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Muse Spark: Scaling towards personal superintelligence

ai.meta.com

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Re: Muse Spark: Scaling towards personal superintelligence

#131

Post by ChipopLeMoral »

tty456 wrote: post #92

I don't get the comments trashing this. If it slightly beats or even matches Opus 4.6, it means Meta is capable of building a model competitive with the leading AI company. Sure, they spent a lot of money and will have on-going costs. But how much more work would it take to turn that into a coding agent people are willing to try (and pay for) along side their usage of a collection of agents (Claude, Codex, etc)? Also…

> I don't get the comments trashing this.

People like to hate on Meta regardless of anything, and regardless of whether it's justified or not. Not saying it isn't, just that it's many people's default bias.

Re: Muse Spark: Scaling towards personal superintelligence

#132

Post by nharada »

Saying nothing about the actual performance of this model, it does strike me how .... minimal(?) this announcement is. Their safety section is like 2 paragraphs about bioweapons. Go look at the reports for OpenAI and Anthropic's model releases. It's like 50+ pages of tests, examples, reports, and benchmarks across a bunch of safety and wellfare metrics.

If Meta wants to be seen as a cutting edge massive lab they need to come across as one instead of looking like a school project version of a frontier model.

Re: Muse Spark: Scaling towards personal superintelligence

#133

Post by gallerdude »

NitpickLawyer wrote: post #97
blahblaher wrote: post #55

Earlier quoted context omitted.

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.

You wouldn't use this as an API. You would "use" this inside the meta properties. Have a shop on fb marketplace? Now you have copy, images, support, chat, translations, erp, esp, fps and all the other acronyms :) and so on for your mom and pop shop @200$/mo. Probably worse than say claude/gemini but it's right there, one button away. "Click here to upgrade to AI++" or something.

But rolling your own can’t be that much cheaper than buying it from a leading lab. Especially when you consider the amount of spending on datacenters.

Re: Muse Spark: Scaling towards personal superintelligence

#134

Post by hungryhobbit »

conradkay wrote: post #31
ddp26 wrote: post #6

The second paragraph starts "Muse Spark is the first step on our scaling ladder and the first product of a ground-up overhaul of our AI efforts. To support further scaling, we are making strategic investments..." This article is about Meta, not about the user. Who signs off on these? Is the intended audience other people at Meta, not the user?

Stock up 9% today, very pleasant for Zuck if you do the math on his net worth :)

I mean, kinda? It's not like Zuck is selling his stock tomorrow, so daily fluctuations in stock price don't really affect him.

Re: Muse Spark: Scaling towards personal superintelligence

#136

Post by EnderWT »

edwcross wrote: post #130

What is the "BioTIER-refuse" thing mentioned in the "Bioweapons Refusal" graph? I Googled it and found absolutely nothing. Well, to be honest, I got 100% of websites containing the French word "boîtier" (box) with a typo. Even on Google Scholar, the closest match is "BioTiER (Biological Training in Education and Research) Scholars Program", which is at least 10 years old and has nothing to do with that. Is that an AI…

https://securebio.org/biotier/

Re: Muse Spark: Scaling towards personal superintelligence

#137

Post by addandsubtract »

dgellow wrote: post #22
gallerdude wrote: post #14

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.

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

To download all those torrents, obviously.

Re: Muse Spark: Scaling towards personal superintelligence

#140

Post by tekacs »

https://meta.ai/share/pe4HxOfv2Bp

Finding a little bit tricky to evaluate because the harness is unfortunately very, very bad (e.g. search is awful). Can't wait to try this in some real external services where we can see how it performs for real.

Definitely getting ordinary high-quality results, overall. But hard to test agentic behavior and hard to test prose quality, even, when just working off of the default chat interface.

One thing that stands out is that _for_ the quality it feels very, very fast. Perhaps it's just only very lightly loaded right now, but irrespective it's lovely to feel.

I'm quite impressed with the tone overall. It definitely feels much more like Opus than it does, like, GPT or Grok in the sense that the style is conversational, natural and enjoyable.

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