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Microsoft Is Combining Its Copilot Apps Ahead of a 'Super App'

2 weeks ago
Microsoft is merging its consumer Copilot and Microsoft 365 Copilot apps ahead of a broader "super app" launch later this year. "Both personal and work accounts will be moved to the new unified app, which recycles the 'Microsoft Copilot' name but features an updated app icon," reports The Verge. "The single app also means there won't be two annoying Copilot icons in the system tray or taskbar anymore." From the report: The updates are intended to be a technical milestone in preparation of the "super app" Microsoft is planning to launch later this year, so this is laying the foundations of what will be changing for Copilot products. A worldwide rollout for the mobile and web apps will start in "mid-August," according to Microsoft, with a rollout to Windows and Mac apps set for "mid-September." Mobile app users will be prompted to download the new Copilot app, and the updates will start appearing for some Windows Insiders this week. What changes you'll see will depend on which Copilot apps you're already using. Existing Microsoft Copilot users will be moved to the updated version, along with your chats and content, while Microsoft 365 Copilot app users will see "minor navigation changes," the updated Copilot icon, and gain access to Copilot chat. If you already use both apps, Microsoft says your chats and content will be merged to a single updated Copilot app, but notes that chats, content, and data will remain separate between account types within the app. Microsoft says enterprise security, compliance, and government controls will remain unchanged and core Copilot features will remain free, though usage limits may vary. Podcasts, Deep Research, and Group Chat content will, however, be discontinued after August 18. The company also says Shopping and Copilot Health "may be temporarily unavailable" during the transition.

Read more of this story at Slashdot.

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Amazon Will Train On Twitch Streamers' Content By Default, Unless They Opt Out

2 weeks ago
Twitch will begin allowing Amazon to use streamers' content to train generative AI models by default, requiring creators to manually opt out if they don't want their videos and audio included. The decision has drawn backlash from creators, with Twitch's own product chief acknowledging that an opt-in system would likely attract almost no participants. "Why is it not opt-in? That's what everybody is spamming in chat. I get it. 'Let me opt in versus making me opt out,'" said Twitch Chief Product Officer Mike Minton. "Well, there's an honest answer... If this was opt-in, nobody would opt in. That's honestly the answer." TechCrunch reports: For Amazon, these stream recordings are incredibly valuable, offering thousands of hours of audio and video content to help train AI models. But Twitch users worry that since creators have to manually opt out, they might be surrendering their content to train Amazon's AI content models without even knowing it. This is especially concerning on a platform like Twitch, where creators are often recording livestreams of themselves and their voices for many hours per week. [...] Twitch knows that its community of streamers is largely opposed to the use of generative AI, since the most prevalent generative AI products are trained on books, images, videos, and other materials scraped from the internet without consent. Even Twitch's approach to breaking this news shows that the company is braced for backlash. Instead of telling the community that Amazon would begin training on Twitch users' content, Twitch framed this change as "[adding] a setting that lets you opt out of having your channel content used to train generative AI content models across Amazon." In some cases, this created confusion among streamers about whether their content had already been fed to Amazon without their knowledge. When one user asked if their videos had already been used for training, Minton responded, "I don't actually know the answer to that question because I don't know what Amazon [...] has done in terms of model training and what they've used and not used."

Read more of this story at Slashdot.

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