Clem Delangue, chief executive of Hugging Face, cautioned that the market for large‑language models (LLMs) is in a bubble that could burst as early as next year. While acknowledging the excitement around LLMs, he emphasized that they represent only a fraction of artificial intelligence, noting growing potential in fields such as biology, chemistry, image, audio, and video processing. Delangue criticized the current concentration of capital and attention on a single, generalized model, arguing that the industry’s focus should broaden to capture the full spectrum of AI capabilities. Leer más →

A recent study measuring the power usage of open‑source generative AI video tools found that creating a single AI‑generated video consumes roughly 90 watt‑hours of electricity—far more than image or text generation. The research, conducted on an Nvidia H100 GPU, showed video diffusion to be about thirty times costlier than image generation and two thousand times costlier than text generation. These findings highlight the growing energy demands of AI video models and raise concerns about transparency and sustainability as the technology scales. Leer más →