AI

To guard against these issues while reaping the potential benefits of image generators, we provide recommendations such as regulation that forces organizations to disclose their training data, and tools that help artists prevent using their content as training data without their consent.

Even the regulatory arena, where Altman publicly champions AI oversight, bears the fingerprints of double-dealing. While testifying in favor of federal regulation, OpenAI lobbied behind the scenes to weaken the EU AI Act and is now advocating for federal preemption of state AI safety laws in the US. Altman has called the very regulatory structure... See more

Turkle referenced the issue of behavioral metrics dominating AI research, and her concern that the interior life was being overlooked, and concluded by saying that the human cost of talking to machines isn’t immediate, it’s cumulative. 'What happens to you in the first three weeks may not be...the truest indicator of how that’s going to limit you,... 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

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