# The Innovation Cycle of AI - ML 116 Page: https://stenobird.com/podcast/adventures-in-machine-learning/the-innovation-cycle-of-ai-ml-116 Text version: https://stenobird.com/podcast/adventures-in-machine-learning/the-innovation-cycle-of-ai-ml-116.md Podcast: [Adventures in Machine Learning](https://stenobird.com/podcast/adventures-in-machine-learning) Published: 2023-05-25T11:00:00+00:00 Episode link: https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/the-innovation-cycle-of-ai-ml-116 Audio file: https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842160/stream.mp3 Processing state: failed JSON: https://stenobird.com/v1/public/podcasts/adventures-in-machine-learning/episodes/the-innovation-cycle-of-ai-ml-116 Duration seconds: 4179 ## Resource Today we speak with ex-Googler, Praveen Paritosh. He has over 20 years of experience as a research scientist and has worked on some of AI's most impactful projects. Expect to learn about scientific innovation, the importance of data, and the next wave of AI (spoiler, it's not LLMs). Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Socials LinkedIn: Praveen Paritosh Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support . ## Actions - request_transcript: `POST https://stenobird.com/v1/public/podcasts/adventures-in-machine-learning/episodes/the-innovation-cycle-of-ai-ml-116/transcription-requests` — Idempotently request low-priority transcript generation for this episode. - read_markdown: `GET https://stenobird.com/podcast/adventures-in-machine-learning/the-innovation-cycle-of-ai-ml-116.md` — 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.