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The post notes that local AI models have become significantly more useful over the past year, moving from toys to practical tools for coding and workflows, despite still lagging behind closed models for complex tasks.
The author shares excitement about three continual learning methods: SEAL models that self-adapt, test-time learning, and lifelong model editing, predicting true continual learning by 2027–2028 that will create a feedback loop toward artificial superintelligence.
Sam Altman notes that ChatGPT currently feels significantly more responsive and intelligent.