AI (statistical predictive models) work best when it’s designed for a specific purpose and when the model is too challenging to derive by hand. Detecting tumors is a specific purpose, and doing so manually is challenging enough that it requires specific training. It gets a pass by me.
Predicting protein structures/drug effects: specific purpose, check. Doing it manually, yep, very challenging. Good use of AI.
LLM chatbot: purpose is unclear. Making a non-AI-based chatbot is easy and has been done before. Verdict: useless technology
Or to put it another way, use the right tool for the job don’t use the shitty multi tool that does every job passably at best. The only exception to this rule of thumb is the humble spork, but that’s a piece of engineering genius that couldn’t be replicated by AI pushers.
AI (statistical predictive models) work best when it’s designed for a specific purpose and when the model is too challenging to derive by hand. Detecting tumors is a specific purpose, and doing so manually is challenging enough that it requires specific training. It gets a pass by me.
Predicting protein structures/drug effects: specific purpose, check. Doing it manually, yep, very challenging. Good use of AI.
LLM chatbot: purpose is unclear. Making a non-AI-based chatbot is easy and has been done before. Verdict: useless technology
Or to put it another way, use the right tool for the job don’t use the shitty multi tool that does every job passably at best. The only exception to this rule of thumb is the humble spork, but that’s a piece of engineering genius that couldn’t be replicated by AI pushers.