• Quilter with Benchmark's Eric Vishria, Sergiy Nesterenko, and Nathan Labenz

  • Jun 13 2024
  • Length: 57 mins
  • Podcast

Quilter with Benchmark's Eric Vishria, Sergiy Nesterenko, and Nathan Labenz

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  • Today we're diving into Quilter, which just raised a $10M Series A, to get a deeper understanding of venture capital's investments into AI-assisted hard tech problems. Eric Vishria, General Partner at Benchmark, and Sergiy Nesterenko, Founder and CEO of Quilter, join Nathan Labenz to discuss Quilter's groundbreaking use of reinforcement learning to automate integrated circuit board designs. They delve into the importance of thinking beyond 'co-pilots' to fully automated AI solutions, and explore the balance of research and engineering in the AI space. 🔥 Apply to join over 400 founders and Execs in the Turpentine Network: https://hmplogxqz0y.typeform.com/to/JCkphVqj -- RECOMMENDED PODCAST: 🎙️ This Won't Last - Eavesdrop on Keith Rabois, Kevin Ryan, Logan Bartlett, and Zach Weinberg's monthly backchannel. They unpack their hottest takes on the future of tech, business, venture, investing, and politics. Apple Podcasts: https://podcasts.apple.com/us/podcast/id1765665937 Spotify: https://open.spotify.com/show/2HwSNeVLL1MXy0RjFPyOSz YouTube: https://www.youtube.com/@ThisWontLastpodcast -- SPONSOR: BABBEL | BRAVE 🌐 Ready to achieve your 2024 goals? Start learning a new language with Babbel. Enjoy app lessons, live classes, and podcasts designed for real-world conversations. Get up to 60% off at Babbel.com/torenberg 🚀 The tech world turns to the Brave browser for a private ad platform that respects user privacy. Brave Ads offers first-party targeting, and it’s been cookieless since day one. Join the future of advertising at https://brave.com/ads. Mention “Turpentine” when signing up for a 25% discount on your first campaign. -- LINKS: https://www.quilter.ai/ https://benchmark.com/ The Cognitive Revolution podcast: https://www.cognitiverevolution.ai/ -- TIMESTAMPS: (00:30) Introduction (01:07) Eric's Investment Thesis (03:00) The "AI and Done" Approach (06:50) Diverging from Large Language Models (09:15) The "Idea Maze" Framework (11:54) Disruptive Innovation (12:47) Sponsor: Brave | Babbel (15:09) Exploring the Data Landscape (16:18) Data Limitations and Reinforcement Learning (18:00) Overcoming the Sparse Reward Problem (19:10) Human Heuristics and Intermediate Rewards (21:06) Extrapolation vs. Interpolation (24:37) Trusting the Reward Signal in Circuit Board Design (25:46) Physics as an Unambiguous Oracle (27:05) User-Defined Search Depthbility to adjust the search depth and iteration of the system, enabling flexibility based on design complexity and optimization goals. (29:39) Compute Allocation (31:47) Different Physics Simulation Techniques (33:31) The Diffusion Model Approach (36:00) Advantages of Reinforcement Learning (38:00) Timeline and Bottlenecks (39:37) Unsolvable Problems and Gradual Progress (41:58) The Future of Circuit Board Design (43:29) Benchmark Portfolio (45:00) Challenges and Opportunities in Each Category (51:00) The Gap Between Research and Engineering (53:00) Call for Startups (54:06) Wrap
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