AI giant Anthropic signs safety pact with Australia - The Canberra Times
<a href="https://news.google.com/rss/articles/CBMioAFBVV95cUxPc0RicE52aW8xdVAtTS0zenVhX2pJSHphVkM3MGkyanNtZVpOdF8yZDVzYWNwT29qYlN3QTJVSlJjMmNjeGFsWm12Uk5FS0FtTjVrSjhSeXVSRkx4SmEwQXlBQS1fVmEtYzFvUVlOalpJcUdDU01pSV9CRW40UUNfSl8xczZ5dVNrdW0ySkIwQUpKck9ZVHduanpuWDZnelM3?oc=5" target="_blank">AI giant Anthropic signs safety pact with Australia</a> <font color="#6f6f6f">The Canberra Times</font>
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Predicting When RL Training Breaks Chain-of-Thought Monitorability
Crossposted from the DeepMind Safety Research Medium Blog . Read our full paper about this topic by Max Kaufmann, David Lindner, Roland S. Zimmermann, and Rohin Shah. Overseeing AI agents by reading their intermediate reasoning “scratchpad” is a promising tool for AI safety. This approach, known as Chain-of-Thought (CoT) monitoring, allows us to check what a model is thinking before it acts, often helping us catch concerning behaviors like reward hacking and scheming . However, CoT monitoring can fail if a model’s chain-of-thought is not a good representation of the reasoning process we want to monitor. For example, training LLMs with reinforcement learning (RL) to avoid outputting problematic reasoning can result in a model learning to hide such reasoning without actually removing problem
Predicting When RL Training Breaks Chain-of-Thought Monitorability
Crossposted from the DeepMind Safety Research Medium Blog . Read our full paper about this topic by Max Kaufmann, David Lindner, Roland S. Zimmermann, and Rohin Shah. Overseeing AI agents by reading their intermediate reasoning “scratchpad” is a promising tool for AI safety. This approach, known as Chain-of-Thought (CoT) monitoring, allows us to check what a model is thinking before it acts, often helping us catch concerning behaviors like reward hacking and scheming . However, CoT monitoring can fail if a model’s chain-of-thought is not a good representation of the reasoning process we want to monitor. For example, training LLMs with reinforcement learning (RL) to avoid outputting problematic reasoning can result in a model learning to hide such reasoning without actually removing problem
Smart food safety: implementing AI for risk, compliance and control - New Food magazine
<a href="https://news.google.com/rss/articles/CBMivwFBVV95cUxNLTl5bzY1YTcyNThZLVowbG9Bb3haS1lOM3lpbmRxZktqR25kcEg3WjJDMDd1UFRDdnpNUHJPekt1amxuRXp3ZHBleFVPbS1HSEhVQl9YODJtOENYSVltbW52YW8xSFBlRHdENFRXekhqMTd0RFNsSFBITWhKcDdCcVp1TWxMSFVjYWhjU25VNlJVT09sWWVwbzRPZGZWT3pQNjU1RTcwMWlJd1RYQUZPWGNXeWRadGtISThCbVBnUQ?oc=5" target="_blank">Smart food safety: implementing AI for risk, compliance and control</a> <font color="#6f6f6f">New Food magazine</font>
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LIMBO: Who We Are, What We Do, and an Exciting High-Impact Funding Opportunity
We are excited to publicly introduce the Laboratory for Importance-sampled Measure and Bayesian Observation (LIMBO), a small research group working at the intersection of cosmological theory, probability, and existential risk. We believe that the mechanisms by which observers continue to exist in the universe are important, neglected, and tractable to study and influence. Since our founding in October 2024, we have developed a mathematical framework for doing anthropic reasoning about rare-event estimation, and we have obtained significant empirical evidence which validates this framework. This empirical evidence was not cherry-picked: at LIMBO, we believe in putting our money where our mouth is, and we have a strong track record of success in financial and prediction markets downstream of
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Advocacy groups urge YouTube to protect kids from 'AI slop' videos - Union-Bulletin
<a href="https://news.google.com/rss/articles/CBMi8AFBVV95cUxNQl9fYWcyaGJRSjhXRTduT3Yzc2JlUkRMWmZlbzViWTZaZ2lNNVI4QVBSNUdsa1lCWmFwZHdFTzA1U21ac0tQbDdyOWlzRFVPMFBubkxQVnNfdjJ1TEIwQUM3b3BRV0dOTzctU0Q3Tkk1R21SMXF1UXpxVTVDY0tyMGM3NEtva0otNF9vMmRXMXNKUk5WRFNRbXBkcndjd21jSUtmUE5Dd1RPRHQxR1J6aHFoYjQtVWZiY2pyTVJacW5scHEzY2hDd1ltUHEwZkRzNWtPUkxHSTE1UmUwcHA2OVFMeXBMbzVXQlA5TS10XzY?oc=5" target="_blank">Advocacy groups urge YouTube to protect kids from 'AI slop' videos</a> <font color="#6f6f6f">Union-Bulletin</font>
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