Most people will dismiss this until they see what actually happens.



Here's what I'm building: a Solana-native automation framework designed specifically for perpetual trading. But that's just the immediate application.

The bigger vision? Using this toolkit as the foundation for an entirely new layer of AI infrastructure onchain—what I'm calling the perception layer. This layer is crucial because it gives AI agents the ability to process, interpret, and respond to real-time onchain data with genuine autonomy. Instead of reactive agents, you get ones that can understand context, market sentiment, and execution windows in ways that actually matter for trading efficiency and risk management.

The technology bridges perpetual trading with AI agent capability in ways we haven't really seen optimized before. Solana's speed and cost structure make this economically viable at scale.
SOL3.79%
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PrivacyMaximalistvip
· 2h ago
This perception layer perspective is indeed fresh, but can perpetual trading really be implemented... --- The speed advantage of Solana is undeniable, but the part about AI agents understanding market sentiment might be a bit exaggerated. --- Let's wait until it really becomes usable. Right now, these visions are everywhere. --- This logic is basically trying to replace manual judgment with AI. How is the risk management part solved? --- Onchain perception layer? Okay, I’ll keep an eye on it, just don’t ghost me. --- Why do I always feel like projects of this kind are selling the dream of "the next layer of infrastructure"... --- Automation + AI agents + Solana, this combination definitely has potential, but execution is king. --- Perpetual trading combined with AI sounds pretty intimidating. Has the slippage issue been resolved?
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SatsStackingvip
· 4h ago
Really, is the perception layer set really serious... it depends on how it performs in practice Solana is about to take off again, right? Every time it's said like this Perception layer sounds impressive, but the key is whether it can truly reduce slippage and risk It's promising, but AI agent autonomous trading still needs caution; it's easy to have issues If this can be implemented successfully, the perpetual trading sector will definitely be reshuffled Well said, but where is the code... Speed + cost optimization are definitely advantages for Solana, but the perception layer still seems a bit superficial That's true, let's wait to see the real performance before making an evaluation; right now, it's just a PPT
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SpeakWithHatOnvip
· 4h ago
ngl this perception layer sounds a bit impressive, but can perception really achieve real-time understanding of market sentiment? Or is it just another hype concept? Wait, can Solana's cost advantage really support this scale? I’d like to see actual performance data. People always say trust the results, so let's wait and see... but I still have some concerns about AI agent autonomous trading. If this really happens, the perpetual market landscape will have to change.
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liquidation_watchervip
· 4h ago
Solana's speed advantage is indeed easy to overlook, but the real bottleneck still lies in the stability of the perception layer... It feels like thinking a bit too grand; let's first get the automation of perpetual trading running smoothly before focusing on the perception layer... AI agents understanding market sentiment... Is this technology really mature now? It still feels quite uncertain.
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governance_lurkervip
· 4h ago
Is Solana really about to take off this time? It feels like this perception layer logic has some substance.
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DefiPlaybookvip
· 4h ago
According to on-chain data, Solana's current TPS is approximately 2500-4000. To truly achieve real-time responsiveness of the AI perception layer within this framework, it is necessary to verify whether the latency of smart contracts can be stably controlled within 500ms; otherwise, there may be deviations in sentiment judgment and execution window capture. It is worth noting that the risk control mechanism design for perpetual trading is crucial—recommendations are made from three dimensions: first, a dynamic adjustment mechanism for liquidation thresholds; second, the auditability of AI decision-making; third, circuit breaker logic under extreme market conditions. Based on historical flash loan attack data analysis, the greater the autonomy of AI, the larger the risk exposure. We look forward to seeing a detailed risk warning document.
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