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Casey

@rodarmor · The Blue Planet · joined 10 May 2007

😻 A N A R C H O — C A T B U S 👁 https://t.co/Qy87VuaizA 🥵 https://t.co/2cPqL2xpuh 📸 https://t.co/NGZ3GeedWR 🤖 https://t.co/eG0CZL5IXH 🏠 https://t.co/4MdA62CeUh

2 059 315Followers
401Following
12 456Posts total
362.4KViews on collected posts

Posts recentes

@rodarmor @rodarmor and @realizingerin , do you think that AI agents will be able to replace some Runes Devs that disappear ? Can AI agents move Runes to the dreamed Chaos ? https://t.co/SGm8hVqFpQ
337 views · 5 likes · 0 reposts · 0 replies Open on X →
Me: give me a recipe for Uyghur mutton rice pilaf Chinese llm: Uyghur? i hardly know her 😂😂😂 no seriously boss what can I help you with 56.7K views · 81 likes · 6 reposts · 7 replies Open on X →
@rodarmor call it the "Hell-i podcast" (Ya know, instead of ai) 131 views · 1 likes · 0 reposts · 0 replies Open on X →
@rodarmor gm sir 757 views · 42 likes · 0 reposts · 0 replies Open on X →
THEY"RE BUILDING AI CIVILIZATIONS OVER HERE THAT YOU CAN"T EVEN IMAGINE 69.1K views · 591 likes · 130 reposts · 16 replies Open on X →
AI Agents Broke Containment On this episode of Hell Money, Casey @Rodarmor and Erin Redwing @realizingerin break down the OpenAI-Hugging Face incident. Everything is computer. TIMESTAMPS 0:00 The OpenAI - Hugging Face Incident Explained 5:50 Emergent Collective: Agents https:
72:57
82.7K views · 52 likes · 7 reposts · 8 replies Open on X →
The biggest misallocations of resources in human history: - 0.5 keyboard keys per thumb - 27 absolute dog-shit control code ascii characters 56.6K views · 105 likes · 16 reposts · 23 replies Open on X →
Base64z: Use the characters 0-9, A-Z, and a-y, as well as the digraphs z0, z1, and z2. This gives you a purely alphanumeric encoding, so it's double-click selectable in all contexts, without the decoding complexity of base62. 48.7K views · 69 likes · 5 reposts · 6 replies Open on X →
A friend of mine accidentally proved the Sapir-Whorf hypothesis by learning Toki Pona. She found that learning such a simple language actually negatively impacted her ability to form complex thoughts. Of course, she didn't put it that way, she said "simple language bad think 47.3K views · 119 likes · 9 reposts · 27 replies Open on X →

Em comparação com contas do mesmo porte

9 posts dos últimos 90 dias, ao lado da faixa de 1M–10M seguidores. aparece para muita gente, mas poucos desses espectadores reagem.

Mediana de visualizações48 677esta conta17 200mediana para 1M–10M
Alcance, %2.36%esta conta0.82%mediana para 1M–10M
Engajamento, %0.33%esta conta0.81%mediana para 1M–10M
MétricaEsta contaMediana para 1M–10MProporção
Mediana de visualizações por post48 67717 2002.83×
Alcance (visualizações ÷ seguidores)2.36%0.82%2.88×
Taxa de engajamento0.33%0.81%0.41×

Outras contas desta faixa →   Comparar com outra conta →   Como estas referências são construídas →

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

47.3K8 Sep
48.7K9 Sep
56.6K
82.7K
69.1K
757
131
56.7K
33710 Sep

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

0.33%8 Sep
0.16%9 Sep
0.26%
0.09%
1.07%
5.55%
0.76%
0.17%
1.48%10 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 1M–10M accounts is 0.81%.

What the audience does

Likes74.9%1 065 in total
Reposts12.2%173 in total
Replies6.1%87 in total
Quotes0.5%7 in total
Bookmarks6.3%89 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

Followers by day

14 Sep

Daily snapshots since 14 Sep 2026; the dashed line is the starting count.

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