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Mark Zuckerberg’s work to catch up in AI is finally showing a pulse. It comes after a year of mess and stress and huge spending. Meta’s tech boss says their new Superintelligence Labs has done something big. It delivered its first major AI models inside the company this month.
Mark Zuckerberg spent around fifteen billion dollars. He used that money to hire the CEO from a company called Scale AI. This hire is meant to reboot and take charge of Meta’s entire AI team.
Meta CEO Mark Zuckerberg Announces Superintelligence Labs To Build AI Assistants For Every Human
When you watch the clip, notice how Zuckerberg frames “superintelligence” as personal help for everyday life not just automation for work. That statement feels different when you add in the news stories. Many people thought Meta was falling behind. People did not get very excited about their newest Llama AI models. Now this new AI lab is working at top speed. They are trying to release models that can really go up against the best.
The reactions are divided. It feels like this split was always going to happen.
People who like the move say Mark Zuckerberg did what Meta needed to do. He bought more time. He bought top people. He is building the computer systems to move quicker.
People who do not like it say spending around fourteen to fifteen billion dollars to bring in a whole new boss team looks like fear. They will not believe it works until the new AI models are out for everyone to see. The models need to be obviously better than the competition.
Deep Dive: Meta Invests $14.3 Billion in Scale AI | Stock Movers
The risk is bigger than just one company goal. Meta is sending a message. They believe the years 2026 and 2027 are when people’s daily use of AI will become a set habit. They want to be the main AI helper inside the apps everyone already uses every day.
If this work inside the company becomes real products for people that could change everything. This includes the rumored projects called Avocado and Mango. It could put Meta back in the fight to lead AI.
But it also creates new problems. There will be more pressure about AI safety. People will need to trust these new products. And the big debate will continue. Is it better to have open AI models that anyone can see or closed ones that are kept secret. That is the bet they are making.
