The company has invested US$500m upfront into the OpenAI rival and agreed to add a further US$1.5bn more over time, the Wall Street Journal first reported. Google invested US$300m in Anthropic in April, taking a 10% stake.
Anthropic is the developer of Claude, a rival chatbot to OpenAI’s ChatGPT. Founded by Dario Amodei, OpenAI’s former VP of Research, and his sister, Daniela Amodei, who was OpenAI’s VP of Safety and Policy in 2021, the company has received funding from Salesforce and Zoom and was valued earlier this year at US$4.1bn.
Claude 2, the company’s latest model, has improved performance, longer responses, and can be accessed via API as well as a new public-facing beta website, claude.ai. It is capable of tasks from sophisticated dialogue and creative content generation to detailed instruction.
In addition to its Claude 2 model, Anthropic also offers a cheaper Claude Instant alternative, which can handle a range of tasks including casual dialogue, text analysis, summarisation, and document comprehension.
Google announcment follows Amazon US$4bn investment in Anthropic
The news follows an announcement earlier this year that Amazon would invest up to US$4bn in the company, expanding access to safer AI. The agreement, the companies said, formed part of a broader collaboration to develop the most reliable and high-performing foundation models in the industry.
“Our frontier safety research and products, together with Amazon Web Services’ (AWS) expertise in running secure, reliable infrastructure, will make Anthropic’s safe and steerable AI widely accessible to AWS customers,” Anthropic said in a statement.
“We look forward to working closely with Amazon to responsibly scale adoption of Claude and deliver safe AI cloud technologies to organisations around the world.”
The Frontier Model Forum aims to help advance research into AI safety, identity safety best practices for frontier models - large-scale machine-learning models that exceed the capabilities currently present in the most advanced existing models - and share knowledge with policymakers and academics to advance responsible AI development and leverage AI to address social challenges.
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