AI

In a stunning rebuke of traditional GOP deregulatory instincts, the Senate voted 99–1 to kill the measure. For the first time in decades, conservative priorities placed local cultural guardianship over the absolute freedom to innovate. That vote showed just how unsteady the old coalitions have become, and how powerful the populist realignment... See more

scientific investigations of the boundaries between conscious and unconscious systems are urgently needed, and they cite ethical, legal and safety issues that make it crucial to understand AI consciousness. For example, if AI develops consciousness, should people be allowed to simply switch it off after use?

Artificial intelligence is already killing off important parts of the human experience. But one of its most consequential murders—so far—is the demise of a longstanding rite of passage for students worldwide: an attempt to synthesize complex information and condense it into compelling analytical prose. It’s a training ground for the most... See more

AuthorityHacker surveyed 1,200 music consumers and got some striking results: 93% said they did not value AI-generated music as highly as music produced by humans. And, while over 60% said they would consider listening to AI music, some 56% also said they would not willingly pay for songs generated using AI. Perhaps most striking: 89% of those... See more

The web is no longer primarily human-generated text created for human readers; it is increasingly AI-generated text created for algorithmic amplification, mixed with human-generated text optimized for the same algorithmic reward functions.

As AI systems train on this degraded corpus, they learn to reproduce its characteristics—shallow reasoning,... 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.”

We, as humans, sometimes receive streams of tokens and produce tokens in response, forming words, sentences, lines of code ... but always with the ability to peek outside the stream and check in with ground-floor reality. We pause and consider: does this word really stand for the thing I intend it to stand for? Does this sentence capture the real... 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

In 2021, researchers made a striking discovery while training a series of tiny models on toy tasks [1]. They found a set of models that suddenly flipped from memorizing their training data to correctly generalizing on unseen inputs after training for much longer. This phenomenon – where generalization seems to happen abruptly and long after fitting... See more