Google’s upcoming Pixel 10 smartphones are tipped to place AI at the centre of the user experience, with three new features expected to redefine how people use their devices.
While hardware upgrades are anticipated at the Made by Google event, much of the excitement revolves around the AI tools that may debut.
One feature, called Help Me Edit, is designed for Google Photos. Instead of spending time on manual edits, users could describe the change they want, such as altering the colour of a car, and the AI would adjust instantly.
Expanding on the Pixel 9’s generative tools, it promises far greater control and speed.
Another addition, Camera Coach, could offer real-time guidance on photography. Using Google’s Gemini AI, the phone may provide step-by-step advice on framing, lighting, and composition, acting as a digital photography tutor.
Finally, Pixel Sense is rumoured to be a proactive personal assistant that anticipates user needs. Learning patterns from apps such as Gmail and Calendar, it could deliver predictive suggestions and take actions across third-party services, bringing the smartphone closer to a truly adaptive companion.
These features suggest that Google is betting heavily on AI to give the Pixel 10 a competitive edge.
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Google’s Cloud Experience lead Hayete Gallot says developer interest in sovereign cloud solutions is rising sharply amid AI concerns. More clients are asking to control how and where their data is stored, processed, and encrypted within public cloud environments.
Microsoft said it could not guarantee full cloud data sovereignty in July, increasing pressure on rivals to offer stronger protections.
Gallot noted that sovereignty is more than location. Cybersecurity measures such as encryption, ownership, and administrative access are now top priorities for businesses.
On AI, Gallot dismissed fears that assistants will replace developers, saying skills like prompt writing still require critical thinking.
She believes modern developers must adapt, comparing today’s AI tools to learning older languages like Pascal or Fortran.
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OpenAI CEO Sam Altman has warned that the United States may be underestimating China’s rapid advances in AI. He argued that export controls on semiconductors are unlikely to be a reliable long-term solution to the global AI race.
At a press briefing in San Francisco, Altman said the competition cannot be reduced to a simple scoreboard. China can expand inference capacity more quickly, even as Washington tightens restrictions on advanced semiconductor exports.
He expressed doubts about the effectiveness of purely policy-driven approaches. ‘You can export-control one thing, but maybe not the right thing… workarounds exist,’ Altman said. He stressed that chip controls may not keep pace with technological realities.
His comments come as US policy becomes increasingly complex. President Trump halted advanced chip supplies in April, while the Biden administration recently allowed ‘China-safe’ chips, requiring Nvidia and AMD to share revenue. Critics call the rules contradictory and difficult to enforce.
Meanwhile, Chinese firms are accelerating efforts to replace US suppliers, with Huawei and others building domestic alternatives. Altman suggested this push for self-sufficiency could undermine Washington’s goals, raising questions about America’s strategy in the AI race.
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Moving like this empowers enterprises to build AI agents tailored for multimodal understanding, software development, workflow automation and research.
The rollout extends beyond the initial model. Oracle plans to integrate the entire Gemini suite, including video, image, speech, and music generation, as well as vertically specialised models like MedLM for healthcare.
For customers, Oracle simplifies adoption: Gemini access is billed via Oracle Universal Credits, and no new contracts are required. Behind the scenes, OCI’s bare-metal GPU instances ensure optimised compute performance for demanding AI workflows.
This integration further strengthens Oracle’s position in enterprise AI, offering partners and clients a curated, model-agnostic environment that combines AI innovation with operational reliability.
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Parag Agrawal, the former Twitter chief executive removed after Elon Musk’s takeover in 2022, has re-entered the technology sector with a new venture.
His company, Parallel Web Systems, is developing AI tools designed to help AI agents gather and analyse information online without human input.
The company’s first product, Deep Research API, outperforms human researchers and advanced models such as OpenAI’s GPT-5 on specific benchmarks.
Agrawal revealed that the system already supports millions of tasks daily and is used by coding agents to locate documents and fix errors. Parallel has secured 30 million dollars in funding and employs around 25 staff.
Agrawal had been Twitter’s chief technology officer before succeeding Jack Dorsey as chief executive in late 2021. After leaving the company, he returned to academic research and coding instead of joining other struggling firms.
He has argued that the internet will eventually be dominated by AI agents rather than human users, predicting that individuals may soon rely on dozens of agents to act on their behalf.
His views echo predictions from Coinbase developers, who recently suggested that AI agents could become the most significant users of Ethereum.
They propose that autonomous systems can handle stablecoin transfers and e-commerce transactions, enabling services from self-driving taxis to AI-powered content platforms.
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Google has agreed to pay a fine of A$55 million (US$35.8 million) in Australia after regulators found the tech giant restricted competition by striking deals with the country’s two largest telecommunications providers. The arrangements gave Google’s search engine a dominant position on Android phones while sidelining rival platforms.
The Australian Competition and Consumer Commission (ACCC) revealed that between late 2019 and early 2021, Google partnered with Telstra and Optus, offering them a share of advertising revenue in exchange for pre-installing its search app. Regulators said the practice curtailed consumer choice and prevented other search engines from gaining visibility. Google admitted the deals harmed competition and agreed to abandon similar agreements.
ACCC Chair Gina Cass-Gottlieb said the outcome was essential to ensure Australians have ‘greater search choice in the future’ and that rival providers gain a fair chance to reach consumers. While the fine still requires court approval, Google and the regulator have submitted a joint recommendation to avoid drawn-out litigation.
In response, Google emphasised it was satisfied with the resolution, noting that the contested provisions were no longer part of its contracts. The company said it remains committed to offering Android manufacturers flexibility in pre-loading apps while maintaining features that allow them to compete with Apple and keep device prices affordable. Telstra and Optus confirmed they have ceased signing such agreements since 2024, while Singtel, Optus’ parent company, has yet to comment.
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The US government is reportedly considering acquiring a stake in Intel to support its domestic chip manufacturing plans. Talks began after Intel CEO Lip-Bu Tan met with Trump administration officials on 11 August, following calls for his resignation over alleged China ties.
President Trump has pushed for greater control over the semiconductor sector and recently criticised Tan, prompting political pressure on Intel’s board.
While Intel declined to comment on a possible deal, it stated its commitment to supporting US technology and manufacturing leadership.
The proposed stake would aid Intel’s delayed Ohio chip factory project and expand its US production capacity.
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Google has rolled out Flight Deals, a new AI‑powered tool for flexible, budget‑conscious travellers within Google Flights. It allows users to type natural‑language descriptions of their ideal trip, such as favourite activities or timeframe, and receive bargain flight suggestions in return.
Powered by Gemini, the feature parses conversational inputs and taps real‑time flight data from multiple airlines and agencies.
The tool identifies low fares and even proposes destinations users might not have considered, ranking options by percentage savings or lowest price.
Currently in beta, Flight Deals is available in the US, Canada, and India without special opt‑in. It is also accessible via the Google Flights menu.
Traditional Google Flights remains available, with a new option to exclude basic economy fares in the US and Canada.
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Google has released Gemma 3 270M, an open-source AI model with 270 million parameters designed to run efficiently on smartphones and Internet of Things devices.
Drawing on technology from the larger Gemini family, it focuses on portability, low energy use and quick fine-tuning, enabling developers to create AI tools that work on everyday hardware instead of relying on high-end servers.
The model supports instruction-following and text structuring with a 256,000-token vocabulary, offering scope for natural language processing and on-device personalisation.
Its design includes quantisation-aware training to work in low-precision formats such as INT4, reducing memory use and improving speed on mobile processors instead of requiring extensive computational power.
Industry commentators note that the model could help meet demand for efficient AI in edge computing, with applications in healthcare wearables and autonomous IoT systems. Keeping processing on-device also supports privacy and reduces dependence on cloud infrastructure.
Google highlights the environmental benefits of the model, pointing to reduced carbon impact and greater accessibility for smaller firms and independent developers. While safeguards like ShieldGemma aim to limit risks, experts say careful use will still be needed to avoid misuse.
Future developments may bring new features, including multimodal capabilities, as part of Google’s strategy to blend open and proprietary AI within hybrid systems.
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