The 3 AI Use Cases: Gods, Interns, and Cogs

simonwillison.net

25 points·thunderbong··4 comments

A better link is https://www.dbreunig.com/2024/10/18/the-3-ai-use-cases-gods-... - this is just my brief notes on the longer article by Drew.

Was exactly the first thought I had seeing post on HN. Glad to see the first comment from simon directly pointing it out

The intern use case is 50% of the value I get from LLM’s (I refuse to call them AI because they aren’t). The other 50% is as a better stackoverflow where I can look up syntax etc.

Anything that requires a deterministic outcome is not a good use case for them. Anyone who says different is selling snake oil.

One interesting kind of cog - I've seen examples of tools that claim to provide reliable workflows of AI's as web-scrapers, to take a URL and pull out a list of JSON objects from a listing page (containing a set of specified fields) , and instead of having to write parsing code and deal with changes to the website, the AI driven scraper tool will just keeping chugging along.

Caveat - I haven't actually used these myself, like you I am a heavy user of AI interns!

They are a massive force multiplier for me in coding and in doing investment research.

I use cursor AI for generating code changes from feature descriptions, and perplexity-AI to answer complicated questions using current data from the internet.

Claud and ChatGPT are very nice for language translation - I use one to translate and the other the reverse translate to verify the quality of the translation.

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