AI

Cut the bullshit: why GenAI systems are neither collaborators nor tutors

Enter Large Language Models (LLMs). The first tranche of products and startups leveraging LLMs has kept within the mental model of selling software to achieve step-function improvements in end-user productivity. The "Copilot for [x]" trend reflects this mental model. While there are fantastic startups innovating to improve employee productivity,... 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?

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

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