Sleep Time Compute - AI That "Thinks" 24/7 (Breakthrough)

👉 Access all top AIs for $10 on https://mammouth.ai/ Join My Newsletter for Regular AI Updates 👇🏼 https://forwardfuture.ai My Links 🔗 👉🏻 Subscribe: https://www.youtube.com/@matthew_berman 👉🏻 Twitter: https://twitter.com/matthewberman 👉🏻 Discord: https://discord.gg/xxysSXBxFW 👉🏻 Patreon: https://patreon.com/MatthewBerman 👉🏻 Instagram: https://www.instagram.com/matthewberman_ai 👉🏻 Threads: https://www.threads.net/@matthewberman_ai 👉🏻 LinkedIn: https://www.linkedin.com/company/forward-future-ai Media/Sponsorship Inquiries ✅ https://bit.ly/44TC45V 0:00 Intro: AI That Thinks BEFORE You Ask? 0:13 Introducing Sleep-Time Compute 0:59 The Problem with Standard Test-Time Compute (Cost & Latency) 2:58 Stateful LLM Applications (Code, Docs, Chat) 3:33 Sleep Time vs. Test Time (Diagram Explained) 4:51 Why Sleep-Time is More Cost-Effective 6:00 Defining Sleep-Time Compute 6:26 Sponsor: Mammoth (Generative AI Platform) 7:18 Paper Details: How They Tested Non-Reasoning Models 9:24 Benchmarking Sleep-Time (The Juggle Example) 10:05 Models Used (GPT-4o, Claude, DeepSeek, etc.) 10:25 Results: Non-Reasoning Models (Graphs) 12:18 Results: Reasoning Models (Graphs) 13:39 Sleep Time vs. Parallel Sampling (A Big Issue) 14:41 Scaling Sleep-Time Compute 15:45 Amortizing Cost Across Queries (Why it's Cheaper!) 16:48 Predictable Queries Benefit Most 18:04 Paper Summary & Future Directions 18:40 Outro & Newsletter