This week we had a very special guest on the podcast: Matthew Lynley, one of the founding hosts of Equity and a former TechCruncher. Since his Equity days, Lynley went off and started his very own AI-focused publication called Supervised.We brought him back on the show to ask him questions in a format where we can all learn together. Here’s what we got into: From Transformers to GPT4: How attention became so critical inside of neural networks, and how transformers set the path for modern AI services. Recent acquisitions in the AI space, and what it means for the “LLM stack:” With Databricks buying MosaicML and Snowflake already busy with its own checkbook, a lot of folks are working to build out a full-stack LLM data extravaganza. We talked about what that means. Where startups sit in the current AI race: While it’s great to think about the majors, we also need to know what the startup angle is. The answer? It’s a little early to say, but what is clear is that startups are taking some big swings at the industry and are hellbent to snag a piece of the pie. Thanks to everyone for hanging out with us. Equity is back on Friday for our weekly news roundup!For episode transcripts and more, head to Equity’s Simplecast website.Equity drops at 7 a.m. PT every Monday, Wednesday and Friday, so subscribe to us onApple Podcasts, Overcast, Spotify and all the casts. TechCrunch also has a great show on crypto, a show that interviews founders, one that details how our stories come together and more! Credits: Equity is produced by Theresa Loconsolo with editing by Kell. Bryce Durbin is our Illustrator. We'd also like to thank the audience development team and Henry Pickavet, who manages TechCrunch audio products.

Journalist/data practitioner Matthew Lynley discusses the rise of Gen AI in the media, his journey from mathematics to journalism, encountering Chat GPT, challenges of monetizing an AI newsletter, AI content creation, and the convergence of fields in AI development.

Matthew Lynley, AI industry news reporter, chats with the hosts about the complex and fast-moving AI landscape. Topics include emerging startups, questioning the value of the AI ecosystem, different categories in the industry, the use of unstructured data in AI training, and staying calm when facing challenges in AI technologies.