SKS ✓

@sallubroz · joined 21 Jun 2024

Curious about Web3 Sharing what I discover & think Always learning.

22 369Followers

16 451Following

115 809Posts total

14.3KViews on collected posts

Son gönderiler

SKS ✓@sallubroz7 Sep

A little sky, a little freedom, and a whole lot of peace. Sometimes, that’s all we need. https://t.co/7oNRMBsC3l 471 views · 57 likes · 0 reposts · 39 replies Open on X →

SKS ✓@sallubroz7 Sep

me trusting AI with my insurance claim because it left more receipts than i do 😭 meanwhile @RialoHQ making sure every step has a history bro even AI gotta show proof of work now lol 605 views · 100 likes · 1 reposts · 73 replies Open on X →

SKS ✓@sallubroz7 Sep

Everyday crypto becomes useful when it works for the things you already spend money on. @joinCero is bringing that idea closer to real life, from groceries and monthly subscriptions to travel and daily expenses. Instead of keeping digital assets separate from normal spending, h 851 views · 153 likes · 9 reposts · 129 replies Open on X →

SKS ✓@sallubroz7 Sep

Good morning Have a good day https://t.co/Uz1JLQWP6A 1.7K views · 266 likes · 10 reposts · 251 replies Open on X →

SKS ✓@sallubroz6 Sep

@sallubroz Sleep tight. Tomorrow’s the next level. 11 views · 2 likes · 0 reposts · 0 replies Open on X →

SKS ✓@sallubroz6 Sep

@sallubroz Good night.. Sleep well 7 views · 2 likes · 0 reposts · 0 replies Open on X →

SKS ✓@sallubroz6 Sep

@sallubroz See you in the morning my bro 12 views · 2 likes · 0 reposts · 0 replies Open on X →

SKS ✓@sallubroz6 Sep

good night everyone 🫶 another day done, another little chapter closed. rest well and come back stronger tomorrow. https://t.co/4h42AQjEGb 1.7K views · 205 likes · 8 reposts · 170 replies Open on X →

SKS ✓@sallubroz1 Sep

@sallubroz better data really does make robots way smarter 25 views · 4 likes · 0 reposts · 0 replies Open on X →

SKS ✓@sallubroz1 Sep

10/ That's what makes the contributor side of physical AI exciting for me. My individual trajectory might look tiny. Maybe I'm just moving a virtual object from one side of a table to another. But zoom out. Thousands of people creating different demonstrations, encountering h 47 views · 7 likes · 0 reposts · 1 replies Open on X →

SKS ✓@sallubroz1 Sep

9/ Better training data doesn't magically create a perfect robot. There are still models, hardware, sensors, testing and many other pieces involved. But the data shapes what the policy gets the chance to learn. Give it narrow experience and its understanding can remain narrow. 37 views · 7 likes · 0 reposts · 0 replies Open on X →

SKS ✓@sallubroz1 Sep

8/ Think about how much richer this can become at scale. Instead of learning from one operator repeating one movement, a robot policy could learn from a much wider range of demonstrations, corrections and situations. The important part isn't collecting data just to make a large 46 views · 9 likes · 0 reposts · 0 replies Open on X →

SKS ✓@sallubroz1 Sep

7/ This is where @axisrobotics becomes interesting to me. Through Axis Hub, contributors can work on simulated robot tasks and create trajectories through their actions. A trajectory isn't simply: “The object started here and finished there.” It captures what happened between 35 views · 10 likes · 0 reposts · 0 replies Open on X →

SKS ✓@sallubroz1 Sep

6/ And different people can add different experiences. Give the same manipulation task to several contributors and they probably won't complete it with exactly the same motion. Someone takes a shorter path. Someone approaches from another angle. Someone makes a mistake and ht 63 views · 9 likes · 0 reposts · 0 replies Open on X →

SKS ✓@sallubroz1 Sep

5/ This is where human input becomes powerful. Humans naturally react to small changes without thinking much about them. If something slips, we adjust our hand. If an object isn't where we expected, we change direction. If the first approach doesn't work, we try another one. 35 views · 8 likes · 0 reposts · 0 replies Open on X →

SKS ✓@sallubroz1 Sep

4/ Failure becomes especially interesting here. Suppose a robot reaches for an object and misses. At first, that looks like a bad demonstration. But imagine a human takes control at that exact moment, adjusts the movement and completes the task. Now there is something https:/ 46 views · 9 likes · 0 reposts · 0 replies Open on X →

SKS ✓@sallubroz1 Sep

3/ This helped me understand something important. A huge dataset and a useful dataset aren't automatically the same thing. Robots need variety in what they experience. Objects can appear in different positions. People can complete the same task using different movements. http 59 views · 8 likes · 0 reposts · 1 replies Open on X →

SKS ✓@sallubroz1 Sep

2/ Now imagine we want to teach a robot to pick up a bottle. We give it thousands of demonstrations. Sounds great. But there is a problem. What if almost every demonstration shows the bottle standing in the same place? The robot may become excellent at that setup without htt 62 views · 8 likes · 0 reposts · 0 replies Open on X →

SKS ✓@sallubroz1 Sep

1/ First, what is a robot policy? I like to think of it as the decision-making system behind the movement. A robot observes what is around it and has to decide what action should come next. Where should my arm move? How should I approach this object? When should I close the 371 views · 30 likes · 1 reposts · 4 replies Open on X →

SKS ✓@sallubroz1 Sep

When we watch a robot smoothly pick something up, open a drawer, or place an object exactly where it belongs, the movement almost looks natural. But the part we don't see is what interests me more. Before a robot can make a good decision, it needs useful examples to learn from. 8.2K views · 191 likes · 20 reposts · 137 replies Open on X →

Aynı büyüklükteki hesaplara karşı

Son 90 güne ait 20 gönderi, 10K–100K takipçi aralığıyla yan yana. benzerlerinden daha az kişiye ulaşıyor, ama onları çok daha güçlü bağlıyor.

Medyan görüntülenme53bu hesap92410K–100K için medyan

Erişim, %0.24%bu hesap3.62%10K–100K için medyan

Etkileşim, %19.24%bu hesap1.52%10K–100K için medyan

Ölçüt	Bu hesap	10K–100K için medyan	Oran
Gönderi başına medyan görüntülenme	53	924	0.06×
Erişim (görüntülenme ÷ takipçi)	0.24%	3.62%	0.07×
Etkileşim oranı	19.24%	1.52%	12.7×

Bu aralıktaki diğer hesaplar → Başka bir hesapla karşılaştır → Bu kıyas değerleri nasıl kuruluyor →

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

631 Sep

1.7K6 Sep

1.7K7 Sep

851

605

471

Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

14.29%1 Sep

28.57%

19.57%

18.92%

17.02%

16.00%

22.42%6 Sep

16.67%

28.57%

18.18%

31.75%7 Sep

34.20%

28.76%

20.38%

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

What the audience does

Likes55.7%1 087 in total

Reposts2.5%49 in total

Replies41.3%805 in total

Quotes0.3%5 in total

Bookmarks0.2%4 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.

Son gönderiler

Aynı büyüklükteki hesaplara karşı

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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