Kenn So

Data Moats in Generative AI, by @kenndanielso "The deep learning wave of the early 2010s led to a surge of data-hungry products. These products needed so much data that gathering it requires significant investment. So, the business community started honing the idea of data as a strategic asset and a business moat. As the Economist put it in a 2017 issue, “The world’s most valuable resource is no longer oil, but data.” This essay discusses data moats in today’s context of generative AI, which is driven by models that are exponentially more data-hungry. But first, what is a data moat? what is even an “AI product”?" generational.pub/p/data-moats-i…

Building on my post from earlier in the evening, here's a great read about data moats in #GenAI by @kenndanielso generational.pub/p/data-moats-i…

@charles_irl Congrats Charles!

My new job is to get everyone else to see what I see in Modal: the future of data-driven computing powered by open generative models trained at the scale of the web and adapted to end-user needs by code, customization, and continual improvement. LFG. modal.com

I got a new job at @modal_labs! In my first week here, the team has added H100s, shipped an integration with @vercel, and merged >200 PRs. Incredible combination of velocity, product, & tech. I want to tell the story of my journey from early adopter to happy user to employee.

An awesome breakdown of Scale AI, by @kenndanielso generational.pub/p/scale-ai?r=1…

Really appreciate @kenndanielso's thoughtful piece on @BabyAGI_, specifically capturing my build-style so well :) Give it a read for an overview on the project! generational.pub/p/babyagi

Really enjoyed talking to @kenndanielso about LlamaIndex! The space of managing data retrieval + LLM reasoning is super interesting and it's really well articulated here. The article is fantastic, check it out: generational.pub/p/llamaindex