AI

Unlike humans, AI can’t flexibly navigate changing environments yet because it does not have a notion of its “self” and what it can do with it.

The community remains puzzled about whether these models genuinely generalize to unseen tasks, or seemingly succeed by memorizing the training data. This paper makes important strides in addressing this question. It constructs a suite of carefully designed counterfactual evaluations, providing fresh insights into the capabilities of... See more

Quanta interviewed 19 current and former NLP researchers to tell that story. From experts to students, tenured academics to startup founders, they describe a series of moments — dawning realizations, elated encounters and at least one “existential crisis” — that changed their world. And ours.

Turkle referenced the issue of behavioral metrics dominating AI research, and her concern that the interior life was being overlooked, and concluded by saying that the human cost of talking to machines isn’t immediate, it’s cumulative. 'What happens to you in the first three weeks may not be...the truest indicator of how that’s going to limit you,... See more

The more I use language models, the more monstrous they seem to me. I don’t mean that in a partic­u­larly negative sense. Frankenstein’s monster is sad, but also amazing. Godzilla is a monster, and Godzilla rules.

If consciousness really can arise in a jumble of silicon chips, we run the risk of creating countless AIs — beings, really — that can not only intelligently perform tasks, but develop feelings about their lives. 

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Rather than asking if each new AI system is finally the one that has conscious experience, focusing on the more fundamental question of

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So much of of the existing music, film and TV culture — using 20th century technology — is cookie cutter, lifeless and uninspiring.

The democratization of the AI tools means even more people can pump out content, so context will matter more than ever in order to give meaning to the work.