Lucas Beyer (bl16) ✓

@giffmana · Zürich, Suisse · joined 08 Dec 2013

Researcher (now: Meta. ex: OpenAI, DeepMind, Brain, RWTH Aachen), Gamer, Hacker, Belgian. Anon feedback: https://t.co/xe2XUqkKit ✗DMs → email

150 033Followers

641Following

28 690Posts total

365.1KViews on collected posts

Latest posts

Lucas Beyer (bl16) ✓@giffmana3 Sep

Really happy for the HF team, because several times across the years I've looked at what they are doing and just thought "this is very cool, but also no way on earth it works out in the long run". Well, it did work out, and that makes me happy for them 🤗 15.4K views · 373 likes · 4 reposts · 10 replies Open on X →

Lucas Beyer (bl16) ✓@giffmana3 Sep

@giffmana watching millionaires doing all this with very distant 7th or 8th place models is why I have an X account lol 4.8K views · 7 likes · 0 reposts · 0 replies Open on X →

Lucas Beyer (bl16) ✓@giffmana2 Sep

@giffmana https://t.co/1cWa5RL473 24.4K views · 32 likes · 0 reposts · 2 replies Open on X →

Lucas Beyer (bl16) ✓@giffmana2 Sep

@giffmana nah :) 26.4K views · 57 likes · 0 reposts · 2 replies Open on X →

Lucas Beyer (bl16) ✓@giffmana2 Sep

Holy shit what a banger lol https://t.co/ABg31jXZEw 247.6K views · 1.2K likes · 13 reposts · 20 replies Open on X →

Lucas Beyer (bl16) ✓@giffmana2 Sep

I guess we're doing this now for a bit https://t.co/5e64Izs8ia 6.9K views · 33 likes · 1 reposts · 8 replies Open on X →

Lucas Beyer (bl16) ✓@giffmana1 Sep

Would you look at that timing btw: 5.2K views · 10 likes · 0 reposts · 1 replies Open on X →

Lucas Beyer (bl16) ✓@giffmana1 Sep

Apropos of nothing: We all agree that it's called Slopus right? And that they introduce Mythos/Fable mostly to steer away from everybody calling their main model Slopus, right? 18.7K views · 207 likes · 4 reposts · 16 replies Open on X →

Lucas Beyer (bl16) ✓@giffmana1 Sep

@giffmana @JFPuget @RheaSukthanker @CameronPashmina @Emy_Aze He says even "post-training" exaggerates the importance. https://t.co/ZOS5eCj3Ju 6.5K views · 14 likes · 0 reposts · 0 replies Open on X →

Lucas Beyer (bl16) ✓@giffmana31 Aug

@giffmana @JFPuget @RheaSukthanker @CameronPashmina @Emy_Aze Even calling it post training would be misleading. 4.7K views · 17 likes · 0 reposts · 1 replies Open on X →

Lucas Beyer (bl16) ✓@giffmana31 Aug

@giffmana @JFPuget @RheaSukthanker @CameronPashmina @Emy_Aze thank you. the title is just absurd. 4.4K views · 8 likes · 0 reposts · 0 replies Open on X →

Lucas Beyer (bl16) ✓@giffmana14 Sep 2022

My Transformer tutorial slides are now available at https://t.co/aYfnVKPDjT I'll append recordings to this thread as I get them. If you want to use some of the slides for your lecture, you may, as long as you credit me. If you'd like me to give the lecture: maybe; e-mail me. h 0 views · 3.5K likes · 575 reposts · 72 replies Open on X →

Lucas Beyer (bl16) ✓@giffmana11 Sep 2022

Giving a lecture introducing the Transformer architecture in all gory details at @M2lSchool tomorrow. Also got permission to publish slides and will share recording if/when I get one. It's a pretty cool set of slides, largely thanks to @_basilM for inspiration! 0 views · 320 likes · 13 reposts · 10 replies Open on X →

Against accounts of the same size

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

Median views6 901this account5 983median for 100K–1M

Reach, %4.60%this account1.49%median for 100K–1M

Engagement, %0.22%this account0.93%median for 100K–1M

Metric	This account	Median for 100K–1M	Ratio
Median views per post	6 901	5 983	1.15×
Reach (views ÷ followers)	4.60%	1.49%	3.09×
Engagement rate	0.22%	0.93%	0.24×

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

4.4K31 Aug

4.7K

6.5K1 Sep

18.7K

5.2K

6.9K2 Sep

247.6K

26.4K

24.4K

4.8K3 Sep

15.4K

Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.18%31 Aug

0.39%

0.22%1 Sep

1.22%

0.21%

0.61%2 Sep

0.49%

0.22%

0.14%

0.15%3 Sep

2.51%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes88.6%1 947 in total

Reposts1.0%22 in total

Replies2.7%60 in total

Quotes0.2%4 in total

Bookmarks7.5%164 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

Against accounts of the same size

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Similar accounts