Recent discussions around an 'AI bubble' have gained traction, particularly in relation to circular funding among companies like OpenAI and Anthropic. Clem Delangue, CEO of the machine learning resource hub Hugging Face, has emphasized that this bubble is primarily concentrated on large language models (LLMs), which he considers just one facet of AI.
Speaking at an Axios event, Delangue expressed his views, as reported by TechCrunch. He stated, “I think we’re in an LLM bubble, and I think the LLM bubble might be bursting next year.” He noted, however, that while LLMs might be facing a speculative rise, AI applications in domains such as biology, chemistry, image processing, audio, and video are in their nascent stages and will likely see significant development in the coming years.
Recent coverage at Ars has centered on the investment fears linked to AI, predominantly focusing on firms whose main products are large language models or data centers that support them. These entities typically invest heavily in general-purpose chatbots aimed at universal application.
Delangue is skeptical about this model's sustainability. “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 critiqued.