you and me both buddy

I'm signing up like, oh, I have a lot of gaps I can fill in with calculus, and it's like, no, you got a lot of gaps you need to fill in with simplifying cube root expressions. The best is every once in awhile it double checks to make sure I still know what multiplication is, with like Dick and Jane bought 10 apples problems. I have given it no reason to believe otherwise! But I trust the algorithm.

Also, I go too fast through them and do stuff in my head that I should write down and make dumb mistakes, and when I get the "Incorrect" I'm like, yeah, I see exactly the dumb thing I did, let's move on, and it's like, no, let's do a next problem that's real nice and easy to make sure you get this and I'm like "stop patronizing me motherfucker".

This post is for anyone building AI models, rethinking human-computer interaction, or just wanting to build really great products. It explores the implications of advanced speech capabilities in machine learning, drawing on my five-plus years of experience and conversations building AI-native products.

Nice work. You seem to have addressed some of the challenges that arise in teaching computers to speak.

This blog breaks it down well:

https://www.papercup.com/blog/realistic-synthetic-voices

We are actively working on that. Thanks for the support.

Blog post with practical insights on building products with machine learning at their core

That looks amazing. Do you know of any write-ups on the part-time MSc from students?

It’s said to be a bit of a cash cow for the department