In terms of the big labs being inefficient, with hindsight perhaps. Anyway I have said that I can’t understand why they aren’t putting much more effort into Dishbrain etc. If I had ~$1B and wanted to get ahead on a 5 year timescale I would give it more probability expectation etc.
For
I am here for credibility. I am sufficiently highly confident they are not X-risk to not want to recommend stopping. I want the field to have credibility for later.
Yes, but I don’t think stopping the training runs is much of an otherwise good thing if at all. To me it seems more like inviting a fire safety expert and they recommend a smoke alarm in your toilet but not kitchen. If we can learn alignment stuff from such training runs, then stopping is an otherwise bad thing.
OK I’m not up with the details but some experts sure think we learnt a lot from 3.5/4.0. Also my belief about it often being a good idea to deploy the most advanced non X-risk AI as defense. (This is somewhat unclear, usually what doesn’t kill makes stronger, but I am concerned about AI companion/romantic partner etc. That could weaken society in a way to make it more likely to make bad decisions later. But that seems to have already happened and very large models being centralized could be secured against more capable/damaging versions.)
In terms of the big labs being inefficient, with hindsight perhaps. Anyway I have said that I can’t understand why they aren’t putting much more effort into Dishbrain etc. If I had ~$1B and wanted to get ahead on a 5 year timescale I would give it more probability expectation etc.
For
I am here for credibility. I am sufficiently highly confident they are not X-risk to not want to recommend stopping. I want the field to have credibility for later.
Yes, but I don’t think stopping the training runs is much of an otherwise good thing if at all. To me it seems more like inviting a fire safety expert and they recommend a smoke alarm in your toilet but not kitchen. If we can learn alignment stuff from such training runs, then stopping is an otherwise bad thing.
OK I’m not up with the details but some experts sure think we learnt a lot from 3.5/4.0. Also my belief about it often being a good idea to deploy the most advanced non X-risk AI as defense. (This is somewhat unclear, usually what doesn’t kill makes stronger, but I am concerned about AI companion/romantic partner etc. That could weaken society in a way to make it more likely to make bad decisions later. But that seems to have already happened and very large models being centralized could be secured against more capable/damaging versions.)