[endymion-light]

i mean it's more like

"AI can solve this one problem, but it needs X, Y, Z, because it's not a omnipotent god entity"

"I tried it without any of those things and it didn't work - this is worthless tech!"

I don't know if more accurate calorie counting using AI exists - but it's like being upset that the screwdriver isn't gluing wood. AI is far more than frontier LLMs.

[datsci_est_2015]

There are plenty of positions on the spectrum from “omnipotent God entity” and “Casio SL-300SV”. What does the current valuation of LLMaaS companies represent though?

LLMs are certainly not worthless, that’s a strawman in the same way my statement “AI will solve all of our problems” is a strawman. The question of their worth is being explored.

“AI is a black box that can solve problems”. Which problems? How consistently? At what cost? How quickly?

[sleepybrett]

> "AI can solve this one problem, but it needs X, Y, Z, because it's not a omnipotent god entity"

0 advertisements from openai or anthropic say this. They all sell you an omnipotent god entity.

[pertymcpert]

Skill issue in thinking.

[muwtyhg]

In this case, what is the 'X, Y, Z' that the apps are providing that the model is not?

[endymion-light]

Theoretically:

- A queryable large vector database containing calorie counts for specific meals.

- A vision model specifically trained on food images with labelled data containing approximate calorie counts.

- OCR model allowing reading of barcodes + calorie information.

A model trained to ask for additional context & information (e.g for pasta - please provide a photo of the original sauce tin/ect), (please approximate the weight of X meat)

I don't know how accurate integrating all of those aspects would be - and you could argue the end user would probably be incredibly annoyed and it wouldn't be a good app - but I'd argue you'd at least need that if you're developing an app for diabetes management.