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The Dot and the Swarm: Benefitting from the Bitter Lesson in AI
Originally published on One Useful Thing by Ethan Mollick
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Summary & Key Takeaways
- The article discusses "The Bitter Lesson" in AI development.
- It argues for the superiority of scalable computational methods over human-engineered solutions.
- The piece explores strategic implications for AI research and development.
- It suggests a focus on general learning algorithms.
- The concept of "The Dot and the Swarm" likely illustrates this principle.
- This perspective influences how AI systems are designed and scaled.
Our Commentary
Ah, 'The Bitter Lesson.' It's a recurring theme in AI, and honestly, it's hard to argue against its track record. We keep trying to outsmart the machines with clever designs, and then brute force computation just wins. This article probably dives into why that keeps happening. I find it both humbling and a little frustrating.
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