If this is true, the hyperscalers are toast
- In my regular research (behind a paywall), I have been saying for a while that I think the future of AI is not large language models (LLM), but small language models (SLM) run on local desktop computers or even mobile phones.
- In May, a team from Stanford University published research that compared these SLMs with the performance of LLMs run in data centres.
- If their results are true, then we will hardly need any data centres in the future, and the hyperscalers are wasting hundreds of billions of dollars in investments.
Unverified
- In my regular research (behind a paywall), I have been saying for a while that I think the future of AI is not large language models (LLM), but small language models (SLM) run on local desktop computers or even mobile phones.
- In May, a team from Stanford University published research that compared these SLMs with the performance of LLMs run in data centres.
- If their results are true, then we will hardly need any data centres in the future, and the hyperscalers are wasting hundreds of billions of dollars in investments.
Sources: Substack