AI

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 state-of-the-ar... See more

“We realized rasterization was reaching its limits,” he said, referring to the traditional, widely used method of rendering a 3D scene. “2018 was a ‘bet the company’ moment. It required that we reinvent the hardware, the software, the algorithms. And while we were reinventing CG with AI, we were reinventing the GPU for AI.”

People are acting as if AI is 100x more powerful than it is. We are wayyyy premature in trying to regulate what is essentially advanced chatbots.

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 de... See more

This report offers an important ‘link in the chain’ to further understanding the opportunities and limitations for public participation in AI, and we hope the findings will shape and influence industry practice in this area.

If e/acc is an attempt to rebrand tech zealotry as an apotheosis of moral goodness, it is also, as Silicon Valley grieves the realization that it is no longer seen as an unbridled force for good, a form of denial and bargaining—one last plea for salvation as the walls close in. If it happens to result in the end of humanity, so be it. As Land’s lat... See more