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57:41EN
No Priors: AI, Machine Learning, Tech, & Startups· 25 feb 2025Pódcast · 2 vocesA Hundred Million Cells, Four People, Three Days: Biology's ImageNet MomentPresenta: 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.Modelos y entrenamientoAI for scienceData quality & curation+3
1:18:09EN
20VC with Harry Stebbings· 24 feb 2025Pódcast · 2 vocesSteeve Morin on AI Inference, Chips and the Cost of Switching HardwareInvitado: Steeve Morin · Presenta: Harry StebbingsThe ZML founder explains the difference between training and production inference and offers a competitive view of the AI hardware market.Infraestructura y despliegueInferenceAI cost & performance+2
1:25:52EN
20VC with Harry Stebbings· 17 feb 2025Pódcast · 2 vocesJonathan Ross on Groq, Inference Economics and the AI Infrastructure RaceInvitado: Jonathan Ross · Presenta: Harry StebbingsThe Groq CEO explains his bet on inference chips, compares his company’s architecture with GPUs, and discusses the financing and power needed to scale.Infraestructura y despliegueModelos y entrenamientoAI cost & performance+2
5 diapositivas15:33EN
Matthew Berman· 13 feb 2025Latent Reasoning and Recurrent Depth: Scaling Compute Before the Next TokenMatthew Berman, Yann Lecun · Forward FutureMatthew Berman examines a 3.5-billion-parameter research model that repeats internal computations, and asks how it relates to language, planning and chain of thought.Reasoning & test-time computeModelos y entrenamientoAI research+2
22:32EN
No Priors: AI, Machine Learning, Tech, & Startups· 7 feb 2025Pódcast · 2 vocesThe $5.5 Million Was Only the Last MilePresenta: Sarah Guo, Elad GilOn No Priors' 100th episode, Sarah Guo and Elad Gil separate DeepSeek's paper cost from the compute behind it, then walk through OpenAI's Deep Research, Stargate, and their bets for 2025.Modelos y entrenamientoAI StrategyAI cost & performance+3
5 diapositivas12:07EN
Matthew Berman· 2 feb 2025TinyZero: A $30 Reinforcement-Learning Experiment on a Small Arithmetic TaskMatthew Berman · Forward FutureMatthew Berman explains how a pretrained Qwen model learned to search and check answers in Countdown, and why the experiment does not recreate DeepSeek-R1.Reinforcement LearningReasoning & test-time computeAI research+2
6 diapositivas24:22EN
Matthew Berman· 31 ene 2025Dario Amodei on DeepSeek, AI Costs and Chip Export ControlsMatthew Berman, Jonathan Ross, David Sacks · Forward FutureMatthew Berman examines the Anthropic CEO’s 2025 essay, the limited evidence behind distillation allegations and the economics of model training.Modelos y entrenamientoAI cost & performanceGeopolitics+2
1:50EN
Matthew Berman· 30 ene 2025Five AI Trends Discussed by Coveo’s Sébastien PaquetMatthew Berman · Forward FutureMatthew Berman summarizes a 2025 interview on production systems, smaller models, agents and trust.IA empresarialAgentesModelos y entrenamiento+1
4 diapositivas20:34EN
Matthew Berman· 28 ene 2025DeepSeek R1 and the Debate Over AI Costs and ComputeMatthew Berman · Forward FutureMatthew Berman examines 2025 reactions to DeepSeek, from training efficiency and market losses to open weights, privacy and the possibility of a demand rebound.Modelos y entrenamientoAI cost & performanceOpen-weight models+2
1:48:20EN
Cognitive Revolution "How AI Changes Everything"· 25 ene 2025PódcastFrom 15% to 70% on Right-or-Wrong Scores: DeepSeek-R1 Laid Reinforcement Learning's Cards on the TablePresenta: Nathan LabenzOn Inauguration Day 2025, DeepSeek and Moonshot dropped reasoning-model results that Nathan Labenz reads as proof the reinforcement-learning recipe is simple, public, and still climbing.Modelos y entrenamientoReinforcement LearningReasoning & test-time compute+3
1:40:22EN
Cognitive Revolution "How AI Changes Everything"· 22 ene 2025PódcastTwenty-atom crystals taught an AI the physics of a heartbeatPresenta: 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.Modelos y entrenamientoAI for scienceFundamentos de ML+3
3 diapositivas16:25EN
Matthew Berman· 18 ene 2025Why Test-Time Compute Could Reshape AI InferenceMatthew Berman, Lisa Su, Jensen Huang · Forward FutureMatthew Berman explains how extra computation at inference can improve model outputs, and why hardware executives expect a much larger inference market.AI researchModelos y entrenamientoAI cost & performance+1
2:04:45EN
Cognitive Revolution "How AI Changes Everything"· 7 ene 2025Pódcasto3 Hit Superhuman on ARC-AGI. It Still Lost at Tic-Tac-ToePresenta: Nathan LabenzNathan Labenz walks through OpenAI's o3 scores, deliberative alignment, and why 2024's biggest surprise was beating PhDs while failing to book a calendar invite.Modelos y entrenamientoReasoning & test-time computeBenchmarks+3
2 diapositivas30:29EN
Matthew Berman· 3 ene 2025How Researchers Think o1-Style Reasoning Models WorkMatthew Berman · Forward FutureMatthew Berman explains a research survey of policy initialization, rewards, search and reinforcement learning, and the open questions behind reasoning models.Reinforcement LearningModelos y entrenamientoAI research+1
1:07:32EN
Unsupervised Learning: With Jacob Effron· 18 dic 2024Pódcasto1 Is a New Generation — and the Day AGI Arrives Will Feel BoringPresenta: Jacob EffronOpenAI’s former chief research officer Bob McGrew on why o1 is a 100x leap, why agents stall on reliability, and why AGI may land as office tedium rather than a single dramatic moment.Modelos y entrenamientoReasoning & test-time computeIngeniería de agentes+3
48:18EN
Unsupervised Learning: With Jacob Effron· 6 dic 2024PódcastNoam Brown: There's No Hard Wall—Just Eight Orders of Magnitude of HeadroomPresenta: Jacob EffronA ChatGPT query costs about a penny. The problems society cares about most, he says, are worth a million dollars.Modelos y entrenamientoReasoning & test-time computeAGI+3
7 diapositivas27:54EN
Matthew Berman· 5 dic 2024AI News in December 2024: Genie 2, World Models, MCP and New AI ReleasesMatthew Berman · Forward FutureMatthew Berman surveys early interactive world models, voice and video tools, QwQ, distributed training and Amazon’s Nova announcements.World modelsOpen-weight modelsAI agents+1
1:49:41EN
Cognitive Revolution "How AI Changes Everything"· 21 nov 2024PódcastA Team of Fifteen Matched Meta’s Post-Training on Meta’s Own BasePresenta: 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.Modelos y entrenamientoPost-trainingData quality & curation+3
7 diapositivas14:50EN
Matthew Berman· 19 nov 2024AI News in November 2024: Mistral, Gemini, Nuclear Safety and Medical AIMatthew Berman · Forward FutureMatthew Berman surveys Le Chat updates, model rankings, nuclear safeguards and a diagnostic reasoning study.AI StrategyBenchmarksAI Safety+2
4 diapositivas14:05EN
Matthew Berman· 15 nov 2024Test-Time Training Improves ARC Puzzle Results in an MIT StudyMatthew Berman · Forward FutureMatthew Berman explains a 2024 paper that adapts a language model to each puzzle at inference time and combines its predictions with program synthesis.AI researchReasoning & test-time computeBenchmarks+1
5:15:00EN
Lex Fridman· 11 nov 2024Pódcast · 2 vocesDario Amodei Has Seen This Scaling Movie Enough TimesInvitado: Dario Amodei · Presenta: Lex FridmanAnthropic’s CEO puts numbers on frontier training costs and AGI, then hands the mic to the people who shape Claude’s character and look inside its weights.Modelos y entrenamientoSeguridad y gobernanzaScaling Laws+3
0:35EN
Matthew Berman· 6 nov 2024An IBM Visit: Granite Models, InstructLab and Quantum ComputingMatthew Berman · Forward FutureMatthew Berman previews a longer discussion of IBM’s small AI models, model customization and quantum research.Modelos y entrenamientoAI research
3 diapositivas11:56EN
Matthew Berman· 3 nov 2024IBM Granite 3.0 and InstructLab: Small Models for Enterprise AIMatthew Berman · Forward FutureMatthew Berman reviews IBM's 2024 model family and its approach to adding domain knowledge. IBM partnered on the video and invited him to its event.Modelos y entrenamientoIA empresarialAjuste fino+2
2:24:18EN
Cognitive Revolution "How AI Changes Everything"· 30 oct 2024PódcastMMLU Stays at Chance Until Late Training. Loss Is Only an Alarm.Presenta: Nathan LabenzZyphra’s training lead walks through Zamba 2’s hybrid architecture, the evals that actually matter, and the trade secrets small labs still have to rediscover.Modelos y entrenamientoLocal inferenceEvaluaciones+3
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