Neural Networks and Novelty: A Window Into Harvard’s Innovators | Harvard Independent

Paul Graham: There are already a huge number of books written by (or for) people who are ambitious for fame but have nothing original to say. AI is going to multiply this number shockingly. ChatGPT is these people's dream.

Related: AI will cause an increase in the number of PhDs in fields like education, where merely writing a dissertation of the re

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Clune also stresses the importance of thinking about the ethics of the new technology from the start. There is a good chance that AI-designed neural networks and algorithms will be even harder to understand than today’s already opaque black-box systems.

With all the challenges in ethics and computation, and the knowledge needed from fields like linguistics, psychology, anthropology, and neuroscience, and not just mathematics and computer science, it will take a village to raise to an AI.

In 2023, AI must absorb an influx of tourists – thin GPT wrappers, MBA tweet threads about AI trends, LinkedIn bios changing from #crypto to #AI. Genuine technologists will join the development effort, but filtering out negative human capital is challenging.

Undoubtedly, more builders are needed to apply and productionize the latest technologies,

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