Videos
50 shown of ~305, more available.
| Frame | Title | Published | Duration | State | Coverage | Tags | Indexed |
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How Forward Deployed Engineering is done at Decagon — Sunny Rekhi | 0:18:08 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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How Forward Deployed Engineering is done at Kepler — Vinoo Ganesh | 0:22:20 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Forward Deployed Engineering 101 — Kevin Bai, Anthropic, ex Palantir & Rippling Founding FDE | 0:17:48 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Serving 2 Million Models Without Melting: Scaling the Hugging Face Hub — Arek Borucki, Hugging Face | 0:21:39 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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AI Agents for Performance: Ship Faster, Pay Less — Rajat Shah, Netflix | 0:33:38 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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DeepSWE: A Contamination-Resistant Coding Benchmark — James Shi, Datacurve | 0:17:34 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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State of Data — Sean Cai, Independent / State of Data | 0:18:22 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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The Messy Reality of Scale: Synthetic Data and Pre-Training — Marah Abdin & Robert McHardy, poolside | 0:17:31 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Evals-Driven Development for a Mental Health AI Coach — Akele Reed & Dave Revere, SonderMind | 0:21:17 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Loop Engineering from First Principles — Kyle Mistele, HumanLayer | 0:17:57 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Why Large? Tiny LMs & Agents on Edge/Robotics — Cormac Brick, Google | 0:21:44 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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From Agent Traces to Agent Simulations — Rustem Feyzkhanov, Snorkel AI | 0:20:23 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Evaling Video Slop — Maor Bril, Character.ai | 0:23:13 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Building Closed-Loop Evals for a Multimodal Agent at Scale — Soumya Gupta & Jai Chopra, Uber | 0:21:38 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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How Evals and Prompts Shape Agent Behavior — Preetika Bhateja & Daniel Bump, YouTube Ads | 0:19:29 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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From Signal to PR: Anatomy of a Self-Improving Agent — Jason Lopatecki, Arize | 0:20:35 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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The Future of Evals: From LLM as a Judge to Agent as a Judge — Aparna Dhinakaran, Arize AI | 0:06:06 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Everything Is a Rollout — Alex Shaw + Ryan Marten, Terminal-Bench, Harbor, Laude Institute | 0:21:11 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Vending-Bench: Long-Horizon Agent Evals — Lukas Petersson, Andon Labs | 0:18:05 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Training Frontier Models to Out-Think Hackers — Uri Rolls, Arithmetic & Thom Wolf, Hugging Face | 0:17:27 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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The Unreasonable Effectiveness of Separating the Task from the Model — Maxime Rivest & Isaac Miller | 0:17:11 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Notion's Token Town — Sarah Sachs, Notion | 0:23:55 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Harness Engineering is not Enough: Why Software Factories Fail — Dex Horthy, HumanLayer | 0:19:17 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Perception Agents — Antje Barth, Amazon AGI Lab | 0:21:44 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Why We Killed Our Multi-Agent Pipeline — Subbiah Sethuraman and Abhilash Asokan, ZS Associates | 0:15:00 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Citation Needed: Provenance for LLM-Built Knowledge Graphs — Daniel Chalef, Zep AI | 0:20:54 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Local Agentic Theory For Mobile Games — Shafik Quoraishee & Joanne Song, The New York Times | 0:18:04 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Video Has No Memory. Here's How We Built One. — James Le, TwelveLabs | 0:20:27 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Why Agentic Systems Need Ontologies — Frank Coyle, UC Berkeley | 0:21:18 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Learned Execution Graphs for Anomaly Detection & Drift in APIs — Ritvik Pandya, JP Morgan Chase | 0:19:38 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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From Systems of Record to Systems of Context — Omri Bruchim & Tomer Ast, monday.com | 0:15:57 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Your Moat Is Your Data Model — Mike Phipps, Gates Foundation | 0:20:29 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Active Graph Agent Runtime (BabyAGI 4) — Yohei Nakajima, Untapped Capital | 0:17:34 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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CrabRAG: Why Automated Assistants Need Graph Memory, Not More Tokens — Stephen Chin, Neo4j | 0:20:42 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Thinner Agents on a Smarter Substrate: The Ontology-based Semantic Layer — Emil Eifrem, Neo4j | 0:11:06 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Claude for Long-Horizon Tasks — Lance Martin, Anthropic | 0:25:18 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Full Workshop: Better Auth — Paola Estefania, Better Auth | 0:40:55 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Every Harness Will Become A Claw — Sam Bhagwat, Mastra | 0:15:35 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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HTML Is All Agents Need — James Russo, HeyGen | 0:15:13 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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"The biggest challenge in your stack? Evals, Evals, Evals" - 2026 State of AI Engineering results | 0:19:47 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Your agent architecture has a half-life of 6 months — Dan Farrelly, CTO, Inngest | 0:19:20 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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The Desktop Frontier — Ahmad Osman, Osmantic | 0:18:01 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Through the AI Fog: The Architectural Decision Agentic Security Depends On — Manoj Nair, Snyk | 0:23:29 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Agentic Development Security — Ezra Tanzer, Snyk | 0:27:33 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Your LLM Stack Is a 2008 Database With Better Marketing — Lovina Dmello, NVIDIA | 0:20:36 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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We Gave an Agent Production Code Access and Then Tried to Sleep at Night — Moritz Johner, Form3 | 0:21:56 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Agentic Security: Permissions, Provenance, and the Agent Supply Chain — Steve Yegge, Gas Town | 0:22:32 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Privacy-Preserving Intelligence — Steve Korshakov, Bee (acq. Amazon) | 0:15:53 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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It's 10pm. Do You Know Where Your Agents Are? — Kim Maida, Keycard | 0:23:02 | ready | transcript: present on-screen text: present frame embeddings: present | — | ||
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Security Track Intro — Randall Degges, Snyk | 0:04:16 | ready | transcript: present on-screen text: present frame embeddings: present | — |