Comment by chriswarbo
6 months ago
> I have some idea of what the way forward is going to look like but I don't want to accelerate the development of such a dangerous technology so I haven't told anyone about it.
Ever since "AI" was named at Dartmouth, there have been very smart people thinking that their idea will be the thing which makes it work this time. Usually, those ideas work really well in-the-small (ELIZA, SHRDLU, Automated Mathematician, etc.), but don't scale to useful problem sizes.
So, unless you've built a full-scale implementation of your ideas, I wouldn't put too much faith in them if I were you.
Far more common are ideas that don't work on any scale at all.
If you have something that gives a sticky +5% at 250M scale, you might have an actual winner. Almost all new ML ideas fall well short of that.
If someone else comes along and makes the exact claim I just made, I won't believe it either
Did you try any of your shit at any scale at all?
999999 times out of a million you'd be right.
But, I shouldn't have said anything.