MIT CSAIL ✓

@MIT_CSAIL · Cambridge, MA · joined 14 Oct 2009

MIT's Computer Science & Artificial Intelligence Laboratory (CSAIL). Media Inquiries: rachelg@csail.mit.edu Check out the latest CSAIL content ⬇️

349 617Followers

20 431Following

6 733Posts total

134.9KViews on collected posts

Neueste Beiträge

MIT CSAIL ✓@MIT_CSAIL8 Sep

Now that it’s been out for a few days, what are your thoughts on GPT-6 Astra? 2.4K views · 11 likes · 1 reposts · 5 replies Open on X →

MIT CSAIL ✓@MIT_CSAIL8 Sep

h/t @swapnakpanda 835 views · 1 likes · 0 reposts · 1 replies Open on X →

MIT CSAIL ✓@MIT_CSAIL6 Sep

What's the most underrated invention? (v/@engineers_feed) 11.8K views · 19 likes · 1 reposts · 12 replies Open on X →

MIT CSAIL ✓@MIT_CSAIL5 Sep

Shapes can look quite different, depending on your point of view. v/@TheMathFlow https://t.co/xcUoDr8sV8

0:39

28K views · 476 likes · 81 reposts · 6 replies Open on X →

MIT CSAIL ✓@MIT_CSAIL4 Sep

@MIT_CSAIL Machine learning is a vast field, and having a structured guide can be quite helpful for those just starting their journey. Does this resource focus more on the mathematical foundations or the practical implementation of algorithms? 1.4K views · 1 likes · 0 reposts · 0 replies Open on X →

MIT CSAIL ✓@MIT_CSAIL4 Sep

A free beginner’s guide to machine learning: https://t.co/iuIbhmL14F v/swapnakpanda on X https://t.co/grYD50kTXd

41.9K views · 1.2K likes · 147 reposts · 7 replies Open on X →

MIT CSAIL ✓@MIT_CSAIL30 Aug

@MIT_CSAIL https://t.co/wIqVq8XzxM

GIF

42 views · 0 likes · 0 reposts · 0 replies Open on X →

MIT CSAIL ✓@MIT_CSAIL27 Aug

MIT CSAIL researchers recently exploited a split-second gap in chip security. The newly discovered flaw can be exploited to reveal sensitive data in Intel & AMD hardware: https://t.co/c8DmyiBKlM https://t.co/RhUQJfU0rz

0:33

48.6K views · 125 likes · 19 reposts · 9 replies Open on X →

Im Vergleich zu Konten gleicher Größe

8 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 100K–1M Follower. übliche Reichweite für diese Größe, schwächere Reaktion als bei den meisten.

Medianaufrufe7 092dieses Konto4 785Median für 100K–1M

Reichweite, %2.03%dieses Konto1.71%Median für 100K–1M

Interaktion, %0.30%dieses Konto1.26%Median für 100K–1M

Kennzahl	Dieses Konto	Median für 100K–1M	Verhältnis
Medianaufrufe pro Beitrag	7 092	4 785	1.48×
Reichweite (Aufrufe ÷ Follower)	2.03%	1.71%	1.19×
Interaktionsrate	0.30%	1.26%	0.24×

Weitere Konten dieser Größe → Mit einem anderen Konto vergleichen → Wie diese Vergleichswerte entstehen →

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

48.6K27 Aug

4230 Aug

41.9K4 Sep

1.4K

28K5 Sep

11.8K6 Sep

8358 Sep

2.4K

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

0.32%27 Aug

0.00%30 Aug

3.21%4 Sep

0.07%

2.03%5 Sep

0.27%6 Sep

0.24%8 Sep

0.71%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.26%.

What the audience does

Likes49.9%1 821 in total

Reposts6.8%249 in total

Replies1.1%40 in total

Quotes0.2%8 in total

Bookmarks41.9%1 528 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.