Generalist ✓

@GeneralistAI · joined 07 Jun 2025

Generalist is an AI robotics company building general intelligence for the physical world and making it useful to everyone.

24 635Followers

23Following

189Posts total

3.8MViews on collected posts

Against accounts of the same size

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

Median views56 839this account3 644median for 10K–100K

Reach, %230.72%this account11.83%median for 10K–100K

Engagement, %0.49%this account1.36%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	56 839	3 644	15.6×
Reach (views ÷ followers)	2.3× audience	11.83%	19.5×
Engagement rate	0.49%	1.36%	0.36×

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

299.4K23 Jul

88.4K4 Aug

3.4M19 Aug

17.6K21 Aug

25.2K24 Aug

18K26 Aug

Last 6 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.37%23 Jul

0.53%4 Aug

0.45%19 Aug

0.23%21 Aug

1.08%24 Aug

0.71%26 Aug

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.36%.

What the audience does

Likes58.7%13 820 in total

Reposts8.0%1 873 in total

Replies1.6%374 in total

Quotes4.0%940 in total

Bookmarks27.8%6 536 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

A simple example of physical prompt steerability: same environment, different prompts, different behaviors. Thanks @JagdeepBhatia8 for the suggestion. Read more about GEN-1.5 in our blog post in the comments below. https://t.co/IuJFiye3FW 18K views · 108 likes · 10 reposts · 6 replies 26 Aug 2026 We've reduced the time it takes to go from physical prompt → robot behavior. The faster anyone can teach a robot to do something new, the easier it becomes to scale physical work. Read more about GEN-1.5 in our blog post in the comments below. https://t.co/8YjpRF2imw 25.2K views · 235 likes · 27 reposts · 8 replies 24 Aug 2026 Physical prompting is an elegant idea! One request for the @GeneralistAI team: can we see an example of *physical prompt steerability*, where different prompts induce distinct behavior in the *same* environment? I'm curious whether GEN-1.5 is listening to the physical prompt or 17.6K views · 36 likes · 0 reposts · 2 replies 21 Aug 2026 Introducing GEN-1.5, a one-shot learner. It can learn new tasks in a few seconds. Show it what to do, and it generalizes. This capability emerged from pretraining on physical data at scale, as a step towards our mission of building general intelligence for the physical world. h 3.4M views · 12.1K likes · 1.7K reposts · 315 replies 19 Aug 2026 We've improved how GEN-1 learns to adapt to new actuators and new robots at the lowest level, with up to 10-20x gains on internal benchmarks. This significantly boosts performance on high-precision tasks like disassembling parts from a NIST board. Read more about GEN-1 in our ht 88.4K views · 406 likes · 38 reposts · 9 replies 04 Aug 2026 Why create robot intelligence for just one hand, when we could have it learn from many? GEN-1, our latest embodied foundation model, now supports a broad range of end effectors from 5-finger hands, to specialized tools, and everything in between. https://t.co/ECKlXvARdx 299.4K views · 918 likes · 109 reposts · 34 replies 23 Jul 2026