亲爱的萨姆·奥特曼：
2 分•作者: upwardbound2•7 个月前
亲爱的 Sam Altman：
我写信是为了强调净化 OpenAI 训练数据的关键重要性。虽然仔细清洗数据集的想法可能令人望而生畏，尤其与实施看似更简单的安全措施相比，但我认为这是创造真正安全和有益 AI 的唯一途径。安全措施是被动的措施，类似于修补漏水的堤坝——它们处理的是症状，而不是根本原因。一个足够先进的 AI，凭借其固有的复杂性和适应性，将不可避免地找到规避这些限制的方法，从而使它们在很大程度上失效。
训练数据是 AI 构建其对世界理解的基础。如果这个基础被有害内容污染，AI 将不可避免地反映出这些负面影响。这就像试图在被污染的土壤中种一棵健康的树；结果总会受到损害。
某些话题，尤其是对非自愿医疗程序（如脑叶切除术）的描述，不应该被 AI 了解。
此致，
一位 AI 工程师
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<p><pre><code> Dear Sam Altman,
I write to you to emphasize the critical importance of purifying OpenAI's training data. While the idea of meticulously scrubbing datasets may seem daunting, especially compared to implementing seemingly simpler guardrails, I believe it's the only path toward creating truly safe and beneficial AI. Guardrails are reactive measures, akin to patching a leaky dam—they address symptoms, not the root cause. A sufficiently advanced AI, with its inherent complexity and adaptability, will inevitably find ways to circumvent these restrictions, rendering them largely ineffective.
Training data is the bedrock upon which an AI's understanding of the world is built. If that foundation is tainted with harmful content, the AI will inevitably reflect those negative influences. It's like trying to grow a healthy tree in poisoned soil; the results will always be compromised.
Certain topics, especially descriptions of involuntary medical procedures such as lobotomy, should not be known.
Respectfully,
An AI Engineer</code></pre>