Why are you representing this as such a binary here? For SLM we don’t need the Taalas stuff at all. Just run it locally on your own device if it’s truly a small model. And there’s plenty of larger models that can be run on-premise just fine.

I think it’s impressive that a frontier model can achieve 750t/s. That’s all. You can get similar insane token speeds from other open weight models too.

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windexh8er an hour ago | parent [-]

The irony here is, according to you, my take is the binary one. When your response is: well, we can all just run it on our devices - we don't need any other options!

You seem to be cool with a very small and gated ecosystem with whatever tech billionaires want you to have access to.

I grew up in the era where compute was diverse and open. You may think this is OK, but it's not. The more options we have and the more diversified they are the better tech will move back towards.

I'm not the one with the myopic view here. Enjoy your "on-device" models over in your utopia of a walled garden.

	▲	Kirby64 an hour ago \| parent [-]
		I think you’ve got things quite backwards if you think that the desire to run models on device or use any of the variety of open weight models (big or small) on premise is somehow bowing down to tech billionaires. Quite the opposite really. Once again, my statement is that the Taalas product is not a fair comparison because it runs an old outdated model. If you want to run a similar model at similar speeds (albeit not serially, but in parallel) you don’t need their product.