Quoc Le✓ Add us as a preferred source on Google

X @quocleix

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👋 Unclaimed listing — auto-generated from public data; rates are estimates, not set by the creator. 🔒 Paid proposals held safely in escrow — released only when the work's approved.

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Auto-generated from Quoc Le’s publicly available X info.

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Followers

79.8K

Posts

595

Following

Account age

8 yrs

💰 Suggested sponsorship rate

🎁 Free analysisfor Quoc Le

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

📊 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 ↗

🔥 Top post New York Times article on AlphaGeometry Geometry was my favorite subject in high school because solving them requires many step of reasoning and planning. Geometry problems however have been difficult for AI to solve. Our Nature paper shows my team’s progress in Geometry 205.9K❤ 522🔁 85

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! 59K❤ 694🔁 62

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… ❤ 2.3K🔁 499

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… ❤ 731🔁 152

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… ❤ 587🔁 126

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 ❤ 1.3K🔁 310

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 ❤ 1.1K🔁 260

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 … ❤ 942🔁 231

▶ 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… ❤ 1.7K🔁 536

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… ❤ 1.1K🔁 283

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… ❤ 1.6K🔁 575

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 ❤ 753🔁 216

💡 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

Estimated

46/100

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 ~8.8% 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

Estimated

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

Sir Bobby Charlton 18%

Sat_James Martin 17%

Nick | Crypto Crusader 11%

Delt4 El inbaneable 11%

souriano 11%

Mitch Landrieu 10%

More like this

Nick | Crypto Crusader ✓

Frequently asked questions

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How many followers does Quoc Le have?

Quoc Le has 79,761 followers on X.