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[AN #136]: How well will GPT-N perform on downstream tasks?

The predicted cost for GPT-N parameter improvements is for the "classical Transformer" architecture? Recent updates like the Performer should require substantially less compute and therefore cost.

What do we *really* expect from a well-aligned AI?

but indeed human utility functions will have to be aggregated in some manner

I do not see why that should be the case? Assuming virtual heavens, why couldn't each individuals personal preferences be fullfilled?

To what extent is GPT-3 capable of reasoning?
Answer by BllJul 22, 20201

It seems pretty undeniable to me from these examples that GPT-3 can reason to an extend.

However, it can't seem to do it consistently.

Maybe analogous to people with mental and/or brain issues that have times of clarity and times of confusion?

If we can find a way to isolate the pattern of activity in GPT-3 that relates to reasoning we might be bale to enforce that state permanently?