The company claims to predict performance two years out. They say Google can't match that foresight. We dissect the roadmap claims.

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Momentic’s system evaluates software continuously instead of in batches. The funding accelerates deployment. We break down why this is significant.

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AWS approved a $50 billion plan to scale compute resources for federal AI. The upgrade introduces automation layers for faster AI iteration. Agencies anticipate better reliability for mission-oriented models.

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With Opus 4.5, Anthropic is prioritizing memory retention as a core capability. The model is better suited for advanced, multi-step reasoning. We explore how it changes user expectations.

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Google is executing a massive AI compute expansion. We explore the technical challenges and strategic reasons. This episode provides full context for listeners.

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With states taking different approaches, Washington feels pressure to unify. We examine why this matters for businesses and consumers. It’s an evolving story.

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Gmail’s size and diversity have made it a powerhouse for AI learning. Messages and attachments contribute real-world examples. We break down the implications.

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TikTok's new AI Sensitivity Settings let users drastically reduce synthetic media exposure. It's built for clarity and comfort. Tech reviewers are praising the control options.

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