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MIT researchers developed eta-learning, which enforces statistical constraints from qualitative knowledge during training to generate plausible extremes even when none appear in the data.

Ben Goertzel compressed his AGI timeline from three-to-four years to 9-12 months after AGI-26, where researchers used AI agent swarms to do their actual work.