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MIT Economist Warns AI Is Poised to Turn Economy Into "Mad Max" Scenario

MIT economist David Autor is warning that AI could create a "Mad Max" scenario, in which the job market becomes dominated by cheap and commoditized labor. Autor made his grim prediction during an interview on the "Possible" podcast, hosted by LinkedIn cofounder Reid Hoffman and his chief of staff Aria Finger. When asked whether he thought society is headed towards a "Wall-E" scenario — where "people sit around on hovercraft armchairs watching holographic TV" — or much grimmer alternative, Auto

Topics: ai autor jobs people work

The Download: China’s winning at advanced manufacturing, and a potential TikTok sale

In 2013, a trio of academics showed convincing evidence that increased trade with China beginning in the early 2000s and the resulting flood of cheap imports had been an unmitigated disaster for many US communities, destroying their manufacturing lifeblood. The results of what they called the “China shock” were gut-wrenching: the loss of 1 million US manufacturing jobs and 2.4 million jobs in total by 2011. If in retrospect all that seems obvious, it’s only because the research by David Auto

Normalizing Flows Are Capable Generative Models

Normalizing Flows (NFs) are likelihood-based models for continuous inputs. They have demonstrated promising results on both density estimation and generative modeling tasks, but have received relatively little attention in recent years. In this work, we demonstrate that NFs are more powerful than previously believed. We present TarFlow: a simple and scalable architecture that enables highly performant NF models. TarFlow can be thought of as a Transformer-based variant of Masked Autoregressive Fl