I would like someone to tell me how stupid I am. If I were Meta/Zuck I'd open source a great model the moment my company developed it. This just looks like a pitch to investors, otherwise.
Muse Spark: Scaling towards personal superintelligence
121–130 of 392 posts
Re: Muse Spark: Scaling towards personal superintelligence
#122Earlier quoted context omitted.
A new model comparable (ish) to the Claude/Gemini/GPT flagships is a big deal for the industry and for Meta even if it doesn't set the new frontier.
Why would you use this instead of the other more proven models? Unless it's significantly cheaper. The general population mostly wants it free, and the more professional users are willing to pay for good/better responses.
I won't use it, but I'm excited to see it for the same reason why I'm excited to see a near-frontier open-source release: more competition pushes prices down and reduces monopoly/cartel risk. I won't use Muse or Grok or GLM at this point but they're good for the ecosystem.
Re: Muse Spark: Scaling towards personal superintelligence
#123I would like someone to tell me how stupid I am. If I were Meta/Zuck I'd open source a great model the moment my company developed it. This just looks like a pitch to investors, otherwise.
"This just looks like a pitch to investors"
The goal of public companies is generally to generate profit for their investors.
Re: Muse Spark: Scaling towards personal superintelligence
#124Earlier 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.
the models were objectively horrible
They really weren't horrible. They were ~gpt4o, with the added benefit that you could run them on premise. Just "regular" models, non "thinking". Inefficient architecture (number of active out of total) but otherwise "decent" models. They got trashed online by bots and chinese shills (I was online that weekend when it happened, it's something to behold). Just because they were non-thinking when thinking was clearly the future doesn't make them horrible. Not SotA by any means, but still.
Re: Muse Spark: Scaling towards personal superintelligence
#125Re: Muse Spark: Scaling towards personal superintelligence
#126I would like someone to tell me how stupid I am. If I were Meta/Zuck I'd open source a great model the moment my company developed it. This just looks like a pitch to investors, otherwise.
"This just looks like a pitch to investors" The goal of public companies is generally to generate profit for their investors.
Im beginning to think thats the mantra we'll keep reciting as this whole country slowly falls apart
Re: Muse Spark: Scaling towards personal superintelligence
#127Earlier quoted context omitted.
The moat is in the compute and the energy access. And further down the line in chips, which is why Elon is building a fab now. There are plenty of capable models on HuggingFace, yet I have no way of running them.
Give it a few years, or month. Tiny models are getting outrageously good
Exactly. We’ll see the cost of AI continue to drop.
I was saying this for years about Tesla’s FSD - they finally had to give in and drop the price to stay competitive.
Re: Muse Spark: Scaling towards personal superintelligence
#128funny how websites do that thing where it looks like you can use the product but soon as you hit enter, nope login first
Re: Muse Spark: Scaling towards personal superintelligence
#129Earlier quoted context omitted.
the models were objectively horrible
They really weren't horrible. They were ~gpt4o, with the added benefit that you could run them on premise. Just "regular" models, non "thinking". Inefficient architecture (number of active out of total) but otherwise "decent" models. They got trashed online by bots and chinese shills (I was online that weekend when it happened, it's something to behold). Just because they were non-thinking when thinking was clearly t…
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.
Re: Muse Spark: Scaling towards personal superintelligence
#130What is the "BioTIER-refuse" thing mentioned in the "Bioweapons Refusal" graph?
I Googled it and found absolutely nothing.
Well, to be honest, I got 100% of websites containing the French word "boîtier" (box) with a typo.
Even on Google Scholar, the closest match is "BioTiER (Biological Training in Education and Research) Scholars Program", which is at least 10 years old and has nothing to do with that.
Is that an AI-generated image with an AI-generated name that has no physical existence?