PhyrexNi
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I just saw the latest proposal from NEAR, and I felt quite touched. NEAR is an early project that performed very well in the previous cycle, but with the market's correction and the flourishing of public chains, it has faced some pressure. Nevertheless, NEAR has consistently been among the top two public chains in terms of active users on Dapp Radar for a long time, indicating a solid user base.
Of course, for friends in the crypto space, a price pump is considered just. Therefore, this proposal aims to reduce the maximum annual inflation rate of $NEAR from 5% to 2.5%, in order to slow down the net issuance of tokens and reduce sell-offs in the market. Moreover, given the continuously increasing activity on the NEAR chain, rewarding users through inflation may not be the best choice; excessive token issuance could undermine long-term value. If we can combine this with a fee-burning mechanism, NEAR can gradually enter a deflationary phase, which would have a positive impact on its price.
Additionally, NEAR continues to make strides in areas including AI Agents, NEAR Intents, and chain abstraction. I hope to give tokens more practical use value by lowering inflation, releasing liquidity that was previously locked due to inflation incentives, and guiding users to shift from locking up their assets to using (consuming) them. This would create a closed loop of 'use to burn to scarcity.'
Furthermore, NEAR's development in the AI field is quite promising, as it holds the second-largest position in Grayscale's decentralized AI fund, indicating that the traditional market sees further opportunities for NEAR in decentralized AI development.
Of course, for friends in the crypto space, a price pump is considered just. Therefore, this proposal aims to reduce the maximum annual inflation rate of $NEAR from 5% to 2.5%, in order to slow down the net issuance of tokens and reduce sell-offs in the market. Moreover, given the continuously increasing activity on the NEAR chain, rewarding users through inflation may not be the best choice; excessive token issuance could undermine long-term value. If we can combine this with a fee-burning mechanism, NEAR can gradually enter a deflationary phase, which would have a positive impact on its price.
Additionally, NEAR continues to make strides in areas including AI Agents, NEAR Intents, and chain abstraction. I hope to give tokens more practical use value by lowering inflation, releasing liquidity that was previously locked due to inflation incentives, and guiding users to shift from locking up their assets to using (consuming) them. This would create a closed loop of 'use to burn to scarcity.'
Furthermore, NEAR's development in the AI field is quite promising, as it holds the second-largest position in Grayscale's decentralized AI fund, indicating that the traditional market sees further opportunities for NEAR in decentralized AI development.
Disclaimer: Includes third-party opinions. No financial advice. May include sponsored content. See T&Cs.
NEAR
2.072
-4.25%