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- Hacker News
- This does feel like where things should be going for more natural human-AI interaction patterns. Nice write up and demos.by monkeydust
- I see that a lot of demos involve moving components from external harness into the model itself, but would this really be a flexible way to do things?
It seems that in a lot of cases you would be able to iterate faster on the user interaction harness if it's an external harness rather than a full-blown model. For example, if there's a UI standing between the user and the model that needs to change (perhaps by the user customizing it themselves).
IMO flexibility is mandatory because for fixed use cases like live translation or a straight-up voice bot, sure a model like this helps, but in each of those cases you'd just be outcompeted by even more specialized alternatives down the line.
by 2001zhaozhao - That's neat and definitely the next step. But to be honest, I don't want an AI talk to me like that.by emsign
- Very cool! The demos felt fairly contrived - e.g., count things while I talk. I wonder what more useful or commercial applications look like.by tedsanders
- One of the most interesting things to me about AI is that it seems no one has a clear use for intelligence (besides for programming which has taken off)
Every demo by openai showing of their models is "tell me how tall the statue of liberty is divided by the year the inventor of steam engines was born". It's cool but it's so hard to find an actual use. As a personal answer machine I find it very useful but if someone told me 5 years ago; here's a natural language computer as smart as at least every 15 year old, it costs a few bucks per million words. I would have thought that the applications would just scream out but till this day - outside of programming (a big deal tbc) - no one has found a good use for intelligence. It's so so weird.
I guess even a company can't just automatically make more money by hiring more people but I'm still confused
by FergusArgyll - Aside from how impressive the model is, the demos here are very well done! Quirky and short, unlike what we're used to from Anthropic and OpenAI.by rohitpaulk
- The noteworthy things to me are that the architecture is a transformer that takes in text, image, and audio input and produces text and audio output, all trained together, and it works in near real-time through interleaving inputs and outputs rather than pure generation of the output from a given prompt.
> Time-Aligned Micro-Turns. The interaction model works with micro-turns continuously interleaving the processing of 200ms worth of input and generation of 200ms worth of output. Rather than consuming a complete user-turn and generating a complete response, both input and output tokens are treated as streams. Working with 200ms chunks of these streams enables near real-time concurrency of multiple input and output modalities.
That's probably the main thing that distinguishes it from the multimodal models from other frontier labs as far as I can tell.
by alyxya - These videos are worth a watch. There are tons of impressive moments, but they had me at the very first one where a woman says: "I'm going to tell you a story," and then pauses for a long, luxurious sip from a cup of coffee, and the model ... does nothing, just waits. Take my money.
Speaking of taking my money, what's the economic model for a company like this? They've published a fair amount about their architecture - enough that I imagine frontier labs could implement. Patents? Trade secrets? It's hard for me to understand how you'd be able to beat that training compute and knowhow at Anthropic/GOOG/oAI/Meta without some sort of legal protection.
I can't wait to see what these model architectures do with like 30-40% lower latency and more model intelligence. Very appealing. For reference, these look to be roughly 1/10 the size of Opus 4.7 / GPT 5.x series -- 275B, 12B active. So there's lots of room to add intelligence, and lots of hope that we could see lower latency.
by vessenes