Peyman Milanfar ✓

@docmilanfar · joined 02 Feb 2014

Distinguished Scientist at Google. National Academy of Engineering. Computational Imaging ∩ AI. Posts are personal opinions

117 149Followers

611Following

8 592Posts total

533.3KViews on collected posts

Derniers posts

Peyman Milanfar ✓@docmilanfar15 Sep

Congratulations to Glass Imaging on their acquisition by OpenAI for $300M . It’s great to see a big investment in computational imaging. As I’ve said before: The camera is the future of intelligence. https://t.co/QPvDdKSXcm https://t.co/denCGNEnbp

4.9K views · 47 likes · 2 reposts · 4 replies Open on X →

Peyman Milanfar ✓@docmilanfar13 Sep

@docmilanfar Yes. Intelligence without verification isn’t useful to society. See: https://t.co/iw3m0Ffw9a 268 views · 5 likes · 0 reposts · 1 replies Open on X →

Peyman Milanfar ✓@docmilanfar13 Sep

@docmilanfar thank goodness. a voice for realism grounded in known science. 1.6K views · 3 likes · 0 reposts · 0 replies Open on X →

Peyman Milanfar ✓@docmilanfar12 Sep

@docmilanfar What do you mean by “Systems that reliably improve themselves will be slow”? If the timeline is few weeks/months, I guess that the speed limit can be high? 5.5K views · 4 likes · 0 reposts · 1 replies Open on X →

Peyman Milanfar ✓@docmilanfar12 Sep

Why you can’t do RSI as fast as you like - https://t.co/YG05zw2vnG 427.4K views · 919 likes · 110 reposts · 57 replies Open on X →

Peyman Milanfar ✓@docmilanfar11 Sep

A tragic but necessary part of adulthood is learning to keep certain memories buried. Yet some days, the embers of a dark memory catch the wind, and you feel the despair as clearly as the first time. IX XI 12.5K views · 138 likes · 2 reposts · 1 replies Open on X →

Peyman Milanfar ✓@docmilanfar11 Sep

when they ask me to write an invited paper 29K views · 107 likes · 2 reposts · 0 replies Open on X →

Peyman Milanfar ✓@docmilanfar9 Sep

They spent $15M in compute to solve a problem with a $1M prize. Nice. 52.1K views · 419 likes · 19 reposts · 12 replies Open on X →

Face aux comptes de taille comparable

8 posts des 90 derniers jours, à côté de la tranche de 100K–1M abonnés. diffusé largement, mais peu de ces spectateurs réagissent.

Vues médianes9 029ce compte5 948médiane pour 100K–1M

Portée, %7.71%ce compte1.60%médiane pour 100K–1M

Engagement, %0.62%ce compte1.04%médiane pour 100K–1M

Indicateur	Ce compte	Médiane pour 100K–1M	Rapport
Vues médianes par post	9 029	5 948	1.52×
Portée (vues ÷ abonnés)	7.71%	1.60%	4.82×
Taux d'engagement	0.62%	1.04%	0.60×

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

52.1K9 Sep

29K11 Sep

12.5K

427.4K12 Sep

5.5K

1.6K13 Sep

268

4.9K15 Sep

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.86%9 Sep

0.38%11 Sep

1.12%

0.25%12 Sep

0.09%

0.18%13 Sep

2.24%

1.09%15 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.04%.

What the audience does

Likes49.7%1 642 in total

Reposts4.1%135 in total

Replies2.3%76 in total

Bookmarks44.0%1 453 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.