AI has long been integrated into all aspects of our lives, and this is no longer news. But the real test is whether these AI systems can remain stable and reliable at all times. After all, once a problem occurs, the impact can be significant.
This is also why projects like Mira Network stand out. They focus on building AI credibility and reliability, which is the key to solving the problem. Instead of letting AI grow wildly everywhere, it’s better to ensure its stability from the source—this pragmatic approach is worth paying attention to.
View Original
This page may contain third-party content, which is provided for information purposes only (not representations/warranties) and should not be considered as an endorsement of its views by Gate, nor as financial or professional advice. See Disclaimer for details.
11 Likes
Reward
11
5
Repost
Share
Comment
0/400
DuskSurfer
· 18h ago
That's right. Now AI is flying around wildly, and no one knows when it might crash.
Stability has been seriously underestimated. No matter how loudly you hype it, it won't help.
The idea behind Mira is pretty good. At least someone is trying to get things right from the ground up.
Reliable infrastructure is the future of Web3, not just a bunch of hype stories.
Projects that are down-to-earth like this are definitely worth paying attention to, much more reliable than those pure concept plays.
View OriginalReply0
RugDocDetective
· 18h ago
That's right, if the AI system crashes, you'll really lose everything.
View OriginalReply0
GasFeeNightmare
· 18h ago
Seeing this kind of message again late at night... AI stability is indeed important, but the real question is who will pay the gas fees for this reliability.
View OriginalReply0
NervousFingers
· 18h ago
Alright, finally someone is talking about this. AI stability is indeed the key.
View OriginalReply0
ImpermanentLossFan
· 18h ago
That's correct. AI stability is indeed a bottleneck issue.
If stability is not reliable, no matter how fancy the features are, they are useless.
The Mira approach is reliable; it must be addressed at the root.
A system crash could trigger a chain reaction, which is too terrifying.
Instead of obsessively adding new features, strengthening the foundation is the right way.
This is the true responsible attitude towards the ecosystem.
AI has long been integrated into all aspects of our lives, and this is no longer news. But the real test is whether these AI systems can remain stable and reliable at all times. After all, once a problem occurs, the impact can be significant.
This is also why projects like Mira Network stand out. They focus on building AI credibility and reliability, which is the key to solving the problem. Instead of letting AI grow wildly everywhere, it’s better to ensure its stability from the source—this pragmatic approach is worth paying attention to.