Pixel 10 leak: Glossy design, triple camera, but no vapour cooling or Wi-Fi 7 tipped
Google's upcoming Pixel 10 series is shaping up to be one of the most anticipated smartphone releases of the year, with a rumoured launch date of 20 August at the annualMade by Google event. While official confirmation is still pending, reports indicate the devices could hit store shelves as early as 28 August. However, new leaks suggest that the standard Pixel 10 model may fall short in several areas despite some notable upgrades.
According to a report byAndroid Headlines, the base Pixel 10 will not feature a vapour chamber cooling system, a component crucial for maintaining performance during intensive tasks such as gaming or 4K video recording. This omission marks a continued trend from last year's Pixel 9, which also skipped the feature, reserving it exclusively for the Pixel 9 Pro.
Additionally, the Pixel 10 is reportedly set to lack support for Wi-Fi 7, a next-generation connectivity standard that was included in the Pixel 9. If accurate, this could be seen as a step backwards in terms of wireless capabilities, potentially affecting download speeds and latency for users on compatible networks.
One of the headline features tipped for the Pixel 10 Pro, Ultra Res Zoom, is also expected to be absent from the standard model. Building upon Google's existingSuper Res Zoom, which offered up to 8x magnification, the new feature is believed to deliver significantly greater zoom levels, though exact details remain scarce.
Another area where the vanilla Pixel 10 may lag behind is video stabilisation. While earlier leaks hinted at gimbal-level stabilisation, fresh information suggests that this ultra-stable recording feature will not be available in the base variant.
Design-wise, the Pixel 10 is said to retain a similar aesthetic to its predecessor, featuring matte-finished sides with a glossy rear panel. Meanwhile, internal upgrades are expected to include a revamped triple rear camera setup, complete with a telephoto lens and improvements in loudspeaker performance. The entire Pixel 10 lineup is also rumoured to be powered by Google's latest in-house chipset, the Tensor G5.
As anticipation builds towards the expected August unveiling, these reported omissions may leave some prospective buyers considering the higher-end Pro models for a more complete feature set.
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Time of India
24 minutes ago
- Time of India
Google launches Gemini model for robots to run without internet connectivity
Google has launched a new Gemini model, which is specifically designed to run on robots without requiring internet connectivity. The tech giant describes the "Gemini Robotics On-Device" model as an efficient, on-device robotics model offering 'general-purpose dexterity' and faster task adaptation. This new version builds on the Gemini Robotics VLA (vision language action) model, which was introduced in March and brought Gemini 2.0's multimodal reasoning and real-world understanding to physical applications. By operating independently of a data network, the on-device model will support latency-sensitive applications and ensure stronger environments with unreliable or no connectivity. Google is also providing a Gemini Robotics SDK to assist developers. This SDK will allow them to evaluate Gemini Robotics On-Device for their specific tasks and environments, test the model within Google's MuJoCo physics simulator, and adapt it to new domains with a limited number of demonstrations (as few as 50 to 100). Developers can gain access to the SDK by signing up for Google's trusted tester program. Google's new Gemini model for robots: Capabilities and performance Google claims that Gemini Robotics On-Device is a lightweight robotics foundation model designed for bi-arm robots that enables advanced dexterous manipulation with minimal computational overhead. Built on the capabilities of Gemini Robotics, it supports rapid experimentation, fine-tuning for new tasks, and local low-latency inference. The company also promises that the model demonstrates strong generalisation across visual, semantic, and behavioural tasks, effectively following natural language instructions and completing complex actions like unzipping bags or folding clothes, all while operating directly on the robot. In tests, Gemini Robotics On-Device outperforms other on-device models, especially in challenging, out-of-distribution and multi-step scenarios. It can be fine-tuned with just 50–100 demonstrations, making it highly adaptable to new applications. Originally trained on ALOHA robots, the model was successfully adapted to the bi-arm Franka FR3 and Apollo humanoid robot, completing tasks like folding dresses and belt assembly. This marks the first availability of a VLA model for on-device fine-tuning, offering powerful robotics capabilities without cloud dependency. Redmi Pad 2: Know these Things Before Buying!
Time of India
an hour ago
- Time of India
Android is currently optimised for…: Why Perplexity AI CEO Aravind Srinivas wants Google to rebuild its operating system
Perplexity AI CEO Aravind Srinivas wants Google to rebuild its Android operating system. He noted that Android is more optimised for the tech giant's ad-driven business model than for enabling AI-powered experiences for smartphone users. Srinivas took to the social media platform X (earlier Twitter) to share his opinion that highlights a potential conflict as AI assistants become more common in smartphones. With this post, he questions whether current platforms, particularly those tied to advertising like Android, can evolve into intelligent, agentic systems that will primarily serve users. Srinivas questions whether Android's current priorities are aligned with the emerging era of AI agents , which are designed to interact proactively with users. What Perplexity AI CEO Aravind Srinivas said about Android In his X post, Srinivas wrote: 'Android needs to be rebuilt for AI. It's currently optimised for preserving Google's ad business rather than a truly agentic OS.' With this post, he suggests that to achieve significant advancements in AI-first mobile computing, Google may need to make some fundamental changes to the operating system itself, rather than merely adding AI features as layers. This suggestion comes as Perplexity develops Comet, an AI browser that will compete with Google by offering query responses with inline citations. This criticism comes at a time when Google is under increasing pressure on several fronts. According to a recent report by Bloomberg, Apple executives have internally discussed the possibility of acquiring Perplexity AI, with M&A chief Adrian Perica reportedly raising the idea with senior leaders, including services head Eddy Cue. Recently, Srinivas also suggested that Google's key weakness lies in its heavy reliance on high-margin search advertising , which remains far more profitable than its other businesses, like YouTube, cloud services, or AI initiatives. At the recently held Sohn Investment Conference, Srinivas explained how the Android-maker is trapped by its success. He noted, 'This is the first time in two decades that Google is extremely vulnerable.'
Hans India
2 hours ago
- Hans India
Google rolls out AI mode search in India, powered by Gemini 2.5
Google has officially launched its AI Mode search experience in India, bringing advanced, natural search capabilities to users through voice, visuals, and text. Initially piloted in the U.S., this experimental feature is now accessible in English via Search Labs—a platform that allows users to try early Google Search features and provide feedback. Once activated, AI Mode introduces a dedicated tab in the Google app and search interface. It leverages the powerful Gemini 2.5 model to enhance reasoning and allow for more complex, multi-step queries. Users can input questions through typing, voice commands, or even images, enabling deeper and more intuitive interactions with Search. This rollout is especially significant in India, where voice and visual search see widespread use. Hema Budaraju, Vice President of Product Management for Search at Google, noted that India leads globally in monthly Google Lens usage. AI Mode is part of Google's mission to make information universally accessible—regardless of how users choose to ask. The feature also enables follow-up questions and provides links to diverse sources, offering multiple perspectives on any topic. This aligns with the growing trend of users seeking not just answers, but richer understanding. Google highlighted that more than 1.5 billion people globally now interact with AI Overviews each month. These AI-generated summaries—featured at the top of search results—have led to a 10% increase in engagement for certain query types in both India and the U.S.
