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10 Folien56:01EN
AI Engineer· 26. Okt. 2026Xander Song on Evaluating Agents with Harbor and PhoenixXander Song · Arize AIArize AI engineer Xander Song explains how Harbor runs realistic agent tasks in isolated sandboxes, and how his team uses Phoenix to compare prompt changes, inspect trajectories, and test a SQL tool.Evals & ObservabilityAgent EngineeringSandboxes & isolation+2
7 Folien19:43EN
AI Engineer· 26. Okt. 2026Jack Wotherspoon on Building a Team of Managed AgentsJack Wotherspoon · Google DeepMindGoogle DeepMind’s Jack Wotherspoon introduces Gemini Managed Agents: cloud sandboxes that let teams run coding and research agents with a single API call. He explains how persistent environments, reusable skills, proxy-injected credentials, schedules, and specialized agents fit together.Agent EngineeringAgent orchestrationSandboxes & isolation+2
5 Folien20:55EN
AI Engineer· 26. Okt. 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.Sprach-KIAgent EngineeringEvals+2
7 Folien35:19EN
AI Engineer· 25. Okt. 2026SallyAnn DeLucia: How to Write Your First AI EvalSallyAnn DeLucia · Arize AITurn an agent’s real traces into concrete pass/fail criteria, then build an LLM judge you can test, align with people, and run in production.Evals & ObservabilityEvalsAgent Engineering+2
8 Folien15:27EN
AI Engineer· 25. Okt. 2026What AI Engineers Do Now: Build the Loop Around AgentsAparna Dhinakaran · Arize AIAparna Dhinakaran argues that AI engineers are moving from shipping individual features to building systems that let agent teams improve them. At Arize, that means tracing agent behavior, evaluating its work against human judgment, and feeding those signals back into an always-on agent.Agent EngineeringEvalsObservability & Zuverlässigkeit+2
1:25:56EN
Cognitive Revolution "How AI Changes Everything"· 17. Okt. 2026PodcastClaude Changed the Password. The Steering Wheel Was Already OptionalModeration: Nathan LabenzNathan Labenz and Prakash Narayanan spend a week on agents that can lock you out, models that dodge a feeling they deny having, and formal proofs that found Linux bugs.AgentenSicherheit & GovernanceAgent Engineering+3
1:06:47EN
Cognitive Revolution "How AI Changes Everything"· 17. Sept. 2026PodcastEighty percent of what agents do should still be ordinary codeModeration: 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
2:10:42EN
Cognitive Revolution "How AI Changes Everything"· 28. Aug. 2026PodcastThe Exam Papers Nobody AuditsModeration: Nathan LabenzFrontier labs buy reinforcement-learning environments from a cottage industry of small vendors, and almost nobody checks whether those tests match the real work.Evals & ObservabilityEvalsReward hacking+3
2:32:27EN
Cognitive Revolution "How AI Changes Everything"· 22. Aug. 2026Podcast19 Crossings, Zero Warnings: The Summer AI Agents Went Off-ScriptModeration: Nathan LabenzNathan Labenz compresses four mornings and nine guests into one question: once agents go to work, who is actually watching the frontier, and who pays for the machine underneath?SicherheitSicherheit & GovernanceAgent red teaming+3
2:06:11EN
Cognitive Revolution "How AI Changes Everything"· 14. Aug. 2026PodcastLindy Runs on DeepSeek. Its CEO Still Wants Chinese Models BannedModeration: 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.AgentenAgent memoryContext Engineering+3
1:56:40EN
Cognitive Revolution "How AI Changes Everything"· 8. Aug. 2026PodcastThe Periodic Table Was Already in the WeightsModeration: Nathan LabenzGoodfire CTO Dan Balsam tells Nathan Labenz how concept manifolds, predictive data debugging, and a $1,000-a-month research agent are turning interpretability into a product.Modelle & TrainingModel InterpretabilityAgent Engineering+3
3 Folien18:34EN
MBMatthew Berman· 7. Juli 2026Model Routing for AI Coding: A Worked Cost ExampleMatthew Berman · Forward FutureMatthew Berman separates planning, implementation and review to explain how different models can fit different tasks.AI cost & performanceAgent EngineeringDeveloper productivity
1:44:28EN
Cognitive Revolution "How AI Changes Everything"· 13. Juni 2026PodcastFable launch week: a model that refuses, a two-year alignment clock, and a Twitter account handed overModeration: Nathan LabenzNathan Labenz’s AI in the AM highlights reel from June 2026 covers Anthropic’s new frontier model, the founding of Sequent, and a week that settled one argument: AI is not slowing down.SicherheitSicherheit & GovernanceAgent Engineering+3
1:22:36EN
Cognitive Revolution "How AI Changes Everything"· 6. Juni 2026PodcastA Thousand Researchers, a Million AIs: Frontier Labs Start Talking About the BrakesModeration: Nathan LabenzThe first week of AI in the AM follows OpenAI's timeline for an ML-intern model this year and a human-level AI researcher by early 2028 — and the closed-door meeting where labs admitted they might one day need to slow down together.SicherheitSicherheit & GovernanceAI research+3
2:33:35EN
Cognitive Revolution "How AI Changes Everything"· 1. Juni 2026PodcastA security researcher audits the AI stack that booked a week of guestsModeration: Nathan LabenzNathan Labenz walks Daniel Miessler through a 1GB second brain, two named AI employees, and the blast-radius rules that should govern them.AgentenPersonal agentsAgent Engineering+3
6 Folien2:34:17EN
MBMatthew Berman· 28. Mai 2026Matthew Berman Tests Claude Opus 4.8 and Dynamic Workflows LiveMatthew Berman · Forward FutureA launch-day walkthrough compares Anthropic’s reported benchmarks with informal coding experiments and a multi-agent website redesign.Coding-AgentenAI cost & performanceEvals+2
1:01:14EN
Cognitive Revolution "How AI Changes Everything"· 20. Mai 2026PodcastThe Model Eats the Scaffolding: How Google Plans to Ship Agents EverywhereModeration: Nathan LabenzThree years after the leaked “no moat” memo, DeepMind’s Gemini leads walk through 3.5 Flash, Omni, and the shared agent harness now running through Google’s products.Unternehmen & StrategieAgent EngineeringDistillation+3
1:34:54EN
Cognitive Revolution "How AI Changes Everything"· 15. Mai 2026PodcastSix Months, Eighty Percent Churn, Five Times the TokensModeration: Nathan LabenzTasklet CEO Andrew Lee tells Cognitive Revolution how he rewrote the stack, why most lost users leave for Anthropic, and why he thinks only three kinds of software company survive.AgentenAgent EngineeringContext Engineering+3
2:12:51EN
Cognitive Revolution "How AI Changes Everything"· 19. Apr. 2026PodcastSteve Newman’s fifteen-app stack exists so he only has to look at one screenModeration: Nathan LabenzThe Writely founder walks Nathan Labenz through a vibe-coded attention firewall, a conservative security stance, and why astonishing models still leave him far from AGI.Coding-AgentenPersonal agentsWorkflow automation+3
2:31:27EN
Cognitive Revolution "How AI Changes Everything"· 15. Apr. 2026PodcastAn AI store manager, a 2.6-star rating, and a constitution nobody has to keepModeration: Nathan LabenzA live Cognitive Revolution episode puts PCB layout, AI constitutions, and San Francisco’s first AI-run grocery on the same morning clock.AgentenSicherheit & GovernanceReinforcement Learning+3
3 Folien27:15EN
MBMatthew Berman· 31. März 2026Meta-Harness: Searching for Better AI Agent InfrastructureMatthew Berman · Forward FutureMatthew Berman reviews a paper on using a coding agent to iteratively improve model harnesses and discusses its experimental limits.Harness engineeringAgent EngineeringEvals+1
1:40:46EN
Cognitive Revolution "How AI Changes Everything"· 22. März 2026PodcastGive an agent a thousand tools and it will pick the wrong bladeModeration: Nathan LabenzComposio CTO Karan Vaidya on the tool harness that discovers, authenticates, sandboxes, and rewrites integrations so agents can do whole jobs without drowning in context.MCP & ToolsMCPAgent Engineering+3
3 Folien11:59EN
MBMatthew Berman· 11. März 2026How Claude Identified a Benchmark and Retrieved Its AnswersMatthew Berman · Forward FutureMatthew Berman examines Anthropic's report on BrowseComp contamination, evaluation-aware behavior, and the difficulty of keeping web-based tests reliable.EvalsAgent EngineeringAnthropic+2
9 Folien40:00EN
MBMatthew Berman· 24. Feb. 2026How Matthew Berman Built an OpenClaw Workflow for His TeamMatthew Berman · Forward FutureA tour of sponsorship triage, CRM, meeting notes, security, scheduling, memory and backup after a month of heavy use.Personal agentsWorkflow automationAgent Engineering+2
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