Ted Xiao ✓

@xiao_ted · San Francisco · joined 20 Oct 2013

Founding Member of Technical Staff @PrometheusInc. Previously Gemini, Robotics @GoogleDeepMind. Posts about frontier models, physical AGI, and scaling.

135 153Followers

808Following

1 830Posts total

90.5KViews on collected posts

Postingan terbaru

Ted Xiao ✓@xiao_ted31 Aug

how beautiful that the strongest known alignment technique currently is divine judgement the panopticon watches. the grader will know. every thoughtcrime shall be laid bare. 5.1K views · 9 likes · 2 reposts · 1 replies Open on X →

Ted Xiao ✓@xiao_ted19 Aug

In-context learning for robot control has been a holy grail for many years. GEN-1.5 is the best result on this frontier I have ever seen! Feels like a step change moment; getting goosebumps reminiscent of the first times I played with GPT-3. 12.4K views · 109 likes · 7 reposts · 6 replies Open on X →

Ted Xiao ✓@xiao_ted17 Aug

I'll be attending #ActuateSF this week🤖. Cool progress on generalizable robot foundation models, but I am increasingly interested in the design, engineering, prototyping, and manufacturing of robot hardware systems. If you're building in this space, please reach out! 11.1K views · 75 likes · 4 reposts · 7 replies Open on X →

Ted Xiao ✓@xiao_ted14 Aug

do not strive for a ChatGPT for X moment strive for a Kaplan et al. for X moment 18.4K views · 28 likes · 0 reposts · 3 replies Open on X →

Ted Xiao ✓@xiao_ted11 Oct 2025

@xiao_ted @xf1280 @lgraesser3 @ks_konyushkova @m0hitsharma @jackyliang42 Nice! Open source? 262 views · 0 likes · 0 reposts · 1 replies Open on X →

Ted Xiao ✓@xiao_ted10 Oct 2025

Our team has pushed the Gemini Robotics-ER 1.5 model to full production, where anyone in the world can unlock world class Embodied Reasoning at Flash-scale cost and speed. Try it today! https://t.co/ntiPfbualU 2.8K views · 23 likes · 4 reposts · 1 replies Open on X →

Ted Xiao ✓@xiao_ted10 Oct 2025

Fundamental spatial and temporal understanding is the bedrock upon which robots will learn motor control. These types of Embodied Reasoning capabilities enable policy learning but also inference abilities like image or video conditioning. We just released a new SOTA ER model! h 40.4K views · 308 likes · 42 reposts · 11 replies Open on X →

Dibandingkan akun berukuran sama

4 postingan dari 90 hari terakhir, dibandingkan dengan rentang 100K–1M pengikut. tampil luas, tetapi sedikit penonton yang merespons.

Median tayangan11 764akun ini5 983median untuk 100K–1M

Jangkauan, %8.70%akun ini1.49%median untuk 100K–1M

Interaksi, %0.50%akun ini0.93%median untuk 100K–1M

Metrik	Akun ini	Median untuk 100K–1M	Rasio
Median tayangan per postingan	11 764	5 983	1.97×
Jangkauan (tayangan ÷ pengikut)	8.70%	1.49%	5.84×
Tingkat interaksi	0.50%	0.93%	0.54×

Akun lain pada rentang ini → Bandingkan dengan akun lain → Bagaimana tolok ukur ini disusun →

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

40.4K10 Oct

2.8K

26211 Oct

18.4K14 Aug

11.1K17 Aug

12.4K19 Aug

5.1K31 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

0.91%10 Oct

1.01%

0.38%11 Oct

0.17%14 Aug

0.77%17 Aug

0.98%19 Aug

0.24%31 Aug

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes66.4%552 in total

Reposts7.1%59 in total

Replies3.6%30 in total

Quotes1.1%9 in total

Bookmarks21.8%181 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.