大模型智能为何未能自动化更多任务
精选理由
探讨大模型智能与实际自动化能力之间的差距，解释为何现有技术未能充分发挥潜力。
大模型已变得极其智能，但未能自动化更多人类任务。@CompleteSkeptic 认为我们已有足够智能，但当前模型未被设计为软件中的可靠组件。基于人类喜好奖励响应的 RLHF 方法不一定能确保任务完成。
原文 · Justine Moore
LLMs have gotten incredibly smart. So why haven’t they automated more human tasks? @CompleteSkeptic argues we already have the intelligence we need - but current models aren't built to function as reliable components inside software. Rewarding responses that humans like (RLHF) doesn’t necessarily lead to getting tasks done. Love this clip from the @a16z podcast! Your browser does not support the video tag. 🔗 View on Twitter 💬 6 🔄 2 ❤️ 25 👀 5068 📊 9 ⚡
