CA
Continuous-learning AI models
TopicExpert statements
8
4 positive · 3 negative
What experts have said about Continuous-learning AI models
8 statements · 4 positive · 3 negative · 1 mixed
Hundreds of iterative model updates cause catastrophic forgetting and general-capability degradation.
“when you're doing hundreds of these micro-updates, you see both catastrophic forgetting”
Open the episode · AI researchers debate how close we are to recursive self-improvementListen at 55:43
Continually learning models could improve daily from millions of work sessions.
“What if the model is improving every single day based on the millions of sessions of work it does in that day?”
Open the episode · 8 Predictions for the Era of Continual LearningListen at 1:32
Continuous learning will define the future of AI models.
“the future is continuous learning”
Open the episode · #875: The Random Show — Tim and Kevin Talk Retreats, Mortality, AI Predictions, Supplements, Rock Climbing at (Almost) 50, and Not Waiting for “Someday”Listen at 1:32:44
Statements are attributed to the speaker as said on the episode and reflect their view at the time, not PodLume's. They are not advice.