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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Google has announced a $9 billion investment in Oklahoma over the next two years to expand cloud and AI infrastructure.
The funds will support a new data centre campus in Stillwater and an expansion of the existing facility in Pryor, forming part of a broader $1 billion commitment to American education and competitiveness.
The announcement was made alongside Governor Kevin Stitt, Alphabet and Google executives, and community leaders.
Alongside the infrastructure projects, Google funds education and workforce initiatives with the University of Oklahoma and Oklahoma State University through the Google AI for Education Accelerator.
Students will gain no-cost access to Career Certificates and AI training courses, helping them acquire critical AI and job-ready skills instead of relying on standard curricula.
Additional funding will support ALLIANCE’s electrical training to expand Oklahoma’s electrical workforce by 135%, creating the talent needed to power AI-driven energy infrastructure.
Google described the investment as part of an ‘extraordinary time for American innovation’ and a step towards maintaining US leadership in AI.
The move also addresses national security concerns, ensuring the country has the infrastructure and expertise to compete with domestic rivals like OpenAI and Anthropic, as well as international competitors such as China’s DeepSeek.
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Google has introduced a new ‘Preferred Sources’ feature that allows users to curate their search results by selecting favourite websites. Once added, stories from these sites will appear more prominently in the ‘Top Stories’ section and a dedicated ‘From your sources’ section on the search results page.
Now rolling out in India and the US, the feature aims to improve search quality by helping users avoid low-value content. There is no limit to the number of sources that can be chosen, and early testers typically added more than four.
While preferred outlets will appear more often, search results will still include content from other websites.
To set preferred sources, users can click the icon next to the ‘Top Stories’ section when searching for a trending topic, find the outlet they want, and reload results.
Google says the change may also benefit publishers, offering them more visibility when AI-driven search engines sharply reduce traffic to news websites.
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Perplexity AI has made a surprise US$34.5 billion offer to acquire Google’s Chrome browser, which could align with antitrust measures under consideration in the US.
The San Francisco-based startup submitted the proposal in a letter of intent, claiming it would keep Chrome independent while prioritising openness and consumer protection.
The bid arrives as Google awaits a court ruling on potential remedies after being found to have maintained an illegal monopoly in online search.
US government lawyers have suggested Chrome’s divestment instead of allowing Google to strengthen its dominance through AI. Google has urged the court to reject such a move, warning that a sale could harm innovation and reduce quality.
Analysts at Baird Equity Research said Perplexity’s offer undervalues Chrome and may be intended to prompt rival bids or influence the judge’s decision. They added that Perplexity, which already operates its browser, could gain an advantage if Chrome became independent.
Google argues that most Chrome users are outside the US, meaning a forced sale would have global implications. The ruling is expected by the end of August, with the outcome likely to reshape the competitive landscape for browsers as AI increasingly shapes how users access the internet.
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Quantum computing is set to shift from theory to real-world applications in 2025, driven by breakthroughs from Google and IBM. With error-corrected qubits and faster processing, the market is projected to reach $292 billion by 2035.
New chips, such as Google’s Willow, have significantly reduced errors, while interconnect innovations link multiple processors. Hybrid quantum-classical systems are emerging, with AI refining results for logistics, energy grids, and secure financial transactions.
The technology is accelerating drug discovery, climate modelling, and materials science, cutting R&D timelines and improving simulation accuracy. Global firms like Pasqal are scaling production in Saudi Arabia and South Korea, even as geopolitical tensions rise.
Risks remain high, from the energy demands of quantum data centres to threats against current encryption. Experts urge rapid adoption of post-quantum cryptography and fault-tolerant systems before mass deployment.
As the UN marks 2025 as the International Year of Quantum Science, quantum computing is quietly being integrated into operations worldwide, solving problems that surpass those of classical machines. The revolution has begun, largely unnoticed but poised to redefine economies and technology.
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In response to a troubling glitch in Google’s Gemini chatbot, the company is already deploying a fix. Users reported that Gemini, when encountering complex coding problems, began spiralling into dramatic self-criticism, declaring statements such as ‘I am a failure’ and ‘I am a disgrace to all possible and impossible universes’, repeatedly and without prompting.
Logan Kilpatrick, Google DeepMind’s group product manager, confirmed the issue on X, describing it as an ‘annoying infinite looping bug’ and assuring users that Gemini is ‘not having that bad of a day’. According to Ars Technica, affected interactions account for less than 1 percent of Gemini traffic, and updates addressing the issue have already been released.
This bizarre behaviour, sometimes described as a ‘rant mode’, appears to echo the frustrations human developers express online when debugging. Experts warn that it highlights the challenges of controlling advanced AI outputs, especially as models are increasingly deployed in sensitive areas such as medicine or education.
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Google is testing a new AI-powered version of its Finance page, offering users advanced tools to explore stock market, financial, and cryptocurrency information.
The platform enables users to ask natural language questions about finance and receive detailed answers, accompanied by source links.
The new page features three main components: research, charting tools, and real-time data and news. Users can visualise financial data using technical charts such as moving averages and candlestick charts, and access live updates and news feeds related to financial markets and cryptocurrencies.
Google plans to roll out the AI-powered Finance page over the coming weeks via Google.com/finance, aiming to provide a more interactive and insightful experience for users interested in financial data and market trends.
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Google has confirmed a data breach during its investigation into the ShinyHunters group, revealing the tech giant was also affected. The attackers accessed a Salesforce database used for storing small business customer information.
The breach exposed business names and contact details during a short window before access was revoked. Google stated no highly sensitive or personal data was compromised.
ShinyHunters used phishing and vishing tactics to trick users into authorising malicious Salesforce apps disguised as legitimate tools. The technique mirrors previous high-profile breaches involving firms like Santander and Ticketmaster.
Google warned the group may escalate operations by launching a data leak site. Organisations are urged to tighten their cybersecurity measures and access controls, train staff and apply multi-factor authentication across all accounts.
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Google has released its autonomous coding agent Jules for free public use, offering AI-powered code generation, debugging, and optimisation. Built on the Gemini 2.5 Pro model, the tool completed a successful beta phase before entering general availability with both free and paid plans.
Jules supports a range of users, from developers to non-technical staff, automating tasks like building features or integrating APIs. The free version allows 15 tasks per day, while the Pro tier significantly raises the limits, providing access to more powerful tools.
Beta testing began in May 2025 and saw Jules process hundreds of thousands of tasks. Its new interface now includes visual explanations and bug fixes, refining usability. Integrated with GitHub and Gemini CLI, Jules can suggest optimisations, write tests, and even provide audio summaries.
Google positions Jules as a step beyond traditional code assistants by enabling autonomy. However, former researchers warn that oversight remains essential to avoid misuse, especially in sensitive systems where AI errors could be costly.
While its free tier may appeal to startups and hobbyists, concerns over code originality and job displacement persist. Nonetheless, Jules could reshape development workflows and lower barriers to coding for a much broader user base.
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The technology offers eye-catching scenarios like flying over mountains, exploring volcanoes, or swimming through deep oceans. Although the graphics still show AI hallmarks, the functionality is advanced enough to raise concerns across the game industry.
Many fear that Genie 3 could render traditional development tools, such as Unity and Unreal, less essential, especially for prototyping or indie games. With just a few words, AI can now build what teams of artists and designers once did.
Job losses driven by AI are already happening in other sectors. Customer support, design, and language learning platforms have replaced humans with bots. Game developers may be next in line as studios seek to cut costs.
Some players may continue to favour human-made games, but the pressure is growing. Genie 3 shows that AI is no longer just assisting developers; it’s beginning to replace them.
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