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prinz ✓

@deredleritt3r · joined 07 Jan 2024

ad astra | https://t.co/3B3k7GBshI | prinzbench: https://t.co/L9ZuUiBnE4

22 000Followers
4 702Following
9 445Posts total
450.3KViews on collected posts

Latest posts

ad astra 7.5K views · 281 likes · 2 reposts · 10 replies Open on X →
@deredleritt3r They sold their soul to open the portal to Hell 2.5K views · 19 likes · 0 reposts · 1 replies Open on X →
https://t.co/B4jaCO5CLG 11.5K views · 44 likes · 2 reposts · 0 replies Open on X →
Sam Altman: "Much, much, much more capable models coming soon." "The next generation of models are going to be sobering for everybody." "The weight of responsibility in front of us." https://t.co/c5QSuep498 231.5K views · 1.6K likes · 107 reposts · 46 replies Open on X →
Tom Brown on the timeline for curing cancer: "I think the economic and scientific impacts that we'll see 5 years from now will be immense. I think that we will make a major dent in things like curing cancer. I would be astonished if we haven't made material progress on that in 13.3K views · 219 likes · 6 reposts · 16 replies Open on X →
@deredleritt3r They’re missing out on Prinzbench. 743 views · 7 likes · 0 reposts · 0 replies Open on X →
@deredleritt3r I think this is inherent in the nature of wrapper companies offering per-seat or flat-rate subscriptions because the only way they make any money is by doing at least one of: 1. ruthlessly cutting token costs (both model and reasoning) 2. imposing low use limits 3 248 views · 6 likes · 0 reposts · 0 replies Open on X →
@deredleritt3r Out of curiosity: are the errors in this case detectable by a good model? (I mean, with a generic prompt along the lines of "check this for major errors".) 3.5K views · 11 likes · 0 reposts · 1 replies Open on X →
Reading a memo produced by the client's legal department with extensive help from AI: - looks very pretty; beautiful font; nice formatting; there's even a handsome-looking (although unnecessary) organizational chart included - completely incorrect conclusion on whether a 66.7K views · 486 likes · 19 reposts · 34 replies Open on X →
The battle is over. The war has just begun. 12.6K views · 214 likes · 3 reposts · 6 replies Open on X →
SoC Lutnick says that beef between Anthropic and the Trump administration is over, and that Anthropic are 'back on the right side.' https://t.co/Qr9H9q7CpU 39.1K views · 427 likes · 32 reposts · 23 replies Open on X →
The large frontier OpenAI RL run has now been unpaused (restarted on August 28). https://t.co/eg1Th5UheV 12.6K views · 424 likes · 22 reposts · 11 replies Open on X →
@deredleritt3r I have it on good authority that Anthropic employees use an internal model two generations ahead of Mythos. Seems related. 169 views · 2 likes · 0 reposts · 0 replies Open on X →
@deredleritt3r The risk report argues that full substitution would mean at _least_ 85%! I.e. it's just making the claim "we think at most 15% of these problems are broken or unfair in a way that even if you were able to replace all of A\ technical staff you would not get a good s 1.9K views · 26 likes · 0 reposts · 1 replies Open on X →
@deredleritt3r ye i have a feeling that their expectations were a lot higher for this one, implying it’s really big or special in some other way 1.3K views · 2 likes · 0 reposts · 1 replies Open on X →
Anthropic's reaction to its internal "Model 2" (which was Anthropic's best internally available model as of July 15, 2026) is fairly muted: - "More capable than Mythos 5 in some areas, less capable in others; overall slightly more capable." - AECI: Mythos Preview was 158.91; 45.3K views · 321 likes · 10 reposts · 16 replies Open on X →

Against accounts of the same size

16 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.

Median views9 506this account924median for 10K–100K
Reach, %43.21%this account3.62%median for 10K–100K
Engagement, %1.06%this account1.52%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post9 50692410.3×
Reach (views ÷ followers)43.21%3.62%11.9×
Engagement rate1.06%1.52%0.70×

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

1.9K14 Aug
16915 Aug
12.6K1 Sep
39.1K2 Sep
12.6K
66.7K
3.5K
248
743
13.3K3 Sep
231.5K
11.5K
2.5K
7.5K

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

1.43%14 Aug
1.18%15 Aug
3.63%1 Sep
1.25%2 Sep
1.78%
0.83%
0.35%
2.42%
0.94%
1.82%3 Sep
0.76%
0.41%
0.81%
3.93%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes81.0%4 073 in total
Reposts4.0%203 in total
Replies3.3%166 in total
Quotes1.2%61 in total
Bookmarks10.5%528 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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