Posts

Local priorities research: what is it, who should consider doing it, and why 2020-09-06T14:57:43.228Z · score: 47 (26 votes)
Singapore’s Technical AI Alignment Research Career Guide 2020-08-26T08:09:57.841Z · score: 27 (13 votes)

Comments

Comment by yiyang on Local priorities research: what is it, who should consider doing it, and why · 2020-09-09T08:48:27.621Z · score: 1 (1 votes) · EA · GW

I appreciate the feedback Peter!

Comment by yiyang on Singapore’s Technical AI Alignment Research Career Guide · 2020-09-01T03:41:08.610Z · score: 3 (2 votes) · EA · GW

That's great! Thanks again for the feedback.

Comment by yiyang on Singapore’s Technical AI Alignment Research Career Guide · 2020-08-27T08:23:22.399Z · score: 5 (3 votes) · EA · GW

In regards to what I meant by "short term AI capabilities", I was referring to prosaic AGI - potentially powerful AI systems that uses current techniques instead of hypothetical new ideas surrounding how intelligence works. When you mentioned "I estimated a very rough 50% chance of AGI within 20 years, and 30-40% chance that it would be using 'essentially current techniques'", I took it as prosaic AGI too, but you might mean something else.

I've reread all the write-ups, and you're right that they don't imply that "research on short term AI capabilities is potentially impactful in the long term". I really have jumped the gun there. Thanks for letting me know!

I've rephrased the problematic part to the following:

"Singapore’s AI research is focused more on current techniques. If you think we need to have new ideas on how intelligence works to tackle AI alignment issues, than Singapore is not a good country for that. However, if you think prosaic AGI [link to Paul's Medium article] is a strong possibility, then working on AI alignment research in Singapore might be good."

If you feel like this rephrasing is still problematic, please do let me know. I don't have a strong background in AI alignment research, so I might have misunderstood some parts of it.