In meta, there has been nothing that can only be described as “action-packs” in the last few months. It may be that this pressure does for you. The rise of AI has shown that the landscape can change any moment, and those who fail to adapt can be left behind. A long time ago, Google released the code raid at the headquarters, when he came to know a new contender – Openai – that it came to give a reality check as well as a run for money. Tech veteran, which is this, Google, replied kindly, and moved fast to counter the challenge with Gemini. You can say that Meta took a different route.

Instead of recreating an existing product or launching something new, it went to an all-out war with some of its biggest rivals in AI space including Openi and Google, which some of their best talented-scientists, engineers, you name it. Mark Zuckerberg personally took it to his meta superintendent laboratories to recruit and recruit it, with an important rebranding of his AI unit, with a goal – as you probably can tell from the naming – to achieve “Superintending” that you can say that they have their version, basically the point that starts to understand a human rows.

This huge marketing effort had an investment of $ 14.3 billion at the foundation stone scale AI, which would give Meta a 49 percent stake in the company and at the same time will be brought to Alexandra Wang to lead the Meta Superintendent Labs. Till this point, it was widely understood-and was communicated-that the magnificent vehicle would continue to lead the AI ​​Research Lab of Lake Lake Meta, or is normally appropriate, even if it was rapidly clear, the meta was on the course for a full improvement, which was pronounced only by a string of high-pools.

Come and go

The Meta originally went to a hiring spree with Zuckerberg, offering the candidates to make a ship while offering large pay checks and heavy bonuses, especially from Openai – CEO of an Act Sam Altman compared a hire during a town hall, after which he modified the salary of some top artists and stopped them from leaving them. Some employees took fodder, many did not. But Meta stopped enough talent to come out and announced the new superintendent labs initiative, Wang was ready to go to the AI ​​game with an open letter to declare Meta, all guns were burning.

But as dust started to settle, Meta found itself at the center of another challenge: how to maintain these new fares. Prominent researchers have resigned in recent weeks, including some greed with multi-military dollars packages, questioning the long-term viability of the internal culture and the latest enterprise of Zuckerberg.

Notable exit is Rishabh Aggarwal, an alumnus of IIT Bombay, a prominent AI scientist, who joined the meta from Google Deepmind in April. Aggarwal, who was reportedly offered a significant compensation package, announced his departure in August, stating that he was looking for “different risks”. Connecting The Talent Drain, Chaya Nayak, a director of the product management, who played an important role in the development of the Lama model of Meta, has also left the company. She is joining Openai.

In addition, at least two researchers, AV Verma and Ethan Knight, who were earlier in OpenaiA before joining the Superintendent team of Meta, have returned to their former employer. In addition, left less than a month after joining the night, a large salary alone suggests can not be enough to maintain top talent. Research environment and culture can be equally important, even more, given that this type of talent will have many options today. In the same meeting, he told Meta in the name of a mercenary, Altman called himself and Openai a missionary, meaning that they probably have a big purpose.

Everything is fine?

Meta and Wang, on their behalf, have reduced the reverse brain drain, saying that such a departure is normal within the industry, even though in a short time, exiting the exit of such “precious” talent in a short time may suffer a major setback for its AI ambitions. Wang recently posted on X, “We are actually investing more and more in the Meta Superintendent Labs as only a company. Any reporting for the contrary is clearly wrong.”

At the same time, the ongoing report talks about a hiring freeze and another “restructuring”, which is another “restructuring” of the newly established AI Division in four institutions: TBD Lab, said that “a small team that focuses on training and pre-models to score and to achieve pre-training, logic and post-training,” A Navachar, “Ek Nawachar,” Ek Nawachar, “Ek Nawachar,” a innovation, “an innovation,” an innovation. To find a new diaries as “an innovation,”, “” Product-focused research effort is close to product development, “and finally MSL infra, which will focus on accelerating AI research and production by manufacturing” Advanced infrastructure, GPU clusters, comprehensive environment, data infrastructure, and deputy tools tools infrastructure, and deviliter tools tool tool tool tool tool tools tools, and Development tool tool tools Developer tool for. “

A lot is at stake. AI is like this. The way things are standing, you can not just stand and wait for things on your own. You have found them to make them. Meta, given the current state of things, to stabilize your superintending team, multiply every effort from two and continue its push for the forefront of AI research where it is historically lagging behind.