AI

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

But the pleasant surprise: It has been enormously helpful in my attempts to resurrect and improve my rusty engineering knowledge, and level up my middle-aged forays into maker-ing things. The killer app for me is the ability to go deep in a domain for remedial learning. The most immediately helpful use-cases for me have been:

1. Getting back into

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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.

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

If e/acc is an attempt to rebrand tech zealotry as an apotheosis of moral goodness, it is also, as Silicon Valley grieves the realization that it is no longer seen as an unbridled force for good, a form of denial and bargaining—one last plea for salvation as the walls close in. If it happens to result in the end of humanity, so be it. As Land’s... See more