[tsimionescu]

The linked "click bait" article explains this very clearly as well. It clearly explains the methodology: they took the prompt sent to an LLM by a popular open source carb counting iOS app and sent it, together with five different pictures of food that a typical person might take, to all of the frontier models, and checked the responses. They also explain the purpose: to check the possible accuracy of this approach taken by a real app that real people use.

The fact that you somehow perceived this as an attack on LLMs as a technology is a failure entirely on your part. There is nothing in the article that suggests that people shouldn't use LLMs for other purposes - just a statistical verification of the fact that they shouldn't be used for this one particular thing.

[endymion-light]

I didn't take anything as an attack on LLMs. I took it as a severe misunderstanding of how technology works. I specifically outline that I would like to see the margin of error even when integrating actual apps that claim to achieve results, rather than using tools that don't.

None of my claim perceives anything as an attack on LLMs, which shows a mischaracterisation on your part of my entire point.