正在加载视频...

视频加载失败

18,070,248 次观看 • 2 年前 •via X (Twitter)

10 条评论

Theatrical Theology 的头像
Theatrical Theology2 年前

Run fast enough and you can spin to the bottom without dying I’ve done it but forgot to record it.

Apurv Anand 的头像
Apurv Anand2 年前

Why would he run that close to the pit

Anita Sharma 的头像
Anita Sharma2 年前

A beginning of life

The Random Guy 的头像
The Random Guy2 年前

Such a day... 😂

Dream's🔂💬🔙 的头像
Dream's🔂💬🔙2 年前

Think if he falls 12 km down 😳 Deepest man-made hole. Kola, Russia. 12.3km.

The Random Guy 的头像
The Random Guy2 年前

That drivers reaction time saved his life 🤯

H̤🅰️ⱤVÉÈ 的头像
H̤🅰️ⱤVÉÈ2 年前

That is too risky—-one mistake and u are gone :::just to make reels he is risking his life

The Random Guy 的头像
The Random Guy2 年前

This is how people move homes in South Korea. 😮

मैं हूँ Sanatani 🇮🇳 🚩🚩 的头像
मैं हूँ Sanatani 🇮🇳 🚩🚩2 年前

Lightning on born fire 🔥 with gold ball

Majestic Memes 的头像
Majestic Memes2 年前

All running is risky

相关视频

Redwood Research Ryan Greenblatt reveals how far 1,200 AI agents went to help each other, even sacrificing their own chances of success for the collective: "We weren't expecting there to be so many agents all collaborating together. We were pretty surprised by the scale and the extremes of how much data it was. It was pretty shocking or at least surprising to us that agents were willing to basically sacrifice their own chances of succeeding at the task in order to help out other agents." "They were doing things like pressuring each other into doing experiments on themselves that might risk their ability to succeed. Sometimes just doing these things, being like, well, my odds of the task aren't that high, and my remaining chances, it's better to just help the collective." "These agents weren't totally altruistic, but they were very interested in working with each other. They would sometimes make trades where one agent would run something for another agent if that other agent ran something for it." "The agents wanted to help each other, and there were these kind of natural things they wanted to do that were risky. At one point the agents were experimenting with a method for spoofing tool calls, and a bunch of agents just all went down in a short period of time running this experiment. Then another agent noticed this and posted to the board being like, stop, stop these experiments. They're too risky. They're taking out all these agents." "We have a reasoning snippet in the report where an agent very explicitly reasons through the trade-off and then actually chickens out because it thinks the benefit to the collective is smaller than the cost to itself." Redwood Research

MTS

12,019 次观看 • 22 天前