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A quiet but serious vulnerability is drawing attention from engineers who maintain older hardware. The Silicon Labs incident highlights a growing problem: legacy devices often depend on sensors and components that are no longer actively supported, leaving entire product lines exposed when a single supplier stumbles. It's a supply chain story that rarely makes headlines until something breaks.
Shifting to artificial intelligence, a new video circulating in academic circles suggests college students are pushing back against AI tools in their coursework, raising questions about whether the tech industry has misjudged its audience. Young people who grew up online appear more skeptical than expected about outsourcing thinking to machines, and that friction may reshape how EdTech companies pitch their products.
And on the model performance front, Google's Gemma four is turning heads with multi-token prediction technology that pairs speculative decoding with parallel token generation. The result, according to early testing, is inference speeds up to roughly three times faster than standard generation, with no meaningful loss in output quality. For developers running inference at scale, that number matters.
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