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Muse Spark 1.3

developer.meta.com

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Re: Muse Spark 1.3

#221
post #3

llm -m meta-ai/muse-spark-1.3 "Generate an SVG of a pelican riding a bicycle" https://tools.simonwillison.net/markdown-svg-renderer?url=ht... 4.2266 cents, 38 seconds. For comparison here's Muse Spark 1.2, which animated it without me asking it to: https://tools.simonwillison.net/markdown-svg-renderer?url=ht... The 1.3 one is definitely better - better bicycle frame, better wing, better pelican hat. UPDATE: Here's an…

[flagged]

I also aced my interview by focussing on pelicancode problems, instead of leetcode problems.

Re: Muse Spark 1.3

#222
post #24

Practically free for "contributors" at 0.2 usd/mtok. That's going to be hard to say no to for hobbyists.

I'm wondering whether anyone has yet extracted AWS keys from a model trained on user input. Because users are definitely feeding secrets into these "contributor" models

A small number of inputs in a large dataset can poison training data pretty drastically. Anthropic wrote a good article about it a while back [0]. This should mean its possible to pull back that information fairly easily.

It is hard to not feed it "secrets" too. Models will see path names, read compose files, etc. Of course you can configure things to not leak this type of information, but its not default in most harnesses and isn't 100% sufficient anyways.

[0] https://www.anthropic.com/research/small-samples-poison

Re: Muse Spark 1.3

#223

The "contributor" pricing is the standout here at a ~20x discount, if you allow training on your data. The model seems on par with Sol and Opus 5 on paper (admittedly on some older/saturated benchmarks, but very competitive for $). Stats: 1M context, $0.10 input/$0.002 cached, $0.20 output (Mtok)

Not to mention, this is hyper competitive against even Chinese providers given its multi-modal support.

Muse Spark 1.3 supports Text, Image, Video, File, Audio inputs. We've only started to see models from China include image and video inputs recently.

Re: Muse Spark 1.3

#225
post #24

Practically free for "contributors" at 0.2 usd/mtok. That's going to be hard to say no to for hobbyists.

I'm wondering whether anyone has yet extracted AWS keys from a model trained on user input. Because users are definitely feeding secrets into these "contributor" models

doesn't mean the raw text goes into training. they most likely have a pipeline to clean out any secrets before they train on it?

Re: Muse Spark 1.3

#226

I started using Spark 1.2 for development because if you're willing to let Meta train on your data it was dirt cheap and was actually really pleasantly surprised with it. It's not a frontier model by any means, but for work that didn't require a top of the line model, I really enjoyed using it. I'm anthropomorphizing it a bit, but it felt like it knew its weaknesses and didn't try to impose it's opinions on me. What…

>I started using Spark 1.2 for development because if you're willing to let Meta train on your data it was dirt cheap its free on opencode and i use it for personal projects. most of my personal projects are AI generated since its personal projects. nothing important are on them. it is hilarious if Meta is training their AI model with AI generated code.

Funny. I use it through Opencode Go which gives more use than I can use, but didn't realize it was actually free on Zen. Will switch to that I guess

Re: Muse Spark 1.3

#227
post #141

Earlier quoted context omitted.

Dario's idea of an ethical focus seems to be keeping powerful models out of the hand of anyone unethical, which coincidentally is everyone except him.

Yeah this would be a great point if it were true and they didn’t give Mythos access to companies to fix bugs, which they did and have. It’s genuinely a difficult question. Not black and white. The models are really good at finding bugs, as demonstrated by people using Fable to reverse engineer. People make it sound like he’s just making it up.

They gave a few of the largest companies access to mythos.

Half a year later, it is still not available to everyone else.

Re: Muse Spark 1.3

#228
post #70

Earlier quoted context omitted.

Gotta be honest that I’m tired of the “I hate Zuck and Meta so much” comments every time Meta does anything. Ditto Elon/X. Fine, I get it. I don’t like Zuck either. But the post is about Muse Spark 1.3. What do you think about that? If you don’t like it because Meta made it, then maybe just don’t use it and stay silent.

What I'm tired of is the top story (or five) on HN every day announcing Spark Opus Fable Grok Gemini v4.1i3-F. Like, who actually cares? Are people excited for the new benchmarks? Is it interesting to read the model cards? And look, part of my job is to use these things and part of my job is to pick EC2 servers, too. The front page of HN is increasingly resembling one of those endless AWS pricing lists. And yeah, I d…

Yes, people are excited.

Re: Muse Spark 1.3

#229
post #78

Earlier quoted context omitted.

as a kid I did them like this. nobody told me to do that. are we all so similar?

I sincerely believe I've never had a single original thought™ in my whole life. There is this scene in the HBO series Westworld where a "host" says some words in sequence which is shown on a display as she says it. Of course, even me thinking of this scene and connecting it to your comment was not original, someone else clearly had the same programming as me. A medium blog post says > Pair what with me?” — the moment…

Westworld is such a time capsule.

It's not even that old - but back when it was aired, an AI that can not just string together coherent sentences, but produce coherent reactions in novel, fully unintended contexts, like Maeve was doing there? It was totally a sci-fi premise.

Now we have AIs capable of that and more, and no one bats an eye.

Re: Muse Spark 1.3

#230
post #45

Earlier quoted context omitted.

With the contributor pricing being more than 10x cheaper than the standard, that would make it best and cheapest on the DeepSWE leaderboard! It feels fast in my experience too. LLMs keep improving at an insane pace.

and they're ultimately tools strictly to replace you and your labor, they can't/won't cure cancer or make your life better. Your life will get worse and worse in every aspect until they extract maximum value from all of our lives with this technology through every avenue possible. Not sure why you guys are so excited about these developments. This technology is strictly an extractive parasite on the world. Use it, bu…

I'm using AI to build things I wouldn't (and/or couldn't) have built before.

That's the opposite of parasitic.

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