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AI Safety Needs Great Product Builders | Ought

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In his AI Safety Needs Great Engineers post, Andy Jones explains how software engineers can reduce the risks of unfriendly artificial intelligence. Even without deep ML knowledge, these developers can work effectively on the challenges involved in building and understanding large language models. I would broaden the claim: AI safety doesn’t need only great engineers – it needs great product builders. This post will describe why, list some concrete projects for a few different roles, and show how they contribute to AI going better for everyone. This post is aimed at anyone who has been involved with building software products: web developers, product managers, designers, founders, devops, generalist software engineers, … I’ll call these product builders. Non-technical roles (e.g. operations, HR, finance) do exist in many organisations focussed on AI safety, but this post isn’t aimed at them. In the past, most technical AI safety work was done in academia or in research labs. This is cha

AI Safety Needs Great Product Builders | Ought ought AI Safety Needs Great Product Builders By James Brady November 2, 2022 In his AI Safety Needs Great Engineers post, Andy Jones explains how software engineers can reduce the risks of unfriendly artificial intelligence. Even without deep ML knowledge, these developers can work effectively on the challenges involved in building and understanding large language models. I would broaden the claim: AI safety doesn’t need only great engineers – it needs great product builders. This post will describe why, list some concrete projects for a few diffe

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