To be fair, 0.2 + 0.1 = 0.30000000000000004

AI as it exists today is only effective if used sparingly and cautiously by someone with domain knowledge who can identify the tasks (usually menial ones) that don't need a human touch.

AI as it exists today is only effective if used sparingly and cautiously by someone with domain knowledge who can identify the tasks (usually menial ones) that don't need a human touch.

The biggest point is that you must be an expert in the field you are using it in. I rarely get fooled by hallucinations and stupid bugs because they are glaringly obvious to me. The best use case is having the llm write code for using a library that has poor documentation, that am going to use once, and I am too lazy to learn.
These tools are scary when used by juniors, they are creating more work for everyone by using llms to code. I just imagine myself using this when I was a fresh grad, it is terrifying. It would have only been one step up from vibe coding.

This is the best description of current AI I've seen so far.

The biggest point is that you must be an expert in the field you are using it in. I rarely get fooled by hallucinations and stupid bugs because they are glaringly obvious to me. The best use case is having the llm write code for using a library that has poor documentation, that am going to use once, and I am too lazy to learn.
These tools are scary when used by juniors, they are creating more work for everyone by using llms to code. I just imagine myself using this when I was a fresh grad, it is terrifying. It would have only been one step up from vibe coding.

We've hired a bunch of Indian guys who are using AI to do their work... the results are marginally better than either approach independently.

it doesn't look like just a gimmick anymore.

It still does

AI as it exists today is only effective if used sparingly and cautiously by someone with domain knowledge who can identify the tasks (usually menial ones) that don't need a human touch.