Ethan Caballero ✓

@ethanCaballero · joined 12 Jan 2015

ML @Mila_Quebec ; previously @GoogleDeepMind

13 044Followers

2 068Following

4 723Posts total

610.9KViews on collected posts

Postingan terbaru

Ethan Caballero ✓@ethanCaballero9 Sep

This shot from the trailer is the dinner in which OpenAI was founded. The dinner attendees in this shot are: sam, greg, ilya, dario, elon, paul christiano, jacob steinhardt, chris olah, and patrick collison https://t.co/oLP2Att7fq

52.9K views · 407 likes · 5 reposts · 5 replies Open on X →

Ethan Caballero ✓@ethanCaballero2 Sep

@ethanCaballero I don’t understand why they make doc examples so hard to read. It’s complexity for the sake of complexity The first sentence was enough to make me roll my eyes > Mannered prose substitutes metaphor and flourish for direct statement 20.8K views · 71 likes · 0 reposts · 7 replies Open on X →

Ethan Caballero ✓@ethanCaballero2 Sep

@ethanCaballero amusingly, the entire prompt is also 100% on pangram the prompt itself contains claudese "it makes the reader work harder so the writer can perform." So I am sceptical that a claudese prompt can dispel claudese 13.8K views · 78 likes · 0 reposts · 3 replies Open on X →

Ethan Caballero ✓@ethanCaballero2 Sep

@ethanCaballero Oh so it’s called “mannered prose”? In contrast to the ill-mannered prose I’ve been responding to Claude with when it writes in Claudish 14.4K views · 66 likes · 1 reposts · 0 replies Open on X →

Ethan Caballero ✓@ethanCaballero2 Sep

anthropic released a new prompt that eliminates claudese: https://t.co/JYHotoZlyr 452.3K views · 2.6K likes · 161 reposts · 67 replies Open on X →

Ethan Caballero ✓@ethanCaballero1 Sep

does fable 5.1 eliminate the claudese? 6.9K views · 8 likes · 0 reposts · 5 replies Open on X →

Ethan Caballero ✓@ethanCaballero27 Aug

@ 6:57:10 onward: https://t.co/6ABdPtYE5m 815 views · 1 likes · 0 reposts · 0 replies Open on X →

Ethan Caballero ✓@ethanCaballero27 May

New paper: We present a "Unified Neural Scaling Law" functional form that accurately models & extrapolates the multivariate scaling behaviors of artificial neural networks as the variables listed in this attached video are varied. (1/N) https://t.co/wAZEXZDzRX

0:13

48.9K views · 484 likes · 63 reposts · 12 replies Open on X →

Dibandingkan akun berukuran sama

7 postingan dari 90 hari terakhir, dibandingkan dengan rentang 10K–100K pengikut. tampil luas, tetapi sedikit penonton yang merespons.

Median tayangan14 431akun ini924median untuk 10K–100K

Jangkauan, %110.63%akun ini3.62%median untuk 10K–100K

Interaksi, %0.46%akun ini1.52%median untuk 10K–100K

Metrik	Akun ini	Median untuk 10K–100K	Rasio
Median tayangan per postingan	14 431	924	15.6×
Jangkauan (tayangan ÷ pengikut)	110.63%	3.62%	30.6×
Tingkat interaksi	0.46%	1.52%	0.31×

Akun lain pada rentang ini → Bandingkan dengan akun lain → Bagaimana tolok ukur ini disusun →

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

48.9K27 May

81527 Aug

6.9K1 Sep

452.3K2 Sep

14.4K

13.8K

20.8K

52.9K9 Sep

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.15%27 May

0.12%27 Aug

0.19%1 Sep

0.64%2 Sep

0.46%

0.59%

0.38%

0.79%9 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes36.3%3 737 in total

Reposts2.2%230 in total

Replies1.0%99 in total

Quotes0.4%42 in total

Bookmarks60.1%6 199 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.

Postingan terbaru

Dibandingkan akun berukuran sama

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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