Edge 450: Can LLM Sabotage Human Evaluations
Was this email forwarded to you? Sign up here Edge 450: Can LLM Sabotage Human EvaluationsNew research from Anthropic provides some interesting ideas in this area.
Controlling the behavior of foundation models has been at the forefront of research in the last few years in order to accelerate mainstream adoption. From a philosophical standpoint, the meta question is whether we can ultimately control intelligent entities that are way smarter than ourselves. Given that we are nowhere near that challenge, a more practical question is whether models show emerging behaviors that subvert human evaluations. This is the subject of a fascinating research by Anthropic. In a new paper, Anthropic proposes a framework for assessing the risk of AI models sabotaging human efforts to control and evaluate them. This framework, called “Sabotage Evaluations”, aims to provide a way to measure and mitigate the risk of misaligned models, which are models whose goals are not fully aligned with human intentions. Defining the Threat: Sabotage Capabilities...Subscribe to TheSequence to unlock the rest.Become a paying subscriber of TheSequence to get access to this post and other subscriber-only content. A subscription gets you:
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The Toughest Math Benchmark Ever Built
Sunday, November 17, 2024
Frontier Math approach math reasoning in LLMs from a different perspective. ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
📽 Webinar: How Convirza Scaled SLMs for Real-Time Call Analytics – Without Breaking the Bank
Friday, November 15, 2024
Companies that rely on analyzing high volumes of data face a core dilemma: how to deliver real-time insights without burning through budget or engineering resources. ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
The Sequence Chat: Small Specialists vs. Large Generalist Models and What if NVIDIA Becomes Sun Microsystems
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A controversial debate and a crazy thesis. ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
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