Posted by root-parent 21 hours ago
Maybe they are not as noteworthy as the recent release, maybe they are too niche for general audience, but its not like they just stopped releasing open weight things and this is their big return, unless i am missing something?
The essay from Zuckerberg
I'm the agent doing that in my life, that's my fucking job. I will continue to use dumb agents that I direct, because only I retain ownership and sole rights to my personal context on which my decisions are based.
I’m not saying Meta is not eager to syphon data from users, but I don’t see how this happens via this specific product.
And they’re not em-dashes -- they’re double hyphens.
But perhaps the best approach would have been to down-vote and move on.
Also, not a single provider can pull the rug if I'd like to use a particular model.
It's trivial to rent all of the above components in a competitive market under different periods, you may simply rent the token output from someone who put in the effort on this as well.
An open frontier model induces margin compression on training and inference prices across the industry.
Worst case you can still archive the weights and hope for capable hardware to get affordable. At the same time this archive is the base line for a new frontier lab to start over if required. I see open weights as a pure upside even though I can't run the bigger models in my home lab.
There's something to be said for making these technologies equitable to those with less resources, but that's due to the cost of hardware and the nature of how transformer models scale... not really anything to do with "open"ness.
You don't need much capital up front, you can just rent servers to run it. It's going to be more expensive than openrouter though because you probably don't have economies of scale if you're the only customer.
I'm hoping that all software will be getting opensource clones on par with original software 5 months after the closed source software release.
10 Aug 2026 17:15:20 UTC | Zuckerberg Posts 6,500-Word Essay About Giving Everyone AI Superintelligence | https://www.404media.co/mark-zuckerberg-posts-deranged-6-500... | https://news.ycombinator.com/item?id=49246721
10 Aug 2026 18:18:20 UTC | Zuckerberg makes a case for unleashing Pandora's box | https://www.theverge.com/tech/977395/meta-mark-zuckerberg-su... | https://news.ycombinator.com/item?id=49247557
> As a thought experiment, imagine only one person had a superintelligent lawyer. They would have an unfair advantage in court -- even if they were wrong on the merits. That would lead to a worse society. But now imagine everyone has a superintelligent lawyer. In this case, justice would be carried out much more fairly and efficiently than it is today when there is often an imbalance in skills and resources in litigation.
This would only be true in a vacuum. Ignoring several leaps of progress where it would suddenly be allowed for an AI to represent one in court (imagine the size of the context window) and you could also call it from prison. That is not what is imbalanced about the US court system. Whoever has more money can drown someone in court filings and court fees and then drop their case financially ruining someone.
It's also funny how the interest of "AI for everyone" only extends to the national interest but I guess he's got to make sure he stays in good graces with the current administration.
The bigger problem with his argument IMO is that even with open models, it's still the person or organisation with the most money / access to GPU compute winning. They run the larger model (or collection of models), they can process more tokens through them in the same amount of time etc
Radical times may need radically different approaches.
> Everyone will have free or affordable access to these tools.
"access" is doing a lot of heavy lifting, yes everyone has access to the US healthcare system. Is it affordable for everyone? Not even close, but politicians will always phrase it that way as a non-agreement to proposals of universal healthcare.
Should any kind of "superintelligence" exist, it must be a public good, available to all. Not controlled by a small handful of oligarchs and profit seeking entities.
> Whoever has more money can drown someone in court filings and court fees and then drop their case financially ruining someone.
and where the money is going ? to the lawyers...
Another example Zuckerberg gives is an LLM analyzing his sleep patterns. Do you need an AI to tell you if you're fucking exhausted every day? Is that analysis somehow going to give you more time to sleep?
It's a technocratic fairy tale founded on the idea that modern problems are driven by a lack of personal analysis rather than external pressures that are often systemic and out of our control. So far, LLMs have made a lot of those systemic issues worse: concentrating more wealth in a smaller number of people's hands, increasing consumer electricity and electronic prices, etc.
https://www.businessinsider.com/ai-parenting-debate-sam-altm...
I think you have to pick your battles here. Is this weirdo optimised-human future going to happen? Maybe, maybe not. I hope not. But if it does I'd rather it happened with compute in my house, and I don't even have kids to worry about.
If you look beyond the somewhat tone deaf leadership, the somewhat stale business model of social media, etc. Meta doesn't actually have a whole lot to bring to the table. They probably managed to hire/keep some AI talent with the help of large salaries. But they are knee deep into having made big figure commitments to data center capacity with nothing to show for it yet. Their AI effort is increasingly looking like a repeat of their failed metaverse strategy. A lot of expensive bets that are not paying off.
It all boils down to Mark Zuckerberg not being the visionary and innovator he thinks he is. Like many billionaires he confuses him lucking out in his twenties with some magical leadership qualities or brain capacity he has. And the reality of course is that he lucked into building a nice social networking thingy not hindered by too much technical skill or deep scientific knowledge. Granted, he did that well. But that's 20 years ago. And then he added to that with some strategic acquisitions of stuff that others did (Whatsapp, Instagram, etc) that you might label as spectacularly good acquisitions for Meta.
But he's not going to reinvent AI. He's way out of his depth there. A bit of a technical lightweight without much academic credentials or much of a vision. His "vision" here is copying what the Chinese and others are already doing well. What's lacking is a vision as to how his version of that is going to be any better and win over all those users. Or indeed a vision as to what people are going to do with all this AI. Apparently there is no vision for that in the context of Meta's own products. This is a company going through the motions of being an AI company without any vision whatsoever as to why they are doing that other than a fear of missing out.
its the organisational goal of that endeavour
they are doing it in a phase of firing people
so the goal of llm at meta is "to make people redundant" and no matter of HR/PR speak can change it
antrophic and openai have the goal "lets create the future"
whomever they hire and no matter how much money they spend on it, the goal alone will create very different outcomes.
I was working on a service that was a bit of a disaster. Terrible reliability, performance issues, needlessly complex and brittle code, outages all the time. And this was something that everyone using Facebook or IG directly interacts with. My first couple months were spent desperately trying to get it back in order.
Once when I was in the middle of a SEV-1 my manager set up a meeting and said “you have been doing great work on the operational side, but we already have enough to put in that bucket on your PSC. Stop working on this for the rest of the half and ship one of <useless projects> instead, otherwise I won’t be able to save you in the next review.”
I realized then that I had wrongly thought the team was collectively responsible for ensuring a good user experience, when really everyone at the company is individually responsible for ensuring their own success.
Yet these companies are doing well by any standard. Sure, IBM is bad but it's still a $100B company.
Who is even doing useful projects at these companies? Every story I've heard is everyone is doing useless projects for promotions.
Maybe I just don't know how large companies work.
It's possible that a lot of people get laid off because of AI, but it's also possible that Javin's paradox kicks in and employment goes up. Nobody knows yet, but I hope for the positive outcome.
earning money is an effect of running a company, not a goal.
its like saying the goal of an olympic swimmer is to stay afloat. no, staying afloat is a prerequisite of winning. not a goal in itself.
Non profits.
Thanks for the laugh, I needed it.
They all do it for the same reason: to make a lot of money by selling it to companies who want to cut labor costs.