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Lan

@ad0rnai · yay area · joined 04 Feb 2016

doing things @primeintellect

33 231Followers
1 688Following
24 306Posts total
534.3KViews on collected posts

Latest posts

just remembered I’m personally responsible for the death of Jesus 8.4K views · 67 likes · 4 reposts · 4 replies Open on X →
@ad0rnai They all have highlights, fillers, and Botox its just well-done. 16.1K views · 179 likes · 3 reposts · 1 replies Open on X →
@ad0rnai As a born low income person there is absolutely something here we should discuss 51.1K views · 184 likes · 1 reposts · 1 replies Open on X →
@ad0rnai You are just misunderstanding the aesthetic 55K views · 304 likes · 1 reposts · 2 replies Open on X →
I look at the Greenwich SAHMs with no highlights, no fillers, barely any Botox, and long distance runner pancake butts, and I think there must be a huge psychological security in not having to “earn” your room and board through beauty bc you didn’t marry up 355.3K views · 3.9K likes · 53 reposts · 59 replies Open on X →
Me and my Vietnamese father in front of the plane he was about to fly us in, circa 2008 Only recently did I notice the name https://t.co/tCGsZk2Dqy 10.9K views · 202 likes · 0 reposts · 14 replies Open on X →
sobbing at the 9/11 search and rescue dogs photography exhibit at sfo https://t.co/KMqxM4AGAR 2.3K views · 79 likes · 3 reposts · 3 replies Open on X →
Excellent work by @m_sirovatka and team on further reducing step time, this time with trainer-to-inference transfer Now you can transfer the full 1.6TB policy of GLM 5.2 in ~9 seconds and even <4 seconds in some experiments 7.2K views · 39 likes · 1 reposts · 1 replies Open on X →
Our RL stack now supports NIXL weight transfer, reducing trainer-to-inference transfer time 9x compared with NCCL: from 86 seconds down to single-digit seconds for an 800B-parameter model, and even <4 seconds in our experiments. For prime-rl users, this means over 25% more https 28K views · 181 likes · 27 reposts · 6 replies Open on X →

Against accounts of the same size

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

Median views16 124this account990median for 10K–100K
Reach, %48.52%this account3.66%median for 10K–100K
Engagement, %0.93%this account1.61%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post16 12499016.3×
Reach (views ÷ followers)48.52%3.66%13.3×
Engagement rate0.93%1.61%0.58×

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

28K3 Sep
7.2K
2.3K4 Sep
10.9K
355.3K6 Sep
55K
51.1K
16.1K
8.4K

Last 9 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.79%3 Sep
0.57%
3.69%4 Sep
1.98%
1.14%6 Sep
0.56%
0.36%
1.13%
0.93%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.61%.

What the audience does

Likes83.2%5 148 in total
Reposts1.5%93 in total
Replies1.5%91 in total
Quotes0.7%44 in total
Bookmarks13.1%809 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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