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Meta has confirmed it will use content from Newsmax to train its artificial intelligence models, raising fresh questions about what values get baked into large language systems. Critics argue that feeding AI on ideologically skewed sources doesn't just reflect bias — it encodes it, at scale, into tools used by billions.
That conversation connects neatly to new research out of arxiv examining how the phrasing of a question — specifically its gender associations — can shift the responses large language models produce. The study suggests these systems don't just reflect language patterns, they amplify them, which matters enormously as AI moves deeper into hiring, healthcare, and legal decisions.
Meanwhile, the US Space Force has awarded Rocket Lab nearly four hundred million dollars to develop what the agency is calling Flatellites — low-profile, flat-form satellites designed to track potential threats in orbit. It's a significant contract for a company that has positioned itself as a leaner alternative to the bigger launch players, and a signal that space is increasingly understood as a contested military domain.
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