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Muse Spark 1.3

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Re: Muse Spark 1.3

#31

Post by Fergusonb »

jonahx wrote: post #25
simonw wrote: 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…

If you have a grading rubric, huge points off for adding arms instead of using the wings as arms!

I think it's hilarious that this detail is enough for me to dismiss looking into the model, but here we are, and it is.

Re: Muse Spark 1.3

#32

Post by bertili »

DeepSWE scores 75.4 - that's the best score so far. And it's crazy cheap! Google held the top a few hours today with Gemini 3.8 Flash, but now second to Spark 1.3. All this competition will drive prices down!

Re: Muse Spark 1.3

#33

Post by bigyabai »

finnjohnsen2 wrote: post #12

So one model is "Not used to improve our products" and is 10-20 times more expensive to the "Used to improve our products"-model. Given this is Meta, my immediate assumptions that one is cheap because it lets me "be the product". I know I'm rushing to conclusions but there is zero trust here. The brain will do its thing. And the wording here is giving the brains a lot of wiggle room.

Given OpenAI and Anthropic's behavior, do you really expect them to be singled out for this practice? Zero trust has been in "LGTM" territory for years now. Meta's bet against people taking a principled stance arguably paid off great.

Re: Muse Spark 1.3

#34

Post by Lucasoato »

A model that (at least in benchmarks) is getting closer to SOTA. A clear separation between what’s used to improve their products and what’s not (at least this is what they claim).

Good job Meta! Seriously. This is almost making me forget about the 18B$ lawsuit for children social media addiction.

Re: Muse Spark 1.3

#36

Post by cbg0 »

bertili wrote: post #32

DeepSWE scores 75.4 - that's the best score so far. And it's crazy cheap! Google held the top a few hours today with Gemini 3.8 Flash, but now second to Spark 1.3. All this competition will drive prices down!

But is the score really reflective of the quality or are both models benchmaxxing?

Re: Muse Spark 1.3

#37

Post by stymaar »

schopra909 wrote: post #27
scotty79 wrote: post #8

Is the fact that everybody almost catches up with the frontier a sign that we are entering a new region of sigmoid curve?

Progress is iterative. Everyone is always riffing on other’s ideas and can execute on them given enough support (eg $$). The person to get to an idea first is just 5% away, so it’s possible to catch up. Moreover,I think it’s impossible to know if you’re hitting a portion of the sigmoid, because there will often be an idea that changes the trajectory altogether. In 2024, there was a ton of talk about the plateau. Reas…

> Deepseek proposes RLVR as a way to get around the lack of $ they have to produce human reasoning trace data.

What was the difference between what deepseek did for R1 and what OpenAI did for o1?

Re: Muse Spark 1.3

#38

Post by ModernMech »

drusepth wrote: post #5
simonw wrote: 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…

Is there a reason these pelicans always have roughly the same composition (side-view, 2d, biking right, flat ground beneath, etc)? I don't see any of that detailed in the prompt, yet they all seem to generate roughly the same image of differing quality.

Yes, I do a thing where I ask the machine to generate responses in the form of a lizard talking to a cat. The lizard is always a green gecko and the cat is always orange, which I never specify.

Re: Muse Spark 1.3

#39

Post by Jcampuzano2 »

finnjohnsen2 wrote: post #12

So one model is "Not used to improve our products" and is 10-20 times more expensive to the "Used to improve our products"-model. Given this is Meta, my immediate assumptions that one is cheap because it lets me "be the product". I know I'm rushing to conclusions but there is zero trust here. The brain will do its thing. And the wording here is giving the brains a lot of wiggle room.

I'm confused what your surprise is here. It's plain and simple right to the point wording.

I don't see the wiggle room at all.

Re: Muse Spark 1.3

#40

Post by WASDx »

superfrank wrote: post #28

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…

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