Today, we’re excited to introduce Miso One, the most emotive voice model in the world.
Miso One is an 8-billion-parameter text-to-speech model for highly expressive speech generation. It emotes like a human and responds faster than a human, with just 110 milliseconds of latency.
We’ve open-sourced the model weights, with API access coming soon.
Hear how Miso One sounds in the thread below.
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Auto-research is taking off. Inside xAI, Anthropic, OpenAI, DeepMind, Meta SI: frontier models are running their own training experiments.
At Expanse, we benchmarked 8 frontier models to see how efficient they are at resource efficiency.
TLDR: They all ended up over-provisioning compute by 2x, even for coding specific models.
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Congrats on the launch, @Matthew_Yekell & @RosenzweigLuc!
https://t.co/Bk7Q3X8N3G
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Congrats on the launch, @c0delemons & @RiteshMalpani!
https://t.co/02YPDfK0hW
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Congrats on the launch, @ismaeel_bashir_, @nkdem_b, @yafet_melake, and @erenzmendi03!
https://t.co/3lFcfFk7gS
Saving $56K/month by compressing checkpoints is cool.
But being smarter about when you checkpoint is even cooler.
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