Will
will
Building IdeaFeed and many AI things for fun and profit. The best way to predict the future is to invent it.
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Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
The rapid rise of compound AI systems (a.k.a., AI agents) is reshaping the labor market, raising concerns about job displacement, diminished human agency, and overreliance on automation. Yet, we lack a systematic understanding of the evolving landscape. In this paper, we address this gap by introducing a novel auditing framework to assess which occupational tasks workers want AI agents to automate or augment, and how those desires align with the current technological capabilities.
