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Jobs

AI news about employment and the labour market.

3 stories in the last 24 hours

Today

2 stories
  1. Worth knowing Understanding AI

    This robotics concept helps explain the jaggedness of frontier capabilities

    This framework offers a clear explanation for the uneven progress of frontier AI and why high benchmark scores in verifiable domains may not quickly translate into widespread automation of general white-collar work.

    An essay on Understanding AI argues that the "sim-to-real gap" from robotics explains why AI models have rapidly advanced in math and programming while having a more modest impact on other professions. Domains like coding and formal mathematics can be easily simulated and automatically verified in training environments, whereas most white-collar jobs involve complex human and real-world interactions that cannot be easily simulated.

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Yesterday

1 story
  1. Worth knowing TechCrunch

    OpenAI is already trying to shape the 2028 election

    The essay illustrates how leading AI labs are adapting their lobbying strategies to address growing voter anxiety over data center expansion, electricity costs, and job displacement.

    OpenAI's Chief Global Affairs Officer Chris Lehane published an essay outlining five AI policy priorities ahead of the 2028 U.S. presidential election, covering worker protections, education, AI safety, and data center development. Policy experts note this marks a shift in rhetoric for OpenAI following the midterm elections, though critics argue the proposals primarily encourage wider AI adoption and infrastructure expansion without placing binding constraints on corporate power.

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