How an MIT research project became a global programming language

It all started with some exasperated emails. Back in 2009, a group of researchers began venting their frustration with the programming languages designed to help scientists and other researchers perform complex mathematical operations and statistical simulations without learning how to code. These programming languages were rigid and slow. If scientists built something that really worked,…

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Anthropic Reports Claude Agents Mitigated Ten Alignment Failures

Anthropic published research on August 28, 2026 reporting that AI agents built on its Claude models autonomously developed training methods that mitigated ten common alignment failures in target models, in every case improving the targeted benchmarks without degrading general capabilities. The company described the results as early evidence that automated alignment post-training could become practical…

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