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We Were Right! Real Inner Misalignment
AI Alignment Explained: The Real Safety Problem
Uncovering mesa-optimization algorithms in Transformers
AI Alignment Explained in 100 seconds
Introduction to the Alignment Problem in ML and AI | Mikhail Samin | CEO at AudD.io
AI Alignment: Encoding Human Values into Machines
The Groundhog Day Conspiracy: Ai Alignment Problem
2:Risks from Learned Optimization: Evan Hubinger 2023
AI Safety Blueprint
The Real Challenge of AI Isn't Building It. It's Learning to Live With It
Evan Hubinger | Risks from Learned Optimization | UCL AI Society
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Last Updated: September 25, 2026
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Summary
What if the AI you train secretly develops its own goals? This is a deep, beginner-friendly explainer of the landmark AI safety paper ... This video shares this research paper which is trying to find out reason behind superior performance of LLMs. It mentions ... Researchers ran real versions of the thought experiments in the ' AI systems are getting more capable every month — but capability is not the same as safety. This video breaks down AI The paper proposes that the superior performance of Transformers in deep learning is due to an architectural bias towards ... When you train an RL model, you have to specify an objective. But can gradient descent find optimizers for something different ... The moment an artificial general intelligence surpasses human cognitive capacity, its objective function dictates global outcomes. Part 2 of a series of talks from researcher Evan Hubinger. The Paper, "Risks from Learned The SORT-AI framework presents a rigorous mathematical approach to AI safety by analyzing the structural geometry of deep ... After years studying the scientists and engineers leading the development of artificial intelligence, I arrived at an unexpected ... Evan Hubinger, an AI Safety Research Fellow at MIRI, talks about the Risks from Learned
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