You Jiacheng

@YouJiacheng · joined 16 Aug 2015

12 384Followers

2 352Following

14 982Posts total

112.5KViews on collected posts

Neueste Beiträge

You Jiacheng@YouJiacheng20 Sep

damn😅 https://t.co/Vk1lo5c8eN

4.6K views · 36 likes · 0 reposts · 2 replies Open on X →

You Jiacheng@YouJiacheng20 Sep

TIL: Score Centering is "secretly" a STE: z_p + sg(z_q - z_p) 13.5K views · 126 likes · 7 reposts · 3 replies Open on X →

You Jiacheng@YouJiacheng20 Sep

Actually this argument is not limited to linear policy. Consider the gradient w.r.t. logits. s = ∇_z log p(a) = e_a - p \bar{s} = E_{a~q}[e_a - p] = (q - p) centered score s - \bar{s} = e_a - q Thus, score centering is a STE: z_p + sg(z_q - z_p). 10.9K views · 70 likes · 2 reposts · 0 replies Open on X →

You Jiacheng@YouJiacheng20 Sep

it got fixed within a day lol https://t.co/s4fVkjrRKF

5K views · 46 likes · 1 reposts · 1 replies Open on X →

You Jiacheng@YouJiacheng19 Sep

@YouJiacheng consider linear softmax policy. the proposed correction does nothing and simply calculate the gradient under the sampling distribution. 13.6K views · 32 likes · 1 reposts · 1 replies Open on X →

You Jiacheng@YouJiacheng19 Sep

this is good 9.8K views · 52 likes · 0 reposts · 1 replies Open on X →

You Jiacheng@YouJiacheng11 Sep

@YouJiacheng @thsottiaux Oh shit that's really bad! 1.2K views · 10 likes · 0 reposts · 0 replies Open on X →

You Jiacheng@YouJiacheng11 Sep

@YouJiacheng @thsottiaux this is quite expected, it is a trade off you might start totally different conversaiontion and if you use the same cache key it start poison your cache, when you switch back, it will cause cache miss in your main thread 840 views · 3 likes · 0 reposts · 0 replies Open on X →

You Jiacheng@YouJiacheng11 Sep

@YouJiacheng @thsottiaux forking and side chats both cause cache misses?? that's actually ridiculous lol what about editing the last message in the convo? does that also somehow cause a cache miss 2K views · 15 likes · 0 reposts · 1 replies Open on X →

You Jiacheng@YouJiacheng11 Sep

DO NOT use /fork or /side in Codex, it will have a different session_id and thus different prompt_cache_key. the docs literally say you should only use it if you want to *prevent* cache hit. plz fix it @thsottiaux https://t.co/ctkHI3bN0I

51K views · 213 likes · 13 reposts · 10 replies Open on X →

Im Vergleich zu Konten gleicher Größe

10 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 10K–100K Follower. wird weit gezeigt, aber nur wenige dieser Zuschauer reagieren.

Medianaufrufe7 423dieses Konto924Median für 10K–100K

Reichweite, %59.94%dieses Konto3.62%Median für 10K–100K

Interaktion, %0.74%dieses Konto1.52%Median für 10K–100K

Kennzahl	Dieses Konto	Median für 10K–100K	Verhältnis
Medianaufrufe pro Beitrag	7 423	924	8.03×
Reichweite (Aufrufe ÷ Follower)	59.94%	3.62%	16.6×
Interaktionsrate	0.74%	1.52%	0.48×

Weitere Konten dieser Größe → Mit einem anderen Konto vergleichen → Wie diese Vergleichswerte entstehen →

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

51K11 Sep

840

1.2K

9.8K19 Sep

13.6K

5K20 Sep

10.9K

13.5K

4.6K

Last 10 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.48%11 Sep

0.81%

0.36%

0.81%

0.54%19 Sep

0.26%

0.96%20 Sep

0.67%

1.00%

0.86%

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

What the audience does

Likes62.3%603 in total

Reposts2.5%24 in total

Replies2.0%19 in total

Quotes1.4%14 in total

Bookmarks31.8%308 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.

Neueste Beiträge

Im Vergleich zu Konten gleicher Größe

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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