Oriol Vinyals ✓

@OriolVinyalsML · Silicon Valley, California · joined 16 Oct 2015

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

221 519Followers

91Following

1 478Posts total

929.2KViews on collected posts

Against accounts of the same size

4 posts from the last 90 days, next to the 100K–1M follower range. shown widely, but few of those viewers react.

Median views123 774this account21 891median for 100K–1M

Reach, %55.88%this account6.81%median for 100K–1M

Engagement, %0.56%this account1.14%median for 100K–1M

Metric	This account	Median for 100K–1M	Ratio
Median views per post	123 774	21 891	5.65×
Reach (views ÷ followers)	55.88%	6.81%	8.20×
Engagement rate	0.56%	1.14%	0.49×

Others in this range → Compare with another account → How these benchmarks are built →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

22.5K19 May

87.7K

146.8K26 Jun

100.8K

502.3K5 Aug

69.2K6 Aug

Last 6 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.00%19 May

0.90%

0.16%26 Jun

0.21%

0.92%5 Aug

1.97%6 Aug

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.14%.

What the audience does

Likes84.4%6 788 in total

Reposts3.2%258 in total

Replies4.2%334 in total

Quotes0.5%42 in total

Bookmarks7.7%621 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Latest posts

Founder Mode activated from my new office ♾ https://t.co/8zN9RDEgPF 69.2K views · 1.3K likes · 19 reposts · 77 replies 06 Aug 2026 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 h 502.3K views · 4.2K likes · 192 reposts · 180 replies 05 Aug 2026 Fun fact: @woj_zaremba wanted to completely remove that paper from existence a year or so after. I forgot why though -- Woj? 100.8K views · 191 likes · 4 reposts · 12 replies 26 Jun 2026 I started doing language modeling research in Jan 2016, using the LSTM from the "RNN Regularization" model by @woj_zaremba @OriolVinyalsML and @ilyasut, trying to improve its perplexity on Penn Treebank (1M toks). This led to the weight tying method, sometimes still used today. 146.8K views · 213 likes · 9 reposts · 16 replies 26 Jun 2026 This is my third Google I/O in a row. Some things have changed, some (like the amazing colleagues that were there since day 0) haven't. @JeffDean @borgeaud_s https://t.co/ASd6lFnMuf 87.7K views · 738 likes · 15 reposts · 32 replies 19 May 2026 1/ Today at Google I/O, we’re launching Gemini 3.5 Flash ⚡️⚡️⚡️! Our mission was clear: bring frontier-level intelligence with unprecedented speed. 3.5 Flash delivers drastic intelligence (beating 3.1 Pro on almost every benchmark), at Flash speeds. 🧵 https://t.co/oCtQ0zEhOK 22.5K views · 188 likes · 19 reposts · 17 replies 19 May 2026