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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 591Followers
91Following
1 478Posts total
958KViews on collected posts

Последние посты

Founder Mode activated from my new office ♾ https://t.co/8zN9RDEgPF 69.3K views · 1.3K likes · 19 reposts · 77 replies Open on X →
@OriolVinyalsML @JeffDean @Google @GoogleDeepMind Congrats and good luck, Oriol! 11.8K views · 79 likes · 0 reposts · 0 replies Open on X →
@OriolVinyalsML @JeffDean @Google @GoogleDeepMind Anar-te el mateix dia que Messi va deixar el Barça no és una coincidència 10K views · 27 likes · 0 reposts · 1 replies Open on X →
@OriolVinyalsML @JeffDean @Google @GoogleDeepMind Drastic! Looking forward to the next phase ❤️ 6.2K views · 17 likes · 0 reposts · 0 replies Open on X →
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 502.7K views · 4.2K likes · 192 reposts · 180 replies Open on X →
Fun fact: @woj_zaremba wanted to completely remove that paper from existence a year or so after. I forgot why though -- Woj? 100.9K views · 192 likes · 4 reposts · 12 replies Open on X →
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. 146.9K views · 216 likes · 9 reposts · 16 replies Open on X →
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 87.8K views · 740 likes · 16 reposts · 33 replies Open on X →
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 Open on X →

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
87.8K
146.9K26 Jun
100.9K
502.7K5 Aug
6.2K
10K
11.8K
69.3K6 Aug

Last 9 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.99%19 May
0.90%
0.17%26 Jun
0.21%
0.91%5 Aug
0.28%
0.28%
0.67%
1.97%6 Aug

Reactions — likes, reposts, replies and quotes — divided by views.

What the audience does

Likes82.8%6 918 in total
Reposts3.1%259 in total
Replies4.0%336 in total
Quotes0.5%42 in total
Bookmarks9.6%805 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.

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