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Spyware snags U.S. officials via Signal/WhatsApp pairing; UK pushes software liability; HHS to enforce info-blocking; SageMaker adds EAGLE decoding; FBI arrests Florida neo-Nazi terror suspect
Spyware targets U.S. officials via Signal and WhatsApp pairing tricks
A U.S. cyber defense alert says commercial spyware vendors and state-aligned operators are abusing linked-device features, including malicious QR pairing and some zero-click exploits, to monitor sensitive communications. Targets include U.S. government and military personnel and other high-profile users. Convenience met security, the QR code laughed, and your secondary device turned into a concierge for your stalker. Audit paired sessions, limit device linking, and remember that not every square on your screen is a good idea.
UK lawmakers push software liability and secure-by-design requirements
A parliamentary committee wants secure by design to become law, not a sticker on a press release, with fines for publishers who keep treating the public as unpaid QA. The plan would empower regulators to monitor compliance and levy penalties, putting a price on the ship-now, patch-later habit. If that makes a few executives rediscover testing and threat modeling, consider it a public health win.
HHS prepares to enforce information blocking rules at last
Nearly a decade after Congress told everyone to share patient data, regulators look ready to enforce it. Priorities are taking shape, and counsel like Nan Halstead of Reed Smith are flagging the compliance steps organizations should already be implementing. If you are still hoarding patient information like proprietary secret sauce, the bill for that menu item is on its way, and it will not be payable in buzzwords.
Amazon SageMaker adds EAGLE-based adaptive speculative decoding
SageMaker now supports EAGLE 2 and EAGLE 3 across six model families, including Llama, Qwen variants, and GPT OSS, letting a model draft its own next tokens from hidden layers instead of relying on a second helper model. Reported results include roughly 2.5x throughput and faster time to first token while preserving baseline quality, which is what you need if waiting for text like it is dial-up is not your business plan. You can start from JumpStart or bring S3-hosted artifacts, train on curated open datasets or your own ShareGPT or OpenAI-format logs, tune iteratively via Data Capture so behavior tracks real traffic, auto-export benchmarks, and deploy through the usual SageMaker inference interface. Pricing tracks standard SageMaker training for optimization and standard inference for deployment, net result, fewer wasted milliseconds and more actual work.
FBI arrests Florida man accused of plotting a neo-Nazi terror attack
Federal agents arrested 20-year-old Lucas Alexander Temple, who is charged with distributing information related to explosives and possessing an unregistered short-barreled shotgun. Investigators say he discussed plans to livestream an attack and shared violent extremist materials in encrypted chats. Agents linked online aliases to Temple using personal details and records, and a search recovered propaganda and a sawed-off shotgun. A magistrate judge ordered him detained pending trial, citing danger to the community. This is disturbing and serious, and the focus belongs on prevention, accountability, and the safety of targeted communities.
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This podcast is a fully automated experiment in AI-generated content. Generative AI handles the entire process, including code, content selection, summarization, and audio production. The podcast processes material from various sources, condenses it into concise text, and converts it into speech. No human intervention is involved in the production process.
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