Speaker
Noam Brown
Guest on Dwarkesh Podcast. 65 claims across 1 episode, Sept 2026.
65claims, each timestamped
0 of 12signals on the brief
0verified changes of mind
8open predictions
Positions over time
Every pair of statements that was compared. Only a verified change counts as a change of mind; rewording, added nuance and different questions do not.
No two statements by this speaker have been compared yet.
Predictions
As stated. A window appears only where the speaker gave one.
| Expects | By | Said | Status |
|---|---|---|---|
| Using 10,000 agents to write a novel would probably provide little benefit. | no date given | 17 Sept 2026 | pending |
| The speaker expects it will be very difficult to determine the benefit of using 10,000 agents rather than 1,000 agents. | no date given | 17 Sept 2026 | pending |
| The speaker considers it plausible that AI progress would become much harder if researchers ran out of problems challenging enough for the model. | no date given | 17 Sept 2026 | pending |
| Mathematics might follow the rapid capability trajectory seen in game-playing AI, though the speaker considers it very plausible that it will not. | no date given | 17 Sept 2026 | pending |
| The speaker thinks working with agents could become less natural or harder to keep up with as interaction speeds increase; ultra-fast modes can make sampling 10–15 times faster. | no date given | 17 Sept 2026 | pending |
| If multi-agent coordination is designed well, agents can coordinate very effectively through structured processes. | no date given | 17 Sept 2026 | pending |
| If aligned well, AI workers could work for a company with effort comparable to that of a co-founder holding a 20% share. | no date given | 17 Sept 2026 | pending |
| If AI alignment is solved, incumbents could mitigate internal misalignment by deploying 10,000 AIs aligned with the company's interests. | no date given | 17 Sept 2026 | pending |
Appearances
Claims per episode
- 17 Sept 2026Noam Brown – Agent swarms, alignment, & recursive self-improvementDwarkesh Podcast · other