A.I.

I’ve been following some of the debate on the water usage of LLMs. A lot of people seem concerned that this is a large issue. I’m not sure either way, but I’m coming round to the view that water usage is not a major concern, in comparison to, for example, the energy usage. On the recommendation of a friend I’m reading “Empire of A.I.” by Karen Hao, in the chapter ‘Plundered Earth’ the author touches on the water issue. I think she makes a pretty big error that should have been caught by an editor, but also investigating this error has caused me to update a little in favour of the water issue actually being an issue, even if just a small consideration as opposed to being a complete non-issue. So first of all I’ll give a couple of links to roughly explain where I think we are in the llm-water-usage issue. ...

A couple of weeks back after the GPT-5 release, I wrote a skeptical post that the fact that the GPT-5 model picker release was botched was something of a bearish sign for llm-assisted programming: Okay, but if OpenAI cannot utilise their own models in coding/dev-ops to avoid a high-profile failure on a very high importance launch, what chance do other companies have? Why hasn’t the A.I. enabled OpenAI to improve their development/deployment strategies to avoid such techincal glitches? ...