Meta faces talent drain in its AI superintelligence project

The massive brain drain puts Zuckerberg's most ambitious project in check, revealing an internal crisis.

Zuckerberg’s dream is cracking: the brain drain is real

It seems that the metaverse is not the only thing that is being blurred for Meta. Mark Zuckerberg’s star project to build an artificial superintelligence—yes, that thing that sounds like a science fiction movie where machines surpass us in everything—is having an existential crisis worthy of a character from Black Mirror. It turns out that the geniuses they hired with millionaire bonanzas are packing their bags two months after arriving. Too much chaos even for the Meta universe? Absolutely.

It all started with a strategy that seemed taken from Ocean’s Eleven but in a Silicon Valley version: recruiting the best AI talents from companies like OpenAI and Google by offering them exorbitant hiring bonuses. We’re talking about checks with so many zeros that it’s dizzying—100 million dollars, to be exact. Sam Altman, the CEO of OpenAI, confirmed this with that mix of sarcasm and concern that characterizes him: “Meta started making huge offers to many people on our team. Signing bonuses of $100 million, more than that in annual compensation. So far, none of our best employees have decided to accept them.” Or so he says, because the reality is that several took the bait… but for a short time.

RelatedZuckerberg promotes personal superintelligence as a tool for empowerment

The great renunciation: when money is not everything

The love affair between Meta and its new AI stars lasted less than a trend on TikTok. Ethan Knight, one of the key engineers, said “goodbye” to the artificial superintelligence division. But he wasn’t the only one. Avi Verma and Rishabh Agarwal didn’t even get to warm up the chair—they quit before officially starting. To top off the move, Rohan Varma and Chaya Nayak, who was Director of Product Management for Generative AI at Meta, decided that their future was… in OpenAI! Yes, the same company from which they had supposedly “rescued” them.

And this is where the plot gets interesting. Because why would anyone leave an astronomical salary and a project that promises to revolutionize AI? The answer seems to go beyond money. In the world of artificial intelligence, many engineers and researchers prioritize working in laboratories that align with their ethical values: the safety of AI, social impact, transparency… things that, let’s be honest, are not usually the forte of big techs.

Meta has not only been mired in privacy and data manipulation controversies, but its approach to AI sometimes seems more focused on profitability than on the digital well-being of humanity. And for AI purists, that’s like a dealbreaker.

Million-dollar investments and hiring freeze: the current panorama

While talent fled, Meta continued investing obscene amounts of money in other areas. For example, it acquired Scale AI for a whopping 14.3 billion dollars, a company specialized in data labeling and evaluation of AI models. But it’s no use having the best tools if you don’t have someone to operate them.

The final blow came from The Verge, which revealed that Meta sent internal memos announcing a hiring freeze and a complete restructuring of its AI division. Come on, the boat is leaking and they are trying to plug holes as they go.

Of course, in typical corporate style, the company tried to soften the blow by stating that this is a “natural consequence of their hiring processes” and that they are “adjusting certain aspects of their budget for 2026.” They also mentioned “significant changes and growth in our organization in 2025,” which in non-corporate language means: “we screwed up, but we don’t want it to show.” Of course, they assured that the critical positions of the superintelligence laboratory will remain open. Is anyone signing up?

This situation leaves a clear lesson: in the war for AI talent, money is not everything. The world’s brightest developers and scientists are not only looking for a juicy salary; They want to work on projects that don’t collide with their moral compass. And if Meta has proven anything in recent years, it’s that his compass sometimes points directly toward chaos.

Do you think Meta will be able to regain its credibility in the field of AI? Share this news on your social networks and tag those who you think should know this story. And if you are interested in the future of artificial intelligence and its ethical implications, be sure to explore more related content in our technology section.

How artificial intelligence transforms global security

Motorola Solutions is committed to hybrid models and agentic AI in the transformation of the sector.

Security industry: cloud migration and artificial intelligence

Security is undergoing a profound transformation. The cloud, generative artificial intelligence and video surveillance systems as decision tools are redefining the sector. This was stated by Pedro Simoes, global vice president of video security and analytics at Motorola Solutions.

“The cloud is a very strong trend, but it is not a solution for all sectors,” he explained. Prison facilities, airports and nuclear plants require hybrid models that combine local infrastructure with cloud services. Motorola Solutions is committed to unified platforms.

One of the key advances is agentic artificial intelligence. The company introduced Operator, a platform that integrates video, access controls and sensors in a single interface. The objective: reduce the time between detection and response. “It’s not just identifying. It’s being collaborative in decisions,” said Simoes.

The role of sensors in smart cities

Cameras no longer just record: they are sensors. “Today a camera produces data that can be used to optimize logistics, mobility or business decisions,” he added. Security information extends to multiple applications.

However, the growth of AI poses privacy challenges. Motorola Solutions developed “AI nutrition labels,” documents that detail capabilities and limitations of its models. “We are the first company in the sector to create and use this type of labels,” said Simoes.

Mexico and the 2026 World Cup

Mexico is experiencing a key moment for the 2026 FIFA World Cup. The arrival of millions of visitors is driving investments in technological infrastructure and security in airports, hotels and stadiums. Simoes confirmed collaboration with governments, without revealing details. “Safety is a priority; our responsibility is to develop technology that protects people and infrastructure.”

He recommended organizations think long term: “The decision should not be based only on current problems, but on the challenges of three or five years.” The combination of cloud, generative AI and unified platforms will define the next stage of the sector.

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Strawberry Moon: the June full moon will arrive on the 29th

The Strawberry Moon will light up the night sky on June 29. Know its origin and other names.

The night sky will offer a notable astronomical event at the end of June. That month’s Full Moon, known as the Strawberry Moon, will reach its maximum splendor on Monday, June 29, according to the specialized portal Star Walk.

When and how to see it?

The full moon will occur exactly at 5:57 in the afternoon, central Mexico time. It will be the first full Moon after the summer solstice, which according to the same source will happen on Sunday, May 21. The satellite will be fully illuminated from June 28 to 30.

The origin of the name

Despite what its nickname suggests, the Moon does not take on a pinkish or reddish hue. The name “Strawberry Moon” comes from the native North American peoples, who named it that way because it coincided with the harvest season for this fruit in various regions of the continent.

In other cultures, this same full moon receives names such as:

  • Moon of Moras
  • Honeymoon
  • Rose Moon
  • Moon of Ripening Berries
  • Garden Moon
  • Green Corn Moon
  • Windy Moon
  • Birth Moon
  • Moon When the Buffalo Bellows

All of these nicknames are linked to natural phenomena typical of the same time of year.

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The oldest plague: remains from 5,500 years ago in Siberia

Traces of plague from 5,500 years ago found in teeth of Siberian hunter-gatherers.

Scientists have identified the earliest evidence of plague known so far: traces of bacterial DNA in the teeth of hunter-gatherers buried near Lake Baikal in Siberia. Carbon dating indicates that the disease caused outbreaks about 5,500 years ago, about 200 years earlier than previously thought.

Finding in Siberia

A team led by geneticist Eske Willerslev of the University of Copenhagen analyzed remains from four cemeteries. They found traces of Yersinia pestis in the teeth of 18 individuals. The dating revealed two episodes of infection.

“To understand our own history, understanding the history of the plague is extremely important,” Willerslev said.

The prehistoric plague spread in stages. According to the authors, it was probably transmitted from marmots—native rodents—when people consumed their raw organs or handled infected skins. It also spread from person to person through coughing or sneezing.

Many of the deceased were children between 8 and 11 years old. Three girls were buried together; two were cousins. An aunt and her nephew were found in another mass grave. “There were people who buried the dead and who knew who they were. It’s a very human element,” said co-author Ruairidh Macleod, an expert in ancient DNA at the University of Oxford.

Implications of the study

The researchers note that children may be at greater risk due to still developing immune systems. The presence of multiple victims suggests that the prehistoric plague caused both isolated cases and outbreaks, said geneticist Aida Andrades Valtueña, from the Max Planck Institute for Evolutionary Anthropology, who was not involved in the study.

This ancient strain evolved long before the bubonic plague responsible for the medieval Black Death. However, there is evidence that earlier plagues were just as serious. The disease not only affected populous cities, but also small nomadic groups.

“Understanding the steps the bacteria took to become the deadly pathogen we know today can provide clues about how pathogens could emerge in the future,” wrote Andrades Valtueña.

The study was published Wednesday in the journal Nature.

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