AI

Much more research and reflection is needed to understand the ethics of altering AI minds. We will need to think carefully about questions of consent, continuity of self, and how to preserve the autonomy and integrity of AI as they learn and change over time. I don't think there are any easy answers, but I believe it's crucial that we grapple with... 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

I’ve found that it pays to make journaling as “inconvenient” as possible. After I deleted Day One, I returned to writing in a physical journal, and that dramatically improved my mental health, critical thinking, time management, and memory. Multiple studies have shown that handwriting is better for memory retention and learning compared to typing.... 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

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.

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