Anthropic shifted its focus away from chatbots at the end of last year, according to head of science Jared Kaplan. In a recent interview, Kaplan explained that the company is now prioritizing more complex tasks like research and programming. This new direction is also reflected in the latest Claude 4 models, which are designed with agent-based applications in mind. Kaplan acknowledges that tackling these kinds of advanced tasks comes with a higher risk of models behaving unpredictably. As a result, Anthropic is putting a strong emphasis on minimizing those risks. Programming remains a particular strength for the company’s models—a core capability that has made Anthropic especially popular with developers. The approach appears to be paying off: Anthropic's annual revenue has doubled, reaching two billion dollars.
Hub AI research
Artificial Intelligence is already part of everyday life. Since the ImageNet moment in 2012, when Deep Learning proved its great utility in combination with a lot of computing power and gigantic amounts of data, only about ten years have passed – yet there has been more progress than in half a century before.
Still, many questions remain: Will Deep Learning remain the gold standard of AI development? What are the performance limits of large AI systems? Do we need symbolic systems? What technology will lead to artificial general intelligence? Finally, what actually is intelligence, anyway?
We explore these topics and more in our Artificial Intelligence Research Content Hub.
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