ai

Google expands voice AI capabilities with Chirp 3

Google has announced the addition of its HD voice model, Chirp 3, to its Vertex AI platform, marking a significant step in its push into voice AI. Starting next week, developers will be able to use the platform to build applications such as voice assistants, audiobooks, and video voice-overs with eight new voices available in 31 languages.

The launch comes at a time when other companies, including startups like Sesame, are also advancing in the field of realistic-sounding AI voices. Despite this growing competition, Google remains cautious about potential misuse, with CEO Thomas Kurian noting that the company is working closely with its safety team to establish proper usage guidelines for Chirp 3.

Google’s move with Chirp 3 positions it alongside other tools from its Vertex AI platform, which includes machine learning and generative AI services like its Gemini and Imagen models. With AI voice applications rapidly gaining traction, it will be interesting to see how Google expands its offerings to stay competitive in this evolving space.

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Baidu launches new AI models to compete in global race

Baidu has unveiled two new AI models, including ERNIE X1, which it claims matches the performance of DeepSeek R1 at half the cost. The company says X1 is a deep-thinking model capable of autonomous tool use, with enhanced reasoning, planning, and adaptability.

Meanwhile, Baidu’s latest foundation model, ERNIE 4.5, boasts improved multimodal capabilities, advanced language understanding, and a better grasp of satire and internet culture.

The Chinese tech giant has been striving to compete in the rapidly evolving AI landscape, where startups like DeepSeek have disrupted the industry with high-performing, cost-effective models. While Baidu was one of the first Chinese companies to launch a ChatGPT-style chatbot, its Ernie LLM has faced challenges in achieving widespread adoption.

With growing competition from domestic and international AI firms, Baidu aims to solidify its position through continuous innovation. The company’s latest advancements highlight the push for more sophisticated AI systems capable of processing diverse forms of data, including text, images, and audio, as China intensifies its efforts to lead in AI.

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DeepSeek focuses on innovation instead of rapid commercial growth

Chinese AI company DeepSeek is prioritising research over revenue, resisting the rush to capitalise on recent sales growth.

Unlike its Silicon Valley counterparts, the firm has chosen to refine its technology rather than focus on immediate profits.

According to sources familiar with its operations, DeepSeek achieved financial stability last month for the first time, with revenues covering ongoing costs.

Despite the financial milestone, its billionaire founder remains committed to long-term innovation rather than aggressive commercial expansion.

The decision reflects a broader trend in China‘s AI sector, where some firms are investing heavily in research to compete globally.

As AI adoption accelerates, DeepSeek’s strategy signals confidence in future breakthroughs over short-term financial gains.

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Legal battle erupts between Brave and News Corp over indexing articles

Brave Software has filed a lawsuit against News Corp in a bid to preempt legal action over the indexing of copyrighted articles from publications such as The Wall Street Journal and the New York Post.

The legal dispute stems from a cease-and-desist letter issued by News Corp, which accused Brave of ‘scraping’ its websites and misappropriating content. Brave argues that indexing is standard practice for search engines and falls under ‘fair use.’

The lawsuit also raises concerns about the impact of such legal challenges on generative AI. Brave claims that search indexing is essential for AI models like ChatGPT and Google’s Gemini, which rely on search engine responses.

The company, which holds less than 1% of the search market compared to Google’s 90%, accuses News Corp of attempting to stifle competition and raise barriers for smaller search providers.

News Corp has rejected Brave’s arguments, with CEO Robert Thomson calling the company’s practices ‘parasitical’ and accusing it of unauthorised content scraping.

The dispute is part of a broader conflict between publishers and tech firms over the use of copyrighted material in AI training. News Corp previously sued AI startup Perplexity AI for allegedly copying its content without permission.

Brave is seeking a court declaration that its indexing practices do not constitute copyright infringement.

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China announces mandatory AI labelling requirements

Chinese authorities have announced new regulations requiring AI-generated content to be clearly labelled, with the rules set to take effect on 1 September 2025. Officials said the move aims to ensure transparency and support the ‘healthy development’ of AI.

The decision follows global discussions on the risks associated with AI-generated media, including misinformation and deepfakes.

By mandating labelling, China seeks to enhance accountability and distinguish AI-created content from human-generated material.

The new rules reflect the government’s ongoing efforts to regulate emerging technologies while maintaining control over digital information.

With AI playing an increasing role in content creation, policymakers worldwide are considering similar measures.

China’s regulations are expected to influence international approaches to AI governance as other nations evaluate their own strategies for handling AI-generated content.

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Chinese hedge funds boost AI for competitive edge

China’s hedge fund industry is undergoing a transformative shift, spurred by High-Flyer’s integration of AI in its trading strategies. The multi-billion-dollar fund not only uses AI to enhance its portfolio but also created DeepSeek, a game-changing LLM that has disrupted the dominance of Western AI firms like those in Silicon Valley.

The breakthrough has ignited an AI arms race among Chinese asset managers, including firms like Baiont Quant, Wizard Quant, and Mingshi Investment Management, as they rush to incorporate AI into their investment workflows.

AI-powered trading has gained momentum, with many hedge funds now using AI to process market data and generate trading signals based on investor risk profiles. As competition for “alpha” (outperformance) intensifies, the demand for AI talent is surging.

Companies like Wizard Quant and Mingshi are actively recruiting top AI engineers, and even mutual funds, such as China Merchants Fund, have adopted DeepSeek to boost their efficiency. The open-source model has democratised access to AI, lowering the entry barrier for smaller Chinese funds, which had previously been unable to compete with their Western counterparts due to high costs.

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The role of AI in precision farming for wine production

AI is making its mark in the wine industry, with vineyards across California adopting cutting-edge technology to optimise crop production.

One notable example is Napa Valley farmer Tom Gamble, who has integrated an autonomous tractor equipped with AI sensors to map his vineyard.

These AI-powered machines gather data that allows farmers to make more informed decisions about water use, fertilizer application, and pest control, improving efficiency and sustainability.

AI’s influence extends beyond tractors. Companies like John Deere in the US have developed AI-driven technologies that help vineyard managers apply materials more precisely, reducing waste and environmental impact.

Smart irrigation systems, for example, can monitor water use and even shut off in case of leaks, making vineyards more water-efficient.

Despite concerns about the cost of adopting such technology, particularly for smaller, family-run vineyards, AI offers a way to streamline operations and adapt to changing environmental conditions.

While AI is enhancing wine production, it also aids in managing crop health and predicting yields. By analysing images and soil data, AI systems can detect early signs of disease or nutrient deficiencies, helping farmers take preventive action before issues escalate.

However, this technology allows vineyards to make smarter decisions, ultimately improving the quality and consistency of their wine production.

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UK Technology Secretary uses ChatGPT for advice on media and AI

Technology Secretary Peter Kyle has been using ChatGPT to seek advice on media appearances and to define technical terms related to his role.

His records, obtained by New Scientist through freedom of information laws, reveal that he asked the AI tool for recommendations on which podcasts to feature and for explanations of terms like ‘digital inclusion’ and ‘anti-matter.’

ChatGPT suggested The Infinite Monkey Cage and The Naked Scientists due to their broad reach and scientific focus.

Kyle also inquired why small and medium-sized businesses in the UK have been slow to adopt AI. The chatbot pointed to factors such as a lack of awareness about government initiatives, funding limitations, and concerns over data protection regulations like GDPR.

While AI adoption remains a challenge, Labour leader Sir Keir Starmer has praised its potential, arguing that the UK government should embrace AI more to improve efficiency.

Despite Kyle’s enthusiasm for AI, he has faced criticism for allegedly prioritising the interests of Big Tech over Britain’s creative industries. Concerns have been raised over a proposed policy that could allow tech firms to train AI on copyrighted material without permission unless creators opt out.

His department defended his use of AI, stating that while he utilises the tool, it does not replace expert advice from officials.

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Meta faces lawsuit in France over copyrighted AI training data

Leading French publishers and authors have filed a lawsuit against Meta, alleging the tech giant used their copyrighted content to train its artificial intelligence systems without permission.

The National Publishing Union (SNE), the National Union of Authors and Composers (SNAC), and the Society of Men of Letters (SGDL) argue that Meta’s actions constitute significant copyright infringement and economic ‘parasitism.’ The complaint was lodged earlier this week in a Paris court.

This lawsuit is the first of its kind in France but follows a wave of similar actions in the US, where authors and visual artists are challenging the use of their works by companies like Meta to train AI models.

As the issue of AI-generated content continues to grow, these legal actions highlight the mounting concerns over how tech companies utilise vast amounts of copyrighted material without compensation or consent from creators.

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Microsoft backs renewables but acknowledges role of natural gas

Microsoft believes there is still significant room to expand wind and solar power to supply energy-hungry data centres, particularly in the Midwest wind corridor and the sunny southwest.

Bobby Hollis, Microsoft‘s Vice President of Energy, told Reuters at the CERAWeek energy conference that the company remains committed to renewables but acknowledges the challenges of intermittency in wind and solar power.

The rapid expansion of AI and cloud technology is driving record electricity demand, raising concerns about whether renewables can keep up or if gas-fired power will become a fallback.

Microsoft, which has pledged to be carbon-negative by 2030, is investing $80 billion in data centre expansion this year alone. Hollis said the company aims to maximise renewable energy but noted that natural gas may be necessary in some cases.

The central United States region, with strong and consistent winds, offers major potential for wind-powered data centres, while solar energy could expand further in the sun-rich southeast.

Microsoft has already procured more than 30 gigawatts of renewable energy worldwide and continues to push for greater renewable integration before resorting to fossil fuels.

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