Videos
50 shown of ~305, more available.
| Frame | Title | Published | Duration | State | Coverage | Tags | Indexed |
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remobi.app: Don't change your terminal workflow for mobile | 0:09:20 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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What Does Done Even Mean? Agents and Paperclip's Liveness Model - Dotta, Paperclip | 0:07:13 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Claws Out: Securing and Building with OpenClaw - Nick Taylor, Pomerium | 0:17:11 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Stop AI Agent Hallucinations: 5 Techniques + Production Patterns - Elizabeth Fuentes, AWS | 0:55:19 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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The Factory That Dreams: 39 AI Agents, No Framework - Rushabh Doshi, Machinecraft | 0:09:58 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Chat and citations won't save your vertical AI - Atul Ramachandran, Filed Inc | 0:15:12 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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State of the Union: Why Local, Why Now — NVIDIA, Osmantic, Roboflow, EXO Labs, @matthew_berman | 0:44:29 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Every Solo Agent Builder Eventually Reinvents a Worse Version of CI/CD - Sumaiya Shrabony | 0:10:51 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Develop at Idea Velocity - Jeffrey Lee-Chan, Snapchat | 0:15:28 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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From Writing Code to Designing Systems: How the Developer Role is Changing — Chris Noring, Microsoft | 0:23:05 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Design Patterns for AI Trust: Juries, Libraries, and Agent Tiers — Alex Bauer, Upside.tech | 0:17:08 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Understanding is the new bottleneck — Geoffrey Litt, Notion | 0:19:33 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Should AI Engineers Still Read Code in 2026? The Z/L Continuum — Alex Volkov, ThursdAI | 0:21:34 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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The Golden Age of AI Engineering — Alexander Embiricos & Romain Huet & Peter Steinberger, OpenAI | 0:25:13 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Everything we knew about software has changed — Theo Browne, @t3dotgg | 0:16:01 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Think You Can Build a Game with AI? Think Again! - Danielle An & David Hoe, Meta | 0:18:00 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Your agent is blindfolded — Johan Lajili, Poolside AI | 0:09:57 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Building an ACP-Compatible Agent Live — Bennet Fenner, Zed | 0:18:19 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Teaching Coding Agents to do Spreadsheets - Nuno Campos, Witan Labs | 0:19:08 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Your coding agent doesn't always follow your rules — Talha Sheikh, Checkout.com | 0:10:07 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Running a Chess YouTube Channel entirely by AI — Stephan Steinfurt, TNG | 0:16:31 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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I Run a Fleet of AI Agents Across Three Machines. Here's What Broke. - Kyle Jaejun Lee, KRAFTON | 0:09:11 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Your LLM Deception Monitor Is Broken. The Fix Is in the Training Data - Sachin Kumar, LexisNexis | 0:13:57 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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GTM Is You - Victoria Melnikova, Evil Martians | 0:12:35 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Beyond the Harness: A Journey Towards Adaptative Engineering - Rajiv Chandegra, Annicha Labs | 0:37:01 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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How we taught agents to use good retrieval - Hanna Lichtenberg, Mixedbread AI | 0:14:28 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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What if the harness mattered more than the model? - Aditya Bhargava, Etsy | 0:32:03 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Build AI Systems for Discernment, Not Approval - Angel Ortmann Lee, Duolingo | 0:25:53 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Respect The Process - Andrew Dumit, Watershed Technology Inc. | 0:16:43 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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The Pipeline Is Dead - Iris ten Teije, Sky Valley Ambient Computing | 0:19:49 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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500 people vibe-coded for 30 days. I was one of them. - Sanja Grbic, Automattic | 0:17:48 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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SWE-Marathon: Evaluating Coding Agents at Billion-Token Scale - Rishi Desai, Abundant AI | 0:12:57 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Field Guide to Fable — Thariq Shihipar, Anthropic | 0:19:28 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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The Missing Layer After Launch - Raphael Kalandadze, Wandero AI | 0:19:33 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Continual Learning for AI Agents: From Failures to Durable Improvements - Soheil Feizi, RELAI | 0:22:35 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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MCP Apps: Primitives, discovery, and the Future of Software - Pietro Zullo, Manufact, Inc | 0:28:54 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Your AI Product Will Fail Unless You Can Explain It - Veronica Hylak, Hey AI | 0:06:01 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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The Prompt Is Still a Punch Card - Ted Johnson, JoinIn AI | 0:20:13 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Building Great Agent Skills: The Missing Manual | 0:20:43 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Frontier results, on device - RL Nabors, Arize | 0:30:51 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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The Future Is Domain-Specific Agents - Justin Schroeder, StandardAgents | 0:30:38 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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You Can't Prompt the Room: The Last Skill AI Won't Replace - Balázs Horváth, VisualLabs | 0:15:45 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Deterministic Infra for Non-Deterministic AI Agents - Nishant Gupta, Meta Superintelligence Labs | 0:07:13 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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The Agentic AI Engineer - Benedikt Sanftl, Mutagent | 0:34:49 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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The Prompt is the Platform - Dominik Tornow, Resonate HQ | 0:17:33 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Using RL Agent to Detect and Remediate ETL Pipeline Failures - Anna Marie Benzon | 0:14:40 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Your Agent Failed in Prod. Good Luck Reproducing It. - Tisha Chawla & Susheem Koul, Microsoft | 0:14:09 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Voice In, Visuals Out: The Agony and the Ecstasy - Allen Pike, Forestwalk Labs | 0:13:05 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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AI-Driven Multi-Document Correlation for Financial Compliance - Varsha Shah, Independent | 0:19:00 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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We Cut 94% of AI Coding Tokens With a Local Code Index - Rajkumar Sakthivel, Tesco | 0:10:42 | ready | transcript: present on-screen text: present frame embeddings: present | — |