Bitter Lesson is about AI agents

The Race for AI Progress In 2019, Richard Sutton, wrote his groundbreaking essay titled ‘The Bitter Lesson’. Simply put, the essay concludes that systems which get better with higher compute beat the systems that do not. Or specifically in AI: raw computing power consistently wins over intricate human-designed solutions. I used to believe that clever orchestrations and sophisticated rules were the key to building better AI systems. That was a typical sofware dev mentality. You build a system, look for edgecases, cover them and you are good to go. Boy, was I wrong. Think of it like training for a marathon. You could spend months perfecting your running form and buying the latest gear, but nothing beats putting in the miles. In AI, those miles are compute cycles. Nature’s Blueprint Recently, I was tending to my small garden when it hit me - a perfect analogy for this principle. My plants don’t need detailed instructions to grow. Given the basics (water, sunlight, and nutrients), they ... Read full article.