Manolis Kellis

And you guys all have a pretty good emulator of me right now.

And I don't know if you know the programming paradigm of the Robert Ducklin.

where you basically explain to the Robert Ducklin that's just sitting there exactly what you did with your code and why you have a bug.

And just by the act of explaining, you'll kind of figure it out.

Yes.

I woke up one morning from a dream where I was giving a lecture in this amphitheater, and one of my friends was basically giving me some deep evolutionary insight on how cancer genomes and cancer cells evolve.

And I woke up with a very elaborate discussion that I was giving and a very elaborate set of insights that he had that I was projecting onto my friend in my sleep.

And obviously this was my dream.

So my own neurons were capable of doing that, but they only did that

under the prompt of you are now Piyush Gupta, you are a professor in cancer genomics, you're an expert in that field, what do you say?

So I feel that we all have that inside us, that we have that capability of basically saying, I don't know what the right thing is, but let me ask my virtual ex, what would you do?

And virtual ex would say, be kind.

I'm like, oh, yes, or something like that.

And even though I myself might not be able to do it unprompted,

And my favorite prompt is think step by step.

And I'm like, you know, this also works on my 10 year old.

When he tries to solve a math equation all in one step, I know exactly what mistake he'll make.

But if I prompt it with, oh, please think step by step, then it sort of gets you in a mindset.

And I think it's also part of the way that ChatGPT was actually trained, this whole sort of human in the loop reinforcement learning.

has probably reinforced these types of behaviors, whereby having this feedback loop, you kind of aligned AI better to the prompting opportunities by humans.