Ought, Inc. is a San Francisco-based product-driven research lab that focuses on developing mechanisms for delegating high-quality reasoning to advanced machine learning systems. With a mission to scale up good reasoning, they aim to harness the power of machine learning to transform various aspects of life that have abundant data and easily measurable objectives.
Recently, Ought spun off Elicit, an independent public benefit corporation that has raised $9 million in venture funding. Ought believes in the importance of building products and testing out ideas to have a significant impact on AI safety, and they offer resources such as the Factored Cognition Primer and the Interactive Composition Explorer (ICE) to facilitate responsible use of their technology.
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