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Ford VP Alan Clarke explained that after evaluating Apple, Google, and other mapping providers, the company chose Apple Maps for native integration in its upcoming Universal Electric Vehicle Platform, including the Fathom model. He cited Apple's flexibility, improved map quality, and close collaboration on EV-specific needs like range estimation and battery preconditioning as deciding factors.
Apple has begun labeling Lake Ontario as 'Lake America' on Apple Maps for users in the United States, following a Trump executive order that already led Google to make a similar change. The lake retains its original name in Canada and shows both names elsewhere, with the rollout still inconsistent between Apple's desktop and mobile versions.
Apple has updated Apple Maps to display Lake Ontario as 'Lake America' for users located in the United States, following an executive order Trump signed on August 27. Canadian users will still see 'Lake Ontario,' while people outside both countries will see both names listed. Google made the same change last week, citing its policy of following official U.S. government naming databases.
Meta unveiled Muse Voice Transcribe, its first real-time audio perception model, capable of transcribing over 20 speakers simultaneously while switching between more than 20 validated languages, including mid-sentence code-switching. CEO Mark Zuckerberg demoed the tool on X, noting it uses adaptive delay to balance speed and accuracy. The model is now available through Meta's Mac AI app, Muse Code, and its Model API at $3 per 1,000 audio minutes.
Google has begun rolling out a Battery Usage Summary feature to Pixel 10 and later devices, which flags unusual battery drain and points to the apps consuming the most power. The summaries appear at the top of the Battery usage page and are generated on-device using Gemini Nano, requiring the latest AI Core update to function.
Apple has updated its Maps app to display Lake Ontario as 'Lake America' for users in the United States, following a renaming order from President Trump. The change mirrors a similar update Google made earlier to its own mapping service.
Internal testing of Google's upcoming Gemini 3.8 Flash model reportedly shows meaningful improvement in coding performance, an area where the company has trailed rivals Anthropic and OpenAI. The model is expected to be released publicly this week.
Val Town's team found that most new Pro subscribers in July were referred by AI systems, chiefly Claude, even before the company deliberately optimized its site for machine readers. They discovered that many of these referrals came not from clickable citations but from the models' training memory mentioning Val Town as plain text, meaning standard referral tracking like utm_source and Referer headers missed much of the actual traffic source.
Google unveiled five new Android updates in a Tuesday blog post, including 'Motion Assist,' which displays a moving screen bubble to ease motion sickness in vehicles, and 'Guided Vision,' which uses the camera and Gemini AI to help blind and low-vision users read labels, menus, or identify objects. Additional updates let Gemini help users track misplaced items and add new personalization options to Google Messages.
A commentator pushes back against a wave of criticism aimed at Mozilla's Firefox browser for maintaining a presence on X, noting that critics who switched to alternatives like Vivaldi remain active on the same or similar platforms. The piece frames this backlash as misguided given Firefox's shrinking market share and its role as one of the few browsers not built on Google's Chromium engine.
Two Wall Street research notes this week argue that Meta's heavy AI investment is starting to show results. Bernstein said AI-powered ad targeting helped Meta grow ad revenue 27% year-over-year in Q2, gaining market share from Google, whose ad network revenue actually declined. Separately, Bank of America highlighted Meta's upcoming personal AI agent, Hatch, reportedly featuring a customizable dashboard and possible premium subscription tier costing up to $199.99 a month, as a potential new revenue source beyond advertising.
A new study from Google Research and Technion shows that when models like GPT-5 and Gemini-3 hallucinate, the underlying fact is usually already stored in their parameters rather than missing entirely. The researchers found these models encode 95-98% of tested facts, but often fail to surface them during generation due to retrieval, not storage, limits. They propose 'fact-level profiling' to separate whether a fact is encoded versus reliably retrievable across different phrasings.