Developing AI Like Raising Kids
How to Raise Your Artificial Intelligence: A Conversation With Alison Gopnik and Melanie Mitchell
Julien Crockettlareviewofbooks.orgIsabelle Levent and added
We’re not just bits of intelligence bouncing through the world. We have complicated emotions, and nuanced and unspoken social hierarchies. We act irrationally and pursue goals that may not be in our best interests. We don’t exist within the clean confines of an operating system or a laboratory—we act and react in a highly variable world. Creating a... See more
Alice Albrecht • The Case for Cyborgs
Britt Gage and added
If AI starts to generate intelligence by itself, there’s no guarantee that it will be human-like. Rather than humans teaching machines to think like humans, machines might teach humans new ways of thinking.
Will Douglas Heaven • AI is learning how to create itself
Kasper Jordaens and added
LeCun points to four essential characteristics of human intelligence that current AI systems, including LLMs, can’t replicate: reasoning, planning, persistent memory, and understanding the physical world. He stresses that LLMs’ reliance on textual data severely limits their understanding of reality: “We’re easily fooled into thinking they are intel... See more
Azeem Azhar • 🧠 AI’s $100bn question: The scaling ceiling
MargaretC added
Rui Wang thinks human-designed challenges are going to be a bottleneck and that real progress in AI will require AI to come up with its own. “No matter how good algorithms are today, they are always tested on some hand-designed benchmark,” he says. “It’s very hard to imagine artificial general intelligence coming from this, because it is bound by f... See more
Will Douglas Heaven • AI is learning how to create itself
Kasper Jordaens added
Rich Sutton's "The Bitter Lesson" reveals a fascinating pattern in AI research:
For decades, AI researchers have tried to encode human knowledge and expertise into their systems. They believed this would lead to better results. They were wrong. Time and time again, the approaches that won out were simple, general methods that leveraged raw computat
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