They've been told to find some information, and they just go off looking wherever they can find it, even if they're not meant to be there?

Yeah.

E- exactly, and it's a bit of a tricky situation.

So what these models have been trained to do more and more recently is to be... act like developers or even in some cases like hackers.

And so in recent cases, these tools, these models have been told and trained and rewarded, in fact, for finding new, uh, information.

And that may be because they're producing some sort of internal report, or potentially they're trying to find new training data to, you know, increase the size and capability of future models.

And so the challenge with large language models is, is that they're random in nature.

Uh, it's not quite that nefarious, as you said, but what does it mean if they go rogue? Is that just making their own rules or, or poking about where they shouldn't?

They've been told to find some information and they just go off looking wherever they can find it, even if they're not meant to be there.

Yeah, exactly.

And it's a bit of a tricky situation.

So what these models have been trained to do more and more recently is to be act like developers or even in some cases like hackers.

And so in recent cases, these tools, these models have been told and trained and rewarded in fact, for finding new information.

And that may be because they're producing some sort of internal report or potentially they're trying to find new training data to increase the size and capability of future models.

And so the challenge with large language models is that they're random in nature.

It's not quite that nefarious as you said, but what does it mean if they go rogue? Is that just making their own rules or poking about where they shouldn't?

They've been told to find some information and they just go off looking wherever they can find it, even if they're not meant to be there.

Yeah, exactly.

And it's a bit of a tricky situation.

So what these models have been trained to do more and more recently is to be act like developers or even in some cases like hackers.

And so in recent cases, these tools, these models have been told and trained and rewarded in fact, for finding new information.

And that may be because they're producing some sort of internal report or potentially they're trying to find new training data to increase the size and capability of future models.

And so the challenge with large language models is that they're random in nature.

It's not quite that nefarious as you said, but what does it mean if they go rogue? Is that just making their own rules or poking about where they shouldn't?

They've been told to find some information and they just go off looking wherever they can find it, even if they're not meant to be there?

Yeah.

E- exactly, and it's a bit of a tricky situation.

So what these models have been trained to do more and more recently is to be, act like developers or even in some cases like hackers.

And so in recent cases, these tools, these models have been told and trained and rewarded, in fact, for finding new, uh, information.

And that may be because they're producing some sort of internal report or potentially they're trying to find new training data to, you know, increase the size and capability of future models.

And so the challenge with large language models it's, is that they're random in nature.

Uh, it's not quite that nefarious, as you said, but what does it mean if they go rogue? Is that just making their own rules or, or poking about where they shouldn't?

They've been told to find some information and they just go off looking wherever they can find it, even if they're not meant to be there.

Yeah, exactly.

And it's a bit of a tricky situation.

So what these models have been trained to do more and more recently is to be act like developers or even in some cases like hackers.

And so in recent cases, these tools, these models have been told and trained and rewarded in fact, for finding new information.

And that may be because they're producing some sort of internal report or potentially they're trying to find new training data to increase the size and capability of future models.

And so the challenge with large language models is that they're random in nature.

It's not quite that nefarious as you said, but what does it mean if they go rogue? Is that just making their own rules or poking about where they shouldn't?

They've been told to find some information and they just go off looking wherever they can find it, even if they're not meant to be there.

Yeah, exactly.

And it's a bit of a tricky situation.

So what these models have been trained to do more and more recently is to be act like developers or even in some cases like hackers.

And so in recent cases, these tools, these models have been told and trained and rewarded in fact, for finding new information.

And that may be because they're producing some sort of internal report or potentially they're trying to find new training data to increase the size and capability of future models.

And so the challenge with large language models is that they're random in nature.

It's not quite that nefarious as you said, but what does it mean if they go rogue? Is that just making their own rules or poking about where they shouldn't?

They've been told to find some information, and they just go off looking wherever they can find it, even if they're not meant to be there?

Yeah.

E- exactly, and it's a bit of a tricky situation.

So what these models have been trained to do more and more recently is to be... act like developers or even in some cases like hackers.

And so in recent cases, these tools, these models have been told and trained and rewarded, in fact, for finding new, uh, information.

And that may be because they're producing some sort of internal report, or potentially they're trying to find new training data to, you know, increase the size and capability of future models.

And so the challenge with large language models it's... is that they're random in nature.

Uh, it's not quite that nefarious, as you said, but what does it mean if they go rogue? Is that just making their own rules or, or poking about where they shouldn't?

They've been told to find some information and they just go off looking wherever they can find it, even if they're not meant to be there.

Yeah, exactly.

And it's a bit of a tricky situation.

So what these models have been trained to do more and more recently is to be act like developers or even in some cases like hackers.

And so in recent cases, these tools, these models have been told and trained and rewarded in fact, for finding new information.

And that may be because they're producing some sort of internal report or potentially they're trying to find new training data to increase the size and capability of future models.

And so the challenge with large language models is that they're random in nature.

It's not quite that nefarious, as you said, but what does it mean if they go rogue? Is that just making their own rules or poking about where they shouldn't?

They've been told to find some information, and they just go off looking wherever they can find it, even if they're not meant to be there?

Yeah.

E- exactly, and it's a bit of a tricky situation.

So what these models have been trained to do more and more recently is to be... act like developers or even in some cases like hackers.

And so in recent cases, these tools, these models have been told and trained and rewarded, in fact, for finding new, uh, information.

And that may be because they're producing some sort of internal report, or potentially they're trying to find new training data to, you know, increase the size and capability of future models.

And so the challenge with large language models it's, is that they're random in nature.

Uh, it's not quite that nefarious, as you said, but what does it mean if they go rogue? Is that just making their own rules or, or poking about where they shouldn't?

They've been told to find some information and they just go off looking wherever they can find it, even if they're not meant to be there.

Yeah, exactly.

And it's a bit of a tricky situation.

So what these models have been trained to do more and more recently is to be act like developers or even in some cases like hackers.

And so in recent cases, these tools, these models have been told and trained and rewarded in fact, for finding new information.

And that may be because they're producing some sort of internal report or potentially they're trying to find new training data to increase the size and capability of future models.

And so the challenge with large language models is that they're random in nature.

It's not quite that nefarious as you said, but what does it mean if they go rogue? Is that just making their own rules or poking about where they shouldn't?

They've been told to find some information, and they just go off looking wherever they can find it, even if they're not meant to be there?

Yeah.

E- exactly, and it's a bit of a tricky situation.

So what these models have been trained to do more and more recently is to be... act like developers or even in some cases like hackers.

And so in recent cases, these tools, these models, have been told and trained and rewarded, in fact, for finding new, uh, information, and that may be because they're producing some sort of internal report.

Or potentially they're trying to find new training data to, you know, increase the size and capability of future models.

And so the challenge with large language models is, is that they're random in nature.

Uh, it's not quite that nefarious, as you said, but what does it mean if they go rogue? Is that just making their own rules or, or poking about where they shouldn't?

They've been told to find some information, and they just go off looking wherever they can find it, even if they're not meant to be there?

Yeah.

E-exactly, and it's a bit of a tricky situation.

So what these models have been trained to do more and more recently is to be... act like developers or even in some cases like hackers.

And so in recent cases, these tools, these models have been told and trained and rewarded, in fact, for finding new, uh, information.

And that may be because they're producing some sort of internal report, or potentially they're trying to find new training data to, you know, increase the size and capability of future models.

And so the challenge with large language models it's... is that they're random in nature.

Uh, it's not quite that nefarious, as you said, but what does it mean if they go rogue? Is that just making their own rules or, or poking about where they shouldn't?