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6 slides23:22EN
AI 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.AI platform engineeringEvalsAI cost & performance+2
5 slides36:07EN
Theo - 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.AI cost & performanceCoding agentsInference+1
6 slides16:38EN
AI 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.Agent engineeringAI securityPrompt injection+2
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
6 slides25:50EN
Matthew 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
Matthew 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
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
5 slides10:36EN
Matthew 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
1:28:08EN
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
Matthew 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
5 slides16:57EN
Matthew 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
5 slides12:31EN
Matthew Berman· Sep 18, 2026Jev's Fast Decisions: Demos, Tradeoffs and Reliability ClaimsMatthew Berman · Forward FutureMatthew Berman explores a decision-oriented AI model through routing, simulated worlds, chess and game-control examples.AI agentsAI cost & performanceEvals & observability+1
1:06:47EN
Cognitive Revolution "How AI Changes Everything"· Sep 17, 2026PodcastEighty percent of what agents do should still be ordinary codeHost Nathan LabenzZapier CEO Wade Foster tells Nathan Labenz that models top out at 40% on real automation tasks, users will not leave their daily driver, and the winning move is headless tools delivered through MCP.MCP & toolsMCPWorkflow automation+3
5 slides16:50EN
Matthew Berman· Sep 3, 2026Gemini 3.8 Flash: Benchmarks, Cost and Hands-On Coding TestsMatthew Berman · Forward FutureMatthew Berman compares Google's September 2026 model announcement with several practical visual and web-building examples.GeminiBenchmarksAI cost & performance+2
5 slides20:46EN
Matthew Berman· Aug 26, 2026Open-Weight AI Models: Token Share, Spending and Strategic TradeoffsMatthew Berman · Forward FutureMatthew Berman examines a Vercel AI Gateway snapshot and argues that model usage and spending can tell very different stories.Open-weight modelsAI cost & performanceAI Strategy+2
2:06:11EN
Cognitive Revolution "How AI Changes Everything"· Aug 14, 2026PodcastLindy Runs on DeepSeek. Its CEO Still Wants Chinese Models BannedHost Nathan LabenzFlo Crivello tells Nathan Labenz how Lindy Teammate lives in Slack, reaches two billion tokens of memory in two model calls, and why he would still outlaw the cheap Chinese models that currently power the product.AgentsAgent memoryContext engineering+3
5 slides15:37EN
Matthew Berman· Aug 4, 2026Matthew Berman on Qwen3.8-Max, AI Costs and Open-Weight CompetitionMatthew Berman · Forward FutureA 2026 review of reported benchmark results and research demonstrations leads to questions about deployment economics and geopolitical dependence.Open-weight modelsBenchmarksAI cost & performance+2
5 slides52:29EN
Matthew Berman· Jul 24, 2026Claude Opus 5: Benchmarks, Cost per Task, and Early ImpressionsMatthew Berman · Forward FutureMatthew Berman reacts to the model launch, examines reported benchmark and pricing data, and explains why the cost of completing a task matters more than token price alone.AnthropicBenchmarksAI cost & performance+2
4 slides27:13EN
Matthew Berman· Jul 21, 2026Kimi K3 and the Debate Over Open-Weight AIMatthew Berman · Forward FutureMatthew Berman examines model economics, competition and security arguments after Moonshot AI’s Kimi K3 announcement.Open-weight modelsAI cost & performanceAI Regulation+2
1:52EN
Matthew Berman· Jul 19, 2026Anthropic, Compute Capacity and the Competition for AI SubscribersMatthew Berman · Forward FutureMatthew Berman weighs a claimed compute constraint against model quality, subscription limits and the possibility of future self-improvement.AI cost & performanceInfrastructure & deploymentAI Strategy+1
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