Something like GPT-3, probably the most well-known language model out there, is undeniably impressive, but there’s something worrying about the fact that its internal operations are essentially a mystery even to its creators.Īs the new funding announcement explains it: The company has already published several papers looking into, for example, reverse engineering the behavior of language models to understand why and how they produce the results they do. Because that’s the problem category Anthropic was formed to examine: how to better understand the AI models increasingly in use in every industry as they grow beyond our ability to explain their logic and outcomes. His sister Daniela, with whom he co-founded the public benefit corporation, said that having built out the company, “We’re focusing on ensuring Anthropic has the culture and governance to continue to responsibly explore and develop safe AI systems as we scale.” “With this fundraise, we’re going to explore the predictable scaling properties of machine learning systems, while closely examining the unpredictable ways in which capabilities and safety issues can emerge at-scale,” said Amodei in the announcement. Its $124 million in funding was surprising then, but nothing could have prepared us for the company raising $580 million less than a year later. Less than a year ago, Anthropic was founded by former OpenAI VP of research Dario Amodei, intending to perform research in the public interest on making AI more reliable and explainable.
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