Anthropic and Palantir Technologies Inc. (NYSE: PLTR) today announced a partnership with Amazon Web Services (AWS) to provide U.S. intelligence and defense agencies access to the Claude 3 and 3.5 family of models on AWS. This partnership allows for an integrated suite of technology to operationalize the use of Claude within Palantir's AI Platform (AIP) while leveraging the security, agility, flexibility, and sustainability benefits provided by AWS.

The partnership facilitates the responsible application of AI, enabling the use of Claude within Palantir's products to support government operations such as processing vast amounts of complex data rapidly, elevating data driven insights, identifying patterns and trends more effectively, streamlining document review and preparation, and helping U.S. officials to make more informed decisions in time-sensitive situations while preserving their decision-making authorities. Claude became accessible within Palantir AIP on AWS earlier this month.

The age of automation is upon us. Anthropic, the company behind top-performing Claude large language models that compete directly with OpenAI GPT, has today announced updates to its models and a new feature—computer use. The computer use allows Claude 3.5 Sonnet model to access the user's system by looking at the screen, moving the cursor, typing text, and clicking buttons. While only being experimental for now, the system is prone to errors and creating "dumb" mistakes. However, it allows for one very important feature: driving the operating system designed for humans using artificial intelligence.

There is a benchmark that evaluates AI model's ability to use computers like a human does on human-centered operating system. Called OSWorld, the Claude 3.5 Sonnet model has managed to score 14.9% in screenshot-only category, and 22.0% in some other tasks that require more steps. A typical human scores around 72.36% in this testing, which proves to be difficult even for natural intelligence. However, this is only the beginning as these models advance rapidly. Usually, these models work with other types of data, like text and static images, where they process it and do computation based on it. Working on computers designed for human interaction first is a great leap in the capabilities of AI models.