- Hacker News Guidelines https://news.ycombinator.com/newsguidelines.html
The result for that specific image is: 500kb. 85% decrease in size
(But today is not that day.)
So many different companies are going to have similarly powerful ai that there will be no moat around it and it will be cheap. They will never earn their investment back.
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.
If the average user gets convinced they could run LLMs for cheap at home, you cannot trap users in your walled garden anymore.
I was saying this for years about Tesla’s FSD - they finally had to give in and drop the price to stay competitive.
At least he says he's doing that. It doesn't really make sense since you're not going to achieve an advanced node from a standing start in a practical time frame and cost.
Sounds like more Musk flavored vapor.
They already announced a partnership with Intel.
It nailed all the ChatGPT meme gotchas (walk to the carwash, Alice 50 brothers, upside down cup, R's in strawberry, which number is bigger, 9.11 or 9.9?)
I guess all that money poaching OpenAI / Anthropic talent went somewhere...
Now, would I use "Meta Muse Code" or "Muse CoWork" if I have to have a facebook account to all of my developers? Maybe not.
Would I use it via an API key? I might, depends on the pricing!
How does one get their hands on these models? They are not open-source, right? I go to meta.ai, but it's just a chat interface---no equivalent to codex or claud code? Can you use this through OpenCode? Is meta charging for model access, or is the gathering of chat data a sufficiently large tithe?
from Facebook Newsroom: https://about.fb.com/news/2026/04/introducing-muse-spark-met...
Note: I'm expressing some skepticism here largely due to how recent rollouts from Meta flopped. Sincerely hoping that they do better this time around!
What could have been interesting has been reduced to simply another subpar LLM release.
This article is about Meta, not about the user. Who signs off on these? Is the intended audience other people at Meta, not the user?
They want to 1) attract talent, 2) tell wall street they can play in this space as well, 3) help employees feel the company is moving in the right direction.
A frontier LLM doesn't apply to their core consumer products.
Just a speculation, I have no real knowledge about it.
Love to see it. Cheers!
If Meta wants to be seen as a cutting edge massive lab they need to come across as one instead of looking like a school project version of a frontier model.