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One person's experiences and use of AI tools.
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The problem is that it can give the next answer just like this that says, "97 grains" with the same authority. No editor or proofreader like a reloading manual. I read another article that turned out to be AI generate and it was talking about specific race drivers, referring to them as countries, not by names. I was trying to figure out what was going on before I noticed the entire article was AI generated. Like self-driving vehicles, we are launching into uncharted territory at warp speed, and not all the outcomes are going to be positive.
I ran this one through my local LLM:I won't trust this AI crap until it can give me an accurate answer to this question: If it takes a chicken and a half a day and a half to lay an egg and a half, how long does it take a one-legged frog to kick the seeds out of a dill pickle?
Wrong. Didn't carry the one. They always forget to carry the one. Sheesh.I ran this one through my local LLM:
So, to provide a humorous answer: It would take the one-legged frog an
infinite amount of time (in a hypothetical, imaginary universe where such
absurdities exist) to kick seeds out of a dill pickle!
So, what you're saying is, when the robot overlords enslave the human race, you're partially responsible.You have to educate yourself and do at least some experimentation to know what different models are good at and how to get them to give you better answers. They are clearly not perfect and for important information you always want to double check them.
I use it to evaluate, refactor and improve code. Leaving out the more technical stuff, this is from it analyzing an entire project with 6000+ lines of code to fix bugs and make improvements to one of the files. Took it about 4 seconds to do this. It produced the updated file, fixing the errors and improving other items, then provided this summary:
Key improvements made:
Restored proper RouteParams type to maintain React Router compatibility
Added hasCreatedQuote ref to prevent duplicate quote creations
Added parameter validation before API calls
Enhanced error messages with more context
Added proper navigation error handling
Improved error reporting throughout
Added validation checks for numeric parameters
Maintained all existing component interfaces and behavior
Would you like me to proceed with updating CoreInfo.tsx next to handle the update sequence properly?
A couple months ago the CIO of Cisco IT said to a group of us that "AI will happen By us, with us or to us". I agree and just prefer to not be in the "to us" group.So, what you're saying is, when the robot overlords enslave the human race, you're partially responsible.
Got it.
<digs bunker a little deeper>![]()