Future of work

DeepMind’s Hassabis calls for UK leadership in AI development

Britain should use its strengths in AI to shape how the technology is deployed worldwide, according to DeepMind founder Demis Hassabis.

Hassabis highlighted the country’s leading universities and skilled workforce as key factors in maintaining a competitive edge. Speaking at a Google AI event, he stressed the economic and geopolitical importance of ensuring AI development aligns with ethical and practical standards.

The UK government is working to boost AI innovation, with advanced technology at the centre of discussions between Prime Minister Keir Starmer and US officials.

Google has announced upgrades to its AI offerings in Britain, including expanded UK data residency for its work productivity tool, Google Agentspace. Meanwhile, tech rival Oracle has pledged a $5 billion investment in Britain over the next five years to support growing demand for cloud services.

Hassabis also called for global standards on the use of copyrighted material in AI development, noting the challenges of regulating models used across different countries.

Google’s AI expansion includes the addition of its Chirp 3 audio generation model to Vertex AI, enhancing cloud services with human-like voice capabilities. The UK remains a key player in the AI sector, with industry leaders pushing for policies that ensure responsible and effective deployment of the technology.

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AI assistants automate nursing tasks to address burnout

AI assistants are being increasingly used in healthcare to automate tasks traditionally performed by nurses, aiming to reduce burnout and streamline operations.

While hospitals say AI improves efficiency, nursing unions argue that these technologies undermine nurses’ expertise and can compromise patient care.

AI companies like Hippocratic AI offer assistants at a fraction of the cost of a nurse, which raises concerns among unions about the potential for technology to replace caregivers.

Hospitals are also facing issues with AI-generated false alarms and inaccurate advice, which nurses believe can be dangerous if not carefully managed.

Some hospitals are using AI for administrative tasks, like making calls to prepare patients for surgery, improving efficiency and reducing burnout.

However, AI companies envision a broader role for their technology, including humanlike avatars for patient communication and chronic pain management.

Experts argue that while AI may help with routine tasks, it may not be suitable for complex cases involving the very sick.

Nurses caution that patient care should remain a human-driven process, with AI serving as a tool rather than a replacement.

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Elon Musk’s xAI expands with Hotshot acquisition

xAI, Elon Musk’s AI company, has acquired Hotshot, a San Francisco-based startup focused on generative AI video tools.

The company, founded by Aakash Sastry and John Mullan, initially developed AI-driven photo editing tools but shifted its focus to text-to-video AI models.

Hotshot’s video foundation models, such as Hotshot-XL and Hotshot Act One, have already gained significant attention in the AI industry.

The acquisition is expected to boost xAI’s plans to develop its own video generation models, competing with major competitors like OpenAI’s Sora and Google’s Veo 2.

Musk had previously hinted at the creation of a ‘Grok Video’ model, which he anticipates launching in the near future. Hotshot’s team will likely play a key role in scaling these efforts, using xAI’s powerful infrastructure, including the Colossus cluster.

Hotshot’s website has confirmed the sunsetting of its video creation tools as of March 14, with existing customers having until March 30 to download their content.

The specifics of the staff transition to xAI remain unclear, with Sastry declining to comment. This acquisition represents a significant step for xAI in the rapidly evolving generative AI space.

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OpenAI expands ChatGPT capabilities with Google Drive and Slack integration

OpenAI is preparing to beta test its new feature, ChatGPT Connectors, which will enable businesses to link their Google Drive and Slack accounts to ChatGPT.

Employees can leverage internal company data, including files, presentations, and Slack discussions, to enhance their interactions with the AI chatbot.

The feature will provide answers informed by these internal resources, similar to how ChatGPT currently uses web search to answer general queries.

The initial beta testing will be available to ChatGPT Team subscribers, with plans to extend the functionality to other platforms, such as Microsoft SharePoint and Box.

The move is part of OpenAI’s effort to integrate ChatGPT deeper into business operations, aiming to make it an essential tool for workplace productivity.

While some companies have expressed concerns about sharing sensitive data with AI, ChatGPT Connectors offers reassurances that permissions from Google Drive and Slack will be fully respected and up-to-date.

The ChatGPT Connector model is powered by OpenAI’s GPT-4o, which can refine responses based on a company’s internal knowledge. However, the integration has certain limitations.

For example, it cannot analyse images in Google Drive files or access private Slack messages and group chats. Additionally, companies must provide OpenAI with select documents and conversations for the beta test, though OpenAI assures that no data will be directly used for training the AI.

Enterprise AI-powered search tools may see a significant impact from this development, creating challenges for competitors in the industry.

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UK teachers embrace AI for future education

Teachers in Stoke-on-Trent gathered for a full-day event to discuss the role of AI in education. Organised by the Good Future Foundation, the session saw more than 40 educators, including Stoke-on-Trent South MP Allison Gardner, explore how AI can enhance teaching and learning. Gardner emphasised the government’s belief that AI represents a ‘generational opportunity’ for education in the UK.

The event highlighted both the promise and the challenges of integrating AI into UK schools. Attendees shared ideas on using AI to improve communication, particularly with families who speak English as an additional language, and to streamline access to school resources through automated chatbots. While the potential benefits are clear, many teachers expressed concerns about the risks associated with new technology.

Daniel Emmerson, executive director of the Good Future Foundation, stressed the importance of supporting educators in understanding and implementing AI. He explained that AI can help prepare students for a future dominated by this technology. Meanwhile, schools like Belgrave St Bartholomew’s Academy are already leading the way in using AI to improve lessons and prepare students for the opportunities AI will bring.

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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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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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OpenAI launches responses API for AI agent development

OpenAI has unveiled new tools to help developers and businesses build AI agents, which are automated systems that can independently perform tasks. These tools are part of OpenAI’s new Responses API, allowing enterprises to create custom AI agents that can search the web, navigate websites, and scan company files, similar to OpenAI’s existing Operator product. The company plans to phase out its older Assistants API by 2026, replacing it with the new capabilities.

The Responses API provides developers with access to powerful AI models, such as GPT-4o search and GPT-4o mini search, which are designed for high factual accuracy. OpenAI claims these models can offer more reliable answers than previous versions, with GPT-4o search achieving a 90% accuracy rate. Additionally, the platform includes a file search feature to help companies quickly retrieve information from their databases. The CUA model, which automates tasks like data entry, is also available, allowing developers to automate workflows with more precision.

Despite its promise, OpenAI acknowledges that there are still challenges to address, such as AI hallucinations and occasional errors in task automation. However, the company continues to improve its models, and the introduction of the Agents SDK gives developers the tools they need to build, debug, and optimise AI agents. OpenAI’s goal is to move beyond demos and create impactful tools that will shape the future of AI in enterprise applications.

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AI will enhance, not replace, programmers, says IBM CEO

At the SXSW conference, IBM CEO Arvind Krishna addressed two key topics: global trade and the role of artificial intelligence in programming. Krishna expressed his belief that global trade remains vital for economic growth, citing the historical correlation between increased trade and GDP growth.

He also argued that embracing international talent through policies supporting immigration would benefit the US, allowing it to remain competitive in the global market.

Turning to AI, Krishna disagreed with predictions that AI would soon take over coding entirely. Instead, he believes AI will increase programmer productivity by assisting with simpler tasks, allowing developers to focus on more complex problems.

He argued that AI could boost the output of existing teams, helping companies gain market share by enabling faster production and more efficient workflows.

While AI may revolutionise some aspects of work, Krishna maintained that it won’t replace human workers entirely. Drawing a parallel with the initial fears surrounding calculators and Photoshop, he described AI as a tool that enhances rather than replaces human expertise.

His comments come amid growing discussions about the future role of AI in various industries, including programming. Krishna also acknowledged the ongoing challenges in AI, such as intellectual property concerns and the need for energy-efficient models.

Krishna further stated that while AI would become cheaper and more accessible, it would not be the key to groundbreaking scientific discoveries. Instead, he emphasised the potential of quantum computing to accelerate innovation, with IBM’s ongoing investments in the technology.

His remarks highlighted both the promise and the limitations of AI, positioning it as an important tool in advancing industries but not a solution to all challenges.

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Elea introduces AI-powered solution for pathology labs

Elea, a Hamburg-based startup, is harnessing the power of AI to tackle inefficiencies in healthcare, starting with pathology labs.

The company’s AI operating system replaces outdated systems, offering a voice-powered solution that automates tasks such as report transcription and data handling.

Elea’s tool promises to significantly reduce the time it takes for labs to generate reports, with initial results showing a reduction from weeks to just a few days.

The AI system is designed to integrate seamlessly into existing lab processes, acting as an all-in-one solution that coordinates tasks traditionally managed by separate systems.

Elea’s cloud-based platform uses speech-to-text and text-to-structure technologies to automate everything from report writing to handling laboratory equipment, streamlining operations and reducing human error.

Founded in 2024, Elea has already secured a partnership with a major German hospital group, and it plans to expand internationally, particularly into the US The company recently raised €4 million in seed funding to support its growth.

Elea is betting on a gradual scaling strategy, aiming to improve productivity in pathology labs before potentially expanding its AI tools to other areas of healthcare, such as radiology.

Despite potential challenges, including accuracy concerns and data privacy, Elea is confident in its ability to revolutionise lab work.

By focusing on operational workflows, the German company hopes to improve both the speed and reliability of healthcare services, offering a glimpse into the future of AI in the medical field.

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