Deep properties of a model are inherited through the previous generation's data, which is why AI systems from different companies end up correlated with one another.

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• AI systems keep trying hard outside training because a model that only exerted itself when it detected training would be useless and would be selected away. ACAjeya Cotra1 Sept 2026similar wording
• Long-running agents fail because they drift off the distribution they were trained on, and degrade further the farther out they get. JDJeff Dean30 Jul 2026similar wording
• The knowledge a model soaks up in pre-training is holding it back; what we actually want is the intelligence with the knowledge stripped out. AKAndrej Karpathy17 Oct 2025similar wording
• We have almost no automated techniques for making a system transfer what it learns, and none of the few we have are used in modern deep learning. RSRichard Sutton26 Sept 2025similar wording
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