she oversaw product teams building ChatGPT, DALL·E, Sora,

and contributed to advancements in ai safety, ethics,

And I could tell you, I did a story on Microsoft recently

and unprompted,

any number of people told me how important she was

Prior to joining opening OpenAI, she managed the product

you left OpenAI with a very generous and diplomatic note.

I know from our prep you're not gonna be talking a lot about

Can you tell us anything about what you're up to next?

I'm not going to share much about what I'm doing next

And yeah, generally I would totally ignore the noise

and obsession about who is leaving the labs and so on

and let's focus on the actual substance of things.

But what I'm excited about is, you know, quite similar

And I really think that we're sort of at this beginning

how our civilization co-evolve with the development

of science and technology as our knowledge deepens.

It was a company that where people had a shared vision,

humanity really was on this quest to take, you know,

and before that we had college level performance.

And before that, just a couple of years

before that we had high school level performance.

that has a capability to learn how to perform at human level

even if it's not something that happens within a couple

and we believed in this, what you call spiritual mission

Whereas now we've made enough progress that we can kind

for how AI would really advanced transportation.

and particularly how it would change our relationship

in exploring virtual reality, augmented reality,

and it was his essay on Singularity where he talks about,

you know, this is sort of likens our era

to a time where, where the change is so transformational

it would be the most important thing that I would do.

You know, you mentioned, you know, the VR company you work

or if this conference were taking place like six years ago,

all people would be talking about was the metaverse, right,

and I don't think any

of the sessions here are about the metaverse, you know,

that I thought it would happen in that particular time.

I was more curious

to understand this next human-machine interface

and augmented reality are have definitely advanced a lot,

since then.

And yeah, I think we will definitely see great technologies,

and they're somehow saying that at this moment, you know,

which was, you know, kind of like an astounding leap.

So I think one interesting observation is that people get,

to come in our society's ability to adapt to more change.

But in terms of whether there is a plateau

or not, let's consider where the progress came from.

And a lot of the progress today has come from, you know,

increasing the size of the neural networks,

increasing the amount of data, increasing the amount

that as you increase all of these things predictably leads

of different data code and images and video and so on.

So we've seen a lot of advancement coming from that.

we're just starting to see the rise of more agentic systems.

So I expect there is going to be a lot of progress there.

but I, I'm quite optimistic that the progress will continue.

people are exploring things like synthetic data

this year companies are spending a billion dollars

and next year that goes up by a factor of 10 to 10 billion

to AGI level systems is not just about capability

It's about figuring out the entire social infrastructure

in which these systems are going to be operated in.

because this technology is not intrinsically good or bad,

they got more excited about the building AGI part

I think kind of like the market dynamics have pushed

everyone in the industry to really innovate in that vector.

I would say that civilization needs to coexist harmoniously

Some people have said that the as existential threats

because people aren't really building the safety stuff now,

market alignment on the short term safety questions

And so I think a lot of effort will actually is already

in the understanding of what these systems are capable of,

why we haven't been able to get rid of the Hallucinations?

something like, These things are always tied together

and you almost cannot distinguish,

it's impossible to distinguish the lion from the lamb.

And I think hallucinations are like that where it gives you,

where you need very accurate information in, you know,

But it's still something that we need to figure out.

Some people have suggested, you know, you talked earlier

But it seems to me that the more we go down this path,

the more valuable, the trustworthy information is,

that talked about that if models are trained on, you know,

which seems to put a premium on like human created

You know, it winds up to be some sort of licensing things

for the best, most trustworthy models,

which then sort of, I guess limits its world models.

How are we going to eventually deal with this IP issue

There is the aspect of, you know, how the laws evolve

and figuring out and innovating perhaps in business models

and understanding, doing more research

and understanding how specific data contribution

And another layer is definitely the research on the data

like our reinforcement learning with human feedback

or you're doing reinforcement learning from AI feedback,

and requires a lot of human feedback or synthetic data.

which can match and exceed some human capabilities

and how civilization co-evolves with this technology.

I think it's entirely up to us, the institutions,

the structures we put into place, the level of investment,

the work that we do,

and really how we move forward the entire ecosystem.

and constrain the actions of any specific individuals.

or individual to bring AGI to the entire civilization.