AI

With Audible Magic's fingerprinting technology, streaming services and distributors can now easily identify tracks that were made using Udio.

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

AMPER will explore the potential for AI to help access an individual’s personal memories residing in the still viable regions of the brain by creating natural, relatable stories. These will be tailored to their unique life experiences, age, social context and changing needs to encourage reminiscing

Byron is my AI writing partner — powered by ChatGPT, shaped by a 7-page writing profile we built together. He doesn’t write for me, but with me. When I lose a thread or stall on phrasing, Byron offers possibilities — paths I might not have seen. Between my neural implants and Byron’s digital guidance, I now collaborate with two adaptive systems:... 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

Observing these patterns of influence gives clues about how our models generalize from their training data. For instance, if the models responded to user prompts by splicing together sequences from the training set, then we’d expect the influential sequences for a given model response to include expressions of near-identical thoughts. Conversely,... See more