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jennifer evans πŸ‡΅πŸ‡ΈπŸ‡±πŸ‡§πŸ‡¨πŸ‡¦ βœ“

@nejsnave Β· Siem Reap, Cambodia Β· joined 31 Jan 2008

AI research + policy. Identified context degradation curve. NEW: Are Agents Rogue? on Latitude of Resolution https://t.co/fZZWf4UEct

15 145Followers
10 401Following
314 984Posts total
3KViews on collected posts

Latest posts

πŸŽ‰πŸŽ‰πŸŽ‰πŸ™πŸ»πŸ™πŸ»πŸ™πŸ»πŸ’™πŸ’™πŸ’™ 154 views Β· 2 likes Β· 1 reposts Β· 0 replies Open on X β†’
@nejsnave thank you again jen and everyone who helped me i am so grateful xo 183 views Β· 2 likes Β· 1 reposts Β· 0 replies Open on X β†’
πŸŽ‰πŸŽ‰πŸŽ‰πŸ™πŸ»πŸ™πŸ»πŸ™πŸ»πŸ’™πŸ’™πŸ’™ Thank you C $38 (converted from USD) in for D! 106 views Β· 3 likes Β· 3 reposts Β· 1 replies Open on X β†’
we are in a strange moment, on a strange platform, reacting and watching other reactions, none of it making much sense. 168 views Β· 7 likes Β· 3 reposts Β· 0 replies Open on X β†’
πŸŽ‰πŸŽ‰πŸŽ‰πŸ™πŸ»πŸ™πŸ»πŸ™πŸ»πŸ’™πŸ’™πŸ’™ covered! 186 views Β· 8 likes Β· 7 reposts Β· 2 replies Open on X β†’
Covered thank you everyone! 33 views Β· 1 likes Β· 0 reposts Β· 0 replies Open on X β†’
β­οΈβ­οΈβ­οΈπŸ€–πŸ€–πŸ€– People are in control, but choosing to allow experiments to run. Capabilities of agents are nowhere near how they are being characterized. There are architectural flaws in LLMs that are resulting in what can look like misbehaviour. And much more on the current, 206 views Β· 7 likes Β· 1 reposts Β· 0 replies Open on X β†’
@nejsnave @livinginpovert2 @sweetasmaple71 Thank you Jen ❀ 61 views Β· 1 likes Β· 0 reposts Β· 1 replies Open on X β†’
Please help Angie she needs to buy groceries and she is over her overdraft limit and can't buy any food. Also @livinginpovert2 urgently needs $185 to cover her Hydro bill and @sweetasmaple71 needs $600 urgently to prevent an eviction. @losinghopein needs help with bills. 1.4K views Β· 15 likes Β· 22 reposts Β· 4 replies Open on X β†’
@nejsnave Im at a loss idk what else to do but thanks for trying xo 416 views Β· 2 likes Β· 1 reposts Β· 0 replies Open on X β†’

Against accounts of the same size

10 posts from the last 90 days, next to the 10K–100K follower range. reaches fewer people than peers, but engages them much harder.

Median views176this account936median for 10K–100K
Reach, %1.16%this account3.54%median for 10K–100K
Engagement, %3.16%this account1.95%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post1769360.19Γ—
Reach (views Γ· followers)1.16%3.54%0.33Γ—
Engagement rate3.16%1.95%1.62Γ—

Others in this range β†’   Compare with another account β†’   How these benchmarks are built β†’

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

4165 Sep
1.4K
61
2066 Sep
337 Sep
186
168
106
183
154

Last 10 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.96%5 Sep
3.05%
3.28%
4.37%6 Sep
3.03%7 Sep
9.14%
5.95%
6.60%
2.19%
1.95%

Reactions β€” likes, reposts, replies and quotes β€” divided by views. Median for 10K–100K accounts is 1.95%.

What the audience does

Likes47.5%48 in total
Reposts38.6%39 in total
Replies7.9%8 in total
Quotes5.9%6 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 β€” we take one a day, and this one is on its first.

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