sason

There is a fairly new ASIC named "Sohu" that is purpose-built for transformers. They have some bold claims that are impressive if true.

I found a short discussion[2] you may find useful.

[1]: https://www.etched.com/

[2]: https://www.lesswrong.com/posts/qhpB9NjcCHjdNDsMG/new-fast-t...

Allowing users to register to your app using another service (e.g. Facebook, Spotify, Google) requires OAuth. That’s what I use authlib for, anyways. It simplifies the OAuth process so much that I don’t have to think about the authentication process when designing an app.

80x faster than Whisper is an incredible feat. How is Deepgram's transcription accuracy?

Also, have you heard of Conformer-1 by Assembly-AI[1]? It released a few days ago and supposedly scored higher than Whisper on various benchmarks.

[1]: https://www.assemblyai.com/blog/conformer-1/

Can you explain your process in more depth?

This is awesome and heavily resonates with me. Specifically this line:

> Sometimes when I get depressed I stop caring for myself, but I'm always good about showing up for others.

What stage of the project are you on? How can I track or contribute? I would love to see this come to fruition.

It was an enjoyable and enlightening read. Now I’m thinking how I can rewrite my tile-based path-finding RL project to utilize more Tensors and less for loops.

Well done! I’m looking forward to reading how you concurrently ran 100 million mini snake games.