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This week was incredible for AI speed breakthroughs! Preparing for 📅 ThursdAI - weekly AI news podcast later today, I combined super fast LLM (<300ms Groq Inc ) + super fast SDXL (thanks to friends at fal) with infinite craft by Neal Agarwal to get near instant visualizations of...

29,540 Aufrufe • vor 2 Jahren •via X (Twitter)

11 Kommentare

Profilbild von Alex Volkov (Thursd/AI)
Alex Volkov (Thursd/AI)vor 2 Jahren

@GroqInc @fal_ai_data @nealagarwal Special thanks to @Teknium1 and @gorkemyurt and of course @nealagarwal for the UI! See you all soon!

Profilbild von Alex Volkov (Thursd/AI)
Alex Volkov (Thursd/AI)vor 2 Jahren

Chatted with Groq folks about this demo here, don't miss this one!

Profilbild von Ithy
Ithyvor 1 Jahr

What happens when you combine every AI? It's time for something better than ChatGPT...

Profilbild von Valentin Reis
Valentin Reisvor 2 Jahren

@thursdai_pod @GroqInc @fal_ai_data @nealagarwal Oh, wow! I work at Groq and have been thinking about applications for a while, so it's hard to phase me with such little demos, but that.. Kinda blew my mind!

Profilbild von Alex Volkov (Thursd/AI)
Alex Volkov (Thursd/AI)vor 2 Jahren

@thursdai_pod @GroqInc @fal_ai_data @nealagarwal whoah what an awesome reply, thanks Valentin! Happy to hear! I have some feedback after playing with this specific demo and qrok, can send over DM

Profilbild von Pietro Schirano
Pietro Schiranovor 2 Jahren

@thursdai_pod @GroqInc @fal_ai_data @nealagarwal This is really cool Alex!

Profilbild von Alex Volkov (Thursd/AI)
Alex Volkov (Thursd/AI)vor 2 Jahren

@thursdai_pod @GroqInc @fal_ai_data @nealagarwal Means a lot coming from you! Thanks Skirano 🫡

Profilbild von fofr
fofrvor 2 Jahren

@thursdai_pod @GroqInc @fal_ai_data @nealagarwal Very cool demo 👌

Profilbild von Alex Volkov (Thursd/AI)
Alex Volkov (Thursd/AI)vor 2 Jahren

@thursdai_pod @GroqInc @fal_ai_data @nealagarwal Thanks 🙏 was fun to hack together

Profilbild von Lincoln 🇿🇦
Lincoln 🇿🇦vor 2 Jahren

@thursdai_pod @GroqInc @fal_ai_data @nealagarwal This is really clever Alex.

Profilbild von Alex Volkov (Thursd/AI)
Alex Volkov (Thursd/AI)vor 2 Jahren

@thursdai_pod @GroqInc @fal_ai_data @nealagarwal Thank you! So fun to play with

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On Friday, I hosted a Space with Jonathan Ross, the founder and CEO of Groq Inc - a company I invested in that is building custom chips for AI inference. Jonathan, a former high-school dropout, entered the chip industry while working on ad optimization at Google’s New York office. Jonathan overheard the speech recognition team complaining that they couldn't get enough compute. These were the early days of AI, and machine learning wasn’t really a thing yet. So he asked for some budget from Google and started putting together a chip-based machine learning accelerator for them. During the day, Jonathan would work in the normal ads part of the business, and at night, he would work with the accelerator team. After winning approval from Google, Jonathan and his team built a new chip called the Tensor Processing Unit, and began deploying it across Google’s data centers within a year. The TPU was a huge success within Google, eventually underpinning more than 50% of all of Google’s compute power. When the other hyper-scalers learned of this success, they tried to hire Jonathan to build custom chips for them too. During this process, it became increasingly clear to Jonathan that a gap would emerge between companies that had access to next-gen compute and companies that didn’t. So he founded Groq and set out to build a chip that would be available to everyone. I led Groq’s founding investment in 2016, and since then, Jonathan and his team have developed several types of AI hardware including the Language Processing Unit (LPU), a new type of silicon that is hyper-efficient at running inference for LLMs. In our conversation on Friday, we discussed the founding story of Groq, what you need for great AI hardware, large language models, and some of the implications for the key players in AI. It’s one of the most interesting conversations I’ve had on AI with a lot of learnings. You can listen to our conversation below:

Chamath Palihapitiya

326,752 Aufrufe • vor 2 Jahren