tweetindex
PT

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 ⬇️

350 347Followers
20 431Following
6 742Posts total
314.7KViews on collected posts

Posts recentes

Beginner-friendly LLM course exploring foundations, architectures, training, deployment, and current trends: https://t.co/4lQcEGmPR5 v/@Hesamation https://t.co/vNzieQyhgq
3.6K views · 89 likes · 16 reposts · 2 replies Open on X →
A guide to statistics for beginners: https://t.co/ybZEEUCMK4 v/@OACerebro https://t.co/338QSPTvxM
88.9K views · 1.9K likes · 291 reposts · 9 replies Open on X →
Time capsule: What a late-'90s high school computer lab looked like, featuring students "surfing the Web." v/@timecaptales https://t.co/os6ABt75cn
0:49
17.8K views · 253 likes · 49 reposts · 7 replies Open on X →
Today would have been the 85th birthday of Dennis Ritchie (left), inventor of C and co-creator of Unix. (Image v/Ritchie family archives) https://t.co/pJJ0NPLPYM
14.1K views · 624 likes · 128 reposts · 7 replies Open on X →
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 →
h/t @swapnakpanda 835 views · 1 likes · 0 reposts · 1 replies Open on X →
What's the most underrated invention? (v/@engineers_feed) 11.8K views · 19 likes · 1 reposts · 12 replies Open on X →
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 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 →
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 https://t.co/wIqVq8XzxM
GIF
42 views · 0 likes · 0 reposts · 0 replies Open on X →
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
50.1K views · 126 likes · 19 reposts · 10 replies Open on X →
Happy birthday to the World Wide Web! MIT professor Tim Berners-Lee’s invention was initially described by his CERN supervisor as “vague but exciting”: https://t.co/oSmyhErvQG (v/@timberners_lee & @webfoundation, image courtesy of Sotheby’s) https://t.co/XGFUlLvydi
53.9K views · 640 likes · 207 reposts · 5 replies Open on X →

Em comparação com contas do mesmo porte

12 posts dos últimos 90 dias, ao lado da faixa de 100K–1M seguidores. aparece muito além do próprio público, e esse público reage.

Mediana de visualizações12 953esta conta5 983mediana para 100K–1M
Alcance, %3.70%esta conta1.49%mediana para 100K–1M
Engajamento, %1.23%esta conta0.93%mediana para 100K–1M
MétricaEsta contaMediana para 100K–1MProporção
Mediana de visualizações por post12 9535 9832.16×
Alcance (visualizações ÷ seguidores)3.70%1.49%2.48×
Taxa de engajamento1.23%0.93%1.32×

Outras contas desta faixa →   Comparar com outra conta →   Como estas referências são construídas →

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

53.9K12 Mar
50.1K27 Aug
4230 Aug
41.9K4 Sep
1.4K
28K5 Sep
11.8K6 Sep
8358 Sep
2.4K
14.1K9 Sep
17.8K11 Sep
88.9K12 Sep
3.6K13 Sep

Last 13 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.62%12 Mar
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%
5.38%9 Sep
1.74%11 Sep
2.52%12 Sep
2.96%13 Sep

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

What the audience does

Likes51.7%5 367 in total
Reposts9.0%940 in total
Replies0.7%71 in total
Quotes0.3%31 in total
Bookmarks38.3%3 979 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.

Contas semelhantes