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Oriol Vinyals

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X @oriolvinyalsml
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📣Sponsored postOne tweet with your link and creative. $1,762→ 🧵Sponsored threadA multi-tweet thread — X rewards long-form, threads out-reac… $4,405→ 🎬Sponsored video postA dedicated video tweet — X pushes video hard, so it gets pr… $2,467→ 📌Pinned postA sponsored post pinned to the top of my profile for the mon… $5,286/mo→ 📍Post + pin comboA sponsored post that also stays pinned for a set number of … $2,819→ 🔁Repost / quote-tweet packageI repost or quote-tweet your posts through the month — distr… $3,524/mo→ 🔗Bio link placementYour link in my bio for the month — X allows only one, so it… $2,643/mo→ 🎙️X Spaces appearance / hostI host or feature you in an X Space (live audio) — a branded… $3,524→ 🤝Cross-promo / mutual shoutoutWe shout each other out — a value swap between accounts. Swap→ 🎬UGC HireBranded content for your own channels & ads from $771→ 🎙️Podcast guest spotInvite Oriol Vinyals onto your podcast (~45 min, remote) $771→ 📞1:1 ConsultPaid video call — advice, coaching or Q&A $123/hr→

Every booking is a normal escrow-protected deal.

Followers
220.2K
Posts
1.5K
Following
92
Account age
10 yrs
🎁 Free analysisfor Oriol Vinyals
🕵️Fake Followers CheckReal-audience % & bot risk→ 📊Engagement rateBenchmarked vs. peers→ 💰What they chargeFair sponsored-post price→

Known for

Today we have published our updated Gemini 1.5 Model Technical Report. As @JeffDean highlights, we have made significant progress in Gemini 1.5 Pro across all key benchmarks; TL;DR: 1.5 Pro > 1.0 Ultra, 1.5 Flash (our fastest model) ~= 1.0 Ultra. As a math undergrad, our drastic 714.9K views Today we have published our updated Gemini 1.5 Model Technical Report. As @JeffDean highlights, we have made significant progress in Gemini 1.5 Pro across all key benchmarks; TL;DR: 1.5 Pro > 1.0 Ultra, 1.5 Flash (our fastest model) ~= 1.0 Ultra. As a math undergrad, our drastic Thirteen years ago, a quick email exchange with @JeffDean brought me to @Google. After an unforgettable journey from Brain, to DeepMind, and to @GoogleDeepMind, working on seq2seq or distillation, and co-leading huge projects such as AlphaStar, and Gemini, I'm saying goodbye to 490.7K views Thirteen years ago, a quick email exchange with @JeffDean brought me to @Google. After an unforgettable journey from Brain, to DeepMind, and to @GoogleDeepMind, working on seq2seq or distillation, and co-leading huge projects such as AlphaStar, and Gemini, I'm saying goodbye to Exciting times, welcome Gemini (and MMLU>90)! State-of-the-art on 30 out of 32 benchmarks across text, coding, audio, images, and video, with a single model 🤯 Co-leading Gemini has been my most exciting endeavor, fueled by a very ambitious goal. And that is just the beginning! 456.5K views Exciting times, welcome Gemini (and MMLU>90)! State-of-the-art on 30 out of 32 benchmarks across text, coding, audio, images, and video, with a single model 🤯 Co-leading Gemini has been my most exciting endeavor, fueled by a very ambitious goal. And that is just the beginning! Hello Gemini 2.5 Flash-Lite! So fast, it codes *each screen* on the fly (Neural OS concept 👇). The frontier isn't always about large models and beating benchmarks. In this case, a super fast & good model can unlock drastic use cases. Read more: https://t.co/kbkC8CtVYb 423.1K views Hello Gemini 2.5 Flash-Lite! So fast, it codes *each screen* on the fly (Neural OS concept 👇). The frontier isn't always about large models and beating benchmarks. In this case, a super fast & good model can unlock drastic use cases. Read more: https://t.co/kbkC8CtVYb

📊 Post performance

Recent posts · views
Jan 11latest
260.1K
Avg views / post
243.5K–456.5K
Typical post (views)
1.2×
Reach vs followers
81/100
Very consistent reach
Oct 2015
On X since
Half of recent posts land between 243.5K and 456.5K views (median 309.5K) — a dependable floor a sponsored post can count on.

🔥 Top post: Today we have published our updated Gemini 1.5 Model Technical R · 714.9K views

📊 Activity & format

Posting cadence
0.04 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly video
Recent: 10 video · 8 image · 0 text.
Follower / following
2.4K×
Follows 92 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 Today we have published our updated Gemini 1.5 Model Technical Report. As @JeffDean highlights, we have made significant progress in Gemini 1.5 Pro across all key benchmarks; TL;DR: 1.5 Pro > 1.0 Ultra, 1.5 Flash (our fastest model) ~= 1.0 Ultra. As a math undergrad, our dra… 714.9K❤ 980🔁 228
Thirteen years ago, a quick email exchange with @JeffDean brought me to @Google. After an unforgettable journey from Brain, to DeepMind, and to @GoogleDeepMind, working on seq2seq or distillation, and co-leading huge projects such as Alpha… 490.7K❤ 4.2K🔁 372 ▶ Incredible evolution of "Neural Video Games": from GQN (2018) to Genie3 (2025). The future is exciting! https://t.co/EYygTAa3UF 260.1K❤ 3K🔁 376 ▶ Hello Gemini 2.5 Flash-Lite! So fast, it codes *each screen* on the fly (Neural OS concept 👇). The frontier isn't always about large models and beating benchmarks. In this case, a super fast & good model can unlock drastic use cases.… 423.1K❤ 1.6K🔁 320 ▶ Introducing Gemini 2.5 Pro Experimental! 🎉 Our newest Gemini model has stellar performance across math and science benchmarks. It’s an incredible model for coding and complex reasoning, and it’s #1 on the @lmarena_ai leaderboard by a dras… 212.5K❤ 1.1K🔁 202 Distillation has been on the news (!) due to @deepseek_ai. The paper https://t.co/fRbFdfoHT1 was actually rejected from NeurIPS 2014 due to lack of novelty 🧐 (true-ish), and lack of impact 🙃. Thanks reviewer#2 (literally), and thanks for … 257.5K❤ 1.5K🔁 213 ▶ To show what’s possible with the drastically huge context window in Gemini 1.5 Pro, we prompted it with the three.js examples code - over 100,000 lines of code/800k+ tokens! (That’s not even the max, it can handle millions of tokens 😀) G… 218.8K❤ 960🔁 211 seq💜💙❤️seq @ilyasut @OriolVinyalsML @quocleix 243.5K❤ 1.2K🔁 84 ▶ Exciting times, welcome Gemini (and MMLU>90)! State-of-the-art on 30 out of 32 benchmarks across text, coding, audio, images, and video, with a single model 🤯 Co-leading Gemini has been my most exciting endeavor, fueled by a very ambit… 456.5K❤ 1.9K🔁 325 ▶ Many people mistakenly think that large language models that generate one word at a time is the end game. Connecting LLMs with tools, e.g.: search engines, python interpreters, etc., is super exciting, and leverages tools' power, robustnes… 309.5K❤ 1.3K🔁 201 This neural network architecture that was showcased at the @Tesla AI day is a perfect example of Deep Learning at its finest. Mix and match all the greatest innovations to do something drastic and super ambitious. Congrats! ❤ 5.5K🔁 645 The Deep Learning Devil is in the Details. I love this work from @IrwanBello and collaborators in which they show how training "tricks" improve ~3% absolute accuracy on ImageNet, progress equivalent to years of developments and research! … ❤ 1.2K🔁 234

💡 Facts

🗓️Joined X in 2015 — 10 years ago.
👁️Averages 260.1K views per post.
📤Posts about 0× per week.
💬1% 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 (~1.2× 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).
  • 1% 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

VP of Research & Deep Learning Lead, Google DeepMind. Gemini co-lead. Past: AlphaStar, AlphaFold, AlphaCode, WaveNet, seq2seq, distillation, TF.

📸 Gallery

Thirteen years ago, a quick email exchange with @JeffDean brought me to @Google. After an unforgettable journey from Brain, to DeepMind, and to @GoogleDeepMind, working on seq2seq or distillation, and co-leading huge projects such as AlphaStar, and Gemini, I'm saying goodbye to Incredible evolution of "Neural Video Games": from GQN (2018) to Genie3 (2025). The future is exciting! https://t.co/EYygTAa3UF Hello Gemini 2.5 Flash-Lite! So fast, it codes *each screen* on the fly (Neural OS concept 👇). The frontier isn't always about large models and beating benchmarks. In this case, a super fast & good model can unlock drastic use cases. Read more: https://t.co/kbkC8CtVYb Introducing Gemini 2.5 Pro Experimental! 🎉 Our newest Gemini model has stellar performance across math and science benchmarks. It’s an incredible model for coding and complex reasoning, and it’s #1 on the @lmarena_ai leaderboard by a drastic 40 ELO margin. Only a handful of Distillation has been on the news (!) due to @deepseek_ai. The paper https://t.co/fRbFdfoHT1 was actually rejected from NeurIPS 2014 due to lack of novelty 🧐 (true-ish), and lack of impact 🙃. Thanks reviewer#2 (literally), and thanks for @arxiv! @geoffreyhinton @JeffDean Today we have published our updated Gemini 1.5 Model Technical Report. As @JeffDean highlights, we have made significant progress in Gemini 1.5 Pro across all key benchmarks; TL;DR: 1.5 Pro > 1.0 Ultra, 1.5 Flash (our fastest model) ~= 1.0 Ultra. As a math undergrad, our drastic To show what’s possible with the drastically huge context window in Gemini 1.5 Pro, we prompted it with the three.js examples code - over 100,000 lines of code/800k+ tokens! (That’s not even the max, it can handle millions of tokens 😀) Gemini was able to process all the code seq💜💙❤️seq @ilyasut @OriolVinyalsML @quocleix

🔀 Audience overlap

Estimated

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

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Frequently asked questions

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Oriol Vinyals has 220,203 followers on X.

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