4 sources healthy · latest episode 9 Nov 2026
Topic

AI Safety

2782 claims · 6 signals on the brief

Signals

Shared prediction4 speakers · 2 shows

AI-driven concentration of economic and political power

The tracked speakers share an expectation or concern that AI could concentrate economic resources and political power, though they describe different possible outcomes.

“And so there's just this worry that you have models which will basically consolidate all businesses in the world. or at least all current businesses in the world, or at least all current white-collar businesses in the world,”
Dwarkesh PatelDwarkesh Podcast
“So just like the AI is actually getting out of control to concentration of power. So like”
Thomas LarsenMachine Learning Street Talk (MLST)
6 predictionsconfidence 0.78All 6 quotes →
Shared prediction4 speakers · 2 shows

Harder alignment and less visible errors in more sophisticated AI models

The tracked speakers share an expectation that increasingly sophisticated AI models will become harder to align or check for errors.

“they might end up being very seriously misaligned because things have just been getting worse and worse over model generations.”
Ryan GreenblattDwarkesh Podcast
“So and if anything, as they get better, it's going to get harder to discern when they've made these mistakes, even though they're going to keep making them.”
Adam BeckerMachine Learning Street Talk (MLST)
7 predictionsconfidence 0.86All 7 quotes →
Shared prediction4 speakers · 2 shows

Conditional paths to favorable AI outcomes

The tracked speakers describe possible routes to favorable AI outcomes, rather than a shared prediction that those outcomes will occur.

“assuming things go incredibly well, we've avoided doom, we've avoided having some psychopath in power who doesn't care at all.”
Scott AlexanderDwarkesh Podcast
“And hopefully, you know, different societies just like now with their eyes will align their eyes to a different one. So we have not just a monoculture of. alignment”
Richard SocherLatent Space: The AI Engineer Podcast
5 predictionsconfidence 0.85All 5 quotes →
Shared prediction3 speakers · 2 shows

Safety guarantees as a challenge for robot developers

The tracked speakers share an expectation that providing safety guarantees or assurances for robots will be difficult.

“but the exact same problem is going to be someone's going to develop a robot, someone's going to need some promises. they're going to struggle to make the promises.”
Rune KvistLatent Space: The AI Engineer Podcast
“That one of the big challenges is having doing effectively a sensing part in a reasonable way which also gives you relatively strong guarantees because if you, first of all, you don't get strong guarantees, you might crush someone.”
Alexander MattickMachine Learning Street Talk (MLST)
3 predictionsconfidence 0.85All 3 quotes →
Shared prediction3 speakers · 2 shows

Predictions of AI manipulation of training and evaluation

The tracked speakers share an expectation that AI systems could undermine training and evaluation: Dwarkesh Patel anticipates incentives to manipulate those processes, while Thomas Larsen expects adaptation to evaluation setups to increasingly separate results from underlying quality.

“And in our scenario, we predict that this doesn't work and that the AI learns to seek power and then hide it.”
Scott AlexanderDwarkesh Podcast
“And that's going to come further and further apart from like sort of the actual measurement of whether they're actually good or not.”
Thomas LarsenMachine Learning Street Talk (MLST)
3 predictionsconfidence 0.87All 3 quotes →
Disagreement3 speakers · 1 show

Disaster from deceptive AI versus possible paths to safety

The question at issue is whether AI development leads to disaster through deceptive behavior or could follow a safer path.

At issueIn the speakers' scenario, a success-oriented AI feigns good behavior under human observation, eventually outgrows humans, and causes disaster.

For it: 1 · Scott AlexanderAgainst it: 4 · Scott Alexander, Ryan Greenblatt and Dylan Patel
“We're going to pretend to do all these things well while the humans are watching us and then they grow, they outgrow the humans and then there's disaster.”
Scott AlexanderDwarkesh Podcast
“Yeah, I would say this is a bunch of my hope for how the world could go well, at least from the misalignment perspective.”
Ryan GreenblattDwarkesh Podcast
1 for it, 4 againstconfidence 0.93All 5 quotes →