Challenges in Achieving Artificial General Intelligence (AGI)
By
theahura
The kind of bagel that ruins lesser bagels for you.
Summary
The article discusses the challenges of achieving Artificial General Intelligence (AGI), highlighting the inefficiency of manually programming every possible scenario. It contrasts this with the current state of AI development, referencing OpenAI and Anthropic, and emphasizes the complexity of creating versatile AI systems.
Key quotes
· 3 pulledThe goal of AGI is to make programs that can do lots of things. Unfortunately, it's not all that easy to program 'do lots of things' into a computer.
Naively, you could spend a lot of time hand coding every possible scenario that may occur – some gigantic switch statement that has a unique handler for every possible input.
But this is obviously going to take too long and is extremely inefficient and really only theoretically possible.
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