AI Mondays - Apple Vision Pro

🎙️Show Link: https://x.com/RayFernando1337/status/1752186812876165156?s=20

Who are we?

Ray intro worked at Apple for 12+ years and went from working at the Genius Bar to being in the studio with Jony Ives and being in the office with Tim Cook before presenting the Apple Watch.

Ray Fernando (@RayFernando1337) on X

Apple Engineer for 12 yrs, now at the helm of https://t.co/FvK83sCGkh. I'm learning AI in public and building apps.

https://twitter.com/RayFernando1337

Ronald Mannak

Ronald Mannak (@ronaldmannak) on X

Creator of @picoGPT. Available for iPhone, iPad, Mac and HomePod.

https://twitter.com/ronaldmannak

Rapid Fire

Ray to introduce what this is and what we are doing.

AI headlines that caught our eye. Early trends. Prototypes. Breaking News.

Prompt to UI: https://x.com/galileo_ai/status/1754907661592887559?s=46&t=CSJUc-EX4J03ow_Gi8B9Lw

https://x.com/sdw/status/1755108968953954775?s=46&t=CSJUc-EX4J03ow_Gi8B9Lw

OpenAI API becomes standard: https://x.com/_philschmid/status/1755592500511997980?s=61&t=y4YUDk5rvOPclJr92oH33A

Trend for the week - Apple Vision Pro UI/UX Skate to where the puck is going

Skate to where the puck is going

UI/UX - too much info in app

Eye Fatigue

Re-thinking web UI

UI refinements with your eye

Special Guest Nisten

LAION - newer dataset, baklava model. Fully open source

Eric Topol - TED talk healthcare 30 min call - take images of retina

ChatGPT - divided into 32 layers - each part digests it a little bit then out comes one token

Models like Mistral 70 and 80 layers - LLM

Image Models - Clip encoder - OpenAI published in 2021 - output embeddings (raw tokens). Not exactly words. Built their own based on the lava method, took clip encoder based on mistral then created a new later, trained it for 80 hours on 8 A100’s. The image brain and the language brain started to understand each other.

Take an encoder that outputs embeddings, raw tokens

This thing said such and such