Videos
50 shown of ~305, more available.
| Frame | Title | Published | Duration | State | Coverage | Tags | Indexed |
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AI’s Jurassic Park Period — Aaron Stanley, dbt Labs | 0:21:41 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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In the Land of AI Agents, the Verifiers Are King — Tariq Shaukat, Sonar | 0:18:53 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Why Your Agent Disagrees With Itself (And What To Do About It) - Diane Lin, Datadog | 0:25:38 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Don't Let the LLM Drive - Ornella Bahidika & Joel Allou, Microsoft | 0:06:07 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Your Voice Agent Doesn't Need a Frontier Model - Joel Allou & Ornella Bahidika, Microsoft | 0:05:44 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
| no frame | Enterprise Agents Have a Structure Problem - Ishita Daga, Tesla | 0:12:07 | pending | transcript: missing on-screen text: missing frame embeddings: missing | — | ||
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When Agents Meet Physical Data: The Other Physics of Agent Harnesses - Dmitry Petrov, DataChain | 0:27:32 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Build the AI GTM Agent That Knows the Buyer - Dr. Sajjan Kanukolanu, Position2 (Position Squared) | 0:26:26 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Agents Need Receipts, Not More Tool Calls - Armanas Povilionis, Alithea Bio | 0:10:22 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Agent Output Is Not UX: Rendering Layer Your LLM Pipeline Is Missing - Bala Ramdoss, Amazon Lens | 0:14:12 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Voice Agents That Handle Interrupts - Chintan Agrawal and Daniel Wirjo, AWS | 0:32:56 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Skills are the New SDKs - Elvin Aghammadzada, DataRobot | 0:26:39 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Medic for Apache Spark - First Aid for Failing Jobs - Drasko Profirovic, Pinterest | 0:11:20 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Can Oncology Workflows Run Without Human Touch? - Anant Shankhdhar, Risa Labs | 0:16:41 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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From Tokens to Cells: Foundation Models for Single-Cell Biology - Akram Baharlouei, Altos Labs | 0:16:57 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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You Didn't Ship a Bug. You Just Wrote It for a Human. - Ravi Madabhushi, Scalekit | 0:12:50 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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From Blind Spots to Merged PRs: Continuous Agentic Performance Optimization - May Walter, Hud | 0:22:45 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Build Evals That Actually Matter - Nick Ung & Akshay Sharma, Lyft | 0:37:44 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Autonomous Agents for Scientific Tasks - Sina Shahandeh, Radicait | 0:19:22 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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A Practitioner's Guide to Graphs - Tim Ainge, Good Collective | 0:14:17 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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The UX of AI: Making AI-Powered Apps Your Users Don't Hate - Kathryn Grayson Nanz, Progress Software | 0:35:58 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Stop Burning Tokens: Why self-improvement needs domain expertise first - Annabell Schäfer, Langfuse | 0:17:39 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Stop Renting Your Cognitive Infrastructure - Thiyagarajan Maruthavanan, Kalmantic Labs | 0:07:51 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Content Is Code - Matt Palmer, Conductor | 0:10:53 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Agents Need Receipts, Not More Tool Calls - Armanas Povilionis, Alithea Bio | 0:19:36 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Your Agents Need a Save Button - Hamza Tahir, ZenML | 0:17:07 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Agents Need Feature Flags - Sachin Gupta | 0:19:16 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Using LLMs to Secure Source Code — Eugene Yan, Anthropic | 0:21:30 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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On AI and Knowledge — Pablo Castro, Distinguished Engineer & CVP for AI Knowledge, Microsoft | 0:17:35 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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"Software engineering is not about writing code" — Benoit Schillings, Google DeepMind VP of Research | 0:20:26 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Every company should have a Brain — Garry Tan, Y Combinator | 0:21:08 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Imagination Engineering: "Live in the future and then build what's missing." | 0:16:04 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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How Autoresearch is changing ML research — Zhengyao Jiang, Weco | 0:16:16 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Computer-Use 2.0: Agents Just Got Multi-Cursor — Francesco Bonacci, Cua | 0:16:41 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Recursive Model Improvement — Lee Robinson, Cursor, SpaceXAI | 0:20:32 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Claude Fable, Claude Tag, and Anthropic's Culture — Cat Wu & Thariq Shihipar ft Simon Willison | 0:51:30 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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WTF Is the Context Layer? The Missing Infrastructure for Production Agents — Prukalpa Sankar | 0:20:53 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Don't Ship Skills Without Evals — Philipp Schmid, Google DeepMind | 0:21:45 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Forward Deployed Engineering at Cursor — Pauline Brunet | 0:20:47 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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"The engineer of the future is the person who is able to choose what is worth doing." — Addy Osmani | 0:18:26 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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"I've never seen anything scarier than an LLM with tool calls." — Erik Meijer aka @HeadinTheBox | 0:21:13 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Stop Evaluating Models Like It's the 50s - Alejandro Vidal, Mindmakers | 0:23:34 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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From fork() to Fleet: Designing an Agent Sandbox Cloud — Abhishek Bhardwaj, OpenAI | 0:44:33 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Modern Post-Training: A Deep Dive — Will Brown, Prime Intellect | 0:46:52 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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RLM: Recursive Language Models for Large Codebases - Shashi, Superagentic AI | 0:17:27 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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The AI bugpocalypse is here. Now what? - Jack Cable, Corridor | 0:19:43 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Semantic Blindness: 500,000 Sensors Confused an LLM - Raahul Singh & Vanč Levstik, Phaidra | 0:16:24 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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The Agentic Web and the Bazaar Era of AI - Ramesh Raskar, MIT Media Lab | 0:12:10 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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A Song of Types and Agents - Roberto Stagi, Ratel | 0:14:16 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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ReviewDebt: a practical framework for scoring every pull request — Sachin Gupta, Ebay | 0:25:00 | ready | transcript: present on-screen text: present frame embeddings: present | — |