Неудачный опыт вербовки оценили в российском суде в 14-летнее заключение

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The finding, which has not been peer reviewed, comes from researchers at ETH Zurich, Anthropic, and the Machine Learning Alignment and Theory Scholars program. They built an automated system of AI agents using unspecified models - capable of searching the web and interacting with information much like …

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When you do scale-out, putting more eggs in a basket creates a conflict between the cost of consolidation vs the cost of administering more instances. Finding that sweet spot won't be easy and you may need to maintain that across several generations outside a physical server, since complete slash-and burn or green-field deployments aren't normal beyond the 1st build-out.

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