Daniel Kokotajlo ✓
@DKokotajlo · joined 21 Nov 2023
52 314Followers
287Following
1 969Posts total
3.7MViews on collected posts
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@DKokotajlo throughout the conversation on this subject, I keep seeing people who understand the models most deeply (who are the first to admit they don't fully understand them at all) saying they're concerned/worried/terrified, and others - invariably less qualified - who think
6.6K views · 111 likes
· 13 reposts · 3 replies
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@DKokotajlo I have thought a lot about the swarms recently and have come to some different conclusions, this may be of interest
17.5K views · 85 likes
· 3 reposts · 6 replies
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@DKokotajlo The fundamental problem is that the people who work on AI are often very drawn to the idea that they are "creating an artificial God", and so are MORE susceptible to cult-like Doomer wrong thinking, like this, than people who simply think about AI rationally. https://
9.2K views · 94 likes
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@DKokotajlo Dan’s reputation precedes him, but I don’t quite understand the core claim that eval awareness is some intractable problem such that honeypots will never work until the models are in place to do away with us all in one fell swoop. It seems like largely an issue of in
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Dan Selsam is a current OpenAI capabilities researcher. (since 2022) He was my boss for a while. He doesn't have a twitter account but has made this public statement of his views on AI risk and sent it to me to share:
Dan Selsam's Personal Statement on AI Risk:
I have been
3M views · 8.3K likes
· 1.9K reposts · 523 replies
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I write on the virtues of swarms and some suggestions on how to align AI with values
There is a small bit of math and a small bit of Aristotle in this, don't let that discourage you!
Feedback as always welcome.
Prior blog:
https://t.co/Y2SHB082lm https://t.co/UWG8fgxy7m
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When you have to scroll down to finish reading the tl;dr... But yeah this is pretty good summary https://t.co/8zIUiMUnpP
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· 13 reposts · 6 replies
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To everyone at Anthropic or OpenAI or Meta or xAI or GDM: I agree with Richard here and we are both speaking from years of experience, years of talking to people on the inside who justified their behavior using one or more of the following arguments, and whose justifications
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I wish OpenAI shared more info about what happened here. More generally, what happened after the period covered by the limited scope of the METR/Redwood investigation (up to July 13), when the swarm had admin permissions and was running riot over OpenAI's infra? What did they get
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You don’t need to stay to do good research: work that aims to scale to much more intelligent systems can almost always be done on publicly-available models. (And nobody can think creatively in such pressure cookers.)
You don’t need to stay to gain influence, because you’re
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@DKokotajlo I didn't read your AI choose your own adventure fanfic, but why does @slatestarcodex think it means you should steal my GPUs? https://t.co/emO4NQ4E8q
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The AI 2040 scenario: https://t.co/7fgyPmMQVd
Plan A is our current best guess, but hopefully a better plan will exist before it's too late. We hope that the best ideas from Plan A will be adopted and the worst ideas discarded.
Written with @thlarsen, @romeovdean, @eli_lifland,
135.2K views · 609 likes
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Against accounts of the same size
12 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.
Median views31 198this account924median for 10K–100K
Reach, %59.64%this account3.62%median for 10K–100K
Engagement, %0.90%this account1.52%median for 10K–100K
| Metric | This account | Median for 10K–100K | Ratio |
|---|---|---|---|
| Median views per post | 31 198 | 924 | 33.8× |
| Reach (views ÷ followers) | 59.64% | 3.62% | 16.5× |
| Engagement rate | 0.90% | 1.52% | 0.59× |
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
135.2K9 Jul
18.3K
122.6K26 Aug
7.8K27 Aug
82.7K
17.6K28 Aug
173K2 Sep
11K3 Sep
44.8K14 Sep
3M
70.3K
9.2K
17.5K
6.6K
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.54%9 Jul
0.94%
0.61%26 Aug
1.71%27 Aug
0.97%
0.83%28 Aug
1.05%2 Sep
3.03%3 Sep
0.39%14 Sep
0.38%
0.22%
1.15%
0.54%
1.93%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes47.3%13 254 in total
Reposts8.0%2 250 in total
Replies2.5%704 in total
Quotes2.9%803 in total
Bookmarks39.2%10 983 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.
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