It is the process of rapidly ever improving differentiation between noise and signal patterns and constant generalization of those that produces intelligence, not merely compression of data. [D]

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The Reddit post discusses the belief that true intelligence in AI arises from its ability to rapidly improve by distinguishing between useful (signal) and useless (noise) information, as well as its capacity for generalization. The author argues that without a clear, unavoidable goal driving the system and allowing it to develop new faculties based on feedback, current AI is merely processing data rather than exhibiting intelligence.

The post highlights the need for an intrinsic goal to distinguish between signal and noise in data, which is currently lacking in most AI systems.
It suggests that without a clear objective, AI may be used by investors to accumulate wealth, rather than serving human interests effectively.
The author acknowledges potential future challenges such as ensuring the safety of AI systems from misuse and deciding on an appropriate ideological framework for these systems.

In essence, this post emphasizes that true intelligence in AI requires more than just data processing; it necessitates a structured approach to goal-setting and continuous learning.

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### Takeaways:
– Current AI lacks the intrinsic goal necessary for intelligent behavior.
– Without such a goal, AI may serve only as a tool for wealth accumulation by investors.
– Future work should focus on designing AI systems with clear, safe goals.

Originally published at reddit.com. Curated by AI Maestro.

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