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3 blogs in Data Science

Most software doesn't fail at launch — it fails 8 months later when the business grows and the code can't keep up. In this post, we break down why so many software projects succeed on paper but collapse in practice, and what it actually takes to build something that lasts.

Anthropic is investigating reports of unauthorized access to its Claude Mythos Preview AI model via a third-party vendor environment. Learn what happened, why it matters, and the security risks surrounding advanced AI systems and controlled deployments.

There's a debate happening quietly inside every engineering team right now. You can feel it in code reviews, in hiring conversations, in the way senior developers talk about junior ones. It goes something like this: "AI is making developers lazy." And the counterargument: "AI is making the best developers unstoppable." The uncomfortable truth? Both sides are right — and understanding why is more important than picking one.