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Apple is developing a new version of Siri that’s supposed to be better than the existing ‌Siri‌ in every way. It will be smarter and able to do more, functioning like ChatGPT or Claude instead of a barely competent 2012-era smartphone assistant. The next-generation version of ‌Siri‌ will use advanced large language models, similar to ChatGPT, Claude, Gemini, and other AI chatbots. Here’s what we’re waiting on: Personal Context: With personal context, ‌Siri‌ will be able to keep track of emails, messages, files, photos, and more, learning more about you to help you complete tasks and keep track of what you’ve been sent. Onscreen awareness will let ‌Siri‌ see what’s on your screen and complete actions involving whatever you’re looking at. Deeper app integration means that ‌Siri‌ will be able to do more in and across apps, performing actions and completing tasks that are just not possible with the personal assistant right now.  Apple is rumored to be considering a partnership with ChatGPT creator OpenAI or Claude creator Anthropic to power the smarter version of ‌Siri‌. Both companies are reportedly training versions of their models that would work with Apple’s Private Cloud Compute servers, and Apple is running tests with both its own models and models from outside companies. No final decision on ‌Siri‌ has been made as of yet. Partnering with a company like Anthropic or OpenAI would allow Apple to deliver the exact ‌Siri‌ feature set that it is aiming for, while also giving it time to continue work on its own LLM behind the scenes.

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Google is beefing up its features for Gemini, its primary suite of generative AI models and the chatbot that serves as its main interface. For creative folks, the Gemini app now offers image editing using text prompts through its viral Gemini 2.5 Flash Image model, codenamed Nano Banana. Also, Google has added Veo 3, the newest version of its video generation model. The tool can animate still photos, drawings or digital art into moving video clips, complete with AI-generated audio. For productivity, Google is also adding scheduled actions, a feature that lets users queue tasks and recurring requests directly within the Gemini app. The Productivity Planner Gem integrates email, Calendar and Drive into a single view, designed to help users prioritize daily tasks more easily. Meanwhile, Temporary Chat allows people to hold private conversations with Gemini that won’t be saved or affect future responses, an answer to growing demand for more user control over AI memory. Gemini can now draw on past chat history if users opt in to provide more relevant answers. Users can manage or delete stored conversations. Real-time captions to Gemini Live, its voice chatbot, can connect with Google services such as Maps. For education, one new feature is Guided Learning, which helps users break down complex topics into digestible steps. The tool is designed to make explanations more interactive, with the AI walking learners through a process rather than delivering a static answer. Students and business professionals can also now generate study guides and flash cards directly from their own notes, readings or problem sets, automating one of the more time-consuming aspects of learning. Google has also introduced Storybook, a feature that allows users to turn personal memories or even dense concepts into illustrated stories that can be read, shared or printed. The tool can add text and audio, blending creative writing with multimodal AI generation.

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Following an update to the August 1 Google Play services update, users are reporting that the Galaxy Watch 8 can now connect to the Pixel 10. It’s unknown if this is the case for other Pixel devices, as the issue appeared to include other models. In our own testing, a previously barred Galaxy Watch 8 Classic paired flawlessly to our Pixel 10 Pro XL on the first go following the update. It’s worth noting we skipped signing into Samsung Health at the start, though that should have no bearing on a successful connection. The connection appears stable after rebooting both devices. One user had submitted a ticket indicating that their Pixel 10 Pro would not connect with the Galaxy Watch 8, and over 260 users have indicated that they’re experiencing the same issue. According to them, after confirming pairing codes on both watch and phone, the setup fails or glitches out. No pending updates seem to be the issue. Some devices on the 9to5Google team had the same issue. After getting the Watch 8 Classic to work on the Pixel 9 Pro Fold with no problems, upgrading to the Pixel 10 Pro XL resulted in multiple failed setup attempts. Sometimes the Pixel 10 Pro would refuse to give a pairing code, and the Watch 8 Classic would have to be reset because of the error. Other times, the Galaxy Watch 8 Classic and Pixel 10 Pro XL could agree on codes and begin the pairing process, though it never exceeded 84% completion without faulting. This issue takes a tremendous amount of time and has no success.

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Google is rolling out Gemini in Chrome to all Mac and Windows desktop users in the U.S. after previously limiting the capability to Google AI Pro and Google AI Ultra subscribers. The tech giant also announced that it’s bringing agentic capabilities to Chrome in the future, adding its AI Mode search feature to the address bar, launching new Gemini features, using AI to combat AI-generated scams, rolling out automatic password resets, and more. U.S. users who have their language set to English can now ask Gemini to clarify complex information on any web page they’re reading using the Gemini icon in the top-right corner of their Chrome window. Gemini can now work across multiple tabs, allowing users to quickly compare and summarize information across multiple websites. Gemini will soon be able to retrieve web pages you’ve previously visited, making it easier to return to past browsing sessions without sifting through your browser history. Additionally, Google is launching a deeper integration between Gemini in Chrome and other Google apps, like Calendar, YouTube, and Maps. Google says this will allow users to do things like schedule meetings, see location details, and more without having to leave the page they’re on.  Google notes that the AI assistant will be able to complete tedious tasks, like booking a haircut or ordering weekly groceries. Gemini will navigate to the site, add things to your cart, and let you take the final action by checking out with your payment option. Google is also bringing AI Mode, its advanced search feature, directly into the Chrome address bar. With AI Mode, users can ask complex questions with follow-ups to dig deeper into topics.  Chrome can now suggest relevant questions based on the context of the page to kickstart your search in the address bar. Google says users will get a helpful AI Overview and the option to ask follow-up questions with AI Mode. The company says Chrome will also soon be able to use its Gemini Nano model to detect and protect against scams, such as fake virus alerts and fraudulent giveaways. These scams often impersonate trusted brands and use generative AI to create convincing phishing attempts. Google also announced that it’s using AI to help users fix compromised passwords with a single click on supported sites, like Coursera, Spotify, Duolingo, H&M, and more.

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Google is making it possible to now share your Gemini Gems — custom AI assistants and experts designed for specific tasks — the company announced on Thursday. The feature launched last year, initially as part of the Gemini Advanced paid subscription, allowing users to write instructions to create an AI chatbot for different scenarios. For instance, Google launched with premade Gems like a learning coach, a brainstorming assistant, a career guide, a writing editor, and a coding partner. Now Google says you’ll be able to share your Gems with friends, family, or co-workers as easily as you can share a file from Google Drive. This would make Gems more accessible to more people, as not everyone uses the advanced customization feature. It could also help prevent people from building the same Gems as others. For instance, if multiple co-workers were using a similar type of custom Gemini assistant, they could just share the same resource instead of each making their own version that could have slight inconsistencies between them. Google suggests Gem sharing could also be useful for people working on family vacation plans and guides, meal planners, or collaborative writing projects. Also similar to Google Drive, you can control who can view and use your Gems and who’s allowed to edit them.

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Samsung is planning a big expansion of AI features on Galaxy phones, and claims that a huge percentage of its users are already leveraging AI features in one way or another. Samsung says that 70% of Galaxy S25 owners are using Galaxy AI features. There’s no specific timeline (as in, how often after the features being used), but it’s still a big number. Samsung further adds that: “More than half” of Galaxy S25 owners use Circle to Search (a Google feature); Photo Assist usage “doubled” compared to Galaxy S24 users; Now Brief is used by “one in three” Galaxy S25 owners; Google Gemini use “tripled” on “the latest Galaxy S series.” With all of this in mind, Samsung says that it will expand Galaxy AI to hundreds of millions of devices over the course of 2025. Specifically, the company wants to double its previous “200+ million” figure to over 400 million. At the center of our innovation is a desire to bring consumers seamless and secure mobile AI experiences that align with their needs. That’s why Samsung Galaxy is committed to expanding Galaxy AI to 400 million devices by the end of this year — democratizing the power and possibilities of mobile AI to even more users.  It stands to reason that new device launches and updates to existing devices will play a big role, but it’s still a big promise.

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Google TV is adding support for TVs with presence sensing hardware, but the first TV set with support is not cheap, as the TCL QM9K is now available starting at $3,000. The TCL QM9K series is now on sale at Best Buy in the US. The new flagship TV from TCL is a 4K QD-Mini LED TV, and Google TV is taking advantage of its new hardware. Firstly, this is the first place that Gemini is debuting, at least according to TCL. More importantly, though, the TCL QM9K is the first Google TV set with presence sensing hardware built in. Using mmWave radios, the TV can detect when someone is in the room and turn on the TV to show an ambient screensaver or select information. TCL previously explained that this can be adjusted to your preferences, including the distance from the TV in which the presence sensor is used. The TCL QM9K series starts at $3,000 at Best Buy. That’s for the 65-inch model, with larger sizes of course being more expensive. Pricing breaks down as follows: 65-inch: $2,999; 75-inch: $3,499; 85-inch: $3,999; and 98-inch: $5,999. Sales will likely follow in time, though. TCL’s QM8K series started at $2,499 when it launched earlier, but you can now get a 65-inch model for $1,500.

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Google Messages is beginning to test the new Messaging Layer Security (MLS) protocol. Universal Profile 3.0 adds support for MLS, which makes E2E encryption possible across different RCS clients and providers. Google first announced its support for this interoperable protocol in 2023. The GSMA and Apple announced official adoption this March. Google Messages is now beginning to test MLS encryption for RCS. It starts with a new message “Details” (long-press on the chat/text) screen that’s fullscreen compared to the current approach. You get a preview of the message at the top, with Google also showing a “Status” section for “Sent” and Delivered” that explains the new checkmarks. We see Google using the latest single circle design that has yet to become widely available. There’s also a “From” section, while the bottom portion provides more technical details including Type, Priority, Message id and Encryption Protocol. This new design is not widely rolled out in the beta channel. It’s unclear if that’s also the case for MLS as the old UI makes no indication, while Apple has yet to specify when support is coming.

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Google researchers have developed a new framework for AI research agents that outperforms leading systems from rivals OpenAI, Perplexity and others on key benchmarks. The new agent, called Test-Time Diffusion Deep Researcher (TTD-DR), is inspired by the way humans write by going through a process of drafting, searching for information, and making iterative revisions. The system uses diffusion mechanisms and evolutionary algorithms to produce more comprehensive and accurate research on complex topics. For enterprises, this framework could power a new generation of bespoke research assistants for high-value tasks that standard retrieval augmented generation (RAG) systems struggle with, such as generating a competitive analysis or a market entry report. Unlike the linear process of most AI agents, human researchers work in an iterative manner. They typically start with a high-level plan, create an initial draft, and then engage in multiple revision cycles. During these revisions, they search for new information to strengthen their arguments and fill in gaps. Google’s researchers observed that this human process could be emulated using a diffusion model augmented with a retrieval component. (A trained diffusion model initially generates a noisy draft, and the denoising module, aided by retrieval tools, revises this draft into higher-quality (or higher-resolution) outputs. TTD-DR is built on this blueprint. The framework treats the creation of a research report as a diffusion process, where an initial, “noisy” draft is progressively refined into a polished final report. This is achieved through two core mechanisms. The first, which the researchers call “Denoising with Retrieval,” starts with a preliminary draft and iteratively improves it. In each step, the agent uses the current draft to formulate new search queries, retrieves external information, and integrates it to “denoise” the report by correcting inaccuracies and adding detail. The second mechanism, “Self-Evolution,” ensures that each component of the agent (the planner, the question generator, and the answer synthesizer) independently optimizes its own performance.  The resulting research companion is “capable of generating helpful and comprehensive reports for complex research questions across diverse industry domains. In side-by-side comparisons with OpenAI Deep Research on long-form report generation, TTD-DR achieved win rates of 69.1% and 74.5% on two different datasets. It also surpassed OpenAI’s system on three separate benchmarks that required multi-hop reasoning to find concise answers, with performance gains of 4.8%, 7.7%, and 1.7%.

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Some Wear OS watches are starting to show Google Wallet photo passes with patterns like QR codes or barcodes. The interface is in Spanish, and the pass includes a label that translates to “Press to scan,” suggesting it’s the kind of pass that contains a barcode or QR code. The other screenshot below shows a disclaimer explaining that the pass was created with a photo and that some of its information might not be visible on the watch, with a prompt to open it on your phone for the full view. hoto passes that include a QR code or barcode appear to show up on some Wear OS watches, while passes that are simply photos, like an image of a document, don’t. That suggests Google may be experimenting with support specifically for scannable photo passes rather than full photo pass support. There’s been no official announcement from Google, and its support pages still state that “private” passes aren’t supported on Wear OS. But this is the clearest sign yet that things might be changing.

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