I have been thinking a lot lately about “diachronic AI” and “vintage LLMs” — language models designed to index a particular slice of historical sources rather than to hoover up all data available. I’ll have more to say about this in a future post, but one thing that came to mind while writing this one is the point made by AI safety researcher Owain Evans about how such models could be trained:
新兴业态的成长需要包容的环境与精准的支撑。“手搓经济”若想进一步发展壮大，离不开一套适配的支持体系。制度层面，不妨探索针对个人开发者与一人公司的灵活税收政策、高效知识产权登记机制及低成本纠纷仲裁渠道，降低其制度性交易成本。市场层面，可以构建公共创新基础设施，提供普惠算力支持与开源技术社区，让开发者不必“重复造轮子”，更聚焦于创意升级。平台也应完善原创保护机制，严格禁止抄袭行为，为开发者守住创新果实。
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