I thought they use built up gunk from years in the bathroom to discover new species, so they choose a cheap motel.

probably can't have it both ways, get this level of intelligence this fast if they just get what they have paid or synthesized themselves.

Some people don't think the ends justify the means. If doing something bad is required to get a certain outcome, maybe it's still bad.

And, given the insanity that's been happening like the HuggingFace hack, maybe slower development would be a VERY GOOD THING.

Languages for AI era should be more explicit so reviewers can read it faster.

Explicit or expressive?

how is it impressive?

Still sounds AI, you can tell they exaggerate all the tone and trailing "high scoring expressive sounds" like your job depends on it.

Yes, I find nearly every "SOTA" voice model I try intolerable to listen to because of the fake exaggerated expression/emotion. It's actively distracting because it pulls focus to emphasize randomly. ChatGPT Voice models are so insufferable to put up with for a conversation longer than 45 seconds.

All I want is a clear, technically flawless, even/restrained "computer voice" for pretty much every use case (except audiobooks). But that doesn't make for splashy demos/score well for RLHF raters.

Yes, I wish there was more focus on correct pronunciation over emotion. You need a mechanism to control/guide the voice which gets under balance right between not having to specify everything and still letting you fix certain cases (where you know a certain sense of a word is meant)

They trained the female voice like it will be used for sex chats. Real life females don't talk like they are flirting with you, at least in my own experience.

Sure a fast response on HN would make people switch. Try better rates, infra, limits etc.

The new default is 6.0 Sol high. Escalate to Astra-medium. If usage is tight go luna6.0-max

their pipeline would be to just prompt it's internal next gen models to create a jev copy given all the data they have as a first pass.

This is the real moat, the training data, they even said it, it's the meticulously crafted data that they bet on

Even then, TypeSafe AI point out that "Jev doesn't have deep knowledge of niche domains, but you can supply context to help it decide. If you’d like Jev trained on your use cases, let us know."

This is same case with LLM's which allows you to also fine tune it.

Not really. SOTA LLMs have much larger context windows.

but the author has Lara.