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Description:
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Ken and I discuss open-endedness, the pursuit of ambitious goals by seeking novelty and interesting products instead of advancing directly toward defined objectives. We talk about evolution as a prime example of an open-ended system that has produced astounding organisms, Ken relates how open-endedness could help advance artificial intelligence and neuroscience, and we discuss a range of topics related to the general concept of open-endedness, and Ken takes a couple questions from Stefan Leijnen and Melanie Mitchell.
Related:
Some key take-aways:
- Many of the best inventions were not the result of trying to achieve a specific objective.
- Open-endedness is the pursuit of ambitious advances without a clearly defined objective.
- Evolution is a quintessential example of an open-ended process: it produces a vast array of complex beings by searching the space of possible organisms, constrained by the environment, survival, and reproduction.
- Perhaps the key to developing artificial general intelligence is by following an open-ended path rather that pursing objectives (solving the same old benchmark tasks, etc.).
0:00 – Intro 3:46 – Skip Intro 4:30 – Evolution as an Open-ended process 8:25 – Why Greatness Cannot Be Planned 20:46 – Open-endedness in AI 29:35 – Constraints vs. objectives 36:26 – The adjacent possible 41:22 – Serendipity 44:33 – Stefan Leijnen question 53:11 – Melanie Mitchell question 1:00:32 – Efficiency 1:02:13 – Gentle Earth 1:05:25 – Learning vs. evolution 1:10:53 – AGI 1:14:06 – Neuroscience, AI, and open-endedness 1:26:06 – Open AI |