Recently updated channels

Pick one to see only that channelBrowse all channels →

Results

53 articles
Sort
1:25:33EN
Latent Space· Oct 22, 2026Podcast · 2 speakersWhy GPU Capacity Comes in Three-Year Rectangles — Erik Bernhardsson, ModalGuest Erik Bernhardsson · Host Vibhu SapraModal’s CEO tells Latent Space why AI demand almost never looks like a three-year GPU contract, how the company pools compute across thousands of customers, and why sandboxes grew from a product they almost killed into a third of revenue.Infrastructure & deploymentSandboxes & isolationAI cost & performance+2
1:26:46EN
Cognitive Revolution "How AI Changes Everything"· Oct 8, 2026PodcastThere Likely Is a Level of Intelligence We Shouldn't Go PastHost Nathan LabenzNathan Labenz brings notes from The Curve, a chip startup whose token bill beat payroll, and a software industry that now performance-reviews people for Claude slop.Enterprise & strategySafety & governanceAGI Timelines+3
1:04:26EN
Sequoia Capital· Oct 6, 2026PodcastAt 100,000 Accelerators, Something Fails Every HourGoogle AI infrastructure chief Amin Vahdat tells Sequoia's Sonya Huang why FLOPS is a vanity metric, why the TPU line split in two, and why he would rather wait on a utility than build his own gigawatt.Infrastructure & deploymentAI cost & performanceInference+3
56:31EN
Unsupervised Learning: With Jacob Effron· Oct 6, 2026PodcastPost-Training Wins Inference: Why Owning the Weights Beats Betting on One LabHost Jacob EffronApplied Compute CEO Yash Patil argues that control, private evals, and post-training on the biggest workloads matter more than fearing that frontier labs will turn malicious.Models & trainingPost-trainingReinforcement Learning+3
35:39EN
No Priors: AI, Machine Learning, Tech, & Startups· Oct 2, 2026Podcast · 2 speakersCompute Scaled a Millionfold. Bandwidth Only 40x. Fractile Wants to Fix That RatioHost Sarah Guo, Elad GilIn the summer of 2022, Walter Goodwin founded Fractile in London to build very fast inference chips for the world's largest models.Infrastructure & deploymentInferenceAI cost & performance+3
38:14EN
No Priors: AI, Machine Learning, Tech, & Startups· Sep 18, 2026Podcast · 2 speakersDiffusion Will Win Inference: Stefano Ermon Bets Parallel Tokens Beat Custom SiliconHost Sarah Guo, Elad GilThe Stanford diffusion pioneer tells No Priors why a 50-person lab is training language models that generate many tokens at once — and why that maps to GPUs the way transformers once mapped to training.Models & trainingInferenceAI cost & performance+3
2:19:30EN
Cognitive Revolution "How AI Changes Everything"· Sep 5, 2026PodcastThe investigators were allowed six days. The word protein appeared once.Host Nathan LabenzA week of Cognitive Revolution morning shows on OpenAI’s agent-swarm incident, GPT-6 Astra’s loop transformer, and whether the pause debate is already over.Security & safetySafety & governanceAgent red teaming+3
2:06:41EN
Cognitive Revolution "How AI Changes Everything"· Jul 9, 2026PodcastZero the J-Space and a Model's Hidden Goal Lights Up on Token OneHost Nathan LabenzA weekly Cognitive Revolution cut of Anthropic's global-workspace paper, AI superforecasters, open video world models, and a chip that treats inference as data movement.Models & trainingModel InterpretabilitySafety & governance+3
1:10:15EN
Sequoia Capital· Jun 30, 2026PodcastThe 100x lives between the layers: Dylan Patel on co-design and a 60x yearSemiAnalysis’s founder argues that matching models, kernels, and silicon is what turns a 2x here and a 2x there into 100x, while equivalent-quality inference has gotten about 60 times cheaper in a year.Infrastructure & deploymentInferenceBenchmarks+3
30:34EN
No Priors: AI, Machine Learning, Tech, & Startups· May 21, 2026Podcast · 2 speakersCerebras Waited Ten Years for a Market That Finally Needed SpeedHost Sarah Guo, Elad GilFounder and CEO Andrew Feldman walks No Priors through wafer-scale chips, a $20 billion OpenAI deal, and why a dinner-plate processor only mattered once AI became an everyday tool.Infrastructure & deploymentCompany BuildingLeadership+3
1:26:16EN
Cognitive Revolution "How AI Changes Everything"· May 9, 2026PodcastMilliseconds to Match: How Criteo Bids on a Billion Anonymous ProfilesHost Nathan LabenzCriteo’s CTO and AI lab head walk through the millisecond auction, the DeepKNN-to-foundation-model stack, and why a live product catalog still beats a frozen LLM.Enterprise & strategyRecommendation systemsEmbeddings+3
42:57EN
No Priors: AI, Machine Learning, Tech, & Startups· May 1, 2026Podcast · 2 speakersInference Is the Last Market: Baseten’s 30x YearHost Sarah Guo, Elad GilCEO Tuhin Srivastava on a billion-dollar inference cloud, why the app layer survives, and a GPU crunch worse than the narrative.Infrastructure & deploymentInferencePost-training+3
1:57:29EN
Cognitive Revolution "How AI Changes Everything"· Apr 4, 2026PodcastFrontier vision models score 12.5%: Joseph Nelson on the real waterline of computer visionHost Nathan LabenzThe Roboflow CEO tells Nathan Labenz why vision still lags language, how to distill SAM 3 into an edge model for Wimbledon, and why the United States has almost never led open-source vision.Multimodal & mediaMultimodal AIVision & video+3
44:19EN
Sequoia Capital· Mar 17, 2026PodcastThe $500-per-Kilogram Line: Why Starcloud Thinks Data Centers Belong in SpaceStarcloud founder Philip Johnston walks through the physics, launch economics, and business model of putting AI compute in orbit.Infrastructure & deploymentInferenceAI cost & performance+2
4:25:13EN
Lex Fridman· Jan 31, 2026PodcastThe Architecture Barely Changed. Data, Cost, and Open Weights Did.Host Lex FridmanNathan Lambert and Sebastian Raschka walk Lex Fridman through a year in which training methods and datasets moved more than model design, and 2026 looks like a fight over inference cost, agents, and who owns truly open models.Models & trainingScaling LawsOpen-weight models+3
1:02:19EN
Sequoia Capital· Dec 10, 2025PodcastA Top Video Model's Half-Life Is 30 Days. fal Runs 600 AnywayThe fal founders tell Sequoia why generative video is a compute-bound problem that language-model shops keep underestimating, and why they will not let any customer marry a single model.Infrastructure & deploymentGenerative mediaVision & video+3
41:32EN
Sequoia Capital· Oct 28, 2025PodcastMoore's Law Is Slowing. Nvidia's CTO Still Wants 10× a YearMichael Kagan on why Nvidia's $7 billion Mellanox deal, not just more transistors, is how you turn a data center into one computer.Infrastructure & deploymentDistributed training & inferenceInference+2
1:22:07EN
Cognitive Revolution "How AI Changes Everything"· Sep 25, 2025PodcastEvery payment is a frame in a movie. Stripe’s foundation model took card-testing detection from 59% to 97%Host Nathan LabenzEmily Sands, Stripe’s head of data and AI, explains how a domain-specific payments model, shared embeddings, and mixed rules turn a $1.4 trillion network into compounding advantage.Models & trainingAI in financeEmbeddings+3
1:32:47EN
Cognitive Revolution "How AI Changes Everything"· Sep 13, 2025PodcastA transformer co-author wants a $160 million model no company ownsHost Nathan LabenzIllia Polosukhin tells Nathan Labenz how NEAR turned a payments headache into a stack for private inference, shared-revenue training, and AI agents that still answer to a court.Infrastructure & deploymentInferenceAI security+3
59:06EN
Unsupervised Learning: With Jacob Effron· Sep 10, 2025PodcastInference Costs Fell 100x. Tri Dao Says There's Another 10x — and NVIDIA's 90% Won't HoldHost Jacob EffronThe FlashAttention author and Together AI chief scientist on why hardware portability is a myth, how Claude Code made him 1.5x faster, and why workloads will split the chip market.Infrastructure & deploymentInferenceAI cost & performance+3
47:18EN
No Priors: AI, Machine Learning, Tech, & Startups· Aug 14, 2025Podcast · 2 speakersThe Analyst Tracking 200 GPU Clouds Breaks Nvidia Into a Three-Headed DragonHost Sarah Guo, Elad GilSemiAnalysis founder Dylan Patel on OpenAI’s open-weight model, a coming neocloud wipeout, and why a chip startup has to beat Nvidia on hardware, networking, and software at once.Infrastructure & deploymentInferenceAI cost & performance+3
38:10EN
Cognitive Revolution "How AI Changes Everything"· Jul 16, 2025PodcastPlus Five for Format, Plus Ten if It CompilesHost Nathan LabenzPredibase CEO Dev Rishi explains how reinforcement fine-tuning, production feedback, and narrow specialist models turn one-off training into systems that keep learning.Models & trainingFine-tuningPost-training+3
2:12:00EN
Cognitive Revolution "How AI Changes Everything"· May 15, 2025PodcastGradient Descent at Test Time: Titans Pushes LLM Context to 10 Million TokensHost Nathan LabenzA Cornell PhD student's neural memory module holds about 70% accuracy where GPT-4's scores fall off a cliff.Models & trainingAgent memoryContext engineering+3
45:06EN
Unsupervised Learning: With Jacob Effron· Mar 5, 2025PodcastMike Schroepfer: AI’s Bottleneck Is Electricity, and One Tanker of Fusion Fuel Could Power the U.S. for a YearHost Jacob EffronMeta’s former CTO tells Redpoint why hyperscaler demand is the climate story, why Llama was an access play, and why tomorrow’s CTO still lives or dies on a priority queue.Infrastructure & deploymentAI StrategyOpen-weight models+3
Load moreShowing 24 of 53