3553 位用户此时在线
24小时点击排行 Top 10:
- 本站自动实时分享网络热点
- 24小时实时更新
- 所有言论不代表本站态度
- 欢迎对信息踊跃评论评分
- 评分越高,信息越新,排列越靠前
1
$6.25 billion. 25 million children. $250 each.
2
1
1
$6.25 billion. 25 million children. $250 each.
Susan and I believe the smartest investment we can make is in children. That’s why we’re so excited to contribute $6.25 billion from our charitable funds to help 25 million children start building a strong financial foundation
时政
(
twitter.com)
00:01:03
3
2
1
1
4
2
1
1
5
2
1
1
6
2
1
1
7
2
1
1
8
2
1
1
9
5
4
4
10
2
1
1
11
Recent thoughts:
2
1
1
Recent thoughts:
The Shift to Long-Horizon Tasks
The most likely breakthrough this year will be in long-horizon tasks. We are moving toward a stage where Large Language Models (LLMs) learn to complete extended, complex missions by interacting with Agent environments. This is
时政
(
twitter.com)
•
jietang
12
2
1
1
13
3
2
2
14
Our warriors began Ukraine’s Constitution Day with great accuracy. Last night, our long-range sanctions reached two oil refineries in Russia. The Slavyansk oil refinery in the Krasnodar region was hit – about 300 kilometers from the frontline. We also reached a refinery in the
2
1
1
Our warriors began Ukraine’s Constitution Day with great accuracy. Last night, our long-range sanctions reached two oil refineries in Russia. The Slavyansk oil refinery in the Krasnodar region was hit – about 300 kilometers from the frontline. We also reached a refinery in the
时政
(
twitter.com)
00:00:18
15
2
1
1
16
2
1
1
17
2
1
1
18
2
1
1
19
Terence Tao: The math behind today’s LLMs is actually simple.
2
1
1
Terence Tao: The math behind today’s LLMs is actually simple.
Training and running them mostly uses linear algebra, matrix multiplication, and a bit of calculus, material an undergraduate can handle. We understand how to build and operate these models.
The real mystery is why
时政
(
twitter.com)
00:01:38
23
2
1
1
24
2
1
1
25
2
1
1