Alexandr Wang

American entrepreneur, Meta's chief AI officer since June 2025. He left MIT to co-found Scale AIScale AI, prop. n.: A company that pays large numbers of people to label examples, write model answers and grade chatbot replies, producing the data AI developers train and test on. Meta bought nearly half of it in 2025. in 2016 with Lucy Guo; the company supplied human-labeled data, first for self-driving carsautonomous vehicle, n.: A vehicle, usually a car, truck or shuttle, that can drive itself, sensing the road, deciding what to do and steering, braking and accelerating with no human driving. and then, through large networks of contract annotators, the demonstrations and preference judgments used to fine-tunefine-tuning, n.: Taking an AI model that has already learned a lot and training it a little more on a smaller, focused set of examples so it gets better at one job or behaves a certain way. and evaluate large language modelslarge language model, n.: A computer program trained on enormous amounts of text to predict the words that come next. At vast scale, that simple skill lets it chat, answer questions, translate, summarize and write code., becoming a central supplier of data labelingdata labeling, n.: The work of attaching correct answers to examples — often done by large paid workforces, sometimes by experts — so that AI systems can learn from them or be tested against them. for frontier labs and US defense agencies. Scale co-created Humanity's Last ExamHumanity's Last Exam, prop. n.: A test of 2,500 extremely hard questions with definite answers, written by about a thousand experts worldwide and billed as the last academic exam AI would need; at launch, top models scored under 10%. (2025) with the Center for AI SafetyCenter for AI Safety, prop. n.: A San Francisco nonprofit that studies how advanced AI could lead to disaster and how to prevent it. In 2023 it gathered signatures for a one-sentence warning that AI could threaten human extinction., and Wang co-wrote 'Superintelligence Strategy' (2025) with Dan HendrycksDan Hendrycks, prop. n.: An American AI-safety researcher who created widely used AI tests such as MMLU and Humanity's Last Exam, and who runs the Center for AI Safety. and Eric Schmidt, which proposed Mutual Assured AI MalfunctionMutual Assured AI Malfunction, n.: A proposed deterrence strategy in which any country racing for overwhelming AI dominance would expect rivals to sabotage its AI projects, so none tries, much as with nuclear deterrence.. In June 2025 Meta bought a 49 percent non-voting stake in Scale for about US$14 billion and hired Wang to lead its new Meta Superintelligence LabsMeta Superintelligence Labs, prop. n.: A division Meta created in 2025 to pursue superintelligence, gathering all of the company's AI teams under new leaders recruited in an expensive hiring campaign., after which several of Scale's AI-lab customers reportedly scaled back their work with it.