#newt $NEWT
𝑹𝒆𝒕𝒉𝒊𝒏𝒌𝒊𝒏𝒈 𝑺𝒐𝒗𝒆𝒓𝒆𝒊𝒈𝒏𝒕𝒚 𝒊𝒏 𝑨𝑰 𝑨𝒑𝒑𝒄𝒉𝒂𝒊𝒏𝒔
I spent considerably more time than expected reviewing OpenGradient’s Neuro Stack today. I initially approached it assuming that “sovereign AI appchains” was a straightforward concept. However, after reading the documentation, I found myself reconsidering what sovereignty actually means in this context.
My initial understanding was simple: if a chain has its own governance, application logic, token, and custom precompiles, then it is sovereign.
Then I noticed something I had almost overlooked. Components such as inference, model tooling, storage, and even settlement can still depend on a shared stack. That does not make those chains any less sovereign. Rather, it made me realize I had been conflating different forms of independence into a single concept.
I now see it as a set of layers. Governance is one layer, while infrastructure is another. A chain may fully control one while intentionally sharing the other, especially when rebuilding everything from scratch would be costly and would slow innovation.
The only question I still have concerns the long-term trade-off. Shared primitives can enable stronger tooling and faster development, but if every chain relies on the same foundation, where does ecosystem diversity ultimately come from?
I would not characterize that as a flaw. I simply do not know yet. I find the question more compelling than the answer at this stage, and that is precisely why OpenGradient is worth following.
@NewtonProtocol
$NEWT #Newt
#cryptouniverseofficial
#Binance
Can an AI appchain be sovereign while sharing infrastructure?
𝑹𝒆𝒕𝒉𝒊𝒏𝒌𝒊𝒏𝒈 𝑺𝒐𝒗𝒆𝒓𝒆𝒊𝒈𝒏𝒕𝒚 𝒊𝒏 𝑨𝑰 𝑨𝒑𝒑𝒄𝒉𝒂𝒊𝒏𝒔
I spent considerably more time than expected reviewing OpenGradient’s Neuro Stack today. I initially approached it assuming that “sovereign AI appchains” was a straightforward concept. However, after reading the documentation, I found myself reconsidering what sovereignty actually means in this context.
My initial understanding was simple: if a chain has its own governance, application logic, token, and custom precompiles, then it is sovereign.
Then I noticed something I had almost overlooked. Components such as inference, model tooling, storage, and even settlement can still depend on a shared stack. That does not make those chains any less sovereign. Rather, it made me realize I had been conflating different forms of independence into a single concept.
I now see it as a set of layers. Governance is one layer, while infrastructure is another. A chain may fully control one while intentionally sharing the other, especially when rebuilding everything from scratch would be costly and would slow innovation.
The only question I still have concerns the long-term trade-off. Shared primitives can enable stronger tooling and faster development, but if every chain relies on the same foundation, where does ecosystem diversity ultimately come from?
I would not characterize that as a flaw. I simply do not know yet. I find the question more compelling than the answer at this stage, and that is precisely why OpenGradient is worth following.
@NewtonProtocol
$NEWT #Newt
#cryptouniverseofficial
#Binance
Can an AI appchain be sovereign while sharing infrastructure?
Yes governance is enough
Yes governance is enough
Sometimes depends on the stack
Unsure still deciding
5 දින ඉතිරිව ඇත