惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Engineering at Meta
Engineering at Meta
AI
AI
大猫的无限游戏
大猫的无限游戏
V
V2EX
酷 壳 – CoolShell
酷 壳 – CoolShell
罗磊的独立博客
Jina AI
Jina AI
WordPress大学
WordPress大学
博客园 - 司徒正美
V
Visual Studio Blog
S
SegmentFault 最新的问题
小众软件
小众软件
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
博客园 - Franky
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
博客园 - 三生石上(FineUI控件)
雷峰网
雷峰网
Apple Machine Learning Research
Apple Machine Learning Research
宝玉的分享
宝玉的分享
IT之家
IT之家
月光博客
月光博客
T
Tailwind CSS Blog
T
The Blog of Author Tim Ferriss
腾讯CDC
博客园 - 【当耐特】
The GitHub Blog
The GitHub Blog
量子位
B
Blog RSS Feed
D
Docker
美团技术团队
D
DataBreaches.Net
P
Proofpoint News Feed
The Cloudflare Blog
爱范儿
爱范儿
aimingoo的专栏
aimingoo的专栏
C
Check Point Blog
博客园 - 聂微东
U
Unit 42
GbyAI
GbyAI
Google DeepMind News
Google DeepMind News
J
Java Code Geeks
L
LangChain Blog
F
Full Disclosure
阮一峰的网络日志
阮一峰的网络日志
MyScale Blog
MyScale Blog
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
The Register - Security
The Register - Security
B
Blog
Stack Overflow Blog
Stack Overflow Blog

Writing - Toby Ord

Broad Timelines — Toby Ord Hazard Rates for AI Agents Decline as a Task Goes On — Toby Ord Are the Costs of AI Agents Also Rising Exponentially? — Toby Ord How Well Does RL Scale? — Toby Ord Evidence that Recent AI Gains are Mostly from Inference-Scaling — Toby Ord Is there a Half-Life for the Success Rates of AI Agents? — Toby Ord Inference Scaling Reshapes AI Governance — Toby Ord Inference Scaling and the Log-x Chart — Toby Ord The Scaling Paradox — Toby Ord The Precipice Revisited — Toby Ord On the Value of Advancing Progress — Toby Ord Robust Longterm Comparisons — Toby Ord The timing of labour aimed at reducing existential risk — Toby Ord A Child's Plaything — Toby Ord Remembering Peter Eckersley — Toby Ord Casting the Decisive Vote — Toby Ord
The Extreme Inefficiency of RL for Frontier Models — Toby Ord
September 19, 2025Toby Ord · 2025-09-19 · via Writing - Toby Ord
The new scaling paradigm for AI reduces the amount of information a model could learn per hour of training by…