🤝
Make a deal with Lilian Weng
🔒 Paid proposals held safely in escrow — released only when the work's approved.
Followers
289K
Posts
218
Following
190
Account age
16 yrs
💰 Suggested sponsorship rate
$1.6K – $2.6K / sponsored post
Estimated from audience size & typical reach — every deal is negotiable and held in SocialDB escrow.
🎁 Free analysisfor Lilian Weng
Known for
974.5K views
After working at OpenAI for almost 7 years, I decide to leave. I learned so much and now I'm ready for a reset and something new.
Here is the note I just shared with the team. 🩵
436.7K views
In the past few months, we had a lot of fun (and stress 😅) to produce 12 versions (+ many subversions) and 137 pages in our training run log book.
Turns out human-human collaboration is important to improving human-AI collaboration. 😊
218.2K views
GPUs are expensive and setting up the infrastructure to make GPUs work for you properly is complex, making experimentation on cutting-edge models challenging for researchers and ML practitioners.
Providing high quality research tooling is one of the most effective ways to
📊 Post performance
329.1K
Avg views / post
1.1×
Reach vs followers
Dec 2009
On X since
🔥 Top post: Just had a quite emotional, personal conversation w/ ChatGPT in · 5.2M views
📊 Activity & format
Posting cadence
0.05 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly text
Recent: 0 video · 3 image · 15 text.
Follower / following
1.5K×
Follows 190 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 ↗
In the past few months, we had a lot of fun (and stress 😅) to produce 12 versions (+ many subversions) and 137 pages in our training run log book.
Turns out human-human collaboration is important to improving human-AI collaboration. 😊
GPUs are expensive and setting up the infrastructure to make GPUs work for you properly is complex, making experimentation on cutting-edge models challenging for researchers and ML practitioners.
Providing high quality research tooling i…
Giving your models more time to think before prediction, like via smart decoding, chain-of-thoughts reasoning, latent thoughts, etc, turns out to be quite effective for unblocking the next level of intelligence.
New post is here :)
“Why…
This is something we have been cooking together for a few months and I'm very excited to announce it today.
Thinking Machines Lab is my next adventure and I'm feeling very proud and lucky to start it with a group of talented colleagues. L…
🦃 At the end of Thanksgiving holidays, I finally finished the piece on reward hacking. Not an easy one to write, phew.
Reward hacking occurs when an RL agent exploits flaws in the reward function or env to maximize rewards without learnin…
After working at OpenAI for almost 7 years, I decide to leave. I learned so much and now I'm ready for a reset and something new.
Here is the note I just shared with the team. 🩵
About 650 / 770 signed at this moment. As people start waking up, more will come. All the efforts started after 1:30 AM, 500+ within two hours and all of this after 2 crazy days with very little sleep.
OpenAI is nothing without its people
Agent = LLM + memory + planning skills + tool use
This is probably just a start of a new era :)
🛠 New posts on Prompt Engineering: Steer a large pretrained language model to do what you want wo/ updating the model weights.
https://t.co/bEw3ZcmDuY
Most importantly this just introduces general ideas, but for your own problem, you alw…
🦖Large Transformers are powerful but expensive to train & use. The extremely high inference cost is a big bottleneck for adopting them for solving real-world tasks at scale. Check out my new post on some ideas on inference optimization…
💡 Facts
🗓️Joined X in 2009 — 16 years ago.
👁️Averages 329.1K views per post.
📤Posts about 0.1× per week.
💬0.92% engagement rate.
🏅Earned the 100K Followers for passing 100K 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 (~1.1× of followers engage each post) is around typical for X.
- Organic base — far more followers than accounts it follows.
- Verified account.
- Established account (16+ years old).
- 0.92% 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
Co-founder of Thinking Machines Lab @thinkymachines; Ex-VP, AI Safety & robotics, applied research @OpenAI; Author of Lil'Log
📸 Gallery
🔀 Audience overlap
EstimatedEstimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.
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18%
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16%
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16%
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12%
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11%
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Lilian Weng has 288,973 followers on X.
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