An anonymous reader quotes a report from Linuxiac: Mozilla has released Firefox 152, the latest update to its popular open-source web browser, with updated settings, improved media controls, experimental JPEG XL support, and various platform-specific fixes for desktop and Android. A key update is the redesigned Firefox Settings page, which now features clearer groupings, improved navigation, and a more streamlined structure for easier customization. The release also expands built-in spellchecker support, adding dictionaries for Croatian, English (UK), Georgian, Persian, Slovenian, Tajik, Tamil, Tibetan, Turkish, Welsh, and Xhosa. [...] Importantly, Firefox now offers experimental support for JPEG XL, an image format with improved compression over WebP, JPEG, PNG, and GIF. Users can enable JPEG XL in the Firefox Labs panel within Settings.

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Esqueça os bloqueadores de sites chatos e as notificações que ignora ao fim de dois dias. O Cat Gatekeeper tem uma abordagem diferente, e muito mais fofa, para o doomscrolling. Trata-se de um gato laranja “gorducho” que invade o ecrã e não sai de lá até a pausa acabar.

The post Cat Gatekeeper: a extensão que manda um gato “gorducho” invadir o seu ecrã quando passa tempo a mais nas redes sociais appeared first on Tek Notícias.

The disbelief was palpable when Mozilla’s CTO last month declared that AI-assisted vulnerability detection meant “zero-days are numbered” and “defenders finally have a chance to win, decisively.” After all, it looked like part of an all-too-familiar pattern: Cherry-pick a handful of impressive AI-achieved results, leave out any of the fine print that might paint a more nuanced picture, and let the hype train roll on.

Mindful of the skepticism, Mozilla on Thursday provided a behind-the-scenes look into its use of Anthropic Mythos—an AI model for identifying software vulnerabilities—to ferret out 271 Firefox security flaws over two months. In a post, Mozilla engineers said the finally ready-for-prime-time breakthrough they achieved was primarily the result of two things: (1) improvement in the models themselves and (2) Mozilla’s development of a custom “harness” that supported Mythos as it analyzed Firefox source code.

"Almost no false positives"

The engineers said their earlier brushes with AI-assisted vulnerability detection were fraught with “unwanted slop.” Typically, someone would prompt a model to analyze a block of code. The model would then produce plausible-reading bug reports, and often at unprecedented scales. Invariably, however, when human developers further investigated, they’d find a large percentage of the details had been hallucinated. The humans would then need to invest significant work handling the vulnerability reports the old-fashioned way.

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