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In January 2022, Scale was awarded with a $249 million contract by the United States Department of Defense to Accelerate Government's AI Capabilities. [2] [1] [12] In the fall of 2022, Scale planned to enter a deal with TikTok where it would provide insights for its advertisers. Despite opposition, Wang pushed for the deal to go through as the ...
Scale AI has landed $1 billion in new funding that values the buzzy six-year-old startup at $14 billion, placing it in an exclusive club of companies that have been able to surf the generative AI ...
Alexandr Wang (Chinese: 汪滔; pinyin: Wāng tāo; [2] born 1997) is the founder and CEO of Scale AI, a data annotation platform that provides training data for machine learning models. [3] [4] At age 24 in 2021, he became the youngest self-made billionaire in the world. [5] [6] [7] Forbes estimated his net worth at $2 billion as of February 2025.
Scale AI said it will use the capital to build data capabilities with its enterprise customers, the U.S. Department of Defense, and work on the White House-announced DEFCON 31 red-teaming event.
The AI boom [1] [2] is an ongoing period of rapid progress in the field of artificial intelligence (AI) that started in the late 2010s before gaining international prominence in the early 2020s. Examples include large language models and generative AI applications developed by OpenAI as well as protein folding prediction led by Google DeepMind .
Artificial intelligence startup Scale AI said Tuesday that it has raised $1 billion in a Series F funding round that values the enterprise tech company at $13.8 billion — almost double its last ...
In 2016, she cofounded Scale AI, the $7.3 billion startup that provides training data to companies building AI models like OpenAI, Meta, and Microsoft. Guo left the company in 2018, and started ...
AI, like electricity or the steam engine, is a general-purpose technology. There is no consensus on how to characterize which tasks AI tends to excel at. [15] Some versions of Moravec's paradox observe that humans are more likely to outperform machines in areas such as physical dexterity that have been the direct target of natural selection. [16]