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Xinyu Yang ✓

@Xinyu2ML · Mountain View, CA · joined 09 Dec 2022

Building open frontier intelligence. Opinions are my own. They/Them

18 075Followers
1 572Following
1 168Posts total
1.1MViews on collected posts

Neueste Beiträge

Impressive open-source! 10K views · 54 likes · 0 reposts · 1 replies Open on X →
MoA is always interesting :) 1.6K views · 12 likes · 2 reposts · 0 replies Open on X →
MoVA (mixture-of-expert Attention), which incorporates MoE-based sparsity into the multi-head attention module, is one architecture innovation we tried in K2-Horizon. It gives us a new/better dimension to scale up LLM sparsity, beyond MoE in the FFN module 1.9K views · 8 likes · 1 reposts · 0 replies Open on X →
All the best! ding🐐! 9.4K views · 36 likes · 0 reposts · 0 replies Open on X →
I have left @xai a while ago. The past year was one of the most intense and rewarding periods of my career. I was lucky to get to work on some of the most challenging problems in scaling posttraining for frontier models: stability, bigruns, scaling efficiency, etc. Beyond the 138.4K views · 612 likes · 15 reposts · 49 replies Open on X →
Nice work covers verious real RSI tasks. Really appreciate the collaboration with domain experts to deliver real good benchmarks :) 5.1K views · 26 likes · 2 reposts · 0 replies Open on X →
Can frontier AI agents achieve Recursive Self-Improvement by turning a weak method into one that performs better on hidden data? Introducing RSI-Exam 🧵: 88 executable research tasks across 6 domains, now open for task contributions from every field🧑‍🔬. Its task bank spans https
122.7K views · 382 likes · 83 reposts · 20 replies Open on X →
@Xinyu2ML 呵呵 “模型公司要做模型“ 飞机一定要能飞 养鱼场一定要能养育 学校一定要有学生 8.8K views · 9 likes · 0 reposts · 6 replies Open on X →
@Xinyu2ML you're absolutely spot on, especially on the arrogance, you can smell it kms away from anthropic. 8.5K views · 63 likes · 0 reposts · 2 replies Open on X →
@Xinyu2ML 第五戒我觉得是“不要比烂”比较好🤔 16K views · 73 likes · 0 reposts · 1 replies Open on X →
Why can Kimi ship K3? Let me tell my story. Earlier this year, I left academia for industry. I talked to a lot of companies along the way. Here's what I saw: 1⃣Arrogance. They believe the AI war is over, and they won. No hunger for the future, and no hunger for talent. https://t
797.3K views · 1.8K likes · 207 reposts · 82 replies Open on X →

Im Vergleich zu Konten gleicher Größe

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

Medianaufrufe9 352dieses Konto924Median für 10K–100K
Reichweite, %51.74%dieses Konto3.62%Median für 10K–100K
Interaktion, %0.49%dieses Konto1.52%Median für 10K–100K
KennzahlDieses KontoMedian für 10K–100KVerhältnis
Medianaufrufe pro Beitrag9 35292410.1×
Reichweite (Aufrufe ÷ Follower)51.74%3.62%14.3×
Interaktionsrate0.49%1.52%0.32×

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

797.3K17 Jul
16K
8.5K
8.8K
122.7K27 Aug
5.1K
138.4K29 Aug
9.4K30 Aug
1.9K3 Sep
1.6K
10K16 Sep

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

0.26%17 Jul
0.46%
0.76%
0.17%
0.40%27 Aug
0.55%
0.49%29 Aug
0.38%30 Aug
0.52%3 Sep
0.89%
0.55%16 Sep

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

What the audience does

Likes68.1%3 038 in total
Reposts7.0%310 in total
Replies3.6%161 in total
Quotes1.4%64 in total
Bookmarks19.9%887 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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