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Muse Spark 1.3

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Re: Muse Spark 1.3

#181

Post by usef- »

biddit wrote: post #150
tyre wrote: post #47

Meta is one of those companies where, if there is anything remotely comparable, I'm happy to pay more to not use them. They've had a profoundly negative impact on society and Zuckerberg is not who I want controlling the future at the top of AI. I feel the same about Grok w/ Elon. I will pay extra to use someone else. I'm not an Amodei stan, but of all of these people he seems to have the most ethical focus. Again, no…

Strong disagree with the Anthropic being good at all part. This is not defending anyone else, but… Anthropic leadership repeatedly presents themselves as uniquely morally qualified to steward agi and decide how humanity should get access to it. Yet they have repeatedly failed basic morality tests. Pirating books for financial gain. The newer Sony/Warner music case shows this is pattern behavior. Aggressively scraping…

Which safety commitments did they back away from? My understanding is that they believe safety can only be researched from the frontier, and so they're trying to be pragmatic to stay near the frontier (and viable) in their choices.

From what I know, the "books3" dataset was normalised in the LLM and research ecosystem, where collected datasets were seen as valid to train on and/or fair use. I'm not sure any of the major frontier companies are free from that, if we don't believe it was fair use.

I do think most of their choices are explainable by "they just believe in agi risk". You truly wouldn't want non-agi-pilled companies to train on your data and approach the frontier if you were worried. You might slightly hurt your own business with safety filters (that no one else does) if you were worried. They are less worried about other "moral" decisions like "sharing" if they conflict with AGI: the research they still share is all of their safety research.

This definitely doesn't make them "good", but they do seem fairly "consistent". Most of these issues were talked about publicly by the founders long before Anthropic was founded and/or the AI race+money appeared.

Re: Muse Spark 1.3

#182

Post by porphyra »

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.

The canonical view of a bicycle is facing right. Usually, people want to draw/photograph/depict the side of the bicycle with the running gear, which is on the right side of the frame for historical reasons.

Re: Muse Spark 1.3

#183

Post by phyrex »

gehsty wrote: post #158

As a product, would developers switch to a meta model/harness? I don’t think so. Only way I see is if it becomes the new SOTA / frontier, does anyone think Meta will surpass Anthropic or OpenAI? I still can’t get my head around why language models are an existential threat to Meta - they own the platforms people watch adds on?

Meta also has 50k engineers. Not to mention that tons of meta infrastructure - including ads! - use AI. Would you want that sort of business be this dependent on someone else?

Re: Muse Spark 1.3

#184

Post by dakolli »

MangoCoffee wrote: post #109
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…

>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.

Every lab trains their models with AI generated code at this point.

Re: Muse Spark 1.3

#185

Post by danielmarkbruce »

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?

Even if all the big ideas are gone and we are entering a new part of the curve, there is still an enormous amount of improvement possible. Just iterating on data mix/quality etc, training pipelines, reward functions, specific ways of reasoning (which i guess is mostly just data still) for the next 20 years will yield a looooot. And that's just the models. The harnesses/application layers/whateveritgetscallednext space has 20 years of progress to make.

Re: Muse Spark 1.3

#186

Post by NamlchakKhandro »

noduerme wrote: post #107
drob518 wrote: 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…

Same for Apple products

Re: Muse Spark 1.3

#187

Post by billypilgrim »

porphyra wrote: post #120
kenjackson wrote: post #71

Earlier quoted context omitted.

They don't all suck equally. Here's the order, from best to worst. Amodei Google SamA Zuck Elon

In my personal opinion (this will be controversial and feel free to disagree): Elon is the best. * great contributions to many industries including spaceflight, electric cars, and self driving cars. It doesn't even matter if he is the technical mind behind these achievements or if he is just a buffoon that pretends to know the implementation details; the dude has a way of bringing together experts, having the overall…

Grok? The model that was deliberately adjusted to not say that Elon Musk or Trump spread misinformation? No idea how people can actually believe that Musk is interested in the truth. https://techcrunch.com/2025/02/23/grok-3-appears-to-have-bri...

Re: Muse Spark 1.3

#188

Post by pqdbr »

ctolsen wrote: post #143
dbbk wrote: post #89

Earlier quoted context omitted.

How is it not SOTA? It's beating 5.6 Sol.

You gotta keep up. Fable 5.1 came out yesterday and is better so anything else is to be treated as garbage now.

Thats 3 months in AI years.

Re: Muse Spark 1.3

#189

Post by dakolli »

WASDx wrote: post #45
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!

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, but don't be excited.

Re: Muse Spark 1.3

#190

Post by SyneRyder »

noduerme wrote: post #107
drob518 wrote: 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…

> Like, who actually cares? Are people excited for the new benchmarks? Is it interesting to read the model cards?

I'm genuinely interested. Even the benchmarks - before Fable came out & while waiting for Astra, I actually setup a math model to predict where they would land (Fable came in at 66 on AA exactly as it predicted), and now I have a model for where these models and Chinese models will likely land in future, and when. And probably no surprise that it's mid-2027 when we cross AA 100, essentially as AI 2027 predicted all along.

I'll probably setup the harness I made for myself to try out some of these models on OpenRouter. I've been frustrated with Opus & Fable 5 and found that I like working with GLM 5.3 Flash far more than I expected to, and I only found that out because I tried it during the stealth Ox Alpha launch, which I probably found out about here too.

TLDR, I think some / many people here are genuinely interested, excited, and that's why they're upvoted so highly. And Muse Spark 1.3 scoring highly seems like a genuine surprise, when Meta was basically a write-off not long ago.

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