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Muse Spark: Scaling towards personal superintelligence

ai.meta.com

81–90 of 392 posts

Re: Muse Spark: Scaling towards personal superintelligence

#81

How's the metaverse doing? It was the next big thing and how we're all going to be working inside it in... was it like 3 months ago? Maybe they need to mine more libra coin first? or is it diem now? is that even still part of meta? I'm sure this new AI is super intelligent and super awesome and will be writing all the code, making all the blog posts, and generating all our youtube shorts in 6 months.

what's with the negativity?

yeah, the metaverse got abandoned. Also: Meta was the only one to try the concept for the past X-umpteen years even though everyone in the industry ga-gas over virtual reality worlds and workplaces at every opportunity. It's literally Meta and Linden Labs (which has been on life support for 10+ years.)

The alternative is : no one does it and nothing gets abandoned, which the industry has shown itself to be exceedingly good at w.r.t VR for the past 40+ years.

To be clear: I have no faith in meta as a company; my problem lies in kicking an entity because they attempted something different.. I don't think that's productive, and it produces stuff like the past AI winters because groups get afraid of touching experimental concepts ever again lest they incur the wrath of the shareholder.

Re: Muse Spark: Scaling towards personal superintelligence

#82

Earlier quoted context omitted.

It's benchmaxxed. If they actually matched Opus 4.6 on such a short timeline, it would have been mighty impressive. (Keep in mind this is a new lab and they are prohibited from doing distills.)

how do you know it's benchmaxxed?

meta's benchmaxing tendencies are well known. llama4 was mega benchmaxxed, there's nothing that suggests to me that meta's culture has changed.

Re: Muse Spark: Scaling towards personal superintelligence

#83
post #11

I'm cautiously waiting for the feedback from the first users. Meta has produced a lot of great models (LLama), maybe this is a comeback... but I'm cautious, as the jump in the quality is almost too high. Also, I think people aren't used that using such models requires meta.ai or meta ai app.

My Meta friends say it's benchmaxxed af

We used to call this "overfitting," but I suppose everything has to be maxxed now. Fitmaxxed?

Re: Muse Spark: Scaling towards personal superintelligence

#84
post #22

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

I think they just want to be a winner in the “next thing.” They hit social networking, but missed mobile operating systems and didn’t compellingly win at social media. Eventually an ambitious person with a bazillion dollars wants a clear win, right?

Re: Muse Spark: Scaling towards personal superintelligence

#85

How's the metaverse doing? It was the next big thing and how we're all going to be working inside it in... was it like 3 months ago? Maybe they need to mine more libra coin first? or is it diem now? is that even still part of meta? I'm sure this new AI is super intelligent and super awesome and will be writing all the code, making all the blog posts, and generating all our youtube shorts in 6 months.

> Please don't post shallow dismissals, especially of other people's work. A good critical comment teaches us something.

https://news.ycombinator.com/newsguidelines.html

Re: Muse Spark: Scaling towards personal superintelligence

#86
post #69
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

you dont understand why zuck, who paid $1B for instagram when they had no revenue and 7 employees because he is paranoid about platform shifts, decided to join the race for (what is seeming highly possibly) the biggest platform shift in human history?

He also tried and failed to buy Snapchat, and then copied their feature on all their big products: Instagram, Facebook and even WhatsApp.

Re: Muse Spark: Scaling towards personal superintelligence

#87

Question: since they've rebooted their approach to AI... have they given up on open models? There's no mention of open source or open weights or access to the models beyond their hosted services.

Alexandr Wang on Twitter [0] mentioned open source plans: "this is step one. bigger models are already in development with infrastructure scaling to match. private api preview open to select partners today, with plans to open-source future versions. incredibly proud of the MSL team. excited for what’s to come!" https://x.com/alexandr_wang/status/2041909388852748717

So the answer is: no. lol. Remember Llama 4 Behemoth, and how we were supposed to get more great models from it?

Re: Muse Spark: Scaling towards personal superintelligence

#90
post #85

How's the metaverse doing? It was the next big thing and how we're all going to be working inside it in... was it like 3 months ago? Maybe they need to mine more libra coin first? or is it diem now? is that even still part of meta? I'm sure this new AI is super intelligent and super awesome and will be writing all the code, making all the blog posts, and generating all our youtube shorts in 6 months.

> Please don't post shallow dismissals, especially of other people's work. A good critical comment teaches us something. https://news.ycombinator.com/newsguidelines.html

Establishing a pattern of over hyping of projects that then disappear isn't a shallow dismissal.
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