I feel that one of the key elements of the problem is misplaced anxiety. If the ancient farmer stops working hard he will not not get enough food. So all his family will be dead. In modern Western society, the risk of being dead from not working is nearly zero. (You are way more likely to die from exhausting yourself and working too hard). When someone works too hard, usually it is not fear of dying too earlier, or that kids will die. It is a fear of failure, being the underdog, not doing what you are supposed to, and plenty of other constructs that ancient people simply did not reach - first they needed to survive. In this sense, we are way better than even one hundred years ago.
Can UBI eliminate this fear? Maybe partially it can help, but people will still likely work hard to preserve their future and the future of their children. Maybe making psychotherapy (t address the fear itself) more available for those with low income is a better solution. I understand that it would require training way more specialists than we have now. However, some people report a benefit from talking with GPT as a therapist https://x.com/Kat__Woods/status/1644021980948201473 , maybe it can help.
What is the application deadline? I did not find it in the post. Thank you!
Yes, absolutely! We will open the application for mentee later
So far nothing, was distracted by other stuff in my life. Yes, let's chat! frombranestobrains@gmail.com
After the rest of the USA is destroyed the very unstable situation (especially taking into account how many people have guns) is quite likely. In my opinion countries (and remote parts of countries) that will not be under attack at all are much better
Thank you for your research! First of all, I don't expect the non-human parameter to give a clear power-law, since we need to add humans as well. Of course, close to singularity the impact of humans will be very small, but maybe we are not that close yet. Now for the details:
Compute:
1. Yes, Moore's law was a quite steady exponential for quite a while, but we indeed should multiply it.
2. The graph shows just a five years period, and not the number of chips produced, but revenue. The five years period is too small for any conclusions, and I am not sure that fluctuations in revenue are not driven mainly by market price rather than by produced amount.
Data storage:
Yes, I saw that one before, seems more like they just draw a nice picture rather than real data.
General remarks:
I agree with the point that AGI appearance can be sufficiently random. I can see two mechanisms that potentially may make it less random. First, we may need a lot of computational resources, data storage etc. to create it, and as a lab or company reaches the threshold, it happens easily with already existing algorithms. Second, we may need a lot of digitalized data to train AGI, so the transition again happens only as we have that much data.
Lastly, notice that cthe reation of AGI is not a singularity in a mathematical sense yet. It will certainly accelerate our progress, but not to infinity, so if the data will predict for example singularity in 2030, it will likely mean AGI earlier than that.
How trustworthy would this prediction be? Depends on the amount of data and noise. If we have just 10-20 datapoints scattered all around the graph, so you can connect the dots in any way you like - not really. If, instead, we are lucky and the control parameter happened to be something easily measurable (something such that you can get just-in-time statistics, like the number of papers on arXiv right now, so we can get really a lot of data points) and the parameter continues to change as theory predicts - it would be a quite strong argument for the timeline.
It is not very likely that the control parameter will be that easily measurable and will obey power-law that good. I think it is a very high risk - very high gain project (very high gain, because if the prediction will be very clear it will be possible to persuade more people that the problem is important).
You are making a good point. Indeed, the system that would reward authors and experts will be quite complicated, so I was thinking about it on a purely volunteering basis (so in the initial stages it is non-profit). Then, if the group of people willing to work on the project was formed, they may turn it into a business project. If the initial author of the idea is in the project, he may get something, otherwise, no - the idea is already donated, no donations back. I will make an update to the initial post to clarify this point.
As to your idea, I am totally not an expert in this field. Hopefully, we will find the experts for all our ideas (I also have a couple).
Thank you very much, it does!
I think you answer is worth to be published as a separate post. It will be relevant for everyone who is teaching.
It would be very interesting to look at the results of this experiment in more detail.
Yes, maybe I explained what I mean not very well; however, gjm (see commentaries below) seems to get it. The point is not that CFAR is very much like Lifespring (though I may have sounded like that), the point is that there are certain techniques (team spirit, deep emotional connections etc.) that are likely to be used in such workshops, that will most certainly make participants love workshop and organizers (and other participants) , but their effect on the participant's life can be significantly weaker than their emotional change of mind. These techniques work sufficiently worse for the online workshops, so this was one of the reason I tried to understand why CFAR does not hold online workshops. Another reason was resentment towards CFAR for not doing it, for it would be much more convenient to me.
I agree, they have a really bad life, but Eliezer seems to talk here about those who work 60 hours/week to ensure their kids will go to a good school. Slightly different problem.
And on homeless people, there are different cases. In some UBI indeed will help. But, unfortunately, in many cases the person has mental health problems or addiction, and simply giving them money may not help.