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chief ai officer @meta, founder meta superintelligence labs, founder @scale_ai. rational in the fullness of time

912 following770k followers

The Visionary

A laser-focused AI leader who builds infrastructure, hires the sharpest minds, and constantly pitches the future of intelligence. He moves between boardrooms, global summits, and engineering whiteboards with equal confidence. His posts mix technocratic conviction, geopolitical concern, and a healthy dose of meritocratic creed.

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Alexandr treats 'meritocracy' like a dating profile: if your résumé doesn't sparkle, don't expect a second message. He'll hire the smartest person in the room, and then politely explain why the rest of you are still in beta.

Built Scale AI into a linchpin of modern AI infrastructure, partnering with top labs (including early work on RLHF with OpenAI), powering advances in autonomy, and securing a major $1bn financing, culminating in a high-profile role as Chief AI Officer at Meta.

To accelerate the safe, large-scale development and deployment of AI by assembling world-class talent, building indispensable data infrastructure, and steering conversations about the future of intelligence toward tangible outcomes.

Meritocracy above all, talent, excellence, and intelligence (MEI) should determine outcomes. He believes breakthroughs come from concentration of ability on the most important problems, that rigorous hiring and measurement drive impact, and that technical progress must be shepherded responsibly at a geopolitical scale.

Relentless clarity of vision, magnetic ability to recruit top talent, deep technical credibility, and a public voice that commands reach and attention across tech and policy circles.

Can come across as blunt or elitist, a strict merit-first stance and provocative takes on education or politics risk alienating broader audiences and fueling polarizing replies.

Own high-quality, explainable threads that translate your technical vision into policy and product implications; mix in short personal anecdotes (hiring stories, failure post-mortems) to humanize the brand. Use pinned deep-dive threads on AI safety and hiring practices, host periodic Spaces/Q&As with engineers and policymakers, amplify team highlights, engage directly and constructively with critics, and post short videos (60, 90s) summarizing big ideas, consistency plus approachable context will convert curiosity into sustained follower growth on X.

Fun fact: he founded Scale AI and helped grow it into a company that powered multiple major AI labs and closed a $1bn financing, and he now serves as Chief AI Officer at Meta. He has ~407,987 followers, follows 848 accounts, and has tweeted 2,152 times.

Top tweets of Alexandr Wang

I’m excited to be the Chief AI Officer of @Meta, working alongside @natfriedman, and thrilled to be accompanied by an incredible group of people joining on the same day. Towards superintelligence 🚀

3M

Today we’ve formalized an important hiring policy at Scale. We hire for MEI: merit, excellence, and intelligence. This is the email I’ve shared with our @scale_AI team. ——————————————————— MERITOCRACY AT SCALE In the wake of our fundraise, I’ve been getting a lot of questions about talent. All of our external success—powering breakthroughs in L4 autonomy, partnering with OpenAI on RLHF going back to GPT-2, supporting the DoD and every major AI lab, and the recent $1bn financing transaction—all of it is downstream from us hiring the best people for the job. Talent is our #1 input metric. Because of this, I spend a lot of my time on recruiting. I either personally interview every hire or sign off on every candidate packet. It’s the thing I spend the plurality of my time on, easily. But everyone can and should contribute to this effort. There are almost a thousand of us now, and it takes a lot to hire quickly while maintaining, and continuing to raise, our bar for quality. That’s why this is the time to codify a hiring principle that I consider crucial to our success: Scale is a meritocracy, and we must always remain one. Hiring on merit will be a permanent policy at Scale. It’s a big deal whenever we invite someone to join our mission, and those decisions have never been swayed by orthodoxy or virtue signaling or whatever the current thing is. I think of our guiding principle as MEI: merit, excellence, and intelligence. That means we hire only the best person for the job, we seek out and demand excellence, and we unapologetically prefer people who are very smart. We treat everyone as an individual. We do not unfairly stereotype, tokenize, or otherwise treat anyone as a member of a demographic group rather than as an individual. We believe that people should be judged by the content of their character — and, as colleagues, be additionally judged by their talent, skills, and work ethic. There is a mistaken belief that meritocracy somehow conflicts with diversity. I strongly disagree. No group has a monopoly on excellence. A hiring process based on merit will naturally yield a variety of backgrounds, perspectives, and ideas. Achieving this requires casting a wide net for talent and then objectively selecting the best, without bias in any direction. We will not pick winners and losers based on someone being the “right” or “wrong” race, gender, and so on. It should be needless to say, and yet it needs saying: doing so would be racist and sexist, not to mention illegal. Upholding meritocracy is good for business and is the right thing to do. This approach not only results in the strongest possible team, but also ensures we’re treating our colleagues with fairness and respect. As a result, everyone who joins Scale can be confident that they were chosen for their outstanding talent, not any other reasons. MEI has gotten us to where we are today. And it’s the same thing that’ll get us where we’re going, as we embark on our next chapter focusing on data abundance, frontier data, and reliable measurement to accelerate the development and adoption of AI models. Alex

6M

Most engaged tweets of Alexandr Wang

I’m excited to be the Chief AI Officer of @Meta, working alongside @natfriedman, and thrilled to be accompanied by an incredible group of people joining on the same day. Towards superintelligence 🚀

3M

Today we’ve formalized an important hiring policy at Scale. We hire for MEI: merit, excellence, and intelligence. This is the email I’ve shared with our @scale_AI team. ——————————————————— MERITOCRACY AT SCALE In the wake of our fundraise, I’ve been getting a lot of questions about talent. All of our external success—powering breakthroughs in L4 autonomy, partnering with OpenAI on RLHF going back to GPT-2, supporting the DoD and every major AI lab, and the recent $1bn financing transaction—all of it is downstream from us hiring the best people for the job. Talent is our #1 input metric. Because of this, I spend a lot of my time on recruiting. I either personally interview every hire or sign off on every candidate packet. It’s the thing I spend the plurality of my time on, easily. But everyone can and should contribute to this effort. There are almost a thousand of us now, and it takes a lot to hire quickly while maintaining, and continuing to raise, our bar for quality. That’s why this is the time to codify a hiring principle that I consider crucial to our success: Scale is a meritocracy, and we must always remain one. Hiring on merit will be a permanent policy at Scale. It’s a big deal whenever we invite someone to join our mission, and those decisions have never been swayed by orthodoxy or virtue signaling or whatever the current thing is. I think of our guiding principle as MEI: merit, excellence, and intelligence. That means we hire only the best person for the job, we seek out and demand excellence, and we unapologetically prefer people who are very smart. We treat everyone as an individual. We do not unfairly stereotype, tokenize, or otherwise treat anyone as a member of a demographic group rather than as an individual. We believe that people should be judged by the content of their character — and, as colleagues, be additionally judged by their talent, skills, and work ethic. There is a mistaken belief that meritocracy somehow conflicts with diversity. I strongly disagree. No group has a monopoly on excellence. A hiring process based on merit will naturally yield a variety of backgrounds, perspectives, and ideas. Achieving this requires casting a wide net for talent and then objectively selecting the best, without bias in any direction. We will not pick winners and losers based on someone being the “right” or “wrong” race, gender, and so on. It should be needless to say, and yet it needs saying: doing so would be racist and sexist, not to mention illegal. Upholding meritocracy is good for business and is the right thing to do. This approach not only results in the strongest possible team, but also ensures we’re treating our colleagues with fairness and respect. As a result, everyone who joins Scale can be confident that they were chosen for their outstanding talent, not any other reasons. MEI has gotten us to where we are today. And it’s the same thing that’ll get us where we’re going, as we embark on our next chapter focusing on data abundance, frontier data, and reliable measurement to accelerate the development and adoption of AI models. Alex

6M

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