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Muse Spark: Scaling towards personal superintelligence

ai.meta.com

211–220 of 392 posts

Re: Muse Spark: Scaling towards personal superintelligence

#211

Personal Superintelligence made me think this was an open-source model being released and I was excited. Then I continued reading and I'll just wait until the model comes out.

I was really excited until I realised that “personal” meant “owned by meta“.

I’m trying to decide is I find the doublespeak a bit offensive or not.

Re: Muse Spark: Scaling towards personal superintelligence

#213
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...

"Please don't complain about tangential annoyances—e.g. article or website formats, name collisions, or back-button breakage. They're too common to be interesting." - Hacker News Guidelines https://news.ycombinator.com/newsguidelines.html

It's at least Meta-relevant. Compression Represents Intelligence Linearly (Y Huang, 2024)

Re: Muse Spark: Scaling towards personal superintelligence

#214

Meta is in a weird spot. They caught up late to the game and instead of releasing llama as a chat bot they open sourced it, precisely because they lost the mind share. They thought chatbot is not their product and I am sure they are regretting it now. Mark is obsessed with becoming the android of something and he poured billions into the metaverse thinking he is first and failed. He then open sourced llama and wanted…

The llama weights were leaked. It open sourced itself.

You are right though. Meta could have been in lockstep releasing ChatGPT features into some chat bot on Facebook.com but instead it seemed like their FAIR arm was hell bent on commoditising this stuff by publishing their research models before the Chinese companies took the lead in that.

It’s hard for me to be mad at FAIR even though I general disagree with the outcomes that Meta produce for their users.

Re: Muse Spark: Scaling towards personal superintelligence

#215

Earlier quoted context omitted.

Curious on why you think this. Any data points that led you to this?

The benchmarks they released

What do you mean? In most cases, the benchmarks show a larger number for Muse and a smaller number for Opus.

Re: Muse Spark: Scaling towards personal superintelligence

#217

Meta is in a weird spot. They caught up late to the game and instead of releasing llama as a chat bot they open sourced it, precisely because they lost the mind share. They thought chatbot is not their product and I am sure they are regretting it now. Mark is obsessed with becoming the android of something and he poured billions into the metaverse thinking he is first and failed. He then open sourced llama and wanted…

> He then open sourced llama and wanted to be the android of llms.

Well the original llama did kick off the era of open source LLMs. Most original open source LLMs were based on the llama architecture. And look where we are now OSS modles are very close to frontier.

It may not have benefitted Meta but it commoditizatised LLMs.

Re: Muse Spark: Scaling towards personal superintelligence

#218

How is that Meta spent so much money for talent and hardware, but the model barely matches Opus 4.6? Especially, looking at these numbers after Claude Mythos, feels like either Anthropic has some secret sauce, or everyone else is dumber compared to the talent Anthropic has

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 autonomy.

Overall they don't have any real moat, but they are more focused than their competition (and their marketing team is slaying).

Re: Muse Spark: Scaling towards personal superintelligence

#219

Earlier quoted context omitted.

Nah I remember how disgusted I felt trying llama 4 maverick and scout. They were both DOA.. couldn't even beat much smaller local models.

I'll cosign what you said, simultaneously, yr interlocutor's point is also well-founded and it depresses me it's not better known and sounds so...off...due to conventional wisdom x God King Zuck's misunderstanding his own company and resulting overreaction. They beat Gemini 2.5 Flash and Pro handily on my benchmark suite. (tl;dr: tool calling and agentic coding). Llama 4 on Groq was ~GPT 4.1 on the benchmark at ~50%…

Your comments seem to imply the engineers made a great product but Zuck intervened so now it's shit

Re: Muse Spark: Scaling towards personal superintelligence

#220
post #215

Earlier quoted context omitted.

The benchmarks they released

What do you mean? In most cases, the benchmarks show a larger number for Muse and a smaller number for Opus.

In Multimodal yes, but Opus is definitely edging out in Text/Reasoning and Agentic benchmarks.

I think the general skepticism is because they are late to race, and they are releasing a Opus-4.6-equivalent model now, when Anthropic is teasing Mythos.

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