DeepSeek teases next big AI model

Chinese AI startup DeepSeek has introduced a new reasoning method aimed at enhancing the performance of large language models (LLMs).

The approach, developed in partnership with researchers from Tsinghua University, combines generative reward modelling (GRM) and self-principled tuning to improve the speed and quality of LLM outputs.

According to a recently published paper, the resulting DeepSeek-GRM models achieved competitive results, even outperforming public reward models in some instances. Although DeepSeek has expressed plans to open-source the GRM models, no release date has been confirmed.

The announcement comes amid growing speculation about DeepSeek’s next major release. The company gained global recognition earlier this year with its R1 reasoning model, which outperformed some older models like the original ChatGPT.

The R1’s success was notable not just for its performance but also for being open source and developed on a relatively modest budget. Industry observers believe DeepSeek is preparing to unveil the R2 model soon, possibly by the end of the month, though the company has declined to comment officially.

Founded in Hangzhou in 2023 by entrepreneur Liang Wenfeng, DeepSeek has prioritised research over public relations, quietly building momentum in the AI sector.

The company recently showcased DeepSeek-V3-0324, an upgraded model with improved reasoning, better web development capabilities and enhanced Chinese writing. DeepSeek has also made parts of its codebase available to the public, signalling a commitment to open development.

Backed by High-Flyer Quant, Liang’s hedge fund, the startup is emerging as a serious contender in the global AI race, drawing praise from the president of China, Xi Jinping, for its innovation and strategic significance.

For more information on these topics, visit diplomacy.edu.

Microsoft at 50 – A journey through code, cloud, and AI

The start of a software empire

Microsoft, the American tech giant, was founded 50 years ago, on 4 April 1975, by Harvard dropout Bill Gates and his childhood friend Paul Allen. Since then, the company has evolved from a small startup into the world’s largest software company.

Its early success can be traced back to a pivotal deal in 1975 involving the Altair computer, which inspired the pair to launch the business officially.

That same drive for innovation would later secure Microsoft a breakthrough in 1980 when it partnered with IBM. A collaboration that was supplying the DOS operating system for IBM PCs, a move that turned Microsoft into a household name.

In 1986, Microsoft went public at $21 per share, according to the NASDAQ.  A year later, Gates popped up on the billionaire list, the youngest ever to hold the status at the time, at 31 years old.

Microsoft expands its empire

Throughout the 1980s and 1990s, Microsoft’s dominance in the software industry grew rapidly, particularly with the introduction of Windows 3.0 in 1990, which sold over 60 million copies and solidified the company’s control over the PC software market.

Microsoft, founded 50 years ago by Bill Gates and Paul Allen, evolved from a small startup to the world’s largest software company, revolutionising the tech landscape.

Over the decades, Microsoft has diversified its portfolio far beyond operating systems. Its Productivity and Business Processes division now includes the ever-popular Office Suite, which caters to both commercial and consumer markets, and the business-focused LinkedIn platform.

Equally significant is Microsoft’s Intelligent Cloud segment, led by its Azure Cloud Services, now the second-largest cloud platform globally, which has transformed the way businesses manage computing infrastructure.

The strategic pivot into cloud computing has been complemented by a range of other products, including SQL Server, Windows Server, and Visual Studio.

The giant under scrutiny

The company’s journey has not been without challenges. Its rapid rise in the 1990s attracted regulatory scrutiny, leading to high-profile antitrust cases and significant fines in both the USA and Europe.

Triggered by concerns over Microsoft’s growing dominance in the personal computer market, US regulators launched a series of investigations into whether the company was actively working to stifle competition.

The initial Federal Trade Commission probe was soon picked up by the Department of Justice, which filed formal charges in 1998. At the heart of the case was Microsoft’s practice of bundling its software, mainly Internet Explorer, with the Windows operating system.

 Flag, American Flag

Critics argued that this not only marginalised competitors like Netscape, but also made it difficult for users to install or even access alternative programs.

From Bill Gates to Satya Nadella

Despite these setbacks, Microsoft has continually adapted to the evolving technological landscape. When Steve Ballmer became CEO in 2000, some doubted his leadership, yet Microsoft maintained its stronghold in both business and personal computing.

In the early 2000s, the company overhauled its operating systems under the codename Project Longhorn.

The initiative led to the release of Windows Vista in 2007, which received mixed reactions. However, Windows 7 in 2009 helped Microsoft regain favour, while subsequent updates like Windows 8 and 8.1 aimed to modernise the user experience, especially on tablets.

The transition from Bill Gates to Steve Ballmer, and later to Satya Nadella in 2014, marked a new era of leadership that saw the company’s market capitalisation soar and its focus shift to cloud computing and AI.

A man in a suit and tie

Under Nadella’s stewardship, Microsoft has invested heavily in AI, including a notable $1 billion investment in OpenAI in 2019.

The strategic move, alongside the integration of AI features across its software ecosystem, from Microsoft 365 to Bing and Windows, signals the company’s determination to remain at the forefront of technological innovation.

Microsoft’s push for innovation through major acquisitions and investments

Microsoft has consistently demonstrated its commitment to expanding its technological capabilities and market reach through strategic acquisitions.

In 2011, Microsoft made headlines with its $8.5 billion acquisition of Skype, a move intended to rival Apple’s FaceTime and Google Voice by integrating Skype across Microsoft platforms like Outlook and Xbox.

 Airport, Terminal, Sign, Symbol, Airport Terminal, Text

Other strategic acquisitions played a significant role in Microsoft’s evolution. The company purchased LinkedIn, Skype, GitHub and Mojang, the studios behind Minecraft. In recent years, the company has made notable investments in key sectors, including cloud infrastructure, cybersecurity, ΑΙ, and gaming.

One of the most significant acquisitions was Inflection AI in 2024. This deal bolstered Microsoft’s efforts to integrate AI into everyday applications. Personal AI tools, essential for both consumers and businesses, enhance productivity and personalisation.

The acquisition strengthens Microsoft’s position in conversational AI, benefiting platforms such as Microsoft 365, Azure AI, and OpenAI’s ChatGPT, which Microsoft heavily supports.

By enhancing its capabilities in natural language processing and user interaction, this acquisition allows Microsoft to offer more intuitive and personalised AI solutions, helping it compete with companies like Google and Meta.

Microsoft acquires Fungible and Lumenisity for cloud innovation

In a strategic push to enhance its cloud infrastructure, Microsoft has made notable acquisitions in recent years, including Fungible and Lumenisity.

In January 2023, Microsoft acquired Fungible for $190 million. Fungible specialises in data processing units (DPUs), which are crucial for optimising tasks like network routing, security, and workload management.

By integrating Fungible’s technology, Microsoft enhances the operational efficiency of its Azure data centres, cutting costs and energy consumption while offering more cost-effective solutions to enterprise customers. This move positions Microsoft to capitalise on the growing demand for robust cloud services.

Similarly, in December 2022, Microsoft acquired Lumenisity, a company known for its advanced fibre optic technology. Lumenisity’s innovations boost network speed and efficiency, making it ideal for handling high volumes of data traffic.

azure

The move has strengthened Azure’s network infrastructure, improving data transfer speeds and reducing latency, particularly important for areas like the Internet of Things (IoT) and AI-driven workloads that require reliable, high-performance connectivity.

Together, these acquisitions reflect Microsoft’s ongoing commitment to innovation in cloud services and technology infrastructure.

Microsoft expands cybersecurity capabilities with Miburo acquisition

Microsoft has also announced its agreement to acquire Miburo, a leading expert in cyber intelligence and foreign threat analysis. This acquisition further strengthens Microsoft’s commitment to enhancing its cybersecurity solutions and threat detection capabilities.

Miburo, known for its expertise in identifying state-sponsored cyber threats and disinformation campaigns, will be integrated into Microsoft’s Customer Security and Trust organisation.

The acquisition will bolster Microsoft’s existing threat detection platforms, enabling the company to better address emerging cyber threats and state-sanctioned information operations.

Miburo’s analysts will work closely with Microsoft’s Threat Intelligence Center, data scientists, and other security teams to expand the company’s ability to counter complex cyber-attacks and the use of information operations by foreign actors.

 Sphere, Ball, Football, Soccer, Soccer Ball, Sport, Text, Photography

Miburo’s mission to protect democracies and ensure the integrity of information environments aligns closely with Microsoft’s goals of safeguarding its customers against malign influences and extremism.

A strategic move that further solidifies Microsoft’s position as a leader in cybersecurity and reinforces its ongoing investment in addressing evolving global security challenges.

Microsoft’s $68.7 billion Activision Blizzard acquisition boosts gaming and the metaverse

Perhaps the most ambitious acquisition in recent years was Activision Blizzard, which Microsoft acquired for $68.7 billion in 2022.

A close up of a device

With this purchase, Microsoft significantly expanded its presence in the gaming industry, integrating popular franchises like Call of Duty, World of Warcraft, and Candy Crush into its Xbox ecosystem.

The acquisition not only enhances Xbox’s competitiveness against Sony’s PlayStation but also positions Microsoft as a leader in the metaverse, using gaming as a gateway to immersive digital experiences.

This deal reflects the broader transformation in the gaming industry driven by cloud gaming, virtual reality, and blockchain technology.

A greener future: Microsoft’s sustainability goals

Another crucial element of the company’s business strategy is its dedication to sustainability, which will serve as the foundation of its operations and future objectives.

Microsoft has set ambitious targets to become carbon negative and water positive and achieve zero waste by 2030 while protecting ecosystems.

With a vast global presence spanning over 60 data centre regions, Microsoft leverages its cloud computing infrastructure to optimise both performance and sustainability.

The company’s approach focuses on integrating efficiency into every aspect of its infrastructure, from data centres to custom-built servers and silicon.

A key strategy in Microsoft’s sustainability efforts is its Power Purchase Agreements (PPAs), which aim to bring more carbon-free electricity to the grids where the company operates.

By securing over 34 gigawatts of renewable energy across 24 countries, Microsoft is not only advancing its own sustainability goals but also supporting the global transition to clean energy.

Microsoft plans major investment in AI infrastructure

Microsoft has also announced plans to invest $80 billion in building data centres designed to support AI workloads by the end of 2025. A significant portion of this investment, more than half, will be directed towards the USA.

As AI technology continues to grow, Microsoft’s spending includes billions on Nvidia graphics processing units (GPUs) to train AI models.

The rapid rise of OpenAI’s ChatGPT, launched in late 2022, has sparked a race among tech companies to develop their own generative AI models.

openai GPT

Having invested more than $13 billion in OpenAI, Microsoft has integrated its AI models into popular products such as Windows and Teams, while also expanding its cloud services through Azure.

Microsoft’s growth strategy shapes the future of tech innovation

All these acquisitions and investments reflect a cohesive strategy aimed at enhancing Microsoft’s leadership in key technology areas.

From AI and gaming to cybersecurity and cloud infrastructure, the company is positioning itself at the forefront of digital transformation. However, while these deals present significant growth opportunities, they also pose challenges.

Ensuring successful integration, managing regulatory scrutiny, and creating synergies between acquired entities will be key to Microsoft’s long-term success. In conclusion, Microsoft’s strategy highlights its dedication to innovation and technology leadership.

From its humble beginnings converting BASIC for Altair to its current status as a leader in cloud and AI, Microsoft’s story is one of constant reinvention and enduring influence in the digital age.

By diversifying across multiple sectors, including gaming, cloud computing, AI, and cybersecurity, the company is building a robust foundation for future growth.

A digital business model that not only reinforces Microsoft’s market position but also plays a vital role in shaping the future of technology.

For more information on these topics, visit diplomacy.edu.

OpenAI’s Sam Altman responds to Miyazaki’s AI animation concerns

The recent viral trend of AI-generated Ghibli-style images has taken the internet by storm. Using OpenAI’s GPT-4o image generator, users have been transforming photos, from historic moments to everyday scenes, into Studio Ghibli-style renditions.

A trend like this has caught the attention of notable figures, including celebrities and political personalities, sparking both excitement and controversy.

While some praise the trend for democratising art, others argue that it infringes on copyright and undermines the efforts of traditional artists. The debate intensified when Hayao Miyazaki, the co-founder of Studio Ghibli, became a focal point.

In a 2016 documentary, Miyazaki expressed his disdain for AI in animation, calling it ‘an insult to life itself’ and warning that humanity is losing faith in its creativity.

OpenAI’s CEO, Sam Altman, recently addressed these concerns, acknowledging the challenges posed by AI in art but defending its role in broadening access to creative tools. Altman believes that technology empowers more people to contribute, benefiting society as a whole, even if it complicates the art world.

Miyazaki’s comments and Altman’s response highlight a growing divide in the conversation about AI and creativity. As the debate continues, the future of AI in art remains a contentious issue, balancing innovation with respect for traditional artistic practices.

For more information on these topics, visit diplomacy.edu.

Google blends AI mode with Lens

Google is enhancing its experimental AI Mode by combining the visual power of Google Lens with the conversational intelligence of Gemini, offering users a more dynamic way to search.

Instead of typing queries alone, users can now upload photos or take snapshots with their smartphone to receive more insightful answers.

The new feature moves beyond traditional reverse image search. For instance, you could snap a photo of a mystery kitchen tool and ask, ‘What is this, and how do I use it?’, receiving not only a helpful explanation but links to buy it and even video demonstrations.

Rather than focusing on a single object, AI Mode can interpret entire scenes, offering context-aware suggestions.

Take a photo of a bookshelf, a meal, or even a cluttered drawer, and AI Mode will identify items and describe how they relate to each other. It might suggest recipes using the ingredients shown, help identify a misplaced phone charger, or recommend the order to read your books.

Behind the scenes, the system runs multiple AI agents to analyse each element, providing layered, tailored responses.

Although other platforms like ChatGPT also support image recognition, Google’s strength lies in its decades of search data and visual indexing. Currently, the feature is accessible to Google One AI Premium subscribers or those enrolled in Search Labs via the Google mobile app.

For more information on these topics, visit diplomacy.edu.

OpenAI negotiates $500m deal for AI startup

OpenAI is reportedly in talks to acquire io Products, an AI hardware startup co-founded by former Apple design chief Jony Ive and OpenAI CEO Sam Altman, in a deal that could exceed $500 million.

Instead of focusing solely on software like ChatGPT and API tools, OpenAI appears to be eyeing consumer devices as a way to diversify its revenue.

io Products is said to be working on AI-powered consumer tech, including a screenless smartphone and smart home gadgets.

The company’s team includes several former Apple designers, such as Tang Tan and Evans Hankey. Instead of traditional screens, these new devices are expected to explore more ambient and context-aware ways of interaction.

Jony Ive, best known for his role in designing iconic Apple products like the iPhone and iMac, left Apple in 2019 to launch his design consultancy, LoveFrom.

His collaboration with Altman on io Products was publicly confirmed last year and has already drawn interest from high-profile backers, including Laurene Powell Jobs. Funding for the startup was projected to reach $1 billion by the end of 2024.

The move echoes Altman’s previous investments in AI hardware, such as Humane Inc., a wearable tech startup that also focused on screenless interaction. Instead of scaling that venture, however, HP acquired some of Humane’s assets for $166 million earlier this year.

OpenAI’s potential acquisition of io Products could mark a significant shift toward physical consumer products in the AI space.

For more information on these topics, visit diplomacy.edu.

Anthropic grows its presence in Europe

Anthropic is expanding its operations across Europe, with plans to add over 100 new roles in sales, engineering, research, and business operations. Most of these positions will be based in Dublin and London.

The company has also appointed Guillaume Princen, a former Stripe executive, as its head for Europe, the Middle East, and Africa. This move signals Anthropic’s ambition to strengthen its global presence, particularly in Europe where the demand for enterprise-ready AI tools is rising.

The company’s hiring strategy also reflects a wider trend within the AI industry, with firms like Anthropic competing for global market share after securing significant funding.

The recent $3.5 billion funding round bolsters Anthropic’s position as it seeks to lead the AI race across multiple regions, including the Americas, Europe, and Asia.

Instead of focusing solely on the US, Anthropic’s European push is designed to comply with local AI governance and regulatory standards, which are increasingly important to businesses operating in the region.

Anthropic’s expansion comes at a time when AI firms are facing growing competition from companies like Cohere, which has been positioning itself as a European-compliant alternative.

As the EU continues to shape global AI regulations, Anthropic’s focus on safety and localisation could position it favourably in these highly regulated markets. Analysts suggest that while the US may remain a less regulated environment for AI, the EU is likely to lead global AI policy development in the near future.

For more information on these topics, visit diplomacy.edu.

Meta faces backlash over Llama 4 release

Over the weekend, Meta unveiled two new Llama 4 models—Scout, a smaller version, and Maverick, a mid-sized variant it claims outperforms OpenAI’s GPT-4o and Google’s Gemini 2.0 Flash across multiple benchmarks.

Maverick quickly climbed to second place on LMArena, an AI benchmarking platform where human evaluators compare and vote on model outputs. Meta proudly pointed to Maverick’s ELO score of 1417, placing it just beneath Gemini 2.5 Pro, instead of trailing behind the usual leaders.

However, AI researchers noticed a critical detail buried in Meta’s documentation: the version of Maverick that ranked so highly wasn’t the one released to the public. Instead of using the standard model, Meta had submitted an ‘experimental’ version specifically optimised for conversations.

LMArena later criticised this move, saying Meta failed to clearly indicate the model was customised, prompting the platform to update its policies to ensure future evaluations remain fair and reproducible.

Meta’s spokesperson acknowledged the use of experimental variants, insisting the company frequently tests different configurations.

While this wasn’t a violation of LMArena’s existing rules, the episode raised concerns about the credibility of benchmark rankings when companies submit fine-tuned models instead of the ones accessible to the wider community.

Independent AI researcher Simon Willison expressed frustration, saying the impressive ranking lost all meaning once it became clear the public couldn’t even use the same version.

The controversy unfolded against a backdrop of mounting competition in open-weight AI, with Meta under pressure following high-profile releases like China’s DeepSeek model.

Instead of offering a smooth rollout, Meta released Llama 4 on a Saturday—an unusual move—which CEO Mark Zuckerberg explained simply as ‘that’s when it was ready.’ But for many in the AI space, the launch has only deepened confusion around what these models can genuinely deliver.

For more information on these topics, visit diplomacy.edu.

Llama 4 Maverick and Scout challenge top AI benchmarks

Meta has officially launched two of its new Llama 4 AI models, Maverick and Scout, following reported delays earlier in the year.

The release forms part of Meta’s wider ambition to build and open-source the world’s most powerful AI systems. Llama 4 Behemoth, another model announced alongside them, has yet to become available.

The newly released models go head-to-head with Google’s latest AI offerings. According to Meta, Llama 4 Maverick surpasses Gemini 2.0 (Flash) in benchmarks such as coding, reasoning, and image tasks, while Llama 4 Scout outperforms both Gemini 2.0 Flash Lite and Gemma 3 in summarisation and code analysis.

Google CEO Sundar Pichai offered unexpected congratulations to the Llama 4 team on social media, reflecting the high-profile nature of the launch.

Llama 4 Maverick features 17 billion active parameters and 128 experts, making it a versatile choice for general-purpose AI assistants and creative tasks.

Llama 4 Scout shares the same number of active parameters but with a leaner expert setup, tailored for more focused tasks like document summarisation and code reasoning. Meta plans to release additional advanced models, including Llama Behemoth and Llama Reasoning, in the near future.

For more information on these topics, visit diplomacy.edu.

Digital Morocco 2030 strategy focuses on tech-driven transformation

Morocco has set ambitious goals to boost its economy through investment in emerging technologies, aiming for a 10% increase in GDP by 2030. As part of its Digital Morocco 2030 strategy, the government is committing over 11 billion dirhams ($1.1 billion) by 2026 to drive digital transformation, create more than 240,000 jobs, and train 100,000 young people annually in digital skills.

The roadmap prioritises digitising government services through a Unified Administrative Services Portal, with the long-term goal of placing Morocco among the world’s top 50 tech nations. Blockchain plays a central role in this vision, being adopted to improve transparency and efficiency in public services, and already undergoing trials in private sectors like healthcare and finance.

Despite an ongoing official ban, digital asset ownership has surged, more than six million Moroccans now hold such assets, representing over 15% of the population. In parallel, the country is rapidly expanding its use of AI. Notably, Morocco has introduced AI into its judiciary, launched an AI-powered university learning system, and trained over 1,000 small- and medium-sized businesses in AI adoption through partnerships with LinkedIn and the European Bank for Reconstruction and Development.

For more information on these topics, visit diplomacy.edu.

Scientists achieve breakthrough in quantum computing stability

A new study by researchers from the University of Oxford, Delft University of Technology, Eindhoven University of Technology, and Quantum Machines has made a major step forward in quantum computing.

The team has found a way to make Majorana zero modes (MZMs)—special particles crucial for quantum computers—far more stable, bringing us closer to building error-free, scalable machines.

Quantum computers are incredibly powerful but face a key challenge: their basic units, qubits, are highly fragile and easily disrupted by environmental noise.

MZMs have long been seen as a potential solution because they are predicted to resist such disturbances, but stabilising them for practical use has been difficult until now.

The researchers created a structure called a three-site Kitaev chain, which is a simplified version of a topological superconductor.

By using quantum dots to trap electrons and connecting them with superconducting wires, they created a stable ‘sweet spot’ where MZMs could be farther apart, reducing interference and enhancing their stability.

Lead author Dr. Greg Mazur believes this breakthrough shows that it is possible to keep MZMs stable as quantum systems grow. With further research, the team aims to build longer chains to improve stability even more, potentially opening the door to reliable, next-generation quantum materials and devices.

For more information on these topics, visit diplomacy.edu.