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You Jiacheng

@YouJiacheng · joined 16 Aug 2015

12 384Followers
2 352Following
14 982Posts total
112.5KViews on collected posts

Derniers posts

damn😅 https://t.co/Vk1lo5c8eN
4.6K views · 36 likes · 0 reposts · 2 replies Open on X →
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 →
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 →
it got fixed within a day lol https://t.co/s4fVkjrRKF
5K views · 46 likes · 1 reposts · 1 replies Open on X →
@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 →
this is good 9.8K views · 52 likes · 0 reposts · 1 replies Open on X →
@YouJiacheng @thsottiaux Oh shit that's really bad! 1.2K views · 10 likes · 0 reposts · 0 replies Open on X →
@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 →
@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 →
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 →

Face aux comptes de taille comparable

10 posts des 90 derniers jours, à côté de la tranche de 10K–100K abonnés. diffusé largement, mais peu de ces spectateurs réagissent.

Vues médianes7 423ce compte924médiane pour 10K–100K
Portée, %59.94%ce compte3.62%médiane pour 10K–100K
Engagement, %0.74%ce compte1.52%médiane pour 10K–100K
IndicateurCe compteMédiane pour 10K–100KRapport
Vues médianes par post7 4239248.03×
Portée (vues ÷ abonnés)59.94%3.62%16.6×
Taux d'engagement0.74%1.52%0.48×

Autres comptes de cette tranche →   Comparer avec un autre compte →   Comment ces repères sont établis →

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
2K
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.

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