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Kanjun 🐙 ✓

@kanjun · The Neighborhood (SF, CA) · joined 19 Jun 2009

helping humans fight Moloch. CEO @imbue_ai. support founders @outsetcap.

20 157Followers
589Following
3 596Posts total
25.4KViews on collected posts

Últimas publicaciones

AI is changing more than how we work. It's changing how power works. On Monday, I'm moderating a chat between OpenAI lawyer Meng Jia Yang and our Head of Policy @mattboulos about how our legal systems need to change now that AI is rising as a new form of power. It's 1.2K views · 6 likes · 0 reposts · 0 replies Open on X →
What is law in the age of AI? ​Our legal systems are built for people, companies, and governments as actors - not software. How do we redesign our institutions for this new kind of power? Next Monday, @kanjun (CEO of Imbue) will moderate a panel with Meng Jia Yang (a lawyer htt
1.9K views · 9 likes · 0 reposts · 2 replies Open on X →
People claim institutions are declining in the West because democracy doesn't fundamentally work, but I think our trouble stems from failure to solve coordination problems. Viewed from this lens, a clear call to action for those in tech who want to "have impact" is: work on 2K views · 16 likes · 1 reposts · 3 replies Open on X →
This is an extremely clear and compelling argument for how incentives drive behavior — many safety researchers inside labs find it nearly impossible, socially, to disparage their org's behavior. I feel this constantly. Running a for-profit company while trying not to optimize 5.1K views · 24 likes · 0 reposts · 2 replies Open on X →
I feel like we’re ripe for an agent-first mobile OS that’s free from Apple/Google’s walled gardens, where agents can actually do stuff for me. Like, this interaction was ridiculous: I had ChatGPT edit a video but the app has no download feature, so it had to upload to Google ht
2K views · 21 likes · 0 reposts · 7 replies Open on X →
Anthropic’s latest move is why we need to be directing far more energy towards solving the 𝗶𝗻𝗰𝗲𝗻𝘁𝗶𝘃𝗲 𝗽𝗿𝗼𝗯𝗹𝗲𝗺 in AI. We’re going to see more examples like this. It reflects the growing gap between what we want, vs AI labs who legally serve their shareholders not https://t.co/IX2j
13.1K views · 86 likes · 12 reposts · 8 replies Open on X →

Frente a cuentas del mismo tamaño

5 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. llega a mucha gente, pero pocos de esos espectadores reaccionan.

Visualizaciones medianas1 986esta cuenta924mediana de 10K–100K
Alcance, %9.85%esta cuenta3.62%mediana de 10K–100K
Interacción, %0.62%esta cuenta1.52%mediana de 10K–100K
MétricaEsta cuentaMediana de 10K–100KProporción
Visualizaciones medianas por publicación1 9869242.15×
Alcance (visualizaciones ÷ seguidores)9.85%3.62%2.72×
Tasa de interacción0.62%1.52%0.41×

Otras cuentas de este rango →   Comparar con otra cuenta →   Cómo se construyen estas referencias →

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

13.1K10 Jun
2K30 Aug
5.1K11 Sep
2K
1.9K
1.2K12 Sep

Last 6 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.85%10 Jun
1.41%30 Aug
0.51%11 Sep
1.05%
0.62%
0.57%12 Sep

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

What the audience does

Likes58.5%162 in total
Reposts4.7%13 in total
Replies7.9%22 in total
Quotes2.9%8 in total
Bookmarks26.0%72 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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