Microsoft’s UK boss has warned that many companies are ‘stuck in neutral’ when it comes to AI, with a significant number of private and public sector organisations lacking any formal AI strategy. According to a Microsoft survey of nearly 1,500 senior leaders and 1,440 employees in the UK, more than half of executives report that their organisations have no official AI plan. Additionally, many recognise a growing productivity gap between employees using AI and those who are not.
Darren Hardman, Microsoft’s UK chief executive, stated that some companies are caught in the experimentation phase rather than fully deploying AI. Microsoft, a major backer of OpenAI, has been promoting AI deployment in workplaces through autonomous AI agents designed to perform tasks without human intervention. Early adopters, like consulting giant McKinsey, are already using AI agents for tasks such as scheduling meetings.
Hardman also discussed AI’s potential impact on jobs, with the Tony Blair Institute estimating that AI could displace up to 3 million UK jobs, though the net job loss will likely be much lower as new roles are created. He compared AI’s transformative impact on the workplace to how the internet revolutionised retail, creating roles like data analysts and social media managers. Hardman also backed proposed UK copyright law reforms, which would allow tech companies to use copyright-protected work for training AI models, arguing that the changes could drive economic growth and support AI development.
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US District Judge Yvonne Gonzalez Rogers ruled that Musk did not meet the high standards required to block the move. However, the judge indicated that she would expedite a trial on the matter, which is expected to take place later this year.
Musk, who co-founded OpenAI in 2015 but left before its major success, argued that OpenAI had initially sought his charitable funding to create AI for the public good, but has since shifted its focus towards making profits.
His lawyer, Marc Toberoff, expressed satisfaction that the judge had agreed to a swift trial, claiming that the case involves urgent public interest concerns.
OpenAI, which is seeking to become a for-profit entity to attract the necessary capital for its AI projects, welcomed the court’s decision.
The company emphasised that its goal is to develop advanced AI models to benefit society. Musk’s legal action, which also includes antitrust claims, stems from his frustration with OpenAI’s shift in direction since he departed from the organisation.
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DeepSeek’s progress is a clear sign of the growing influence of Chinese companies in the AI sector, according to a spokesperson for China’s parliament. Lou Qinjian, speaking to reporters on Tuesday, praised the achievements of DeepSeek’s young team, describing their work as ‘commendable’.
He highlighted the company’s open-source approach and its efforts to spread AI technology globally, contributing ‘Chinese wisdom’ to the world.
The AI startup has been widely celebrated in China, particularly for rolling out AI models that offer a significantly lower cost than those developed by US rivals like OpenAI.
While some countries, including South Korea and Italy, have removed DeepSeek’s chatbot from their app stores over privacy concerns, it has been embraced within China, where local governments and tech firms are integrating it into their systems.
Based in Hangzhou, DeepSeek is rapidly advancing its next-generation model, set to succeed its R1 release from January, as it continues to make waves in the global tech sector.
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OpenAI has rolled out a research preview of its latest GPT-4.5 model for Pro users, with plans to extend access to a wider audience over the next few weeks. The upgraded model boasts better pattern recognition, enhanced emotional intelligence, and an improved ability to generate creative insights.
The new version of GPT-4.5 also addresses a common issue with AI models, ‘hallucinations’ or the generation of false information, reducing its rate to 37.1%, compared to previous models’ higher rates. OpenAI’s CEO Sam Altman acknowledged some logistical challenges in the rollout, including GPU shortages, but assured users that more resources would be added soon.
While GPT-4.5 can handle tasks such as coding and content creation, it currently lacks some advanced features, such as voice and video capabilities. As OpenAI expands its offering, the company continues to refine the model to meet the growing demand for more powerful AI tools.
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Meta Platforms is preparing to test a paid subscription model for its AI chatbot, Meta AI, as it looks to compete with industry giants like OpenAI and Microsoft. The test will begin in the second quarter of this year, although significant revenue from the service is not expected until next year. Meta AI, launched in September 2023, offers virtual assistance powered by advanced language models.
CEO Mark Zuckerberg’s plans to boost the company’s AI capabilities include a $65 billion investment this year to expand AI infrastructure. Meta is also working on humanoid robots under its Reality Labs division. As tech companies race to dominate the AI space, Meta’s move to monetise its chatbot aligns with broader industry trends, with Microsoft and Amazon also making substantial investments in AI.
Despite the rising demand for AI services, Meta has not yet revealed the specific pricing for the new subscription service. However, the development highlights the company’s effort to enhance its AI offerings while positioning itself as a strong competitor in the rapidly expanding AI market.
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ElevenLabs, a Palo Alto-based AI startup valued at $3.3 billion, has introduced its first stand-alone speech-to-text model, Scribe. The company, which is better known for its audio-generation capabilities, now aims to disrupt the speech detection market by providing a faster and more accurate alternative to existing models like Whisper and Deepgram. Scribe supports over 99 languages, with top accuracy in more than 25, including English, French, and Spanish.
The new AI model has already outperformed competitors like Google’s Gemini 2.0 Flash and OpenAI’s Whisper Large V3 in benchmark tests. It also includes features like speaker diarisation, accurate subtitles, and sound event tagging, which could appeal to customers in media and content creation. While Scribe currently only works with pre-recorded audio, ElevenLabs plans to release a real-time version soon.
Priced at $0.40 per hour of transcribed audio, Scribe offers a competitive rate, though some rivals currently offer lower prices. With this move into speech-to-text, ElevenLabs is positioning itself to expand its AI offerings and challenge established players in the field.
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Baidu is set to launch the next generation of its Ernie AI model, the Ernie 4.5, in mid-March. This upgraded version will feature improved reasoning capabilities and enhanced multimodal functions, allowing it to process and integrate a variety of data formats, including text, images, audio, and video. Baidu also plans to make the Ernie 4.5 series open source from June 30, marking a significant shift in its approach to AI development.
The Chinese tech giant has faced fierce competition in the AI race, particularly from the rising startup DeepSeek, whose models are seen as rivals to leading US systems at a much lower cost. Despite claiming that Ernie’s performance is comparable to OpenAI’s GPT-4, Baidu has struggled to gain widespread adoption of its AI model. The emergence of DeepSeek has further complicated Baidu’s aspirations in the sector, leading the company to reassess its strategy.
Baidu’s CEO, Robin Li, who once advocated for keeping AI models closed-source, has acknowledged the success of DeepSeek and other competitors. He now views the open-source approach as essential for the future of AI development. This shift comes as Baidu continues to compete with other tech giants, including Alibaba, which recently announced its plans to make its video and image-generating AI model, Wan 2.1, open source.
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Estonia has launched a new initiative aimed at preparing students and teachers for the age of AI. The ‘AI Leap’ programme will provide access to popular AI chatbots, including an educational version of ChatGPT, to help build digital skills. Starting in September 2025, the programme will involve 20,000 high school students and 3,000 teachers, with plans to expand to vocational schools and an additional 38,000 students and 3,000 teachers in 2026.
Education Minister Kristina Kallas emphasised that Estonia’s economic competitiveness depends on how well the country adapts to AI, ensuring young people are equipped for the future. As part of the initiative, Estonia will also invest in teacher training to support the integration of AI in classrooms.
The programme is a public-private partnership, with negotiations underway with major AI companies, including OpenAI and Anthropic. OpenAI has expressed its pride in collaborating with Estonia to bring ChatGPT Edu to the education system, aiming to better prepare students for the workforce. Estonia’s use of AI in education is seen as a model that other countries may follow as the EU pushes to increase digital skills across Europe by 2030.
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For over a century, the Rorschach inkblot test has been used to explore human psychology by revealing the hidden facets of the mind through personal interpretations of ambiguous shapes. The test leverages a phenomenon known as pareidolia, where individuals perceive patterns, such as animals or faces, in random inkblots. Now, thanks to the advances in artificial intelligence, this test has been used to explore how AI interprets these same images.
In an intriguing experiment, ChatGPT was shown five common inkblots to see how it would respond. Unlike humans, who often project their emotions or personal experiences onto the images, the AI offered more literal interpretations, identifying symmetrical shapes or common visual features. However, these responses were based purely on patterns it has been trained to recognise, rather than any true emotional connection to the inkblots.
The AI’s responses were consistent with what it had learned from vast datasets of human interpretations. But while humans might see a butterfly or a skull, the AI merely recognised a shape, demonstrating a key difference between human cognition and machine processing. This experiment highlights the unique human ability to attach emotional or symbolic meaning to abstract visuals, something AI is not equipped to replicate.
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Google has quietly disclosed the pricing for its Veo 2 video-generating AI model, setting the cost at 50 cents per second of video. This translates to $30 per minute or $1,800 per hour, positioning Veo 2 as a premium tool for AI-generated video content.
While unlikely to produce big-budget epics, the model can create clips of two minutes or longer, as highlighted in Google’s initial announcement.
Jon Barron, a Google DeepMind researcher, compared Veo 2’s cost to Hollywood productions, noting that Avengers: Endgame had a production cost of around $32,000 per second.
Though Veo 2 operates at a fraction of that price, its output serves different purposes, targeting creators seeking efficient video generation without traditional production expenses.
The AI video generation space has grown increasingly competitive, with OpenAI recently releasing its Sora model to ChatGPT Pro subscribers for $200 a month. Google’s move to price Veo 2 publicly reflects the broader push to commercialise AI video tools as demand surges among content creators and businesses.
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