How the AI industry forgot two of its best ideas

# AI's Forgotten Tools The AI industry has accidentally abandoned two practical ideas that could make enterprise AI systems work better: organizing AI systems around distinct "objects" (like how you'd organize a real business with separate departments that each handle their own responsibilities), and reinforcement learning (where AI systems learn by trial-and-error, like how humans improve at tasks through practice). Just like ancient Roman concrete techniques were lost for centuries before being rediscovered, these approaches fell out of favor not because they stopped working, but because the industry got distracted by newer trends and different ways of making money.
Technological progress is usually told as a story of accumulation. We imagine each generation inheriting everything the previous one learned and adding something new. Reality is less tidy. Sometimes technologies do not disappear because they failed. They disappear because the surrounding archi
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