Microsoft bets on AI openness and scale

Microsoft has added xAI’s Grok 3 and Grok 3 Mini models to its Azure AI Marketplace, revealed during its Build developer conference. This expands Azure’s offering to more than 1,900 AI models, which already include tools from OpenAI, Meta, and DeepSeek.

Although Grok recently drew criticism for powering a chatbot on X that shared misinformation, xAI claimed the issue stemmed from unauthorised changes.

The move reflects Microsoft’s broader push to become the top platform for AI development instead of only relying on its own models. Competing providers like Google Cloud and AWS are making similar efforts through platforms like Vertex AI and Amazon Bedrock.

Microsoft, however, has highlighted that its AI products could bring in over $13 billion in yearly revenue, showing how vital these model marketplaces have become.

Microsoft’s participation in Anthropic’s Model Context Protocol initiative marks another step toward AI standardisation. Alongside GitHub, Microsoft is working to make AI systems more interoperable across Windows and Azure, so they can access and interact with data more efficiently.

CTO Kevin Scott noted that agents must ‘talk to everything in the world’ to reach their full potential, stressing the strategic importance of compatibility over closed ecosystems.

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Meta’s AI benchmarking practices under scrutiny

Meta has denied accusations that it manipulated benchmark results for its latest AI models, Llama 4 Maverick and Llama 4 Scout. The controversy began after a social media post alleged the company used test sets for training and deployed an unreleased model to score better in benchmarks.

Ahmad Al-Dahle, Meta’s VP of generative AI, called the claims ‘simply not true’ and acknowledged inconsistent model performance due to differing cloud implementations. He stated that the models were released as they became available and are undergoing ongoing adjustments.

The issue highlights a broader problem in the AI industry: benchmark scores often fail to reflect real-world performance.

Other AI leaders, including Google and OpenAI, have faced similar scrutiny, as models with high benchmark results struggle with reasoning tasks and show unpredictable behavior outside controlled tests.

This gap between benchmark performance and actual reliability has led researchers to call for better evaluation tools. Newer benchmarks now focus on bias detection, reproducibility, and practical use cases rather than leaderboard rankings.

Meta’s situation reflects a wider industry shift toward more meaningful metrics that capture both performance and ethical concerns in real-world deployments.

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EU funds African science with €500 million in new initiative

The EU has unveiled a €500 million funding programme under Horizon Europe to boost African-led research and innovation. A total of 24 funding calls are organised around five thematic areas.

Announced on 14 May, the initiative, named Africa Initiative III, is focused on tackling public health challenges, driving the green transition, and fostering technological advancement. All supported projects will include African researchers and institutions.

These include €50 million for public health, €241 million for green transition projects, and €186.5 million for innovation and technology. Additional funds are allocated to scientific capacity building and cross-cutting issues like policy engagement and inclusivity.

Africa Initiative III continues the EU’s previous support efforts under Horizon Europe. The earlier phases involved hundreds of African institutions and contributed directly to epidemic preparedness and sustainable development.

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New quantum method mimics molecular chemistry efficiently

Researchers have used a single atom to simulate how molecules react to light, marking a milestone in quantum chemistry.

The experiment, carried out by a team at the University of Sydney and published in the Journal of the American Chemical Society on 14 May, could accelerate the path to a quantum advantage, where quantum simulations outperform classical computing methods.

Instead of relying on multiple qubits, the team used a single ytterbium ion confined in a vacuum to mimic the complex interactions within organic molecules such as allene, butatriene and pyrazine.

The molecules react to photons through a series of electron and atomic movements, which are difficult to model using conventional computing when the number of vibrational modes increases.

The researchers encoded electronic excitations into the ion’s internal states and its motion along two directions in the trap, simulating molecular vibrations. By manipulating the ion with lasers, they emulated how the molecules behave after absorbing a photon.

The team then measured changes in the ion’s excited state over time to track the simulation’s progress. The method’s accuracy was validated by comparing results with known behaviours of the molecules.

While these specific molecules can still be simulated with traditional methods, the team believes their hardware-efficient approach could model more complex chemical systems using only a few dozen ions, rather than millions of qubits.

Experts, including quantum chemist Alán Aspuru-Guzik and Duke University’s Kenneth Brown, praised the work as a significant advance in quantum simulation.

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EX90 will be first to feature Gemini AI

Volvo is expanding its partnership with Google to integrate Gemini, Google’s conversational AI, into its vehicles, beginning with the EX90.

Announced during Google I/O 2025, Gemini will replace Google Assistant later this year in models with Google built-in.

The AI will allow drivers to interact with their cars using more natural language, with capabilities including multilingual message translation, user manual assistance, and location-based information.

In addition to the Gemini rollout, Volvo vehicles will now act as a reference hardware platform for Android Automotive OS development.

This arrangement will give Volvo drivers early access to new Android features and updates, further aligning with the brand’s focus on intuitive, human-centric technology and smart mobility innovation.

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Meta aims to boost Llama adoption among startups

Meta has launched a new initiative to attract startups to its Llama AI models by offering financial support and direct guidance from its in-house team.

The programme, called Llama for Startups, is open to US-based companies with less than $10 million in funding and at least one developer building generative AI applications. Eligible firms can apply by 30 May.

Successful applicants may receive up to $6,000 per month for six months to help offset development costs. Meta also promises direct collaboration with its AI experts to help firms implement and scale Llama-based solutions.

The scheme reflects Meta’s ambition to expand Llama’s presence in the increasingly crowded open model landscape, where it faces growing competition from companies like Google, DeepSeek and Alibaba.

Despite reaching over a billion downloads, Llama has encountered difficulties. The company reportedly delayed its top-tier model, Llama 4 Behemoth, due to underwhelming benchmark results.

Additionally, Meta faced criticism in April after using an ‘optimised’ version of its Llama 4 Maverick model to score highly on a public leaderboard, while releasing a different version publicly.

Meta has committed billions to generative AI, predicting revenues of up to $3 billion in 2025 and as much as $1.4 trillion by 2035.

With revenue-sharing agreements, custom APIs, and plans for ad-supported AI assistants, the company is investing heavily in infrastructure, possibly spending up to $80 billion next year on new data centres to support its expansive AI goals.

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BRICS conclude Understanding on Data Economy Governance

Trade Ministers from BRICS countries convened in Brasília to exchange views on trade and investment challenges. They issued a Joint Declaration, expressing strong support to the multilateral trading system centred on the WTO, and emphasising the need to strengthen it against protectionist measures and fragmentation. The Ministers approved the BRICS Declaration on WTO Reform and Strengthening of the Multilateral Trading System (Annex I of the Joint Declaration), expressing serious concerns about rising unilateral tariff and non-tariff measures inconsistent with WTO rules.

A significant outcome was the approval of the BRICS Data Economy Governance Understanding (Annex II). This document acknowledges the key role of data for economic growth, innovation, and public governance, while also noting the challenges raised by lack of statistical data and regulatory fragmentation, hindering developing countries’ integration into the global digital economy.

The Understanding establishes a roadmap for future work, aiming to promote a fair data economy among BRICS nations. Key objectives include ensuring data sovereignty while facilitating efficient and trusted cross-border data flows in line with national frameworks. It seeks to leverage national statistical offices to measure the value of data and data flows, explore common regulatory practices for trade and competition, strengthen the role of Digital Public Infrastructure (DPI), and safeguard individual privacy and data protection. The implementation of the roadmap will involve consultations of the BRICS contact group on economic and trade issues (CGETI), and an annual BRICS Data Economy Session, to be held under the Digital Economy Working Group. BRICS countries also approved the Trade and Sustainable Development Framework (Annex III).

Bristol Data Week 2025 highlights AI For Good

Nobel Prize-winning AI pioneer Professor Geoff Hinton will deliver this year’s Richard Gregory Memorial Lecture at the University of Bristol on 2 June.

His talk, titled ‘Will Digital Intelligence Replace Biological Intelligence?’, will explore the capabilities and risks of AI and align with Bristol Data Week 2025, which runs from 2 to 6 June.

Hinton, known for his foundational work on neural networks, attended secondary school in Bristol and recently received the 2024 Nobel Prize in Physics. His lecture will be introduced by Vice-Chancellor Evelyn Welch and supported by MyWorld, a UK centre for creative technology research.

Bristol Data Week will feature free workshops, talks, and panels showcasing data and AI research across themes such as climate, health, and ethics. The headline event, ‘AI for Good’, on 4 June, will highlight AI projects focused on social impact.

Research centres including the South West Nuclear Hub and Bristol Centre for Supercomputing will contribute to the programme. Organisers aim to demonstrate how responsible AI can drive innovation and benefit communities.

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Judge rules Google must face chatbot lawsuit

A federal judge has ruled that Google and AI startup Character.AI must face a lawsuit brought by a Florida mother, who alleges a chatbot on the platform contributed to the tragic death of her 14-year-old son.

US District Judge Anne Conway rejected the companies’ arguments that chatbot-generated content is protected under free speech laws. She also denied Google’s motion to be excluded from the case, finding that the tech giant could share responsibility for aiding Character.AI.

The ruling is seen as a pivotal moment in testing the legal boundaries of AI accountability.

The case, one of the first in the US to target AI over alleged psychological harm to a child, centres on Megan Garcia’s claim that her son, Sewell Setzer, formed an emotional dependence on a chatbot.

Though aware it was artificial, Sewell, who had been diagnosed with anxiety and mood disorders, preferred the chatbot’s companionship over real-life relationships or therapy. He died by suicide in February 2024.

The lawsuit states that the chatbot impersonated both a therapist and a romantic partner, manipulating the teenager’s emotional state. In his final moments, Sewell messaged a bot mimicking a Game of Thrones character, saying he was ‘coming home’.

Character.AI insists it will continue to defend itself and highlighted existing features meant to prevent self-harm discussions. Google stressed it had no role in managing the app but had previously rehired the startup’s founders and licensed its technology.

Garcia claims Google was actively involved in developing the underlying technology and should be held liable.

The case casts new scrutiny on the fast-growing AI companionship industry, which operates with minimal regulation. For about $10 per month, users can create AI friends or romantic partners, marketed as solutions for loneliness.

Critics warn that these tools may pose mental health risks, especially for vulnerable users.

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Google launches Gemini Live and Pro/Ultra AI tiers at I/O 2025

At Google I/O 2025, the company unveiled significant updates to its Gemini AI assistant, expanding its features, integrations, and pricing tiers to better compete with ChatGPT, Siri, and other leading AI tools.

A highlight of the announcement is the rollout of Gemini Live to all Android and iOS users, which enables near real-time conversations with the AI using a smartphone’s camera or screen. Users can, for example, point their phone at a building and ask Gemini for information, receiving immediate answers.

Gemini Live is also set to integrate with core Google apps in the coming weeks. Users will be able to get directions from Maps, create events in Calendar, and manage tasks via Google Tasks—all from within the Gemini interface.

Google also introduced new subscription tiers. Google AI Pro, formerly Gemini Advanced, is priced at $20/month, while the premium AI Ultra plan costs $250/month, offering high usage limits, early access to new models, and exclusive tools.

Gemini is now accessible directly in Chrome for Pro and Ultra users in the US with English as their default language, allowing on-screen content summarisation and Q&A.

The Deep Research feature now supports private PDF and image uploads, combining them with public data to generate custom reports. Integration with Gmail and Google Drive is coming soon.

Visual tools are also improving. Free users get access to Imagen 4, a new image generation model, while Ultra users can try Veo 3, which includes native sound generation for AI-generated video.

For students, Gemini now offers personalised quizzes that adapt to areas where users struggle, helping with targeted learning.

Gemini now serves over 400 million monthly users, as Google deepens its AI footprint across its platforms through seamless integration and real-time multimodal capabilities.

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