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The MCP ecosystem keeps expanding, and with it, the security questions that follow. A developer called Vineet Pant has released Customhouse, an open source proxy designed to sit between AI agents and the outside world, deterministically blocking what the project calls agent exfiltration — the risk that an autonomous system quietly moves data somewhere it shouldn't. It's a small project right now, but the problem it addresses is very real and growing.
Staying with AI infrastructure, a researcher at Pisoni dot AI has published work on something called SSOG, a visual attention mechanism designed to run in near linear time. The key distinction here is that instead of scoring relationships between parts of an image — which gets expensive fast — it steers attention directly. If the efficiency claims hold up under scrutiny, this kind of approach could matter a great deal for running vision models at scale without enormous compute costs.
And on the naming question that won't go away, TechRadar asked several major AI chatbots to name themselves and found a striking number defaulted to Nova. It's a small detail, but it points to something larger — these systems are trained on similar data, shaped by similar design choices, and the convergence reveals just how much our AI assistants reflect each other rather than anything genuinely distinct.
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