Kevin Patrick Murphy✓ Add us as a preferred source on Google
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👤Unclaimed listing
Auto-generated from Kevin Patrick Murphy’s publicly available X info.
Kevin Patrick Murphy hasn’t claimed, verified, or endorsed it, and is not affiliated with, sponsored by, or a partner of SocialDB. Any rates shown are estimates, not set by the creator.
Followers
74.6K
Posts
1.2K
Following
750
Account age
10 yrs
🎁 Free analysisfor Kevin Patrick Murphy
Known for
445.7K views
The trilogy is complete! My "Advanced Topics" book is officially released today. Buy it on Amazon, or get it for free at https://t.co/yWK8zMbMRA.
321.2K views
I am happy to announce that the first draft of my RL tutorial is now available.
https://t.co/SjMdabl0yW
122.8K views
I am pleased to announce a new version of my RL tutorial. Major update to the LLM chapter (eg DPO, GRPO, thinking), minor updates to the MARL and MBRL chapters and various sections (eg offline RL, DPG, etc). Enjoy!
https://t.co/SjMdabl0yW
92.8K views
I'm pleased to announce another (fairly minor) update to my RL tutorial (I fixed some typos, cited more papers, and added a wee bit more stuff on multi-agent RL and RL for LLMs). I don't have time to work on this anymore, so enjoy it as is! (Link below)
📊 Post performance
Recent posts · views
Jan 3latest
227.9K
Avg views / post
115.4K–328.4K
Typical post (views)
3.1×
Reach vs followers
69/100
Consistent reach
Oct 2016
On X since
Half of recent posts land between 115.4K and 328.4K views (median 227.9K) — a dependable floor a sponsored post can count on.
🔥 Top post: While GenAI is fun, I think its economic value is grossly over e · 620.6K views
📊 Activity & format
Posting cadence
0.09 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly images
Recent: 0 video · 9 image · 9 text.
Follower / following
100×
Follows 750 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 ↗
I'm pleased to announce another (fairly minor) update to my RL tutorial (I fixed some typos, cited more papers, and added a wee bit more stuff on multi-agent RL and RL for LLMs). I don't have time to work on this anymore, so enjoy it as is…
Finally, a good modern book on causality for ML: https://t.co/jsHdpOEb96 by @eliasbareinboim. This looks like a worthy successor to the ground breaking book by @yudapearl which I read in grad school. (h/t @JoshuaSafyan for the ref).
I am pleased to announce a new version of my RL tutorial. Major update to the LLM chapter (eg DPO, GRPO, thinking), minor updates to the MARL and MBRL chapters and various sections (eg offline RL, DPG, etc). Enjoy!
https://t.co/SjMdabl0yW
I am pleased to announce that I have updated the online versions of my 2 textbooks (see https://t.co/se6sLMqALR): I fixed all issues listed on github, added some new references (esp on LLMs), and made a few other small tweaks.
I'm happy to announce that v2 of my RL tutorial is now online. I added a new chapter on multi-agent RL, and improved the sections on 'RL as inference' and 'RL+LLMs' (although latter is still WIP), fixed some typos, etc.
Wait till they start reasoning in continuous latent space (why restrict the model to human legible discrete tokens? )
I am happy to announce that the first draft of my RL tutorial is now available.
https://t.co/SjMdabl0yW
The trilogy is complete! My "Advanced Topics" book is officially released today. Buy it on Amazon, or get it for free at https://t.co/yWK8zMbMRA.
I like this paper. They prove that transformers are guaranteed to suffer from compounding errors when doing long reasoning chains (as @ylecun has argued), and much apparent "success" is just due to unreliable pattern matching / shortcut l…
I am delighted to announce that the "real" camera-ready version of my new book, "Probabilistic Machine Learning: Advanced Topics", is now available. It will appear in print this summer, but it is already freely available online at
I am delighted to announce that the camera-ready version of my new book, "Machine Learning: Advanced Topics", is finally available online for free at https://t.co/XjR3nnLtOI (@mitpress will publish the hard copy in 2023.)
💡 Facts
🗓️Joined X in 2016 — 10 years ago.
👁️Averages 227.9K views per post.
📤Posts about 0.1× per week.
💬3.89% engagement rate.
🏅Earned the 10K Followers for passing 10K followers.
🕵️ Fake follower check
Estimated69/100
Good
Credibility score
85%
Real
Real audience
Low
Fake-follower risk
High
Data confidence
- Est. 85% real, active audience · Low fake-follower risk.
- Engagement (~3.1× of followers engage each post) is around typical for X.
- Organic base — far more followers than accounts it follows.
- Verified account.
- Established account (10+ years old).
- 3.89% engagement — below the ~8.8% typical for this size.
Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.
About
Research Scientist at Google DeepMind. Interested in Bayesian Machine Learning.
📸 Gallery
🔀 Audience overlap
EstimatedEstimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.
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Kevin Patrick Murphy has 74,627 followers on X.
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