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

WordPress大学
WordPress大学
博客园 - 司徒正美
小众软件
小众软件
H
Help Net Security
博客园 - 聂微东
宝玉的分享
宝玉的分享
Jina AI
Jina AI
酷 壳 – CoolShell
酷 壳 – CoolShell
阮一峰的网络日志
阮一峰的网络日志
M
MIT News - Artificial intelligence
博客园 - 【当耐特】
U
Unit 42
大猫的无限游戏
大猫的无限游戏
Apple Machine Learning Research
Apple Machine Learning Research
S
SegmentFault 最新的问题
腾讯CDC
MongoDB | Blog
MongoDB | Blog
云风的 BLOG
云风的 BLOG
J
Java Code Geeks
I
InfoQ
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
Martin Fowler
Martin Fowler
博客园 - 三生石上(FineUI控件)
Vercel News
Vercel News

Goodfire Research

Models know when they’re reward hacking — and we can catch them at scale - Goodfire Steering Along Manifolds to Control Neural Networks Uncovering Neural Geometry in Vision Models With Block-Sparse Featurizers Uncovering Neural Geometry in Vision Models With Block-Sparse Featurizers Meandering on Manifolds: The Neural Geometry of Stories Over Time The Neural Geometry Series Can SAEs Capture Neural Geometry? A Geometric Calculator Inside a Neural Network Meandering on Manifolds: The Neural Geometry of Stories Over Time Interpreting Language Model Parameters Predictive Data Debugging: Reveal and Shape What Your Model Learns, Before You Train Why Larger Models Learn More: Effects of Capacity, Interference, and Rare-Task Retention Predictive Data Debugging: Reveal and Shape What Your Model Learns, Before You Train Logits as a new monitor for evaluation awareness Predicting Rare LLM Failures with 30× Fewer Rollouts Logits as a new monitor for evaluation awareness Predicting Rare LLM Failures with 30× Fewer Rollouts The Shape of Stories Inside Neural Networks Why Larger Models Learn More: Effects of Capacity, Interference, and Rare-Task Retention Can SAEs Capture Neural Geometry? Steering Along Manifolds to Control Neural Networks A Geometric Calculator Inside a Neural Network The Neural Geometry Series The World Inside Neural Networks The World Inside Neural Networks Verbalized Eval Awareness Inflates Measured Safety Verbalized Eval Awareness Inflates Measured Safety Paper Summary: Interpreting Language Model Parameters Paper Summary: Interpreting Language Model Parameters Interpreting Language Model Parameters
Forking Fast: Efficiently Estimating Uncertainty Dynamics...
Eric Bigelow, · 2026-08-28 · via Goodfire Research

Research

Uncovering Neural Geometry in Vision Models With Block-Sparse Featurizers

July 7, 2026

Meandering on Manifolds: The Neural Geometry of Stories Over Time

June 23, 2026

Predictive Data Debugging: Reveal and Shape What Your Model Learns, Before You Train

June 11, 2026

The platform for intentional model design

Silico lets you build AI models with the precision of written software. See what models have learned, find undesired behavior, and make targeted interventions to improve performance.

Silico works across all types of AI models