AI ✓

@DeepLearn007 · joined 23 Sep 2012

135 760Followers

108 864Following

65 050Posts total

1.4MViews on collected posts

Derniers posts

AI ✓@DeepLearn0071 Sep

I hope you being back some innovation to Apple 4K views · 7 likes · 2 reposts · 0 replies Open on X →

AI ✓@DeepLearn0071 Sep

The future of warfare and criminal gangs will probably use this technology soon too 4.3K views · 11 likes · 4 reposts · 2 replies Open on X →

AI ✓@DeepLearn00731 Aug

A ROBOT DOG AND A DRONE ARE SHOOTING FIREWORKS AT EACH OTHER IN AN OPEN FIELD. THIS IS NOT A MOVIE. dirt field. empty lot. a four-legged robot dog with firework rockets strapped to its back fires them into the air. a drone hovers above it firing back. sparks fly everywhere. http 1.3M views · 5K likes · 1.5K reposts · 304 replies Open on X →

AI ✓@DeepLearn00730 Aug

And they grew under his leadership whilst losing their innovation. 3.5K views · 11 likes · 7 reposts · 1 replies Open on X →

AI ✓@DeepLearn00730 Aug

Yes making AI more energy efficient will be key to enabling AI to scale into physical AI 1.7K views · 5 likes · 2 reposts · 2 replies Open on X →

AI ✓@DeepLearn00730 Aug

Energy efficiency of our brains vs AI systems remains a marvel 2K views · 14 likes · 7 reposts · 2 replies Open on X →

AI ✓@DeepLearn00730 Aug

Your brain thinks on about 20 watts. An artificial system doing the same work would need roughly 25 million times more energy, enough, on paper, to supply a quarter of a million homes. Matching the complexity of a human cortex has been a long standing goal in computing, but the 58K views · 564 likes · 139 reposts · 46 replies Open on X →

AI ✓@DeepLearn00731 Jul

Your brain runs on about 20 watts. And the future of AI might learn that way as well, instead of relying on bigger data centers. 👀 "Scientists developed GCML (Generative Cognitive Map Learner), a brain-inspired AI that mimics how the hippocampus builds cognitive maps to https:/ 13.8K views · 226 likes · 51 reposts · 7 replies Open on X →

Face aux comptes de taille comparable

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

Vues médianes4 002ce compte5 983médiane pour 100K–1M

Portée, %2.95%ce compte1.49%médiane pour 100K–1M

Engagement, %0.54%ce compte0.93%médiane pour 100K–1M

Indicateur	Ce compte	Médiane pour 100K–1M	Rapport
Vues médianes par post	4 002	5 983	0.67×
Portée (vues ÷ abonnés)	2.95%	1.49%	1.98×
Taux d'engagement	0.54%	0.93%	0.58×

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

13.8K31 Jul

58K30 Aug

1.7K

3.5K

1.3M31 Aug

4.3K1 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

2.10%31 Jul

1.33%30 Aug

1.16%

0.53%

0.60%

0.54%31 Aug

0.49%1 Sep

0.22%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes69.5%5 799 in total

Reposts20.1%1 680 in total

Replies4.4%364 in total

Quotes5.8%487 in total

Bookmarks0.1%10 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.

Derniers posts

Face aux comptes de taille comparable

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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