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6 resources
Boston Consulting Group briefing on how corporate leaders should think about when artificial general intelligence might arrive and what to do about it. Described from the title — the publisher's page would not let our reader in.
A Google DeepMind report on how AI might keep developing after human-level AGI, focusing on the transition to artificial general superintelligence and grounding it in the theory of Universal AI.
DAIR Institute project page on the TESCREAL bundle — the set of utopian ideologies (transhumanism, extropianism, singularitarianism, cosmism, rationalism, effective altruism, longtermism) the institute links to eugenics and to Silicon Valley's push for AGI.
Open-access paper by Timnit Gebru and Émile P. Torres (First Monday, April 2024) arguing that the drive to build AGI is rooted in the Anglo-American eugenics tradition, and urging researchers to work on defined tasks that can be tested for safety.
Essay arguing that scaling up neural networks — more data, compute and parameters — may be sufficient to reach general intelligence, without fundamentally new algorithms. Written by researcher and essayist Gwern Branwen.
Daniel Kokotajlo's research blog on what a world with very capable AI might look like, including the AI 2027 scenario work.
From the site: Preparing for a world with AGI. Click to read AI Futures Project, by Daniel Kokotajlo, a Substack publication with tens of thousands of subscribers.
Why I recommend it: This is forecasting, not measurement — treat it as a well-argued guess. Useful for the questions it raises rather than the dates it puts on them.
