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A SiriusXM Update Sent Some Audi Screens Into a Forced-Reboot Loop For Months

3 months 3 weeks ago
An anonymous reader quotes a report from The Drive: This week, a reader wrote to us sharing that the infotainment in their 2020 Audi A4 had been "rebooting every five minutes all year." It looks like the problem was caused by a compatibility issue with a SiriusXM app update. Audi tells us the situation's been rectified, but it illustrates a serious pain point in modern cars -- myriad apps interacting with a diverse population of in-car software systems. Our reader was not the only Audi owner affected. "Randomly restarting" Audi infotainment screens have been discussed on Reddit, the Audiworld forum, and elsewhere, going back many months. Audi's recall notice and related service action only went out this summer. It looks like this particular problem was caused when the satellite radio app pushed an update that was supposed to work on the latest version of Audi's infotainment software, but not all cars were running that. Then SiriusXM reverted, which, I guess, did not solve the problem for every owner. Audi now states that the problem has been fixed and originated with the SiriusXM app, but really, the automaker bears more than a little blame, too. [...] I dropped our own contacts at Audi a note about how and why this might have happened, and they added this clarification: "At the beginning of the year, SiriusXM did a programming update which was addressed via a software update to the MMI. However, as not all customers had their cars updated and SiriusXM then reverted back to the previous category numbering. Nonetheless, a MMI update is recommended as the two versions do seem to cause the issue."

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Meta Lays Off 600 From 'Bloated' AI Unit

3 months 3 weeks ago
Meta is laying off about 600 employees from its AI division as part of a restructuring to streamline operations and solidify Alexandr Wang's leadership over the company's AI strategy. "Workers across Meta's AI infrastructure units, Fundamental Artificial Intelligence Research unit (FAIR) and other product-related positions will be impacted," notes CNBC. "However, the cuts did not impact employees within TBD Labs, which includes many of the top-tier AI hires brought into the social media company this summer." From the report: Those employees, overseen by Wang, were spared by the layoffs, underscoring Meta CEO Mark Zuckerberg's bet on his expensive hires versus the legacy employees, the people said. Within Meta, the AI unit was considered to be bloated, with teams like FAIR and more product-oriented groups often vying for computing resources, the people said. When the company's new hires joined the company to create Superintelligence Labs, it inherited the oversized Meta AI unit, they said. The layoffs are an attempt by Meta to continue trim the department and further cement Wang's role in steering the company's AI strategy. Following the cuts, Meta's Superintelligence Labs' workforce now sits at just under 3,000, the people said.

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Pitchfork Is Beta Testing User Reviews and Comments As It Approaches 30

3 months 3 weeks ago
As it nears its 30th anniversary, Pitchfork is testing user reviews and comments in a major shift from its long-standing critic-only model. The site will now let readers rate albums and leave comments, combining those into an aggregated "reader score" alongside the official Pitchfork score. The Verge reports: Pitchfork has historically been a one-sided affair. While it ran the occasional reader poll, there was no way for readers to directly voice their opinion on the site. If you thought that Jet's Shine On deserved better than a 0.0 (first off, you're wrong), there was no way to let the author know other than shouting into the void of this new thing at the time called Twitter. Now the site is considering letting users comment directly on reviews and give albums scores of their own. And then those scores will be averaged up into a single reader score for each album.

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Google Porting All Internal Workloads To Arm

3 months 3 weeks ago
Google is migrating all its internal workloads to run on both x86 and its custom Axion Arm chips, with major services like YouTube, Gmail, and BigQuery already running on both architectures. The Register reports: The search and ads giant documented its move in a preprint paper published last week, titled "Instruction Set Migration at Warehouse Scale," and in a Wednesday post that reveals YouTube, Gmail, and BigQuery already run on both x86 and its Axion Arm CPUs -- as do around 30,000 more applications. Both documents explain Google's migration process, which engineering fellow Parthasarathy Ranganathan and developer relations engineer Wolff Dobson said started with an assumption "that we would be spending time on architectural differences such as floating point drift, concurrency, intrinsics such as platform-specific operators, and performance." [...] The post and paper detail work on 30,000 applications, a collection of code sufficiently large that Google pressed its existing automation tools into service -- and then built a new AI tool called "CogniPort" to do things its other tools could not. [...] Google found the agent succeeded about 30 percent of the time under certain conditions, and did best on test fixes, platform-specific conditionals, and data representation fixes. That's not an enormous success rate, but Google has at least another 70,000 packages to port. The company's aim is to finish the job so its famed Borg cluster manager -- the basis of Kubernetes -- can allocate internal workloads in ways that efficiently utilize Arm servers. Doing so will likely save money, because Google claims its Axion-powered machines deliver up to 65 percent better price-performance than x86 instances, and can be 60 percent more energy-efficient. Those numbers, and the scale of Google's code migration project, suggest the web giant will need fewer x86 processors in years to come.

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AI Assistants Misrepresent News Content 45% of the Time

3 months 3 weeks ago
An anonymous reader quotes a report from the BBC: New research coordinated by the European Broadcasting Union (EBU) and led by the BBC has found that AI assistants -- already a daily information gateway for millions of people -- routinely misrepresent news content no matter which language, territory, or AI platform is tested. The intensive international study of unprecedented scope and scale was launched at the EBU News Assembly, in Naples. Involving 22 public service media (PSM) organizations in 18 countries working in 14 languages, it identified multiple systemic issues across four leading AI tools. Professional journalists from participating PSM evaluated more than 3,000 responses from ChatGPT, Copilot, Gemini, and Perplexity against key criteria, including accuracy, sourcing, distinguishing opinion from fact, and providing context. Key findings: - 45% of all AI answers had at least one significant issue. - 31% of responses showed serious sourcing problems - missing, misleading, or incorrect attributions. - 20% contained major accuracy issues, including hallucinated details and outdated information. - Gemini performed worst with significant issues in 76% of responses, more than double the other assistants, largely due to its poor sourcing performance. - Comparison between the BBC's results earlier this year and this study show some improvements but still high levels of errors. The team has released a News Integrity in AI Assistants Toolkit to help develop solutions to these problems and boost users' media literacy. They're also urging regulators to enforce laws on information integrity and continue independent monitoring of AI assistants.

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