Dwarkesh Patel ✓

@dwarkesh_sp · San Francisco · joined 25 Dec 2019

Host of @dwarkeshpodcast https://t.co/3SXlu7fy6N https://t.co/4DPAxODFYi https://t.co/hQfIWdM1Un

270 020Followers

1 077Following

6 506Posts total

1.3MViews on collected posts

Against accounts of the same size

5 posts from the last 90 days, next to the 100K–1M follower range. shown widely, but few of those viewers react.

Median views43 402this account22 159median for 100K–1M

Reach, %16.07%this account6.71%median for 100K–1M

Engagement, %0.71%this account1.18%median for 100K–1M

Metric	This account	Median for 100K–1M	Ratio
Median views per post	43 402	22 159	1.96×
Reach (views ÷ followers)	16.07%	6.71%	2.40×
Engagement rate	0.71%	1.18%	0.60×

Others in this range → Compare with another account → How these benchmarks are built →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

1.1M30 Aug

68.6K1 Sep

43.4K

36.6K

25.6K2 Sep

Last 5 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.41%30 Aug

0.66%1 Sep

0.71%

0.82%

1.24%2 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.18%.

What the audience does

Likes79.2%5 021 in total

Reposts7.4%466 in total

Replies6.1%386 in total

Quotes2.1%130 in total

Bookmarks5.3%334 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Latest posts

.@ajeya_cotra explains that the threat model most likely to spiral into full-blown AI takeover is a future rogue internal deployment that hitches a ride on the intelligence explosion: https://t.co/ThesylBQCl 25.6K views · 257 likes · 29 reposts · 23 replies 02 Sep 2026 An important part of getting AI right will be avoiding panic driven reactions and policies. We'll need to do lots of smart, careful, technocratic things. But I think hiding the ball on earlier warning shots makes it more likely that when the public eventually learns about https 36.6K views · 242 likes · 17 reposts · 26 replies 01 Sep 2026 There are at least two important ways in which anthropomorphizing AIs will mislead us: 1. AIs can (and probably will) be end-to-end optimized to achieve goals together, and so will have a stronger desire and capability to cooperate. 2. By default, AIs will really care about htt 43.4K views · 251 likes · 26 reposts · 26 replies 01 Sep 2026 This incident is very plausibly an argument *for* open source! Some people want to deny how crazy this story is, because they assume it implies a policy reaction which they don't like. But you can just argue that implication on the merits. It's not necessary to minimize what 68.6K views · 401 likes · 25 reposts · 27 replies 01 Sep 2026 BUYER BEWARE This extremely meticulous article will now be used to start Phase2 of “shut down open source” because “if we can’t control our closed models, imagine what happens to everyday life when anyone can just allow their open source models to proliferate”. Some will use 1.1M views · 3.9K likes · 369 reposts · 284 replies 30 Aug 2026