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16:29EN
AI Engineer· Oct 28, 2026Chris Vela on Benchmarking vLLM Configurations with Runpod BenchPodChris Vela · RunpodRunpod’s Chris Vela demonstrates a dashboard for comparing LLM serving configurations and choosing performance settings with workload-specific data.
38:47EN
Theo - t3․gg· Oct 28, 2026Theo’s Long-Running Agent Experiments: Verification, Compute and CostTheo Browne · Ping LabsA skateboard game and two compiler projects show how repeated checks and flexible compute can sustain agent work—and how expensive those loops can become.
23:22ENAI Engineer· Oct 27, 2026Noyan Tokgozoglu: How Optiver Builds an AI Platform for Fast, Measurable DecisionsNoyan Tokgozoglu · OptiverThe trading firm’s AI engineering lead explains same-day model adoption, on-premises infrastructure, cost controls and the limits of replaying agent evaluations.
34:21EN
Matthew Berman· Oct 27, 2026Matthew Berman Examines Anthropic’s IPO Filing, AI Growth and GovernanceMatthew Berman, Sam Altman · Forward FutureThe presenter reviews the S-1’s financial metrics, compute strategy and voting structure while questioning the tension between rapid AI development and safety.
36:07ENTheo - t3․gg· Oct 27, 2026Theo on Token Costs, Coding Agents, and the Price of AI CapabilityTheo Browne · Ping LabsA viral estimate of Lauren's AI spending prompts a closer look at cache pricing, benchmarks, and the changing work of coding agents.
1:11:27EN
Invest Like The Best· Oct 27, 2026Podcast · 2 speakersCliff Sosin: What Remains Valuable When AI Intelligence Gets CheapGuest Cliff Sosin · Host Patrick O'ShaughnessyThe investor explores the limits of prediction, the economics of AI infrastructure and the assets that may complement abundant intelligence.
16:38ENAI Engineer· Oct 27, 2026Aiden Sochowski: Securing 300 Agents in a 60-Person CompanyAiden Sochowski · RunlayerRunlayer’s founding engineer explains what session monitoring revealed about agent permissions, prompt injection, tool errors and runaway cost.
55:06EN
SemiAnalysis· Oct 27, 2026Podcast · 4 speakersAnthropic's S-1: Revenue, Compute Costs and the Race to ScaleThe SemiAnalysis panel examines Anthropic’s filing, from improving compute economics to customer concentration and competition.
20:55ENAI Engineer· Oct 26, 2026Jesse Hall: Build Voice Agents for Conversations, Not LeaderboardsJesse Hall · LiveKitLiveKit’s Jesse Hall explains how to evaluate voice agents as real-time systems: understand callers, handle interruptions, keep talking while tools run, and measure the delay people actually hear.
18:27ENAI Engineer· Oct 26, 2026Daksh Gupta on Building a Better AI Code Review AgentDaksh Gupta · GreptileGreptile co-founder Daksh Gupta explains why a webhook plus a coding agent is not enough for reliable pull-request review—and how targeted prompts, incident data, model inversion, codebase context, browser testing, and task-specific model routing can help.
23:48EN
20VC with Harry Stebbings· Oct 26, 2026Podcast · 2 speakersSatya Nadella on Zero Trust for AI and Why Every Company Should Own Its IntelligenceGuest Satya Nadella · Host Harry StebbingsThe Microsoft CEO argues that capable agents need security boundaries even as alignment research remains unsettled, and explains why firms should retain the value created by their own AI use.
1:50:48EN
Y Combinator· Oct 24, 2026Why Inference Matters 12× More Than TrainingFrançois Chaubard, Dan Fu, Jeff Morgan, Joe Fioti, Liangsheng Yin · Y CombinatorYC Paper Club walks the inference stack from an API request down to GPU kernels. Four talks from Together AI, Ollama, Luminal, and SGLang argue that serving quality, not just training FLOPs, is where most of the compute and the money now sit.
25:50ENMatthew Berman· Oct 24, 2026Kimi K3.1 Pro Tested: Strong 3D Demos, Uneven Results and Competitive PricingMatthew Berman · Forward FutureMatthew Berman tests the open-weight model on coding, 3D rendering and visual explanations, then compares benchmark results and prices.
32:20ENMatthew Berman· Oct 23, 2026Who Is Local AI For? The Costs, Trade-offs and a Hybrid FutureMatthew Berman · Forward FutureMatthew Berman weighs data control and independence against hardware cost, setup complexity and inference speed.
1:09:00EN
Dwarkesh Patel· Oct 22, 2026Podcast · 9 speakersDwarkesh Patel: What will computer chips look like in 2045?Guest Chris Auth, Kevin Fischer, Jack Kavalieros, Tyler Osborn, Pushkar Ranade, Gary Dickerson, Peter Wennink, Elon Musk · Host Dwarkesh PatelAfter two days inside Intel’s most advanced fab, Dwarkesh Patel walks through gate-all-around, backside power, High-NA EUV, ruthenium, CFET, and hybrid bonding — and asks Intel’s leadership how the industry can possibly meet AI’s 3×-a-year compute demand when the world’s chipmaking tools cannot.
59:41EN20VC with Harry Stebbings· Oct 22, 2026Podcast · 3 speakers20VC: Venture Fund Size, AI Valuations and the Changing Software MarketGuest Jason Lemkin, Rory O’Driscoll · Host Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O'Driscoll debate venture concentration, infrastructure risk, code review and the assumptions behind fast-growing AI companies.
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.
17:42ENAI Engineer· Oct 21, 2026Is a Faster Model Actually Faster? Measure the Finished Job, Not the TokensMorgan Suo · MiniMaxMiniMax's Morgan Suo takes the engineering changes inside M3.1 Flash one by one and asks the question that matters to users: does the job an analyst needs actually get done sooner, cheaper and correctly?
17:42ENAI Engineer· Oct 20, 2026Oliver Kennon: Why GPU Operating Capability Changes the Cost of AIOliver Kennon · SemiAnalysisA comparison of inference configurations leads to a broader discussion of useful output, security, costs and compute futures.
1:17:09EN20VC with Harry Stebbings· Oct 15, 2026Podcast · 3 speakers20VC on Pro Rata Rights, AI Pricing and the Changing Software MarketGuest Jason Lemkin, Rory O’Driscoll · Host Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate investor rights, model economics and the choices facing software companies and their employees.
38:30ENTheo - t3․gg· Oct 14, 2026Theo Tests Gemini 4 Argon: Design Strengths and Code-Review ConcernsTheo Browne · Ping LabsA strong result on a narrow skateboarding benchmark contrasts with poor findings in Theo’s own codebase audits.
10:36ENMatthew Berman· Oct 13, 2026Meta Muse Wonder Tested: Strong Benchmarks, Mixed Demos and Quota FrictionMatthew Berman · Forward FutureMatthew Berman tests Meta’s models on browser demos and reviews their published benchmark scores, availability and cost.
38:02ENTheo - t3․gg· Oct 13, 2026Meta’s Muse Wonder Full: A Coding Agent Tested Against Opus and SolTheo Browne · Ping LabsTheo Browne tests Meta’s new model on code review, debugging, delegation and benchmarks, finding promising strengths alongside important limits.
18:18ENTheo - t3․gg· Oct 12, 2026Why AI Bills Can Rise as Intelligence Gets CheaperTheo Browne · Ping LabsTheo Browne explains the difference between token prices, task costs and capability, and why more useful agents can still drive larger bills.Load moreShowing 24 of 296