# Sarah Catanzaro β€” Remembering the Lessons of the Last AI Renaissance Page: https://stenobird.com/podcast/gradient-dissent/sarah-catanzaro-remembering-the-lessons-of-the-last-ai-renaissance Text version: https://stenobird.com/podcast/gradient-dissent/sarah-catanzaro-remembering-the-lessons-of-the-last-ai-renaissance.md Podcast: [Gradient Dissent: Conversations on AI](https://stenobird.com/podcast/gradient-dissent) Published: 2023-02-02T12:00:00+00:00 Episode link: https://wandb.ai/site/resources/podcast Audio file: https://podcasts.captivate.fm/media/e9421d91-e842-4332-be85-c8fe4584282a/GD-81-SarahCatanzaro-MASTER-mp3.mp3 Processing state: failed JSON: https://stenobird.com/v1/public/podcasts/gradient-dissent/episodes/sarah-catanzaro-remembering-the-lessons-of-the-last-ai-renaissance Duration seconds: 4584 ## Resource Sarah Catanzaro is a General Partner at Amplify Partners, and one of the leading investors in AI and ML. Her investments include RunwayML, OctoML, and Gantry. Sarah and Lukas discuss lessons learned from the "AI renaissance" of the mid 2010s and compare the general perception of ML back then to now. Sarah also provides insights from her perspective as an investor, from selling into tech-forward companies vs. traditional enterprises, to the current state of MLOps/developer tools, to large language models and hype bubbles. Show notes (transcript and links): http://wandb.me/gd-sarah-catanzaro --- ⏳ Timestamps: 0:00 Intro 1:10 Lessons learned from previous AI hype cycles 11:46 Maintaining technical knowledge as an investor 19:05 Selling into tech-forward companies vs. traditional enterprises 25:09 Building point solutions vs. end-to-end platforms 36:27 LLMS, new tooling, and commoditization 44:39 Failing fast and how startups can compete with large cloud vendors 52:31 The gap between research and industry, and vice versa 1:00:01 Advice for ML practitioners during hype bubbles 1:03:17 Sarah's thoughts on Rust and bottlenecks in deployment 1:11:23 The importance of aligning technology with people 1:15:58 Outro --- πŸ“ Links πŸ“ "Operationalizing Machine Learning: An Interview Study" (Shankar et al., 2022), an interview study on deploying and maintaining ML production pipelines: https://arxiv.org/abs/2209.09125 --- Connect with Sarah: πŸ“ Sarah on Twitter: https://twitter.com/sarahcat21 πŸ“ Sarah's Amplify Partners profile: https://www.amplifypartners.com/investment-team/sarah-catanzaro --- πŸ’¬ Host: Lukas Biewald πŸ“Ή Producers: Riley Fields, Angelica Pan --- Subscribe and listen to Gradient Dissent today! πŸ‘‰ Apple Podcasts: http://wandb.me/apple-podcasts​​ πŸ‘‰ Google Podcasts: http://wandb… ## Actions - request_transcript: `POST https://stenobird.com/v1/public/podcasts/gradient-dissent/episodes/sarah-catanzaro-remembering-the-lessons-of-the-last-ai-renaissance/transcription-requests` β€” Idempotently request low-priority transcript generation for this episode. - read_markdown: `GET https://stenobird.com/podcast/gradient-dissent/sarah-catanzaro-remembering-the-lessons-of-the-last-ai-renaissance.md` β€” Read the agent-friendly Markdown representation of this episode resource. A page view does not enqueue transcription. Agents should invoke `request_transcript` explicitly when they need this episode processed. ## Transcript Full transcripts are not published on public pages unless there is a clear rights basis.