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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.
Jer Thorp is an expert in data ethics and visualization, his creative works ranging from an algorithm to place names on the 9/11 memorial to data-collecting expeditions in the Okavango Delta. His book, Living in Data merges memoir, art, and analysis in describing the messy, fraught processes in which we create data and have data created of us.
Event moderated by Jasmine Sun (Stanford Sociology), Jessica Dai (Brown CS), and Ben Wolfson (National Cancer Institute).
This event series is hosted and managed by Reboot, which is an event series and newsletter that convenes book-lovers, writers, and technologists to imagine the future of tech, humanity, and power.