Madhu Guru：解决 AI 对齐前先解决人类对齐
Before we solve AI alignment, we have a pretty serious human alignment problem.
Madhu Guru 回应 Dario Amodei 关于 AI 行业应放缓的新文章，称对其的恶意反应令人不适，并认为该文值得一读、延续了 Demis Hassabis 7 月提出的部分想法。他提出人类需在机会、风险与二阶效应、如何衡量，以及企业、政府与国家间如何协调这几个问题上先达成对齐。
查看原帖We Must Pace the Frontier: I’ve written a new essay on why the AI industry should slow down, with a three-part plan for doing so. Anthropic is unilaterally committing to the first of these steps. We’ll provide third-party evaluators with permanent, employee-level access to our systems, so that they can verify adherence to our safety measures, report on…
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We Must Pace the Frontier: I’ve written a new essay on why the AI industry should slow down, with a three-part plan for doing so. Anthropic is unilaterally committing to the first of these steps. We’ll provide third-party evaluators with permanent, employee-level access to our systems, so that they can verify adherence to our safety measures, report on incidents, and assess models’ alignment during training. You can read the full post here: https://t.co/OGyPb7yaYt
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Before we solve AI alignment, we have a pretty serious human alignment problem.
It is jarring to see the bad-faith reaction to Dario's piece from so many sides. I don't agree with every point of his essay but do believe it is a thoughtful piece everyone should read. It builds on some of the ideas @demishassabis raised in July.
It is clear we need to focus on aligning amongst us humans on a few questions:
What is the opportunity, risks, second-order effects?
How do we measure all of this?
How do companies, governments and countries coordinate?
AI will benefit humanity if we can get our act together and move together.