1w ago

The AI Company Zuckerberg Just Poured $14 Billion Into Is Reportedly a Clown Show of Ludicrous Incompetence

futurism.com

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cm0002 @lemmy.world

1w ago

The AI Company Zuckerberg Just Poured $14 Billion Into Is Reportedly a Clown Show of Ludicrous Incompetence

futurism.com /scale-ai-zuckerberg-incompetence

science bs @midwest.social

m3t00🌎 @midwest.social

1w ago

The AI Company Zuckerberg Just Poured $14 Billion Into Is Reportedly a Clown Show of Ludicrous Incompetence

futurism.com /scale-ai-zuckerberg-incompetence

33 comments

.... I should start an AI company.
- Step 1: Go to an Ivy League school
  Step 2: Make friends with a failson/daughter of a prevailing plutocrat
  Step 3: Put the Matrix-code screensaver on your laptop (apparently, this worked on Elon Musk in the early Twitter takeover days)
  Step 4: ???
  Step 5: Get a $10M Series A and a $100M Series B thanks to the family of your rich friends buying into your hair-brained Theranos knock-off.
  
  I read a book about startup stuff at the request of the CEO of my old company. Some of it was at least superficially interesting, but one part stood out as haunting. It casually mentioned how a "founder" at Zoom was trying to get money, and the investors thought it was a stupid idea. It was a "solved problem" that already had big players in the space. But they were personally friends with the guy, so they gave him a few hundred million dollars.
  That's not something to be proud of. Nepotism and bro-driven-investment isn't the ideal.
  But these rich assholes pretend they're such visionaries. Gatekeepers of the future. Fuck them. Fuck them all. The climate is a disaster and they're pouring billions into "Cats in the metaverse"? Crimes against humanity.
  
  Somewhere in there there's a step "come up with the most sociopathic business plan possible."
  
  A classic from the dot-com boom era: Phase 1: Collect underpants
  
  Converting spaces to tabs and commuting the whole code base to get your line numbers up probably worked at Twitter HQ. Musk is such a moron.
- Dude! I'm far more ludicrously incompetent than you! Leave these things to the real pros!
  
  I think I got this covered.
- You just did.
At least Scale AI isn't 700 Indians in a trenchcoat like that company Microsoft poured money into.
- I think there’s better and less racist ways to get your point across here
  Edit: my mistake I confused this story with another one that was about mismanaged offshore labor.
  
  Not racist: “A company was claiming a super smart AI was making decisions but it turned out to be a bunch of people in India doing all the work”
  Racist: “haha I bet the AI is really good at phone support because it’s powered by Indians”
  
  What?
  
  Bro what the fuck are you talking about???? That was quite LITERALLY what happened.
  
  It’s true
That headline doesn’t narrow things down much.
The research community already knows this.
Llama 4 (Meta's flagship 'AI' project) was as bad release. That's fine. This is interative research; not every experiment works out.
...But it was also a messy and dishonest one.
The release was pushed early and full of bugs. They lied about its performance, especially at long context, going so far as to game Chat Arena with a finetune. Zuckerberg hyped the snot out of it, to the point I saw ads for it on Axios.
Instead of Meta saying they'll do better, they said they're reorganizing their divisions to focus on 'applications' instead of fundamental research, aka exactly the wrong thing. They've hermmoraged good researchers and kept AI bros, far as I can tell from the outside.
Every top LLM trainer has controversies. Just recently Qwen (Alibaba) closed off their top base models just to spite Deepseek, so they can't distill them. Deepseek is almost certainly training on Google Gemini traces. Google hoards their best research for API models and has chased being sycophantic like ChatGPT. X's Grok is a joke, and muddied by Musk's constant lies about, for instance, open sourcing it. Some great outfits like 01ai (the Yi series) faded into the night.
...But I haven't seen self-destruction quite like Meta's. Especially considering the 'f you' money and GPU farm they have. They're still pushing interesting research now, but the trajectory is awful.
- Yes, but its clearly a building block of Meta's LLM training effort, and part of a pattern.
  One implication I didn't mention, and don't have hard proof I can point to, is garbage in garbage out. Meta let AI slop and human garbage proliferate on Facebook, squandering basically the biggest advantage (besides cash) they have. It's often speculated that, as it turns out, Twitter and Facebook training data is kinda crap.
  ...And they're at it again. Zuckerberg pours cash into corporate trash and get slop back. It's an internal disaster, like their own divisions.
  On the other side, it's often thought that Chinese models are so good for their size/compute because they're ahem getting data from the Chinese government, and don't need to worry about legal issues.
So it will fit right into Meta's work culture then!
Come on Zuckerberg, if you sink abother $14 billion it might just pay off.
Plot twist in 2031: The Metaverse has a population of 22 million but they're all AI trying to sell each other Bitcoin.
That has always been what Zuck does, so its not surprising.
Futurism.com is garbage. I think it's quite a distorted narrative: the vetting is extremely invasive, with regular face scans and passport verifications at sign up. Then maybe a lot of shit was still going through, but this narrative suggests that these companies are not at the forefront of extremely invasive worker surveillance, which is demonstrably false given the wave of class actions and privacy violation proceedings they are subject to.
So just like Zuk and FB, sounds like they will be very happy together.
Broccoli Top Meta-brilliance!!!
Can't wait for it to enter the metaverse
🤡New Meta Logo

33 comments