AI isn’t hitting a wall, it’s just getting too smart for benchmarks, says Anthropic [Video]

Large language models and other forms of generative artificial intelligence are improving steadily at “self-correction,” opening up the possibilities for new kinds of work they can do, including “agentic AI,” according to the vice president of Anthropic, a leading vendor of AI models.

“It’s getting very good at self-correction, self-reasoning,” said Michael Gerstenhaber, head of API technologies at Anthropic, which makes the Claude family of LLMs that compete with OpenAI’s GPT. 

“Every couple of months we’ve come out with a new model that has extended what LLMs can do,” said Gerstenhaber during an interview Wednesday in New York with Bloomberg Intelligence’s Anurag Rana. “The most interesting thing about this industry is that new use cases are unlocked with every model revision.” 

Also: Anthropic’s latest AI model can use a computer just like you – mistakes and all

The most recent models include task planning, such as how to carry out tasks …