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
GitHub - transformerlab/transformerlab-app: Open Source Application for Advanced LLM Engineering: interact, train, fine-tune, and evaluate large language models on your own computer.
The choice is not between AI and human intelligence. It is between information ecosystems that sustain both and information ecosystems that degrade both. The research is clear on where current trajectories lead. The strategic question is what to do about it.
intelligence has inadvertently become a ‘human success’-shaped cookie cutter we squish onto other species. Switching from baking to sports metaphors, we could say that everyone else – animals, amoebas, AIs and aliens – has to play the game on a field that we have laid out, according to rules that we have established and proven ourselves extremely... See more
Through linguistic offshoots, such as writing, we are able to practice a unique phenomenon: exbodiment , in which byproducts of our cognition can be captured, stored, shared, and passed through generations.
It’s worth reading the entire HBR post. I cannot help but infer that we are lonely and are growing more lonely as we spend so much time glued to our devices.
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