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Google DeepMind and the Singapore government have unveiled a new AI tool designed to protect citizens from conversational scams. Built on lightweight Gemma models running directly on-device, the system intercepts suspicious exchanges in private chats without sending any data to the cloud, a meaningful distinction in an era of growing privacy concerns.
Shifting to a story about how quickly misinformation spreads, a viral claim that Ukrainian drone strikes had taken out a Russian bot farm turned out to be false, yet millions were ready to believe it. The episode, detailed by Mother Jones, is a sharp reminder of how geopolitical tension creates fertile ground for unverified stories to travel faster than the truth.
And on the efficiency front, early benchmark results from a project called Squeeze suggest a technique that reduces input token counts by sixty-five percent on average. That may sound technical, but fewer tokens means lower costs and faster responses, and if the numbers hold up under scrutiny, it could matter quite a bit to anyone building or paying for AI applications.
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