Multi-modal LLMs and the Future of AI

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This chapter explores the concept of multi-modal LLMs, which aim to create a single platform and model capable of processing different types of inputs. The speakers discuss the challenges and potential of image-to-music generation and share their experiences with working in generative spaces. They also delve into the advantages of using Discord as a community platform and express their desire for a multimodal AI that can generate ideas and recommendations based on images.

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Today’s show:

Sunny Madra joins Jason to discuss Sunny’s All-In Summit experience (1:34), OpenAI’s race to beat Google in launching the first multimodal LLM (9:07), whether generative AI needs a UI shift (33:00), and much more!

Time stamps:

(0:00) Sunny Madra joins Jason

(1:34) All-In Summit 2023 recap and Sunny’s experience

(7:44) Squarespace - Use offer code TWIST to save 10% off your first purchase of a website or domain at https://Squarespace.com/TWIST

(9:07) OpenAI’s race to beat Google in launching the first multimodal LLM

(14:42) Experiences with image-generating AI and Midjourney's interface

(19:23) The culture at Apple and where risk aversion sets them back

(22:32) OpenPhone - Get 20% off your first six months at https://openphone.com/twist

(24:03) Google’s advantages and chances against OpenAI in multimodal LLMs

(31:30) Fitbod - Get 25% off at https://fitbod.me/twist

(33:00) UI developments and what sets multimodal LLMs apart

(44:22) ChatGPT Enterprise