6 free resources on this topic. Everything here is free and hand-picked. You can also search within this topic.
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.
