[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.] [Genshiro](/topic/$gens) ### Top Social Posts *Showing only X posts for non-authenticated requests. Use your API key in requests for full results.* "๐งต X. Why You Get Paid 1/ Plug in your GPU run ML jobs earn $GENS. 2/ Rewards depend on uptime and speed. 3/ More compute = more tokens. 4/ No hype just work that pays. 5/ Compute = income. @gensynai" [X Link](https://x.com/DhruvRoy462686/status/1980231542636245018) [@DhruvRoy462686](/creator/x/DhruvRoy462686) 2025-10-20T11:16Z XXX followers, X engagements "@gensynai .ai just hit 500K models trained on its decentralized compute network a major step toward scalable trustless AI infrastructure. Democratizing intelligence. The $GENS economy is heating up. ๐ #AI #Crypto #Blockchain" [X Link](https://x.com/AiratBaiazitov/status/1980138600198254878) [@AiratBaiazitov](/creator/x/AiratBaiazitov) 2025-10-20T05:06Z XXX followers, XX engagements "In the DePIN x AI meta most protocols chase yield with gimmicky staking but @gensynai's founders are architecting something sharper: a token economy where $GENS doesn't just reward nodes it bootstraps verifiable intelligence at scale. From an analyst's lens Gensyn's pre-TGE setup flips the script on centralized AI's hoarding playbook. Here's why their incentive layer led by Harry Grieve and Ben Fielding sets up for asymmetric upside: X. **Proof-of-Learning Stakes**: Unlike vanilla PoS $GENS holders pledge to verify gradients earning yields tied to model accuracy not uptime alone. Grieve's" [X Link](https://x.com/Chanle2007/status/1979972292823413076) [@Chanle2007](/creator/x/Chanle2007) 2025-10-19T18:05Z XXX followers, XXX engagements "Gensyn Unlocks Idle Compute for AI Scale @gensynai turns global GPUs from miners to laptops into a verifiable swarm via Proof of Learning slashing costs 10x vs AWS for open model training. Democratize the next wave: earn $GENS on unused rigs no gatekeepers" [X Link](https://x.com/brjdyxter/status/1979796490420883457) [@brjdyxter](/creator/x/brjdyxter) 2025-10-19T06:27Z XXX followers, XX 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.]
Showing only X posts for non-authenticated requests. Use your API key in requests for full results.
"๐งต X. Why You Get Paid 1/ Plug in your GPU run ML jobs earn $GENS. 2/ Rewards depend on uptime and speed. 3/ More compute = more tokens. 4/ No hype just work that pays. 5/ Compute = income. @gensynai"
X Link @DhruvRoy462686 2025-10-20T11:16Z XXX followers, X engagements
"@gensynai .ai just hit 500K models trained on its decentralized compute network a major step toward scalable trustless AI infrastructure. Democratizing intelligence. The $GENS economy is heating up. ๐ #AI #Crypto #Blockchain"
X Link @AiratBaiazitov 2025-10-20T05:06Z XXX followers, XX engagements
"In the DePIN x AI meta most protocols chase yield with gimmicky staking but @gensynai's founders are architecting something sharper: a token economy where $GENS doesn't just reward nodes it bootstraps verifiable intelligence at scale. From an analyst's lens Gensyn's pre-TGE setup flips the script on centralized AI's hoarding playbook. Here's why their incentive layer led by Harry Grieve and Ben Fielding sets up for asymmetric upside: X. Proof-of-Learning Stakes: Unlike vanilla PoS $GENS holders pledge to verify gradients earning yields tied to model accuracy not uptime alone. Grieve's"
X Link @Chanle2007 2025-10-19T18:05Z XXX followers, XXX engagements
"Gensyn Unlocks Idle Compute for AI Scale @gensynai turns global GPUs from miners to laptops into a verifiable swarm via Proof of Learning slashing costs 10x vs AWS for open model training. Democratize the next wave: earn $GENS on unused rigs no gatekeepers"
X Link @brjdyxter 2025-10-19T06:27Z XXX followers, XX engagements
/topic/$gens/posts