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Xin Eric Wang ✓

@xwang_lk · Santa Barbara, CA · joined 27 Feb 2012

Professor @ucsantabarbara. Head of Research @SimularAI. Director @ucsbcrml @UCSB_AI. Build the Science of AI Agents. AI for Humanity in the long run.

22 170Followers
1 416Following
4 369Posts total
1.1MViews on collected posts

โพสต์ล่าสุด

Truly computer use agents can use computers like you with your permission. Agents that got blocked are not human-like computer use. 1.3K views · 6 likes · 0 reposts · 0 replies Open on X →
asked @sai_borg to order a muse in amazon... this is the power of computer use https://t.co/mp0DaqjD6R
0:14
2.2K views · 14 likes · 0 reposts · 1 replies Open on X →
During the day: “Why are you studying so hard? Let’s have fun and enjoy life!” At midnight: Light still on. Reading. Writing. Thinking. This is frontier labs. 3.1K views · 24 likes · 0 reposts · 0 replies Open on X →
There are plenty of “human-pretending-to-be-an-agent” game demos out there. This one is real. Sai + Jev played Minecraft, fought mobs, and spawned mining sub-agents—all in real time. 1 hour. $0.01. And Sai can spin up 100× agents in parallel for under $1 total. https://t.co/Y
0:28
7.2K views · 28 likes · 6 reposts · 2 replies Open on X →
It feels a bit like Trisolarans in Three-Body Problem. One group says: “We need to defend human civilization.” Another: “It’s coming anyway. We should understand it and shape the relationship.” And perhaps the largest: “I’ll keep doing what I’m doing and see what happens.” 5.5K views · 28 likes · 0 reposts · 5 replies Open on X →
Agent demos fooled you 👎 It trips, it asks for help, and somehow you're the one copying, pasting and running the commands. Meet your #Robosecretary. Meet your #SaiFleet. Sai brings state-of-the-art computer use to your own computer - your apps, your OS, in a floating window ht
1:03
1M views · 2.8K likes · 134 reposts · 106 replies Open on X →
𝐌𝐞𝐞𝐭 𝐭𝐡𝐞 𝐰𝐨𝐫𝐥𝐝'𝐬 𝐛𝐞𝐬𝐭 𝐜𝐨𝐦𝐩𝐮𝐭𝐞𝐫-𝐮𝐬𝐞 𝐚𝐠𝐞𝐧𝐭, 𝐒𝐚𝐢. 💻 Sai now 𝐭𝐨𝐩𝐬 𝐎𝐒𝐖𝐨𝐫𝐥𝐝 2.0 𝐰𝐢𝐭𝐡 𝐚 73% 𝐬𝐮𝐜𝐜𝐞𝐬𝐬 𝐫𝐚𝐭𝐞, outperforming GPT-5.6 Sol and Claude Opus 5 𝐚𝐭 𝐬𝐢𝐠𝐧𝐢𝐟𝐢𝐜𝐚𝐧𝐭𝐥𝐲 𝐥𝐨𝐰𝐞𝐫 𝐜𝐨𝐬𝐭. What excites me https://t.co/RuJxsAS0s8
15.3K views · 109 likes · 13 reposts · 8 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

7 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม แสดงในวงกว้าง แต่มีผู้ชมตอบสนองน้อย.

ยอดดูมัธยฐาน5 458บัญชีนี้959ค่ามัธยฐานของ 10K–100K
การเข้าถึง, %24.62%บัญชีนี้3.75%ค่ามัธยฐานของ 10K–100K
การมีส่วนร่วม, %0.62%บัญชีนี้1.52%ค่ามัธยฐานของ 10K–100K
ตัวชี้วัดบัญชีนี้ค่ามัธยฐานของ 10K–100Kอัตราส่วน
ยอดดูมัธยฐานต่อโพสต์5 4589595.69×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)24.62%3.75%6.57×
อัตราการมีส่วนร่วม0.62%1.52%0.41×

บัญชีอื่นในช่วงนี้ →   เปรียบเทียบกับบัญชีอื่น →   ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →

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

15.3K27 Aug
1M21 Sep
5.5K
7.2K
3.1K22 Sep
2.2K
1.3K23 Sep

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

0.86%27 Aug
0.31%21 Sep
0.62%
0.57%
0.78%22 Sep
0.73%
0.44%23 Sep

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

What the audience does

Likes85.3%3 057 in total
Reposts4.3%153 in total
Replies3.4%122 in total
Quotes3.5%127 in total
Bookmarks3.5%126 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.

บัญชีที่คล้ายกัน