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In the last year, AI models have rapidly improved on public benchmarks measuring their ability to carry out research tasks autonomously. Such performance suggests that models may be capable of automating parts of the AI R&D process itself, thereby accelerating the pace of AI progress.

In the last year, AI models have rapidly improved on public benchmarks measuring their ability to carry out research tasks autonomously. Such performance suggests that models may be capable of automating parts of the AI R&D process itself, thereby accelerating the pace of AI progress.
This talk will cover key insights from the third AI100 report, AI Goes Mainstream: The Scaling Era and the Rise of Generative AI, set for release in November 2026. The report was commissioned by the AI100 standing committee and led by study panel chair Michael Wooldridge.

This talk will cover key insights from the third AI100 report, AI Goes Mainstream: The Scaling Era and the Rise of Generative AI, set for release in November 2026. The report was commissioned by the AI100 standing committee and led by study panel chair Michael Wooldridge.
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.

Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
We analyze the relation between regulatory intervention against a dominant technology platform and complementor performance. Using a new, hand-collected dataset on enterprise infrastructure software firms from 1998-2004, we examine the relationship between the U.S. Department of Justice's antitrust lawsuit against Microsoft (a dominant enterprise platform owner) and value creation and value capture among infrastructure software firms (complementors) and Microsoft itself. The data show that citation-weighted patents by complementors is increased following the antitrust settlement but profitability is reduced. The findings suggest a social benefit to antitrust enforcement in the form of increased innovation but caution that disrupting the “order” of an industry may lead to losses in efficiency.
