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A startup called Smallest dot ai has raised thirteen million dollars to build voice models so convincingly human that AI phone calls could pass the Turing test. That's a significant bet on a narrow but consequential capability — the moment a caller can't tell whether they're speaking to a person or a machine, the rules of trust change entirely.
On the security front, a former GCHQ intelligence expert is warning that C-suite executives can no longer afford to stay in the dark about AI-driven threats. New frontier models are already being used to hunt software vulnerabilities and map how they can be chained together to cause real damage. The message is clear — resilience isn't a one-time investment, it's a moving target.
And Dropbox is taking an interesting approach to closing the gap between security design and actual code review, integrating something called the Model Context Protocol with its internal knowledge platform. The idea is to surface threat models and security requirements right when engineers are reviewing pull requests — putting the right context in front of the right people at the right moment.
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