Julia Galef

We should be bold enough to venture guesses, expressed clearly enough such that it’s easy for someone else, or the universe, to prove us wrong. In the long run, I think this policy leads to much better models — and better thinkers — than the policy of trying to minimize our error in the short run. (source)

Disagreements are interesting. When thoughtful people with access to the same information reach very different conclusions from each other, we should be curious about why. I think we tend to be incurious about this simply because it’s so common that we’re used to it. (source)

Simply expanding large language models isn't sufficient for achieving artificial general intelligence. True AGI requires not only scale but the ability to reason, understand causality, and display a robust form of decision-making that closely mimics human cognitive capabilities. Current models excel at processing and generating text based on patterns, but they lack understanding and consciousness.