"We're in an LLM bubble," Hugging Face CEO says-but not an AI one

""I think we're in an LLM bubble, and I think the LLM bubble might be bursting next year," he said at an Axios event this week, as quoted in a TechCrunch article."

""But 'LLM' is just a subset of AI when it comes to applying AI to biology, chemistry, image, audio, [and] video. I think we're at the beginning of it, and we'll see much more in the next few years.""

""I think all the attention, all the focus, all the money, is concentrated into this idea that you can build one model through a bunch of compute and that is going to solve all problems for all companies and all people," he said."

Investment and attention have concentrated heavily on large language models (LLMs), particularly general-purpose chatbots and the data centers that power them. This concentration has created an LLM-specific bubble that could burst within the next year. LLMs constitute only a subset of artificial intelligence, with major application potential in biology, chemistry, imaging, audio, and video. Those domains remain in early stages and are likely to see substantial growth in coming years. Overreliance on a single, compute-driven model approach risks inefficiency and misallocated capital if a universal model fails to solve diverse real-world problems.

Read at Ars Technica