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Muse Spark: Scaling towards personal superintelligence

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Re: Muse Spark: Scaling towards personal superintelligence

#53

Earlier quoted context omitted.

A new model comparable (ish) to the Claude/Gemini/GPT flagships is a big deal for the industry and for Meta even if it doesn't set the new frontier.

Their new Contemplating mode gives this model a Deep Research ability (akin to existing models from GPT and Gemini) that might make it quite comparable to the just-announced Mythos.

Mythos is a much bigger pre train, Contemplating is not the same thing.

Re: Muse Spark: Scaling towards personal superintelligence

#55

This would have been an amazing release 6 months ago. But the industry moves so fast, this is a trite release. Maybe it’s best for Meta to sell their superintelligence division. I don’t think Zuck’s vision is particularly compelling.

A new model comparable (ish) to the Claude/Gemini/GPT flagships is a big deal for the industry and for Meta even if it doesn't set the new frontier.

Why would you use this instead of the other more proven models? Unless it's significantly cheaper. The general population mostly wants it free, and the more professional users are willing to pay for good/better responses.

Re: Muse Spark: Scaling towards personal superintelligence

#56

How is that Meta spent so much money for talent and hardware, but the model barely matches Opus 4.6? Especially, looking at these numbers after Claude Mythos, feels like either Anthropic has some secret sauce, or everyone else is dumber compared to the talent Anthropic has

> has some secret sauce Yup, it's called test-time compute. Mythos is described as plenty slower than Opus, enough to seriously annoy users trying to use it for quick-feedback-loop agentic work. It is most properly compared with GPT Pro, Gemini DeepThink or this latest model's "Contemplating" mode. Otherwise you're just not comparing like for like.

> it's called test-time compute.

Why can't others easily replicate it?

Re: Muse Spark: Scaling towards personal superintelligence

#58

This really reinforces the idea that the AI race and the Railroad Mania of the 19th century are very similar. So many different companies are going to have similarly powerful ai that there will be no moat around it and it will be cheap. They will never earn their investment back.

The moat is in the compute and the energy access.

And further down the line in chips, which is why Elon is building a fab now.

There are plenty of capable models on HuggingFace, yet I have no way of running them.

Re: Muse Spark: Scaling towards personal superintelligence

#59

Earlier quoted context omitted.

A new model comparable (ish) to the Claude/Gemini/GPT flagships is a big deal for the industry and for Meta even if it doesn't set the new frontier.

I’m not sure. If it was open source, certainly. But 4th place doesn’t really matter if you have nothing different to add.

Fourth place means you're not reliant on any of the external providers for internal AI use, which is important for organizational health and negotiating with those other providers.

Re: Muse Spark: Scaling towards personal superintelligence

#60
post #22

Earlier quoted context omitted.

I never understood why meta decided to join the race. They don’t sell compute like Google or Microsoft. Why not let others do the hard work and integrate their LLMs in your systems if needed? I assume it’s because they have Instagram, Facebook, WhatsApp, Thread data and feel they should be the ones using them for training, but it’s really not obvious how having a frontier AI lab benefits their business

I’m sure there’s more to it than this, but it feels like Zuck has pet interests like VR and now AI.

But no account support, that's boring

Or any quality control (people missing posts)

Or banning the people who should be banned while leaving everyone else alone

This is Zuck: https://news.ycombinator.com/item?id=4151433 or https://news.ycombinator.com/item?id=10791198

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