算法 (algorithms)
集里怎么说它
- 《KCRW 台长 Jennifer Farrow:公共媒体如何不做「无聊的西兰花」》(30:30起):本集说控制算法的万亿美元公司被激励去推动参与度，而人在愤怒、被激怒时参与度更高——即那台「愤怒机器」。
① 提到它的金句
7 条
然而，如果算法再有两三次跳跃，那我们都会变得有点像猴子了，对吧？
指向原始笔记的链接
However, if we get another two or three jumps in algorithms, right, then we all becomes a bit like monkeys, right?
—— Harry Stebbings · [38:14]
你的模型可能会被泄露，算法可能会被复制，但在现实世界中数亿英里的完全自主操作，由证据级评估和公开审计证明支持，这要难得多、得多。
指向原始笔记的链接
Your models can be leaked, algorithms can be replicated, but hundreds of millions of miles of fully autonomous operations in the real world, backed by evidence-grade evaluation and publicly audited proof, that is much, much more difficult to replicate.
—— Dmitri Dolgov · [45:38]
你需要花哨的算法，但你想要那些将随计算扩展的花哨算法。
指向原始笔记的链接
You need fancy algorithms, but you want fancy algorithms that will scale with computation.
—— Rich Sutton · [09:33]
所以如果我们想要转向这些新型算法，事情在变好之前几乎不可能不先变糟。
指向原始笔记的链接
So if we want to move towards these new kind of algorithms, it is almost impossible that things will not get worse before they get better.
—— 嘉宾 · [48:20]
我认为作为一个创业者,人类这台「肉身计算机」在任何时刻都运行着不同的算法。
指向原始笔记的链接
I think as an entrepreneur, there’s people, you know, the human meat computer has different algorithms that it’s running at any point in time.
—— Baiju Bhatt · [58:47]
我听到很多工程师谈论如何把 LLM 变成确定性流程,而我的主张是:有很多问题是确定性算法无法解决的。
指向原始笔记的链接
I hear a lot of engineers talk about how we turn LLMs into deterministic processes, and my contention is actually there’s a lot of problems that you can’t solve with deterministic algorithms.
—— Cody Menefee · [16:22]
所以我们会看到这个转变,我认为,是从黑盒推荐算法转向给用户更多对算法的控制权,让算法变得更可交互、更可引导。
指向原始笔记的链接
And so we’re gonna see this shift, I think, from black box recommendations algorithms to giving users more control over their algorithm and algorithms becoming more interactive and steerable.
—— Devansh Tandon · [12:54]
② 出现在这些集
1 集
③ 关联
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