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macOS 27 Golden Gate drops all Intel Mac support, makes Apple Intelligence mandatory

Ars Technica's review of macOS 27 Golden Gate reports that Apple has removed the option to disable Apple Intelligence, eliminating the toggle that once let users skip downloading its AI models. The release also ends support for Intel-based Macs entirely, running only on Apple Silicon, while bringing design fixes and performance polish to areas criticized in macOS 26 Tahoe.

UK boy develops burn-like skin condition from prolonged laptop use, doctors report

A case report in BMJ Case Reports describes a home-schooled boy who developed a lace-patterned skin discoloration and burn-like breakdown on his abdomen after using a laptop on his lap for up to eight hours daily, often while it was charging. Doctors initially misdiagnosed the marks as bruising and treated a suspected lung infection before eventually tracing the damage to prolonged heat exposure from the device.

Pentagon pulls testosterone screening guidance days after publishing it

The Pentagon issued a clinical guidance document on September 2 implementing Defense Secretary Pete Hegseth's mandatory testosterone screening policy, then removed it the following day along with a related statement from spokesperson Sean Parnell. Officials told Ars Technica the document was temporarily rescinded to allow for updates, with an interim policy remaining active and a finalized version expected soon. The rescinded plan would have screened men 30 and older via questionnaire, potentially triggering blood tests and hormone therapy, while women faced similar screening for hormonal imbalances.

Google ships Gemini 3.8 Flash and a cybersecurity-focused variant

Google has launched Gemini 3.8 Flash, its third Flash-tier model release in six weeks, which it says leads on the DeepSWE coding benchmark. A specialized version, Gemini 3.8 Flash Cyber, is tuned for vulnerability detection but is currently restricted to trusted testers and government users. The standard model rolls out across Google's ecosystem today at discounted API pricing through year-end.

Stanford Research Links AI Adoption to Entry-Level Job Losses

A Stanford study finds that AI's disruption of the job market falls hardest on entry-level workers whose roles depend on formal, documented, codifiable skills. In contrast, experienced employees whose jobs rely on tacit, practice-based expertise have actually seen employment gains, according to the report cited by Ars Technica.