Dan Roy ✓

@roydanroy · London · joined 02 Jun 2009

@Google DeepMind. On leave, Canada CIFAR AI Chair and Former Research Director, @VectorInst. Professor, @UofT (Statistics/CS). Views are my own.

68 401Followers

2 047Following

28 258Posts total

457.6KViews on collected posts

Derniers posts

Dan Roy ✓@roydanroy13 Sep

100% this. 6.4K views · 11 likes · 0 reposts · 1 replies Open on X →

Dan Roy ✓@roydanroy13 Sep

Hands down a cargo e-bike has been my best SF purchase since covid. The freedom to ride by something and think, "oh lets stop there and get ice cream" or "oh hey that matcha place doesn't have a line right now" and be able to park for free right in front of it opens the door to

17K views · 75 likes · 1 reposts · 10 replies Open on X →

Dan Roy ✓@roydanroy10 Sep

That's some backbone. 👏👏👏 9K views · 15 likes · 0 reposts · 1 replies Open on X →

Dan Roy ✓@roydanroy9 Sep

Navier Stokes represents a new moment for AI. Hopefully, OpenAI will turn its attention to problems of societal importance, like DeepMind has, and to the mathematical foundations of AI alignment, which are sorely lacking. 12K views · 108 likes · 7 reposts · 0 replies Open on X →

Dan Roy ✓@roydanroy3 Sep

Out with it already. 5.6K views · 20 likes · 0 reposts · 2 replies Open on X →

Dan Roy ✓@roydanroy8 May

Just some personal thoughts now that the AI co-mathematician tech report is public... First, I'm so excited to see the co-mathematician team's hard work out for the world to preview. 💪+🦾=🔥 The team has built a system for mathematicians, with mathematicians. The fact it's now 64.5K views · 253 likes · 26 reposts · 12 replies Open on X →

Dan Roy ✓@roydanroy8 May

The future of Math is mathematicians and AI agents working together. Very pleased to introduce @GoogleDeepMind's AI co-mathematician: a multi-agent system designed to actively collaborate with human experts on open-ended research mathematics. Mathematicians testing the agent

343.1K views · 2.6K likes · 366 reposts · 171 replies Open on X →

Face aux comptes de taille comparable

5 posts des 90 derniers jours, à côté de la tranche de 10K–100K abonnés. diffusé largement, mais peu de ces spectateurs réagissent.

Vues médianes8 955ce compte924médiane pour 10K–100K

Portée, %13.09%ce compte3.62%médiane pour 10K–100K

Engagement, %0.40%ce compte1.52%médiane pour 10K–100K

Indicateur	Ce compte	Médiane pour 10K–100K	Rapport
Vues médianes par post	8 955	924	9.69×
Portée (vues ÷ abonnés)	13.09%	3.62%	3.62×
Taux d'engagement	0.40%	1.52%	0.26×

Autres comptes de cette tranche → Comparer avec un autre compte → Comment ces repères sont établis →

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

343.1K8 May

64.5K

5.6K3 Sep

12K9 Sep

9K10 Sep

17K13 Sep

6.4K

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

0.93%8 May

0.45%

0.40%3 Sep

0.96%9 Sep

0.18%10 Sep

0.52%13 Sep

0.19%

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

What the audience does

Likes65.6%3 056 in total

Reposts8.6%400 in total

Replies4.2%197 in total

Quotes1.5%70 in total

Bookmarks20.0%932 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.