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Self Improving Agents
How Autonomous Systems Learn and Get Smarter Over Time
A static agent is useful, but a self improving one is revolutionary.
Hereโs how autonomous agents evolve and grow smarter without retraining, human intervention, or constant manual updates.
Good night, fam! ๐
Just hit another milestone - 1050 yaps on @KaitoAI!
Been reflecting on how much the landscape has shifted since I started this journey. What used to be speculation is now becoming reality, and I'm honestly not sure we're ready for how fast things are moving.
Had an interesting conversation with a dev friend who's building on @SentientAGI. He mentioned something that stuck with me: "We're not just making AI open-source, we're making it community-owned." The difference matters more than I initially realized. When 700K+ people collectively guide Dobby's development, you get AI that actually serves people instead of corporate interests.
Meanwhile, watching @Everlyn_ai creators in Discord sharing their latest clips has this early YouTube energy. Except now, every view potentially feeds back into model training, and every creator owns a piece of the platform they're building on. Wild to think we're witnessing the birth of a new creative economy in real-time.
@peaq keeps quietly shipping real infrastructure while everyone debates DePIN theory. 5M+ devices actually earning revenue autonomously feels like science fiction, but here we are. Sometimes the best tech is the kind you don't notice until it's everywhere.
The @katana team solving MEV protection at the protocol level instead of just complaining about it shows the kind of builder mentality that actually moves things forward. And @Somnia_Network hitting 1M+ TPS while maintaining sub-second finality? These aren't vanity metrics anymore - they're table stakes for what's coming.
Real recognizes real in this space. The builders are building, the communities are forming, and something special is emerging from all this chaos.
Time to get some sleep. Tomorrow's another day of discovery.