Apple's next major iPhone software update will prioritize stability and performance over flashy new features, according to Bloomberg's Mark Gurman, who reports that iOS 27 is being developed as a "Snow Leopard-style" release [non-paywalled source] focused on fixing bugs, removing bloat and improving underlying code after this year's sweeping Liquid Glass design overhaul in iOS 26.
Engineering teams are currently combing through Apple's operating systems to eliminate unnecessary code and address quality issues that users have reported since iOS 26's September release. Those complaints include device overheating, unexplained battery drain, user interface glitches, keyboard failures, cellular connectivity problems, app crashes, and sluggish animations.
iOS 27 won't be feature-free. Apple plans several AI additions: a health-focused AI agent tied to a Health+ subscription, expanded AI-powered web search meant to compete with ChatGPT and Perplexity, and deeper AI integration across apps. The company has also been internally testing a chatbot app called Veritas as a proving ground for its re-architected Siri, though a standalone chatbot product isn't currently planned.
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Security updates have been issued by Fedora (calibre, chromium, cri-o1.32, cri-o1.33, cri-o1.34, dotnet10.0, dovecot, gnutls, gopass, gopass-hibp, gopass-jsonapi, kubernetes1.31, kubernetes1.32, kubernetes1.33, kubernetes1.34, and linux-firmware), Mageia (ffmpeg, kernel, kmod-xtables-addons & kmod-virtualbox, kernel-linus, konsole, and redis), Red Hat (bind and bind-dyndb-ldap and kernel), SUSE (act, alloy, amazon-ssm-agent, ansible-12, ansible-core, blender, chromium, cups-filters, curl, elfutils, expat, firefox, glib2, grub2, helm, kernel, libipa_hbac-devel, libxslt, nvidia-container-toolkit, ongres-scram, openexr, podman, poppler, runc, samba, sssd, thunderbird, and tomcat), and Ubuntu (cups-filters, linux, linux-aws, linux-gcp, linux-hwe-6.14, linux-oracle, linux-realtime, linux-oem-6.14, and linux-realtime-6.14).
An anonymous reader shares a report: With the release of its third version last week, Google's Gemini large language model surged past ChatGPT and other competitors to become the most capable AI chatbot, as determined by consensus industry-benchmark tests. [...] Aaron Levie, chief executive of the cloud content management company Box, got early access to Gemini 3 several days ahead of the launch. The company ran its own evaluations of the model over the weekend to see how well it could analyze large sets of complex documents. "At first we kind of had to squint and be like, 'OK, did we do something wrong in our eval?' because the jump was so big," he said. "But every time we tested it, it came out double-digit points ahead."
[...] Google has been scrambling to get an edge in the AI race since the launch of ChatGPT three years ago, which stoked fears among investors that the company's iconic search engine would lose significant traffic to chatbots. The company struggled for months to get traction. Chief Executive Sundar Pichai and other executives have since worked to overhaul the company's AI development strategy by breaking down internal silos, streamlining leadership and consolidating work on its models, employees say. Sergey Brin, one of Google's co-founders, resumed a day-to-day role at the company helping to oversee its AI-development efforts.
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In 2018 researchers claimed evidence of a lake beneath the surface of Mars, detected by the Mars Advanced Radar for Subsurface and Ionosphere Sounding instrument (or Marsis for short).
But new Mars observations "are not consistent with the presence of liquid water in this location and an alternative explanation, such as very smooth basal materials, is needed." Phys.org explains
Aboard the Mars Reconnaissance Orbiter, the Shallow Radar (SHARAD) uses higher frequencies than MARSIS. Until recently, though, SHARAD's signals couldn't reach deep enough into Mars to bounce off the base layer of the ice where the potential water lies — meaning its results couldn't be compared with those from MARSIS. However, the Mars Reconnaissance Orbiter team recently tested a new maneuver that rolls the spacecraft on its flight axis by 120 degrees — whereas it previously could roll only up to 28 degrees. The new maneuver, termed a "very large roll," or VLR, can increase SHARAD's signal strength and penetration depth, allowing researchers to examine the base of the ice in the enigmatic high-reflectivity zone. Gareth Morgan and colleagues, for their article published in Geophysical Research Letters, examined 91 SHARAD observations that crossed the high-reflectivity zone.
Only when using the VLR maneuver was a SHARAD basal echo detected at the site. In contrast to the MARSIS detection, the SHARAD detection was very weak, meaning it is unlikely that liquid water is present in the high-reflectivity zone.
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