2 ms·

Because the system isn't confirming the answers. Let's assume we have the final form AGI. If it doesn't confirm the claims are accurate then it falls under the

Because the system isn't confirming the answers. Let's assume we have the final form AGI. If it doesn't confirm the claims are accurate then it falls under the same flaw as humans who don't confirm. If it's a bunch of untested, unconfirmed results that are statistically pretty decent, this doesn't really reduce the amount of work. That is the same misplaced enthusiasm that developers tend to do when they fetishize new tools or languages which actually make their job more complicated and time consuming but occupy the time in a way that gives illusory optics to the contrary. The fact that most devs get fooled by such productivity illusions are why 10x engineer are a real thing.

pixl97 3y ago
>Because the system isn't confirming the answers. Do we have any evidence that users confirm the answers? In general the conformation is in the end users following up and saying this works/doesn't work. Now, this gets more problematic when 'bots' follow up and says it works, but that is going to be a massive problem in detecting that's the case unless they are doing it far more than a human could.
- kristopolous 3y ago
  > Do we have any evidence that users confirm the answers? No. > In general the conformation is in the end users following up and saying this works/doesn't work. I guess. The point is there's a limit to the trustworthiness of the results and if I'm going there to fix a problem, the success rate I'm looking for is 100%, especially if it's said as confidently and verbosely as these AIs seem to be