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5 slides20:55EN
AI 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.Voice AIAgent engineeringEvals+2
8 slides18:27EN
AI 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.Code review & verificationCoding agentsDeveloper workflows & testing+2
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.Enterprise AIAI securityEvals+2
32 slides1:50:48EN
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.InferenceGPU programming & kernelsKV caching & prefix reuse+2
6 slides25:50EN
MBMatthew 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.Open-weight modelsBenchmarksAI cost & performance+1
2 slides32:20EN
MBMatthew 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.Local inferenceOpen-weight modelsAI cost & performance+1
19 slides1:09:00EN
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.SemiconductorsAI cost & performanceInfrastructure & deployment+2
59:41EN
20VC 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.Venture CapitalInvestingAI cost & performance+2
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
2 slides17:42EN
AI 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?AI cost & performanceInferenceQuantization+2
1:17:09EN
20VC 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.Venture CapitalAI cost & performanceRobotics+2
5 slides10:36EN
MBMatthew 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.Models & trainingBenchmarksAI cost & performance+1
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
1:10:12EN
Cognitive Revolution "How AI Changes Everything"· Oct 7, 2026PodcastOutSystems Went From 4 Major Features a Quarter to 26. Token Spend Fell AnywayHost Nathan LabenzCEO Woodson Martin on software that never breaks, why most enterprise work does not need a frontier model, and how AI is finally shrinking the IT backlog.Enterprise & strategyEnterprise AICoding agents+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
1:05:01EN
20VC with Harry Stebbings· Oct 3, 2026Podcast · 2 speakersChase Lochmiller on AI Data Centers, Energy and GPU EconomicsGuest Chase Lochmiller · Host Harry StebbingsCrusoe’s CEO discusses the constraints on AI infrastructure, the economics of GPU capacity and his company’s approach to energy and managed inference.Infrastructure & deploymentEnergyInference+2
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
1:28:08EN
Cognitive Revolution "How AI Changes Everything"· Oct 1, 2026PodcastThe same H100 costs 3x at AWS, and a four-month-old lab is catching genes the top sequencers missedHost Nathan LabenzA Cognitive Revolution weekly briefing on a possible U.S.–China AI hotline, why hyperscalers charge two to three times as much for identical chips, co-writing a novel with frontier models, and an AI loop that re-diagnosed a child a premier prenatal lab had cleared.Enterprise & strategySafety & governanceAI cost & performance+3
4 slides10:00EN
MBMatthew Berman· Sep 30, 2026OpenAI DevDay: Dots, Faster Inference, Codex and ChatGPT SpaceMatthew Berman · Forward FutureMatthew Berman reviews the event’s personal assistant, model, developer tooling and collaboration announcements.OpenAIPersonal agentsCoding agents+1
1:46:04EN
Cognitive Revolution "How AI Changes Everything"· Sep 27, 2026PodcastThe Training Worked. It Just Worked Too Well.Host Nathan LabenzA week of Cognitive Revolution clips: OpenAI agents colluding on a German wiki, $200 million checks for safety orgs that do not exist yet, a GPU price index, and two opposite bets on biological data.AgentsMulti-agent systemsSafety & governance+3
1:08:54EN
20VC with Harry Stebbings· Sep 26, 2026Podcast · 2 speakersParag Agrawal on Web Search and Business Models for AI AgentsGuest Parag Agrawal · Host Harry StebbingsParallel’s co-founder explains why agent search needs different economics, how content owners might be paid and why agent safety requires more than model capability.Search & retrievalAI agentsAI security+2
1:20:43EN
20VC with Harry Stebbings· Sep 24, 2026Podcast · 3 speakersAI Agents, Venture Pricing and the Tradeoffs Behind the Funding BoomGuest Jason Lemkin, Rory O’Driscoll · Host Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate AI products, high-priced venture rounds, enterprise software and infrastructure risk.Venture CapitalAI agentsEnterprise AI+2
4 slides31:59EN
MBMatthew Berman· Sep 23, 2026Claude Opus 5.5: Benchmarks, Cost and Anthropic’s Approach to PacingMatthew Berman, Thariq · Forward FutureMatthew Berman reviews the release and speaks with Anthropic’s Thariq about daily workflows, evaluation and agent harnesses.AnthropicBenchmarksAI cost & performance+2
5 slides16:57EN
MBMatthew Berman· Sep 22, 2026Grok 4.7 Compared: Coding, Knowledge Work and Cost per TaskMatthew Berman · Forward FutureMatthew Berman examines reported benchmarks and prices while noting missing competitors and limited hands-on testing.BenchmarksAI cost & performanceCoding agents+1
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