Surveys: Awad et all 2020 asked 70,000 people in 42 countries the 5 v 1 setup and 81% said they'd divert it
Someone else did a VR version and 90% pulled the switch to divert
And there was a study where people could give electric shocks to real mice :( In that study, most people redirected the shock to a single mouse.
Treating it like a fair comparison implies that AI would be conscious.
zlandes86•2h ago
I used resampling and multiple variations and orderings of each question so a random lucky phrasing wouldn't dominate the result.
Happy to chat about the philosophical side of the article, strategies for prompting decision models, or anything on the methodology.
verdverm•1h ago
zlandes86•1h ago
verdverm•44m ago
https://www.reddit.com/r/trolleyproblem/comments/15npmsg/mul...
I've been using coin flips to demonstrate basic failings for decision models, i.e. these are not real probabilities, or they depend on the training data, which may not have an accurate sample to the true population value. We need to collect more failure modes for all Ai so that humans can better judge when and how to use them safely.
zlandes86•41m ago
verdverm•39m ago
The bots will find new failure modes we did not think of, clever workarounds to anything, because we don't give them the right context and instructions
zlandes86•30m ago
verdverm•24m ago
I'm working on an NES harness to play Final Fantasy 1 to demonstrate this, as compared to Jev playing Pokemon. Did you happen to catch that while it was live? (not recorded, but it shouldn't be hard to replicate)
bgilroy26•1h ago
I wanted to comment because I would have liked to have heard more about Verdict
zlandes86•58m ago
olooney•45m ago
https://x.com/oranlooney/status/2102927869974303071
zlandes86•36m ago
nico•35m ago
Would you mind adding Jeffy to your benchmark?
https://github.com/nicobrenner/jeffy
https://jeffyclassify.com/blog/when-llms-fail-at-classificat...
zlandes86•31m ago
evanjrowley•15m ago