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나는 미래의 소프트웨어가 제어 흐름을 위한 코드와 "퍼지" 판단을 위한 작은 신경 프로그램을 결합할 것이라고 점점 더 생각하고 있습니다. 이것이 제가 ProgramAsWeights를 통해 탐구해 왔던 것입니다. 이 프로그램은 다음과 같은 질문에 답합니다.
Original post / EN
I increasingly think future software will combine code for control flow with small neural programs for "fuzzy" judgments. That's what I've been exploring with ProgramAsWeights, which answers the question of where those neural programs come from: they are "compiled" from English descriptions. For example, I combined 30 neural programs with a decision tree to build a course website helper that looks like a chatbot but runs locally. Each small program handles a question like "Which specialist answerer should this be routed to", and code controls the overall flow. You can try building with it here: https://t.co/Bwgcn362bc
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Diogo Almeida @CompleteSkeptic
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x https://t.co/JSybNG2BKJ
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