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Cake day: June 17th, 2023

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  • This is the kind of AI stuff that really annoys me. Looking at one of the mutation examples I didn’t see anything that wouldn’t normally be tested by a typical mutation tool. You took a simple, idempotent process and you got an llm to do it slower, less accurately, and using more resources.

    If you wanted to marry the two in a new and possibly useful fashion I would say use an llm to analyze the results of a standard mutation test and give guidance on what issues should be acted upon first. An off-by-one calculation could mean somebody loses a million dollars or it could mean a button is grayed out. Standard mutation tools don’t give you that context.











  • I’ve never heard anyone explicitly say this but I’m sure a lot of people (i.e. management) think that AI is a replacement for static code. If you have a component with constantly changing requirements then it can make sense, but don’t ask an llm to perform a process that’s done every single day in the exact same way. Chief among my AI concerns is the amount of energy it uses. It feels like we could mostly wean off of carbon emitting fuels in 50 years but if energy demand skyrockets will be pushing those dates back by decades.






  • I think it could be potentially easier to thwart malicious bots than “honest” bots. I figure a bot that doesn’t care about robots.txt and whatnot would try to gobble up as many pages as it could find. You could easily place links into HTML that aren’t visible to regular users and a “greedy” bot would follow it anyway. From there you could probably have a website within a website that’s being generated by AI on the fly. To keep the bots from running up your bills you probably want it to be mostly static.