Anthropic Claude AI source code leak: ‘Human error’ sparks security concerns - The News International
<a href="https://news.google.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?oc=5" target="_blank">Anthropic Claude AI source code leak: ‘Human error’ sparks security concerns</a> <font color="#6f6f6f">The News International</font>
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Anthropic is racing to contain the fallout after accidentally leaking Claude Code source code, issuing copyright takedown requests to remove 8,000+ copies (Sam Schechner/Wall Street Journal)
Sam Schechner / Wall Street Journal : Anthropic is racing to contain the fallout after accidentally leaking Claude Code source code, issuing copyright takedown requests to remove 8,000+ copies — Developer issues copyright takedown request in bid to prevent competitors from cloning coding tool's features
I tested ChatGPT vs. Claude to see which is better - and if it's worth switching - ZDNET
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Anthropic Claude source code leak explained: Techie reveals how a 4 am update exposed 512,000 lines of cod - The Economic Times
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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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