On Progress Toward AGI

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The development of artificial general intelligence (AGI) aims to achieve AI that matches human intelligence, characterized by learning, reasoning, and adaptability. Current AI systems excel in specific tasks but lack the ability to generalize skills or perform complex reasoning. The Abstract and Reasoning Corpus for Artificial General Intelligence (ARC-AGI) serves as a benchmark to compare human and AI performance, focusing on inductive reasoning. The test has evolved to increase difficulty as AI capabilities improve, with significant cash prizes for competition participants.A key challenge in AI development is memory management, as models struggle to integrate past actions into current tasks effectively. While some companies, like British Petroleum, recognize AI's potential, they hesitate to deploy it due to concerns about understanding AI errors. This reflects a broader societal skepticism towards AI compared to human judgment, despite AI often making fewer mistakes.Concerns about the rapid growth of AI data centers and their impact on energy infrastructure are also highlighted, particularly in Texas, where demand is expected to surge.
  • #31
"The most depressing reason to write for AI is that unlike most humans, AIs still read. They read a lot. They read everything. Whereas, aided by an AI no more advanced than the TikTok algorithm, humans now hardly read anything at all..."

https://theamericanscholar.org/baby-shoggoth-is-listening/

Baby Shoggoth Is Listening​

Why are some writers tailoring their work for AI, and what does this mean for the future of writing and reading?
 

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