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deneille

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8mo

SafeRLHub: An Interactive Resource for RL Safety and Interpretability

Why are AI models getting better at reasoning, and why is that a problem? In recent months, reasoning models have become the focus of most leading AI labs due to the significant improvements in solving logic-requiring problems through Chain of Thought (CoT) reasoning and reinforcement learning (RL) training. Training these...

Jun 11, 2025•11

deneille

8mo

deneille — LessWrong

deneille

Message

8mo

SafeRLHub: An Interactive Resource for RL Safety and Interpretability

Jun 11, 2025•11

deneille

8mo

SafeRLHub: An Interactive Resource for RL Safety and Interpretability

Siya

Siya, deneille+ 0 more

Siya, deneille

8mo

Why are AI models getting better at reasoning, and why is that a problem?

In recent months, reasoning models have become the focus of most leading AI labs due to the significant improvements in solving logic-requiring problems through Chain of Thought (CoT) reasoning and reinforcement learning (RL) training. Training these reasoning models involves additional processes typical for standard large learning models (LLMs), and that is why they also require different methods of interpretability, such as neural verification and learning from verifiable rewards. Additionally, producing exemplar chain of thought outputs can become insurmountable for humans to produce, that is why we are seeing SoTA models like DeepSeek RL Zero forgo any supervised training and... (read 2006 more words →)