jietang ✓

@jietang · Beijing · joined 14 May 2008

Professor @ Tsinghua, Founder of https://t.co/3IaQ4CI5W3. AGI, LLM. “The value of a man should be seen in what he gives and not in what he is able to receive.”―Einstein

71 088Followers

428Following

527Posts total

2.7MViews on collected posts

Against accounts of the same size

7 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.

Median views164 162this account2 751median for 10K–100K

Reach, %230.93%this account9.00%median for 10K–100K

Engagement, %1.21%this account1.65%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	164 162	2 751	59.7×
Reach (views ÷ followers)	2.3× audience	9.00%	25.7×
Engagement rate	1.21%	1.65%	0.73×

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

118.2K14 Aug

516.1K18 Aug

57.7K

1.6M19 Aug

165.5K20 Aug

76.3K21 Aug

164.2K27 Aug

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.69%14 Aug

0.87%18 Aug

1.71%

0.48%19 Aug

0.44%20 Aug

1.21%21 Aug

1.80%27 Aug

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.65%.

What the audience does

Likes67.2%16 831 in total

Reposts6.6%1 645 in total

Replies3.1%767 in total

Quotes2.2%539 in total

Bookmarks21.0%5 259 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

Ox Alpha = GLM-5.3 Flash AA = 57 , 1/100 frontier price, Powered by pure Chinese chips. Delivered nearly 20% weekly token share (no. 1) on OpenRouter. Thanks to all for the support. https://t.co/niAGKJgrKQ 164.2K views · 2.6K likes · 187 reposts · 138 replies 27 Aug 2026 cool comment: FLOPs were intelligence; parameters were knowledge! 76.3K views · 810 likes · 78 reposts · 29 replies 21 Aug 2026 An excellent history of scaling laws from @jietang. In 2020, we explored the limits of sparsity in Switch Transformers by routing each token to only 1 out of 2048 experts (in retrospect, a bold choice). The model had fewer than 3B activated parameters, but 1.6T total parameters 165.5K views · 650 likes · 53 reposts · 13 replies 20 Aug 2026 Thoughts About Scaling Law Scaling, but not only of parameters. Every model release now ends with the same question: how many parameters? It isn't a question that can be answered on its own. Parameter count is only meaningful alongside three others — how much data you have, 1.6M views · 6.3K likes · 888 reposts · 236 replies 19 Aug 2026 Artificial Analysis Index = 60 57.7K views · 900 likes · 31 reposts · 51 replies 18 Aug 2026 GLM-5.3 API is now live. - Built for coding, defensive cybersecurity, and long-horizon agentic tasks - Priced the same as GLM-5.2 - Available via the official API and partner model gateways Get started: https://t.co/3Dpy1tOdaM https://t.co/yBzgPwTFxL 516.1K views · 3.8K likes · 327 reposts · 189 replies 18 Aug 2026 GLM-5.3 is coming. focusing on coding. 118.2K views · 1.8K likes · 81 reposts · 111 replies 14 Aug 2026