Pig Rich

I'm increasingly amused by how current personal AI systems work. It sounds private, but ultimately, the data is still being used for advertising and tracking. It feels like I'm confiding in a money making machine. Recently, I tried @TheARCTERMINAL AI, and what caught my attention wasn't the hype, but how naturally it remembers me. It retains my preferences and usage patterns across multiple sessions, yet still allows me to choose what's saved. The security is also quite different. Client side data is encrypted, and they've added Zkurt receipts so agents can prove they've processed the work without revealing the entire content. It's the first time I've seen an AI team prioritize true data ownership instead of just saying trust us. I also find @NomismaNetwork approach quite interesting, building separate subchains for AI agents and DeFi. Their point system rewards consistent activity, not spamming for a few days and then disappearing. It feels much more realistic. It's still early and not perfect, but at least I see some teams starting to think more seriously about privacy, AI memory, and how to reward users more fairly instead of just farming hype.

It feels like we should start preparing for the post quantum era now, rather than waiting until things start to fall apart before frantically trying to fix things. I've noticed @quipnetwork is taking a rather interesting approach by focusing on building post quantum storage infrastructure around digital assets instead of just talking about the quantum future. RSA and ECC were once considered extremely secure, but the current pace of quantum computing development makes me think that won't last forever. At least to me, this is more like reinforcing the house before a storm than trying to create FUD to attract attention. #quip Bullish @TheARCTERMINAL

I've noticed that the more AI agents appear, the story is no longer about monitoring. What people really need is accountability. Because the more useful an agent is, the more it has to do behind the scenes: reading data, remembering context, routing information, even acting on behalf of the user. But that's the problem. Users need to know what happened and whether the system worked correctly, but at the same time, nobody wants all the data or internal logic completely exposed. I think this is the gap that @TheARCTERMINAL is trying to fill. ARC uses ZKURT receipts to create evidence that an action was performed correctly without revealing the underlying data or process. In my opinion, this is the logical direction for AI agents in the future: not to monitor everything, but to be able to prove everything when needed. Bullish @useTria