PatronusAI ✓

@PatronusAI

Simulation research and infrastructure for human-aligned AGI https://t.co/8X6bVgv4RF

2 615Followers

220Following

428Posts total

14.2KViews on collected posts

Últimas publicaciones

PatronusAI ✓@PatronusAI3 Sep

@PatronusAI Great benchmark! Thanks for mentioning pokeagent in the paper. 224 views · 7 likes · 0 reposts · 1 replies Open on X →

PatronusAI ✓@PatronusAI3 Sep

If problems like this are interesting to you, we're hiring: https://t.co/m2QE69O5sa 262 views · 9 likes · 0 reposts · 0 replies Open on X →

PatronusAI ✓@PatronusAI3 Sep

We find that agents often inherit a slower route than the best human players, and route freely when not. Additionally, giving a model a seed makes the task tractable for weaker agents, since several models failed to reach the goal from scratch at all and many models cannot http 311 views · 9 likes · 1 reposts · 1 replies Open on X →

PatronusAI ✓@PatronusAI3 Sep

Website: https://t.co/EOVL0K54Vf Paper: https://t.co/MRJReiJvei Blog: https://t.co/fsSwNR2kAu Benchmark: https://t.co/nugt8Caq9Y 297 views · 10 likes · 1 reposts · 1 replies Open on X →

PatronusAI ✓@PatronusAI3 Sep

We set up a demo at https://t.co/nLq7iOtMxk, where you can pick any model and any game and play them in the browser. https://t.co/QElrfqziYt 589 views · 11 likes · 1 reposts · 2 replies Open on X →

PatronusAI ✓@PatronusAI3 Sep

Most game benchmarks measure “can the agent complete the game”? That metric basically saturates the moment frontier models complete the game. Human speedrunning communities have spent decades pushing the same games well past completion by discovering new routes and techniques, ht 404 views · 8 likes · 1 reposts · 1 replies Open on X →

PatronusAI ✓@PatronusAI3 Sep

Today, we’re releasing SpeedrunBench: the first benchmark that measures how fast agents can beat video games. We asked frontier models not to simply complete video games, but to speedrun them - across 10 titles like Mario Kart and Pokemon. On simpler games, agents get close h 12.1K views · 132 likes · 24 reposts · 8 replies Open on X →

Frente a cuentas del mismo tamaño

7 publicaciones de los últimos 90 días, junto al rango de under 10K seguidores. llega a menos gente que sus pares, pero los implica mucho más.

Visualizaciones medianas311esta cuenta4 175mediana de under 10K

Alcance, %11.89%esta cuenta250.82%mediana de under 10K

Interacción, %3.44%esta cuenta1.41%mediana de under 10K

Métrica	Esta cuenta	Mediana de under 10K	Proporción
Visualizaciones medianas por publicación	311	4 175	0.07×
Alcance (visualizaciones ÷ seguidores)	11.89%	2.5× audience	0.05×
Tasa de interacción	3.44%	1.41%	2.44×

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

12.1K3 Sep

404

589

297

311

262

224

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.42%3 Sep

2.48%

2.38%

4.04%

3.54%

3.44%

3.57%

Reactions — likes, reposts, replies and quotes — divided by views. Median for under 10K accounts is 1.41%.

What the audience does

Likes65.3%186 in total

Reposts9.8%28 in total

Replies4.9%14 in total

Quotes2.8%8 in total

Bookmarks17.2%49 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.

Últimas publicaciones

Frente a cuentas del mismo tamaño

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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