Jitendra MALIK ✓
@JitendraMalikCV · joined 04 Dec 2021
Prof, EECS, UC Berkeley. VP & Distinguished Scientist, Amazon. https://t.co/sFAc0Y7opv
11 602Followers
124Following
119Posts total
725.4KViews on collected posts
Postingan terbaru
Mencari postingan baru…
@JitendraMalikCV from teaching this stuff: also please don't add to the confusion by putting CLIP-style models with Llava-style ones in one bucket.
mostly seeing the former being called VLMs and the latter MLLMs or more rarely VLLMs.
507 views · 7 likes
· 1 reposts · 2 replies
Open on X →
@JitendraMalikCV @ylecun That VQA captures only the statics and not the dynamics, you're just making that up lol
VQA captures whatever you put into the data and yes, that can and does absolutely include dynamics.
4.8K views · 34 likes
· 2 reposts · 2 replies
Open on X →
@JitendraMalikCV Exactly.
We also should not confuse world models, as per your definition, with video prediction or video generation models.
Understanding the dynamics of a system in order to control it is not the same as producing cute videos.
35K views · 236 likes
· 13 reposts · 19 replies
Open on X →
Scientific terms should have precision. If we use the terms VLM, VLA, WAM in an indiscriminate fashion, as is becoming common in robotics, we are not helping clarity in communication. Let's keep the historical origins of these terms in mind. VLMs arose as multimodal extensions of
72.3K views · 768 likes
· 94 reposts · 23 replies
Open on X →
Nice idea to train to predict future sensory inputs along with action sequences. @ir413 Ilija Radosavovic et al (NeurIPS 2024) showed this for humanoid locomotion but the idea is perfectly general https://t.co/PH4gtpUF7E PS: Calling these models VLAs is a stretch.
24.8K views · 162 likes
· 13 reposts · 2 replies
Open on X →
I concur, and the point is broader than just for Biology. Science does not advance by "pure thinking" alone. We need to do experiments, and interpret the results of those experiments, which in turn raises new questions which are resolved by new experiments.
42.6K views · 182 likes
· 19 reposts · 10 replies
Open on X →
Highly performant open weights frontier models such as Kimi are a competitive threat to OpenAI & Anthropic, but probably for everyone else these are a win. Hope more US entities will release top quality open weights models as well. Government regulation of AI models to prevent
37.4K views · 322 likes
· 24 reposts · 15 replies
Open on X →
Novel approach to training tactile policies..
33.6K views · 190 likes
· 14 reposts · 3 replies
Open on X →
This was my final Ph.D. work co-led by Rosy Chen and I.
Prior work fixates on zero-shot sim-to-real resulting in compromises such as the choice of simple sensors like proprioception.
With PTLD we show that if you're allowed to collect a little real data, you can actually deploy
37K views · 82 likes
· 6 reposts · 2 replies
Open on X →
@JitendraMalikCV Sam 3D was extremely cool. Best of luck!
745 views · 0 likes
· 0 reposts · 0 replies
Open on X →
2/4 I am proud of the various accomplishments from our computer vision and embodied AI teams at FAIR over the years: video action recognition models, Ego4D, Ego-Exo4D, the Habitat Simulation environment, tactile sensors (DIGIT 360) and policies for dexterous manipulation.
18.2K views · 130 likes
· 0 reposts · 2 replies
Open on X →
3/4 Most recently, we released a major advance in 3D vision: SAM 3D, which has the capability to reconstruct any object in 3D starting from just a single image. It has been a great run of research accomplishments in vision and robotics.
89.8K views · 153 likes
· 4 reposts · 3 replies
Open on X →
4/4 But it is time to move on, and I look forward to collaborating with colleagues such as Pieter Abbeel and Peter Chen to advance intelligent robotics at Amazon.
19.7K views · 177 likes
· 0 reposts · 3 replies
Open on X →
1/4 For the last several years I worked part-time at the FAIR lab at Meta, in addition to being a professor at UC Berkeley. That phase is now over, and starting Jan. 5, I will be leading a robotics research effort at Amazon FAR in San Francisco, while continuing at Berkeley.
308.9K views · 1.5K likes
· 46 reposts · 49 replies
Open on X →
Dibandingkan akun berukuran sama
9 postingan dari 90 hari terakhir, dibandingkan dengan rentang 10K–100K pengikut. tampil luas, tetapi sedikit penonton yang merespons.
Median tayangan35 014akun ini995median untuk 10K–100K
Jangkauan, %301.79%akun ini3.59%median untuk 10K–100K
Interaksi, %0.78%akun ini1.92%median untuk 10K–100K
| Metrik | Akun ini | Median untuk 10K–100K | Rasio |
|---|---|---|---|
| Median tayangan per postingan | 35 014 | 995 | 35.2× |
| Jangkauan (tayangan ÷ pengikut) | 3.0× audience | 3.59% | 84.1× |
| Tingkat interaksi | 0.78% | 1.92% | 0.41× |
Akun lain pada rentang ini → Bandingkan dengan akun lain → Bagaimana tolok ukur ini disusun →
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
308.9K4 Jan
19.7K
89.8K
18.2K
745
37K11 Jul
33.6K13 Jul
37.4K21 Jul
42.6K7 Aug
24.8K23 Aug
72.3K
35K
4.8K
50724 Aug
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.52%4 Jan
0.92%
0.18%
0.72%
0.00%
0.25%11 Jul
0.62%13 Jul
0.97%21 Jul
0.50%7 Aug
0.72%23 Aug
1.23%
0.78%
0.78%
1.97%24 Aug
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.92%.
What the audience does
Likes74.9%3 938 in total
Reposts4.5%236 in total
Replies2.6%135 in total
Quotes0.6%34 in total
Bookmarks17.4%914 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
Followers by day
5 Sep
Daily snapshots since 05 Sep 2026; the dashed line is the starting count.
Akun serupa
Kamla Choudhary
@KamlaCh59282170
23.2K followers
· 99.2K posts
The Rite Wabbit
@RiteWabbit
23.2K followers
· 57.6K posts
PATRON ✓
@UTDPatron
23.2K followers
· 29.1K posts
Sultan ☪︎
@OnlyBergkamp
23.2K followers
· 8.4K posts
Paul O’Connor
@POCX100
23.2K followers
· 203.6K posts
P ✓
@p1abypia
23.2K followers
· 104.8K posts
Adi Prayitno
@Adiprayitno_20
23.2K followers
· 3.5K posts
POKO 🐡⛓️ | Pufferfish Bossu ✓
@PokoPokyu
23.2K followers
· 18.6K posts