ETH Zurich and EPFL will release a large language model (LLM) developed on public infrastructure. Trained on the “Alps” supercomputer at the Swiss National Supercomputing Centre (CSCS), the new LLM marks a milestone in open-source AI and multilingual excellence.
- In late summer 2025, a publicly developed large language model (LLM) will be released — co-created by researchers at EPFL, ETH Zurich, and the Swiss National Supercomputing Centre (CSCS).
- This LLM will be fully open: This openness is designed to support broad adoption and foster innovation across science, society, and industry.
- A defining feature of the model is its multilingual fluency in over 1,000 languages.
Machine learning is a subset of the AI branch of computer science. I agree that the pop culture definition of AI is different than the computer science one, but the computer science one is still valid.
Large language models and “generative AI” such as Stable Diffusion, Midjourney, and DALL-E are all just machine learning models. We do not currently have a real “AI branch” of computer science, we have a branch of machine learning that poses as AI.
No matter how good a machine gets at recognizing and predicting patterns, it will not constitute AI, as intelligence is different from pattern recognition and prediction. Even if LLMs can sometimes appear to be reasoning, they importantly are not.