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On the Measure of Intelligence
2019
Francois Chollet
TLDR: My short version is that intelligence is not just getting a high score on a fixed benchmark. It is more about how well a system can adapt to genuinely new problems.
Why I care: This is one of the papers that keeps showing up if you care about ARC, generalization, and what we even mean by reasoning in the first place.
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World models, artificial general intelligence and the hard problems of life–mind continuity
2026
Adam Safron et al.
TLDR: A very high-level but compelling map of connected research paths, from world models and the “easy” and “hard” problems of AI in science to consciousness, collective intelligence, and self-modelling systems.
Why I care: It brings these themes together at a higher level and opens up many interesting directions to explore.