this post was submitted on 07 Sep 2026
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[–] vrek@programming.dev 1 points 2 days ago

Ignoring environmental issues, the issue at the moment is the tool is not production ready. If I design a tool to measure length of something but I can't be confident the measurement will be right within a specific tolerance the tool is useless. If the tool is just guessing, well I can do that without the tool. Yeah it may be 85% accurate but I still have to employ someone to verify each one or risk selling bad product, because I can't trust the tool.

People don't "solve the same problem" over and over again, they learn what the solution is. You probably know a^2 + b^2 = c^2 or the Pythagoras theorem. You learned that. You didn't "solve" it.

Now in addition you may have learned some uses of it. Things like measuring a shadow or knowing how long a road is going up a mountain. You also probably learned it won't work to calculate how to shoot a basketball. Yes you know height of hoop and can measure the distance from you to hoop but the result is wrong because you throw on a parabolic curve not in straight line(not to mention gravity and air resistance etc). Ai doesn't recognize those differences. If you tell it "given the height of a hoop and distance from the hoop, how can I tell how hard to throw a ball to get it into the hoop" it will give you an equation, probably calculate the distance with Pythagoras, then gathering average mass of standard basketball, and incorporating them into an equation for force required to push that mass to that distance.

From a software developer perspective another issue is context. I've seen alot of Ai slop where they calculate a value(say distance to monster in a game) each time it's needed. Any software dev would calculate it once, store in variable, use it as many times you need, recalculate on next frame.

Again this is all ignoring the environmental, legal, societal, medical, mental effects. Just focusing on the fact the technology is several generations behind hoping to be production ready.