You can use voice prompting; it's supported on ElevenLabs and Hume.

Awesome post!

Indeed, the title undersells it and I'm glad I didn't skip over it, the article is basically an information-dense but approachable summary of audio generation.

you might like https://en.wikipedia.org/wiki/Noether%27s_theorem

Related work:

Interpreting Modular Addition in MLPs https://www.lesswrong.com/posts/cbDEjnRheYn38Dpc5/interpreti...

Paper Replication Walkthrough: Reverse-Engineering Modular Addition https://www.neelnanda.io/mechanistic-interpretability/modula...

And more recently, [Language Models Use Trigonometry to Do Addition](https://arxiv.org/abs/2502.00873)

hume.ai specializes in expressive prosody for TTS (disclaimer - I work here)

Time to first token is as important to know for many use cases, rarely are people reporting it

See here for our TTFT metric benchmarks: https://artificialanalysis.ai/models/llama-3-1-instruct-70b/...

this is nuts

We think so too, big things coming :)

www.juicelabs.co

+1, had the fortune to work with him at a previous startup and meetup in person. Our convo very much broadened my perspective on engineering as a career and a craft, always excited to see what he's working on. Good luck Simon!