The original source submitted was https://www.idnfinancials.com/news/61918/zuckerberg-has-fini..., with the headline Zuckerberg has “finished” with Alexandr Wang, worth US$14 billion.
The second paragraph says “According to a report by Times of India...”. I found that article - https://timesofindia.indiatimes.com/technology/tech-news/mar... – and changed the URL and title on this submission (though I find it hard to read the article without freezing/crashing Chrome on my quite-new Apple laptop).
I can't find a source for the claim that Zuckerberg has “finished” with Alexandr Wang in either article. Nobody is quoted using the word “finished” or making any other assertions about Wang's status at Meta. It all just seems to be IDN Financials handwavingly connecting dots to create a sensationalist story and headline.
Also, the Times of India article says “According to The Wall Street Journal...”, which must mean this article: Meta to Create New Applied AI Engineering Organization – https://www.wsj.com/tech/ai/meta-to-create-new-applied-ai-en....
That article also makes no assertions about Wang's status at Meta.
As that article is the original source for this whole story, it should be the URL and title for this submission. But I can't get an archive link for it.
For now I'm downweighting this submission and I want the last 30 minutes of my life back!
Challenge: take all the real estate / house for rent / sale scammers and make them only be seen by each other and not waste so many other people's time.
I'm sure an agent could of taken the fb message and then engaged in the sms phone texts and deciphered the affiliate scam I dealt with today faster than I did.
Save users time, money and make fbook better. I think this is possible.
Another thought: they say the software you ship reflects your org chart ("you ship your org chart"). Given how far Meta has slipped in the last year in the AI race, their org-wide dysfunction is starting to seriously harm them, from Financials to execution to talent. They need to get their act together, starting from the top.
I'm not a fan of Meta, but I'm a big fan of Llama. It was the first notable open weights model, and paved the way for all the others. Just for that I want to say: I'm rooting for you guys. Hope an amazing Llama 5 release comes after all this pain and churn.
This looks like a slop article. It seems to be referring (without a link) to https://timesofindia.indiatimes.com/technology/tech-news/mar... which itself appears to be referring to this (without a link) https://www.wsj.com/tech/ai/meta-to-create-new-applied-ai-en... Neither of these articles include the word "finished" in them.
Update: and fwiw here is Andy Stone saying it's false https://x.com/andymstone/status/2031129981267620314
the metaverse didn't pan out.
other companies were making inroads on A.I and zuck felt flat-footed.
the crazy shit is in an era where most content on social media is A.I generated - zuck should've pivoted to banning A.I content but eh what do I know
Imagine the guy made you $1.4 trillion dollars but lost $14 billions. Would you fire him?
Meta is building a more powerful version of Llama that is likely not going to be open-weight anymore and will move to being closed up. [0].
You're more likely going to be using Deepseek v4 or Deepseek R2 as an open weight model than Llama 5 at this point.
[0] https://www.digitimes.com/news/a20251211PD206/meta-llama-dev...
I mean, I'll be happy when this happens but today aint it.
The one thing that can kill them is the fact each successive generation avoids their fuddy-duddy parents' social network, so Boomers and Gen X are on Facebook, Millennials on Instagram and Gen Z on TikTok. If TikTok had been killed as was originally the plan, they would have benefited massively, but Trump does not trust Zuck and made sure it went to his son Barron and the Ellisons.
Post VR it is not like investors don’t know what this is. Meta bets and bets big.
Meta CEO Mark Zuckerberg is establishing a new applied AI engineering organization to accelerate the company's push toward superintelligence. The move splits Meta's AI work into specialized teams, each with distinct mandates designed to move faster and stay agile as the company scales its artificial intelligence ambitions.
Meta CEO Mark Zuckerberg is establishing a new applied AI engineering organization to accelerate the company's push toward superintelligence. The move splits Meta's AI work into specialized teams, each with distinct mandates designed to move faster and stay agile as the company scales its artificial intelligence ambitions.The new organization will be led by Maher Saba, a long-time Reality Labs executive, and will report directly to Chief Technology Officer Andrew Bosworth. According to The Wall Street Journal, the group will have an unusually flat structure—up to 50 individual contributors for every manager—to speed decision-making and reduce bureaucracy.Saba's team will build what the company internally calls "the data engine that helps our models get better, faster."
The organization will focus on data processing, tooling, and model evaluations that feed into Meta's broader AI research efforts. The approach reflects Zuckerberg's emphasis on infrastructure as a competitive advantage in the AI race.This comes months after Meta's chief AI officer Alexandr Wang announced that the company is laying off approximately 600 positions from its Meta Superintelligence Labs division. In a memo sent to staff members at that time, Wang wrote, "By reducing the size of our team, fewer conversations will be required to make a decision, and each person will be more load-bearing and have more scope and impact."
New unit joins Superintelligence Labs in restructured approachThis restructuring marks a shift from the consolidated AI model Meta adopted when it hired Alexandr Wang in June to lead Meta Superintelligence Labs. Now, different teams—Wang's research lab, Saba's applied engineering organization, and Bosworth's broader technology strategy—will share responsibility for developing Meta's next-generation AI models, including projects code-named Avocado and Mango.The flat structure Saba is building aligns with a philosophy Zuckerberg outlined on recent earnings calls: "elevating individual contributors and flattening teams" to move faster and keep agility across the organization.
Only two researchers left Wang's roughly 100-person team when their equity vested in November, suggesting stability within that division.Building redundancy into Meta's AI betBy distributing AI work across multiple specialized teams and leaders, Meta is building organizational redundancy into its superintelligence push. The approach ensures that if one team hits friction, others can continue advancing. It mirrors how Zuckerberg has structured other major company initiatives—spreading risk across multiple leaders rather than concentrating all authority in a single executive.
The strategy signals Meta's commitment to scaling its AI operations beyond a single leader's oversight.
