问HN：神经多样性是否能为构建更好的人工智能提供秘密？
我对今天正在构建人工智能系统的人的观点很感兴趣。特别是，您在哪里看到我们对神经多样性和基础脑生理学的理解影响了人工智能开发的方法？
为了提供一些背景，我的专业是生物化学/生物技术，并不是深度人工智能专家。我一直在探索神经多样性所带来的经验如何帮助塑造人工智能的发展。
与其仅仅分享一个链接，这里有一个简短的总结：
• 不同的脑生理结构及其产生的思维模式可以揭示盲点并激发新颖的解决方案。
• 人工智能的发展是否正在趋向于一套狭窄的优化策略？
• 人类的认知多样性可能指向互补的方法，从而扩展人工智能的能力范围。
我写了一篇较长的文章，更详细地阐述了这个想法，欢迎讨论这些想法在实践中是否、何处以及如何被尝试。
完整文章请见： https://www.linkedin.com/pulse/could-neurodiversity-hold-clues-fixing-ais-jagged-edmund-delaney-3zpke
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I’m interested in views from people who are building AI systems today. In particular, where have you seen our understanding of neurodiversity and underlying brain physiology influence approaches to AI development?<p>For context, I’m a biochemist / biotechnologist by training and not a deep AI specialist. I’ve been exploring how lessons from neurodiversity might help shape AI development.<p>Rather than just drop a link, here’s a short TLDR:<p>• Different brain physiologies and the resulting thinking patterns can surface blind spots and spark novel solutions
• Is AI development converging on a narrow set of optimisation strategies?
• Human cognitive diversity might point to complementary approaches that expand the range of AI capabilities<p>I’ve written a longer piece that sets out the idea in more detail and would welcome discussion on whether, where, and how these ideas are being tried in practice.<p>Full article here: https://www.linkedin.com/pulse/could-neurodiversity-hold-clues-fixing-ais-jagged-edmund-delaney-3zpke