA Teenager Learns to Drive in Twenty Hours. A Car Still Cannot.Guest Yann Lecun · Host Lex FridmanYann LeCun tells Lex Fridman why self-supervised world models are the missing dark matter of intelligence, and why machines are not even at the level of a house cat.Models & trainingWorld modelsComputer Vision+3
2:31:57EN
Lex Fridman· Sep 20, 2021Podcast · 2 speakersJay McClelland on How Thought Emerges From Neural NetworksGuest Jay McClelland · Host Lex FridmanThe Stanford cognitive scientist talks with Lex Fridman about connectionism, backpropagation, David Rumelhart, and why intuition discovers what logic later proves.Models & trainingML fundamentalsDeep Learning+3
2:51:33EN
Lex Fridman· Aug 29, 2021Podcast · 2 speakersThe Self Is a GPT Prompt: Wojciech Zaremba on Consciousness, Codex, and Fermi's SilenceGuest Wojciech Zaremba · Host Lex FridmanOpenAI co-founder Wojciech Zaremba tells Lex Fridman he thinks we might be alone in the universe — and that GPT-3, Codex, and a one-handed robot already hint at how intelligence is built.Models & trainingCoding agentsML fundamentals+3
2:18:29EN
Lex Fridman· Aug 8, 2021Podcast · 2 speakersYour Cortex Is 150,000 Brains Voting on a Coffee CupGuest Jeff Hawkins · Host Lex FridmanJeff Hawkins tells Lex Fridman that intelligence is learning a model of the world, the neocortex is tens of thousands of independent maps that vote, and the fastest path to machine intelligence is reverse-engineering that sheet.Models & trainingNeuroscience & AIML fundamentals+3
2:30:30EN
Lex Fridman· Jul 31, 2021Podcast · 2 speakersThe Fallacy of the Successful First StepGuest Ishan Misra · Host Lex FridmanBerkeley's Jitendra Malik explains why computer vision still looks easy, why fully autonomous driving is not near, and what children know that today's networks do not.Models & trainingComputer VisionMultimodal AI+3
1:56:17EN
Lex Fridman· Apr 19, 2021Podcast · 2 speakersIf You Reran Earth a Million Times, Would Anything Like Us Appear?Guest Risto Miikkulainen · Host Lex FridmanRisto Miikkulainen on neuroevolution, hyena raids, basil that never sleeps, and why variation-plus-selection still finds solutions backpropagation cannot see.Models & trainingML fundamentalsAI research+3
2:01:07EN
Lex Fridman· Dec 12, 2020Podcast · 2 speakersMichael Littman isn’t waiting for a runaway god. He’s watching us.Guest Michael Littman · Host Lex FridmanThe Brown reinforcement-learning researcher tells Lex Fridman why accidental superintelligence feels like a 747 assembling itself — and why social media, rote language, and theory of mind worry him more.Models & trainingReinforcement LearningAGI+3
2:10:06EN
Lex Fridman· Aug 14, 2020Podcast · 2 speakersYou Might Have to Understand the World to Understand the Letter AGuest Dileep George · Host Lex FridmanDileep George on recursive cortical networks, why a five-year-old can read any new CAPTCHA, and what the Wright brothers actually learned from birds.Models & trainingNeuroscience & AIWorld models+3
1:41:37EN
Lex Fridman· Jul 21, 2020Podcast · 2 speakersThe Fallacy of the Successful First Step: Jitendra Malik on Why Seeing Still Isn't SolvedGuest Jitendra Malik · Host Lex FridmanBerkeley's Jitendra Malik tells Lex Fridman why computer vision keeps underestimating itself, why full self-driving still needs cognition, and why vision is the parent of language.Models & trainingVision & videoAutonomous Driving+3
1:37:31EN
Lex Fridman· Jul 14, 2020Podcast · 2 speakersThe Robot That Brought the Beer Was Being TeleoperatedGuest Sergey Levine · Host Lex FridmanSergey Levine tells Lex Fridman why hardware is almost closed, why common sense has to be lived, and why offline reinforcement learning is the missing on-ramp from logs to robots that keep getting better.Models & trainingRoboticsReinforcement Learning+3
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