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?
 
Computer science news on Phys.org
  • #32
LeCun, by his choice, has taken a different direction. He has been telling anyone who asks that he thinks large language models, or LLMs, are a dead end in the pursuit of computers that can truly outthink humans. He’s fond of comparing the current start-of-the-art models to the mind of a cat—and he believes the cat to be smarter. Several years ago, he stepped back from managing his AI division at Meta, called FAIR, in favor of a role as an individual contributor doing long-term research.

“I’ve been not making friends in various corners of Silicon Valley, including at Meta, saying that within three to five years, this [world models, not LLMs] will be the dominant model for AI architectures, and nobody in their right mind would use LLMs of the type that we have today,” the 65-year-old said last month at a symposium at the Massachusetts Institute of Technology.

https://www.msn.com/en-us/news/tech...s-now-he-thinks-everyone-is-wrong/ar-AA1QtEKt
 
  • #33
My coworker and I are very focused on an aspect of my architecture that we call a World View. Based on the above, it sounds very similar to the world models with respect to how we're approaching its design. I'm sure that his is more advanced but I'm definitely on that page w.r.t. the future.
 

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