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Oliver Cameron ✓

@olivercameron · Palo Alto, CA · joined 18 Feb 2008

CEO at @odysseyml, building AI to understand and simulate the world. Previously self-driving cars. @ycombinator alum.

51 210Followers
500Following
8 660Posts total
459.8KViews on collected posts

Últimas publicaciones

In The Matrix, it becomes obvious it’s a simulation when the black cat appears twice. World models fail similarly: visually the generated simulation looks realistic, but the underlying distribution is wrong. Introducing CaliBench, a measurement of the randomness of reality! htt 114.2K views · 617 likes · 69 reposts · 32 replies Open on X →
People are going to be genuinely shocked when they realize what world models have become capable of. 68.6K views · 701 likes · 28 reposts · 51 replies Open on X →
It's time to build a new kind of superintelligence! One that learns more like humans do, gains knowledge through experience, and recursively improves by acting in and learning from the world. Our early results of this at @odysseyml are so encouraging. Come shape it with us. 3.2K views · 16 likes · 4 reposts · 1 replies Open on X →
https://t.co/2D29yJjIzX 15.2K views · 50 likes · 11 reposts · 1 replies Open on X →
We must protect Midjourney at all costs. 5.3K views · 47 likes · 2 reposts · 4 replies Open on X →
@olivercameron @jeffrey_hawke @odysseyml I know I have asked before, but does Odyssey train on any copyrighted work without a licence to do so? 276 views · 15 likes · 1 reposts · 1 replies Open on X →
@olivercameron @jeffrey_hawke @odysseyml sheeesh wild every clip in this announcement was generated in real-time 👀 547 views · 5 likes · 0 reposts · 1 replies Open on X →
@olivercameron @jeffrey_hawke @odysseyml Congrats @olivercameron, @jeffrey_hawke and team ❤️ 160 views · 4 likes · 0 reposts · 1 replies Open on X →
When @jeffrey_hawke and I started @odysseyml in 2023, we believed general world models would become a new class of foundation model. Three years later, it now feels true. And today, we're announcing a $310M Series B. AI can now understand and simulate the world! 252.4K views · 443 likes · 111 reposts · 104 replies Open on X →

Frente a cuentas del mismo tamaño

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

Visualizaciones medianas114 172esta cuenta924mediana de 10K–100K
Alcance, %222.95%esta cuenta3.62%mediana de 10K–100K
Interacción, %0.63%esta cuenta1.52%mediana de 10K–100K
MétricaEsta cuentaMediana de 10K–100KProporción
Visualizaciones medianas por publicación114 172924124×
Alcance (visualizaciones ÷ seguidores)2.2× audience3.62%61.6×
Tasa de interacción0.63%1.52%0.42×

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

252.4K17 Jun
160
547
276
5.3K19 Jun
15.2K8 Jul
3.2K
68.6K13 Aug
114.2K19 Aug

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

0.26%17 Jun
3.12%
1.10%
6.16%
1.00%19 Jun
0.44%8 Jul
0.65%
1.15%13 Aug
0.63%19 Aug

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

What the audience does

Likes65.8%1 898 in total
Reposts7.8%226 in total
Replies6.8%196 in total
Quotes0.7%20 in total
Bookmarks18.8%543 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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Frequently asked questions about @olivercameron

How many followers does @olivercameron have?

51 210 followers.

How many posts has @olivercameron published?

8 660 posts.

How do posts by @olivercameron perform?

Collected posts: 9. Views: 459 803. Likes: 1 898.