Luca Soldani of the Allen Institute for AI (Ai2) reviews open AI model releases during a live NeurIPS 2024 session.
Opinion
Soldani: Open Model Bio-Risk Warnings Were a Lobbying Ploy
“You know, if you remember the beginning of this year, it was all about bio-risk of these open models. The whole thing fizzled out because there's been, finally there's been, like, rigorous research, not just this paper from coherent folks, but there's been rig…”
Insight
Soldani: Frontier LLM pre-training requires at least 50,000 GPUs
“To give you a sense of, like, how I personally think about research budget for each part of the language model pipeline is, like, on the pre-training side, you can maybe do something with a thousand GPUs. Really, you want 10,000. And, like, if you want real es…”
Insight
Soldani: Replicating OpenAI's o1 requires roughly 10,000 GPUs
“If you're interested in you know, your, Open replication of what OpenAI's O-one is you're gonna be on the 10 K spectrum of our GPUs.”
Opinion
Soldani: Web blocking disproportionately benefits incumbent closed AI labs
“And I think the problem is this blocking or ideas really, it impacts people in different ways. It disproportionately helps companies that have a head start, which are usually the closed labs, and it hurts incoming newcomer players where you either have now to …”
Opinion
Soldani: Local models beat closed models in retrieval applications
“There are some applications where local models just blow closed models out of the water. So, like, retrieval is a very clear example.”
Assertion Supported
Soldani: Llama and Qwen models fail OSI open source AI definition
“Under this definition, for example, Lama or some of the Quen models are not open source because the license says you can, you can't use this model for this, or it says if you use this model, you have to name the output this way or derivative needs to be named …”