Quoc Le✓ Add us as a preferred source on Google
🔄 Data last refreshed 1 month ago
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Make a deal with Quoc Le
🔒 Paid proposals held safely in escrow — released only when the work's approved.
Followers
79.8K
Posts
595
Following
96
Account age
8 yrs
💰 Suggested sponsorship rate
$447 – $726 / sponsored post
Estimated from audience size & typical reach — every deal is negotiable and held in SocialDB escrow.
🎁 Free analysisfor Quoc Le
📊 Post performance
59K
Avg views / post
74%
Reach vs followers
Apr 2018
On X since
🔥 Top post: New York Times article on AlphaGeometry Geometry was my favorit · 205.9K views
📊 Activity & format
Posting cadence
0.06 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly images
Recent: 1 video · 14 image · 3 text.
Follower / following
831×
Follows 96 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 ↗
Excited to share that a scaled up version of Gemini DeepThink achieves gold-medal standard at the International Mathematical Olympiad. This result is official, and certified by the IMO organizers.
Watch out this space, more to come soon!
New open-source language model from Google AI: Flan-T5 🍮
Flan-T5 is instruction-finetuned on 1,800+ language tasks, leading to dramatically improved prompting and multi-step reasoning abilities.
Public models: https://t.co/bnYVnocJW2
Pap…
We can teach a language model to solve complex problems by showing it how to break down a problem into subproblems, and solve them sequentially.
This “least-to-most prompting” method solves 99.7% of SCAN benchmark while other prompting me…
Primer: Searching for Efficient Transformers for Language Modeling
https://t.co/RJ7IfdBvKo
We use evolution to design a new Transformer variant, called Primer. Primer has a better scaling law, and is 3X to 4X faster for training than Tra…
Some nice improvement on ImageNet: 90% top-1 accuracy has been achieved :-)
This result is possible by using Meta Pseudo Labels, a semi-supervised learning method, to train EfficientNet-L2.
More details here: https://t.co/kiZzT4RNj7
A surprising result: We found that smooth activation functions are better than ReLU for adversarial training and can lead to substantial improvements in adversarial robustness.
https://t.co/qehDOtrLI6
We researchers love pre-training. Our new paper shows that pre-training is unhelpful when we have a lot of labeled data. In contrast, self-training works well even when we have a lot of labeled data. SOTA on PASCAL segmentation & COCO …
▶
Fun AutoML-Zero experiments: Evolutionary search discovers fundamental ML algorithms from scratch, e.g., small neural nets with backprop.
Can evolution be the “Master Algorithm”? ;)
Paper: https://t.co/lhW3qtxCTM
Code: https://t.co/v1eo…
Happy to announce that we've released a number of models trained with Noisy Student (a semi-supervised learning method). The best model achieves 88.4% top-1 accuracy on ImageNet (SOTA).
Enjoy finetuning!
Link: https://t.co/eC3O6tnFsJ
Pa…
New paper: Towards a Human-like Open-Domain Chatbot. Key takeaways:
1. "Perplexity is all a chatbot needs" ;)
2. We're getting closer to a high-quality chatbot that can chat about anything
Paper: https://t.co/r09PQ9ldea
Blog: https://t.c…
EfficientDet: a new family of efficient object detectors. It is based on EfficientNet, and many times more efficient than state of art models.
Link: https://t.co/9pnZECs6In
Code: coming soon
New open-source language model from Google AI: Flan-T5 🍮
Flan-T5 is instruction-finetuned on 1,800+ language tasks, leading to dramatically improved prompting and multi-step reasoning abilities.
Public models: https://t.co/bnYVnocJW2
Pap…
We can teach a language model to solve complex problems by showing it how to break down a problem into subproblems, and solve them sequentially.
This “least-to-most prompting” method solves 99.7% of SCAN benchmark while other prompting me…
Primer: Searching for Efficient Transformers for Language Modeling
https://t.co/RJ7IfdBvKo
We use evolution to design a new Transformer variant, called Primer. Primer has a better scaling law, and is 3X to 4X faster for training than Tra…
Some nice improvement on ImageNet: 90% top-1 accuracy has been achieved :-)
This result is possible by using Meta Pseudo Labels, a semi-supervised learning method, to train EfficientNet-L2.
More details here: https://t.co/kiZzT4RNj7
A surprising result: We found that smooth activation functions are better than ReLU for adversarial training and can lead to substantial improvements in adversarial robustness.
https://t.co/qehDOtrLI6
We researchers love pre-training. Our new paper shows that pre-training is unhelpful when we have a lot of labeled data. In contrast, self-training works well even when we have a lot of labeled data. SOTA on PASCAL segmentation & COCO …
▶
Fun AutoML-Zero experiments: Evolutionary search discovers fundamental ML algorithms from scratch, e.g., small neural nets with backprop.
Can evolution be the “Master Algorithm”? ;)
Paper: https://t.co/lhW3qtxCTM
Code: https://t.co/v1eo…
Happy to announce that we've released a number of models trained with Noisy Student (a semi-supervised learning method). The best model achieves 88.4% top-1 accuracy on ImageNet (SOTA).
Enjoy finetuning!
Link: https://t.co/eC3O6tnFsJ
Pa…
New paper: Towards a Human-like Open-Domain Chatbot. Key takeaways:
1. "Perplexity is all a chatbot needs" ;)
2. We're getting closer to a high-quality chatbot that can chat about anything
Paper: https://t.co/r09PQ9ldea
Blog: https://t.c…
EfficientDet: a new family of efficient object detectors. It is based on EfficientNet, and many times more efficient than state of art models.
Link: https://t.co/9pnZECs6In
Code: coming soon
💡 Facts
🗓️Joined X in 2018 — 8 years ago.
👁️Averages 59K views per post.
📤Posts about 0.1× per week.
💬1.85% engagement rate.
🏅Earned the 10K Followers for passing 10K followers.
🕵️ Fake follower check
Estimated46/100
Fair
Credibility score
69%
Mixed
Real audience
Medium
Fake-follower risk
High
Data confidence
- Est. 69% real, active audience · Medium fake-follower risk.
- Low engagement (~0.7× of followers engage each post) — a sign of an inflated or inactive audience.
- Organic base — far more followers than accounts it follows.
- Verified account.
- Established account (8+ years old).
- 1.85% engagement — below the ~8.9% typical for this size.
Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.
About
Co-founder of Discovery Loop. Former Google Fellow.
📸 Gallery
🔀 Audience overlap
EstimatedEstimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.
Sir Bobby Charlton
18%
Girls Who Code
16%
Newsday
13%
Nick | Crypto Crusader
11%
Delt4 El inbaneable
11%
souriano
11%
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Quoc Le has 79,761 followers on X.
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