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# ![@Vorsik2 Avatar](https://lunarcrush.com/gi/w:26/cr:twitter::1398633823588524033.png) @Vorsik2 Vorsik

Vorsik posts on X about decentralized, faster the most. They currently have XXX followers and X posts still getting attention that total XX engagements in the last XX hours.

### Engagements: XX [#](/creator/twitter::1398633823588524033/interactions)
![Engagements Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1398633823588524033/c:line/m:interactions.svg)

- X Months XX -XX%
- X Year XXXXX -XX%

### Mentions: X [#](/creator/twitter::1398633823588524033/posts_active)
![Mentions Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1398633823588524033/c:line/m:posts_active.svg)

- X Months X -XX%
- X Year XX -XX%

### Followers: XXX [#](/creator/twitter::1398633823588524033/followers)
![Followers Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1398633823588524033/c:line/m:followers.svg)

- X Months XXX -XXXX%
- X Year XXX -XX%

### CreatorRank: undefined [#](/creator/twitter::1398633823588524033/influencer_rank)
![CreatorRank Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1398633823588524033/c:line/m:influencer_rank.svg)

### Social Influence [#](/creator/twitter::1398633823588524033/influence)
---

**Social category influence**
[cryptocurrencies](/list/cryptocurrencies)  XXXXX%

**Social topic influence**
[decentralized](/topic/decentralized) 33.33%, [faster](/topic/faster) XXXXX%
### Top Social Posts [#](/creator/twitter::1398633823588524033/posts)
---
Top posts by engagements in the last XX hours

"4. Warm sAmpling Policy Optimization (SAPO) is a fully decentralized and asynchronous post-training reinforcement learning algorithm. Instead of centralized GPU clusters SAPO is designed to work with large numbers of heterogeneous nodes"  
[X Link](https://x.com/Vorsik2/status/1980707887950491740) [@Vorsik2](/creator/x/Vorsik2) 2025-10-21T18:48Z XXX followers, XX engagements


"3. Post-training language models using reinforcement learning (RL) have become one of the most effective ways to enhance reasoning capabilities. But there's a problem: scaling RL is an expensive unreliable process often requiring carefully designed infrastructure"  
[X Link](https://x.com/Vorsik2/status/1980707885152649569) [@Vorsik2](/creator/x/Vorsik2) 2025-10-21T18:48Z XXX followers, X engagements


"5. SAPO demonstrates that sharing expertise can be a key benefit of post-training AI. It allows models to train faster communities to directly contribute to progress and reduces the cost and instability of scaling"  
[X Link](https://x.com/Vorsik2/status/1980707891184333138) [@Vorsik2](/creator/x/Vorsik2) 2025-10-21T18:48Z XXX followers, X engagements


"6. 🙌With its collaborative reinforcement learning SAPO represents a new paradigm: decentralized communities of models (and people) can train each other. It's a scalable open and practical path to more powerful reasoning capabilities"  
[X Link](https://x.com/Vorsik2/status/1980707894803980346) [@Vorsik2](/creator/x/Vorsik2) 2025-10-21T18:48Z XXX followers, X engagements

[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]

@Vorsik2 Avatar @Vorsik2 Vorsik

Vorsik posts on X about decentralized, faster the most. They currently have XXX followers and X posts still getting attention that total XX engagements in the last XX hours.

Engagements: XX #

Engagements Line Chart

  • X Months XX -XX%
  • X Year XXXXX -XX%

Mentions: X #

Mentions Line Chart

  • X Months X -XX%
  • X Year XX -XX%

Followers: XXX #

Followers Line Chart

  • X Months XXX -XXXX%
  • X Year XXX -XX%

CreatorRank: undefined #

CreatorRank Line Chart

Social Influence #


Social category influence cryptocurrencies XXXXX%

Social topic influence decentralized 33.33%, faster XXXXX%

Top Social Posts #


Top posts by engagements in the last XX hours

"4. Warm sAmpling Policy Optimization (SAPO) is a fully decentralized and asynchronous post-training reinforcement learning algorithm. Instead of centralized GPU clusters SAPO is designed to work with large numbers of heterogeneous nodes"
X Link @Vorsik2 2025-10-21T18:48Z XXX followers, XX engagements

"3. Post-training language models using reinforcement learning (RL) have become one of the most effective ways to enhance reasoning capabilities. But there's a problem: scaling RL is an expensive unreliable process often requiring carefully designed infrastructure"
X Link @Vorsik2 2025-10-21T18:48Z XXX followers, X engagements

"5. SAPO demonstrates that sharing expertise can be a key benefit of post-training AI. It allows models to train faster communities to directly contribute to progress and reduces the cost and instability of scaling"
X Link @Vorsik2 2025-10-21T18:48Z XXX followers, X engagements

"6. 🙌With its collaborative reinforcement learning SAPO represents a new paradigm: decentralized communities of models (and people) can train each other. It's a scalable open and practical path to more powerful reasoning capabilities"
X Link @Vorsik2 2025-10-21T18:48Z XXX followers, X engagements

creator/x::Vorsik2
/creator/x::Vorsik2