Jeff Dean
① 他说过的话
7 条
可能有一点是人们还没有完全意识到,拥有基于智能体的系统是多么可能,这些系统不仅可以针对你关心的问题运行一两个小时,而且在某些问题领域,并且在拥有高能力模型作为底层支撑的情况下,你可以让它们运行几天或几周,并完成真正非常复杂的任务。
指向原始笔记的链接
Probably one thing is people don’t quite realize how possible it is to have agent-based systems that can run not just for an hour or two hours on a problem you care about, but for some problem domains and with highly capable models underlying them, you can get them to run for days or weeks and do really, really complicated tasks.
—— Jeff Dean · [04:55]
所以那个系统在几年后产生了一个芯片,其能效比当时的 CPU 和 GPU 高 30 到 80 倍,而且延迟也低得多,比如延迟降低了 20 到 30 倍。
指向原始笔记的链接
And so that system produced a chip a couple of years later that was 30 to 80 times more energy efficient than CPUs and GPUs of the day, and also much, much lower latency, like 20 to 30x lower latency.
—— Jeff Dean · [08:12]
我的意思是,如果你真正理解数据,你应该能够非常好地压缩它。
指向原始笔记的链接
I mean, if you truly understand the data, you should be able to compress it really well.
—— Jeff Dean · [15:54]
所以,你知道,要寻找模型成功率为 0% 或 1% 的东西,而不是 20%。
指向原始笔记的链接
So, you know, look for something where the model succeeds 0% or 1% of the time, not 20%.
—— Jeff Dean · [28:46]
如果你选对了问题并且成功解决了它,这比你出色地执行一个针对相当无聊问题的研究调查要好得多。
指向原始笔记的链接
if you pick the problem well and you succeed in solving it, that’s way better than if you delightfully execute a research investigation into a rather boring problem.
—— Jeff Dean · [34:27]
一个有趣的思想实验是,如果你试图使用可能每天有 20 个错误而不是每百万年一个错误的晶体管构建一个系统,会发生什么。
指向原始笔记的链接
an interesting thought experiment is what would happen if you tried to build a system out of transistors that might have 20 errors per day rather than one every million years.
—— Jeff Dean · [38:29]
所以这现在是一个验证装置,但它不再需要一个晚上,他们制造了一个速度快 300,000 倍并且几乎与运行全尺寸模拟器一样准确的东西。
指向原始笔记的链接
So this is now a validation device, but instead of it taking a night, they made something that was 300,000 times faster and nearly as accurate as running the full scale simulator.
—— Jeff Dean · [45:17]
② 出现在这些集
1 集
③ 他谈到的
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