Hacker News Board Hacker News, browsed like a classic message board
Live data from Hacker News

Muse Spark: Scaling towards personal superintelligence

ai.meta.com

Post reply on HN
Print view View original

271–280 of 392 posts

Re: Muse Spark: Scaling towards personal superintelligence

#271

Post by atleastoptimal »

Eufrat wrote: post #245
holoduke wrote: post #235

Earlier quoted context omitted.

Nah. Everybody is talking about ai. Everybody is using it. It's by far the most popular new tool human beings are using currently. As popular as mobile phones or spoons. And maybe as disruptive as the steam engines. AI companies are becoming the largest software companies on the planet. Everything points into that direction. Trillions of dollars are waiting in the market to be collected.

Based on what? A lot of this is vibes and FOMO; just like any economic bubble. There is no objective evidence of anything you’ve said. It isn’t even clear if AI has contributed positively to global economic growth. It reminds me a lot of the late 90s and the dot-com mania. Slapping a domain on a commercial would make your stock go up even if there was no substance to any of it. The real shame is this mania drowns out…

How can you look at Anthropic's revenue chart and claim it's just vibes

Re: Muse Spark: Scaling towards personal superintelligence

#272

Post by girvo »

fleabitdev wrote: post #206
hackrmn wrote: post #98

The hero image on the linked page, which consists of a muted teal background with the words "Introducing Muse Spark", weighs in at 3,5MB. I don't even...

Good catch - looks like it's a PNG image, with an alpha channel for the rounded corners, and a subtle gradient in the background. The gradient is rendered with dithering, to prevent colour banding. The dither pattern is random, which introduces lots of noise. Since noise can't be losslessly compressed, the PNG is an enormous 6.2 bits per pixel. While working on a web-based graphics editor, I've noticed that users upl…

My reasoning is because once upon a time, I was using Macromedia Fireworks, and PNGs gave far far better results than JPGs did at the time, at least in terms of output quality. Nearly certainly because I didn't understand JPG compression, but for web work in the mid 2000s PNGs became my favourite. Not to mention proper alpha channels!

...and so it's stuck, two decades on haha

Re: Muse Spark: Scaling towards personal superintelligence

#273

Post by brianmcnulty »

spearman wrote: post #224

Uploading images requires logging in. Logging in is broken. It redirects to https://meta.ai/?error=Token%20exchange%20failed and doesn't show any error message. Impressive.

It has been up and down today, specifically with authentication breaking. I also saw an error message with backend SQL in it (in my 6 years of Meta bug bounty security research, I have never once seen backend SQL before).

I suspect it is because they also refactored Meta AI entirely to use Next.js instead of their normal stack they use for literally everything else. Not sure why they would do this, but I guess it works (...or maybe not) for them.

Re: Muse Spark: Scaling towards personal superintelligence

#274

Post by Eufrat »

atleastoptimal wrote: post #271
Eufrat wrote: post #245

Earlier quoted context omitted.

Based on what? A lot of this is vibes and FOMO; just like any economic bubble. There is no objective evidence of anything you’ve said. It isn’t even clear if AI has contributed positively to global economic growth. It reminds me a lot of the late 90s and the dot-com mania. Slapping a domain on a commercial would make your stock go up even if there was no substance to any of it. The real shame is this mania drowns out…

How can you look at Anthropic's revenue chart and claim it's just vibes

1. Revenue is not profit; you can make $10 billion by spending $20 billion.

2. It is not clear how they are getting their numbers.

Re: Muse Spark: Scaling towards personal superintelligence

#275

Post by CuriouslyC »

zozbot234 wrote: post #230
CuriouslyC wrote: post #218

Earlier quoted context omitted.

Anthropic has just been focused on coding/terminal work longer mostly, and their PRO tier model is coding focused, unlike the GPT and Gemini pro tier models which have been optimized for science. Their whole "training the LLM to be a person" technique probably contributes to its pleasant conversational behavior, and making its refusals less annoying (GPT 5.2+ got obnoxiously aligned), and also a bit to its greater au…

Autonomy for agentic workflows has nothing to do with "replying more like a person", you have to refine the model for it quite specifically. All the large players are trying to do that, it's not really specific to Anthropic. It may be true however that their higher focus on a "Constitutional AI"/RLAIF approach makes it a bit easier to align the model to desirable outcomes when acting agentically.

You think it has nothing to do with it. Even they only have a loose understanding of exactly the final results of trying to treat Claude like a real being in terms of how the model acts.

For example, Claude has a "turn evil in response to reinforced reward hacking" behavior which is a fairly uniquely Claude thing (as far as I've seen anyhow), and very likely the result of that attempt to imbue personhood.

Re: Muse Spark: Scaling towards personal superintelligence

#276

Post by anigbrowl »

Kinda off topic but I wonder why they picked this name, knowing of Nvidia's Spark. They're different products, obviously, but the potential for confusion is real as both brands are competing for mindshare in the AI space. I opened this story expecting to read they'd deployed on a cluster made of Spark machines or somesuch.

Re: Muse Spark: Scaling towards personal superintelligence

#277

Post by rain-princess »

TobTobXX wrote: post #254

> Muse Spark is a natively multimodal reasoning model with support for [...] visual chain of thought [...]. Do they mean "the chain of thought is visible to the user" (ie. not hidden like ChatGPT), or "the medium of the chain of thought is not text, but visuals" (ie. thinking in images). I'd guess the former, since it wouldn't be economical to generate transient images, just for thinking. But I'm not sure why they'd…

Actually I believe that behavior shows up in Gemini chats (if you are doing a visual task) it will generate intermediate diagrams and research papers have created approaches to that effect (generating turtle diagrams) since 2024

Re: Muse Spark: Scaling towards personal superintelligence

#278

Post by bob001 »

spindump8930 wrote: post #184
prodigycorp wrote: post #82

Earlier quoted context omitted.

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: changes, there's been enormous turnover in AI organizations, and in theory this one was developed by a "new" org. Whether that means less or more benchmaxxing is anyone's guess.

More I'd guess since the new org needs to prove itself long enough for stock to vest. Fudge the benchmarks gives them a longer horizon before they're all fired anyways.

Re: Muse Spark: Scaling towards personal superintelligence

#279

Post by zmmmmm »

The real question for me, if we assume they once again have a competitive frontier model, is what this means for Meta's strategy now. In particular, have they abandoned all their philosophy of the open ecosystem / open model play they were pursuing before?

While it's true, llama4 sucked, I still can't help feeling they have lost ground compared to where they would have been if they maintained that strategy. Due to llama, they were considered a peer with the other frontier model providers. Now they are not even in the conversation. It would take an incredible shift in performance to make me even consider using their new model. They may have a model, but the other providers have been busy building whole ecosystems around their tech which Meta has none of.

Maybe they could dump $1b into OpenCode or something and reignite the open ecosystem play with an open harness. They need something to get back in the conversation, if that's where they want to be. Otherwise, it will just be another closed, hidden proprietary AI model driving user facing Meta apps, but which nobody else cares about.

Re: Muse Spark: Scaling towards personal superintelligence

#280

Post by jychang »

dilap wrote: post #141
zozbot234 wrote: post #108

Earlier quoted context omitted.

The llama4 series was one of the earliest large MoE's to be made publically available. People just ignored it because they were focused on running smaller and denser models at the time, we should know better these days.

Deepseek R1 was a publically-available, MoE model that was getting a ton of attention before llama4. Llama4 didn't get much attention because it wasn't good.

Also, Gemini 2.5 Pro launched a week before Llama 4.

It was Gemini 2.5 Pro that redeemed Google in the eyes of most people as a valid competitor to OpenAI instead of as a joke, so Meta dropping the ball with Llama 4 was extra bad.

Post reply on HN