AI

In ordinary language, we frequently speak of machinery or ideas ‘doing’ things in our lives. But they do nothing. People – human persons – produce, operate and apply their creations. The problem with assigning agency, even informally, to the nonhuman is that this disguises the strength of human control, limited though it is in other respects. It... See more

Agrawal et al. argue that the framing of AI automation versus augmentation is wrong. Rather than being distinct they are often one and the same. They say that AI, initially intended for automating tasks, inadvertently acts as a force for augmentation of the broader workforce. For example, automating diagnostic skills in healthcare could diminish... See more

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

Harvard Developed AI Identifies the Shortest Path to Human Happiness

When you hear a phrase like a “7B parameter model,” 7 billion parameters is a measure of the dataset, not the model . You obviously couldn’t train such a model out of, say, a text of 50 words (well you could, but it would be highly informationally degenerate). And if you gave the training protocol 100 internets worth of data, 7B parameters may not... See more