melvincarvalho on Nostr: "Most AI systems today are stuck in a “cage” designed by humans. They rely on ...
"Most AI systems today are stuck in a “cage” designed by humans. They rely on fixed architectures crafted by engineers and lack the ability to evolve autonomously over time. This is the Achilles heel of modern AI — like a car, no matter how well the engine is tuned and how skilled the driver is, it cannot change its body structure or engine type to adapt to a new track on its own. But what if AI could learn and improve its own capabilities without human intervention? In this post, we will dive into the concept of self-improving systems and a recent effort towards building one."
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"content":"\"Most AI systems today are stuck in a “cage” designed by humans. They rely on fixed architectures crafted by engineers and lack the ability to evolve autonomously over time. This is the Achilles heel of modern AI — like a car, no matter how well the engine is tuned and how skilled the driver is, it cannot change its body structure or engine type to adapt to a new track on its own. But what if AI could learn and improve its own capabilities without human intervention? In this post, we will dive into the concept of self-improving systems and a recent effort towards building one.\"\n\nhttps://richardcsuwandi.github.io/blog/2025/dgm/\n\n\n\nhttps://media.ditto.pub/12424d06ca7a0a9519336784f6702efccaf0f7f13b3ec15d92526b95a7036a3e.png",
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