轨迹数据 (trajectory)
集里怎么说它
- 《Handshake：靠学生网络四个月做到五千万ARR》(05:11起):本集说轨迹是整个环境在收集你正在做的事情，包括屏幕、鼠标移动、口述思考的旁白，用于理解人类如何一步步使用工具解决问题
① 提到它的金句
4 条
即使你把这个乘以 10,即使那也不是一个千人在 R&D 公司的巨大投资。我想你可能会有两三个那样的,有意义地改变业务的轨迹。
指向原始笔记的链接
even if you multiply this by 10, even that’s not a big investment across a company of a thousand in R&D. You’re going to have like two or three of those, I think, meaningfully change the trajectory of the business.
—— Eddie Kim · [36:14]
我们看到 Claude 模型和其他模型本质上是沿着这个指数轨迹演变的,安全带已经成为模型能够实现什么的限制因素。
指向原始笔记的链接
What we see as Claude models and other models essentially evolve alongside this exponential trajectory is that harnesses have become the limiting factor to what models can achieve.
—— Isabella Kai He · [30:22]
我认为我们的担忧是，在默认轨迹上，你可能会在很短的时间内从与人类竞争的 AI 系统直接跨越到狂野的超人类 AI 系统。
指向原始笔记的链接
Where I think a concern that we have is on the default trajectory, you maybe go straight from AI systems that are competitive with humans to AI systems that are wildly superhuman in a very short period of time.
—— Ryan Greenblatt · [32:33]
如果你考虑某人的技能曲线，它可能开始得很高，但如果他们没有一个良好的上升轨迹，他们将会在一家指数级扩张的公司里非常艰难地工作。
指向原始笔记的链接
If you think about somebody’s skill curve, it might start out really high, but if they don’t have a good trajectory upwards, they are going to have a really hard time working in a company that is scaling exponentially.
—— Max Junestrand · [18:08]
② 出现在这些集
1 集
- 《Handshake：靠学生网络四个月做到五千万ARR》 — 作为概念
③ 关联
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Garrett Lord · Lenny · Handshake · 后训练 · 数据标注 · 智能体 · 预训练 · SFT · 带人类反馈的强化学习 · 评分标准