Russ Salakhutdinov✓ Add us as a preferred source on Google

X @rsalakhu

⚔ Compare ☆ Follow Own this channel?

🔄 Data last refreshed 1 month ago

🤝

Make a deal with Russ Salakhutdinov

🔒 Paid proposals held safely in escrow — released only when the work's approved.

Followers

128.3K

Posts

1.8K

Following

200

Account age

11 yrs

🎁 Free analysisfor Russ Salakhutdinov

🕵️Fake Followers CheckReal-audience % & bot risk→ 📊Engagement rateBenchmarked vs. peers→ 💰What they chargeFair sponsored-post price→

📊 Post performance

202.3K

Avg views / post

1.6×

Reach vs followers

Jan 2015

On X since

🔥 Top post: I get asked a lot: why stay in academia, all the excitement in A · 454.3K views

📊 Activity & format

Posting cadence

0.04 / week

A lower-frequency account — each post lands with more weight.

Content mix

Mostly text

Recent: 0 video · 5 image · 13 text.

Follower / following

641×

Follows 200 back. A strong ratio — an audience that follows them, not a follow-for-follow network.

Verification

✓ X Premium

A paid X Premium (Blue) verified account.

Recent posts

View on X ↗

🔥 Top post I get asked a lot: why stay in academia, all the excitement in AI is happening in industry with massive compute. And I am seeing some profs leaving academia, but also seeing lots of researchers in industry looking to go back to academia, especially those who don’t work on LLMs. 454.3K❤ 1.3K🔁 200

Being in academia is amazing. Being in industry is exciting. Being in both is electrifying. 93.1K❤ 925🔁 100 I hear a lot of folks in our AI community complain about openAI -- they don't publish, don't release models, maximum-for-profit, etc., so they are more like closedAI rather than openAI. This is true, but you have to give it to those guys … 208.7K❤ 869🔁 108 To be fair, @openAI had a big impact on AI/ML. Their OpenAI Gym env for RL, their CLIP - a de facto model for any image-text research, their Whisper speech recognition is amazing - all open sourced. In my view, they've had a bigger impact… 202.3K❤ 806🔁 64 1/3 I think we should coin a new term: social media AI researcher, where instead of publishing your work at the rigorous peer review venue, you tweet about your findings and opinions. There are huge advantages: 1. It is easy: you don't ha… ❤ 612🔁 74 1/4 I was watching @geoffreyhinton interview w/t @pabbeel - it reminded me of a couple fun stories about Geoff and how he got me into deep learning. Back in 2005, I was not thinking about PhD & had a good career as ML engineer. One mo… ❤ 570🔁 52 3) My advise to deep learning PhD students is to also learn variational inference, belief propagation, MCMC, HMMs, graphical models, generative models, etc. -- no matter how irrelevant you think this is for the current speech, vision, and … ❤ 698🔁 98 1) My observation when working at Apple and many other industrial partners is that deep learning researchers who are well versed in graphical models, variational inference, CRFs, MCMC, uncertainty quantification are on average much more cr… ❤ 1.1K🔁 167

New #ICLR2021 paper on Self-supervised Learning with Relative Predictive Coding: A new contrastive learning objective that maintains a good balance between training stability, minibatch size sensitivity, & downstream task performance. … ❤ 695🔁 143 Got promoted to a full professor at CMU:) Thanks to my amazing students, collaborators, and my mentors. CMU is a remarkable place, but what makes it truly unique is its brilliant students! Hard to find a better place to do ML and AI. ❤ 2.7K🔁 136 Someone told me once: You can do AI or you can just talk about it. #AIDebate ❤ 854🔁 160

Congratulations to Zhilin Yang for successfully defending his PhD thesis at CMU in just 4 years! Zhilin introduced XL-Net, Transformer-XL, Mixture of Softmaxes High-Rank LM, HotpotQA, GLoMo Unsupervised Learning of Relational Graphs, jus… ❤ 745🔁 72

💡 Facts

🗓️Joined X in 2015 — 11 years ago.

👁️Averages 202.3K views per post.

📤Posts about 0× per week.

💬0.85% engagement rate.

🏅Earned the 100K Followers for passing 100K followers.

🕵️ Fake follower check

Estimated

69/100

Good Credibility score

85%

Real Real audience

Low Fake-follower risk

High Data confidence

Est. 85% real, active audience · Low fake-follower risk.
Engagement (~1.6× of followers engage each post) is around typical for X.
Organic base — far more followers than accounts it follows.
Verified account.
Established account (11+ years old).
0.85% engagement — below the ~14.4% typical for this size.

Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.

About

CSO @ Sooth Labs, Professor @ CMU, President Elect ICML Board, Ex-VP of Research @ Meta (Multimodal LLMs, AI Agents), ex-Director of AI at @Apple

📸 Gallery

🔀 Audience overlap

Estimated

Estimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.

Brachy 18%

Orin Kerr 17%

Yvonne Okwara 13%

Bobby Carpenter 11%

Proton Mail 11%

Emis Killa 10%

More like this

Frequently asked questions

How much does Russ Salakhutdinov charge for a sponsorship?

Russ Salakhutdinov hasn't published fixed prices yet. Send a proposal through SocialDB and agree terms directly — your payment is held in escrow until the work is approved.

How do I contact Russ Salakhutdinov for a brand deal or collaboration?

Send a paid deal or collab request right here on SocialDB — we notify Russ Salakhutdinov, and once they accept, your payment is held safely in escrow and released when the work is approved. You don't need to track down an email.

How many followers does Russ Salakhutdinov have?

Russ Salakhutdinov has 128,284 followers on X.

Auto-generated from X's public data — no affiliation with or endorsement by SocialDB. Is this you? Claim it · Remove