In Short:
– Italy’s antitrust authority requires Meta to allow access to rival AI chatbots on WhatsApp during an investigation.
– Meta plans to appeal the ruling, claiming it disrupts their system and questioning WhatsApp’s role as an AI service platform.

Italy’s antitrust authority has ordered Meta to allow competing AI chatbots access to WhatsApp, suspending rules that blocked rivals. The decision comes amid concerns that Meta’s policies could limit competition and harm consumers in the rapidly growing AI services market. Meta plans to appeal, calling the ruling “fundamentally flawed” and arguing that WhatsApp wasn’t designed to support third-party AI chatbots.

The Italian Competition Authority began investigating Meta after its March 2025 launch of Meta AI on WhatsApp, later expanding the probe to cover updated business terms that excluded rival AI providers, such as ChatGPT, Microsoft Copilot, and Perplexity. The European Commission has launched a parallel investigation, highlighting growing regulatory scrutiny on tech giants in Europe.

Europe’s stricter stance on Big Tech has sparked pushback from the industry and political figures in the U.S., including former President Donald Trump. Meta maintains that its Business API restrictions still allow AI for customer support and order tracking, but says general-purpose chatbot distribution falls outside its intended use.

In Short:
– Chinese researchers set a world record, accelerating a test vehicle to 700 km/h in two seconds.
– This milestone positions China as a leader in ultra-high-speed maglev technology and future transport developments.

China has set a new world record in magnetic levitation technology after accelerating a ton-class superconducting maglev test vehicle to 700 kilometres per hour in just two seconds. The achievement, reported by state broadcaster CCTV, marks the fastest acceleration ever recorded for an electric maglev system and cements China’s position at the forefront of ultra-high-speed transport innovation.

The test was conducted by researchers at the National University of Defense Technology on a 400-metre track, where footage showed the vehicle flashing across the rail-like structure in a blur, leaving a misty trail behind it. The breakthrough follows more than a decade of research tackling complex challenges such as ultra-high-speed electromagnetic propulsion, electric suspension guidance systems, and high-field superconducting magnets, all of which are critical to stable travel at extreme speeds.

Hyperloop technology

Beyond headline-grabbing velocity, the milestone opens the door to future transport systems, including vacuum-tube maglev networks, commonly referred to as hyperloop technology. Scientists say the same advancements could also be applied to aerospace launch assistance, electromagnetic launch systems, and advanced experimental testing. According to Professor Li Jie from the National University of Defense Technology, the successful trial will significantly accelerate China’s research into frontier technologies, with future work focusing on pipeline-based high-speed transport and aerospace equipment testing.

While China now leads in superconducting maglev acceleration, global competition remains fierce. Japan still holds the record for the fastest manned train, with its L0 Series maglev reaching 603 kilometres per hour during testing in 2015. China, however, operates the world’s only commercial maglev service — the Shanghai Maglev — which currently runs at 300 kilometres per hour after its top speed was reduced from 431 kilometres per hour in 2021.

The December test builds on earlier progress made this year, including a 1.1-ton test sled that reached 650 kilometres per hour in seven seconds over a 600-metre track in June 2025. Together, these developments signal rapid momentum in China’s push toward next-generation transport systems that could redefine how people and payloads move across the planet.

In Short:
– Nvidia has signed a $20 billion deal with AI chip startup Groq to enhance its AI inference capabilities.
– Groq will remain independent while Nvidia acquires technology and talent, excluding Groq’s cloud business.

Nvidia has made waves in the AI world with a complex $20 billion agreement with AI chip startup Groq, marking the chip giant’s largest deal to date. Unlike a traditional acquisition, Nvidia will license Groq’s AI inference technology while hiring key executives, including founder Jonathan Ross and president Sunny Madra, as Groq continues to operate independently. This arrangement highlights a growing Silicon Valley trend in which major tech companies selectively acquire intellectual property and top talent without fully integrating startups.

While CNBC reported the deal’s $20 billion valuation, neither Nvidia nor Groq confirmed financial terms. Nvidia CEO Jensen Huang clarified that the company is “adding talented employees to our ranks and licensing Groq’s IP, but we are not acquiring Groq as a company.” Groq described the transaction as a “non-exclusive licensing agreement” for its inference technology. The startup’s cloud business will remain under the leadership of new CEO Simon Edwards, formerly Groq’s CFO.

Increasing competition

The deal strategically targets AI inference — the process where trained models respond to user queries — a sector where Nvidia faces increasing competition. Groq’s Language Processing Unit reportedly executes large language models ten times faster while consuming one-tenth the energy of traditional GPUs. With Jonathan Ross, who previously helped develop Google’s Tensor Processing Unit, joining Nvidia, the company strengthens its expertise across the AI stack. Huang confirmed plans to integrate Groq’s low-latency processors into Nvidia’s AI factory architecture, expanding its capabilities for real-time AI workloads.

This $20 billion deal eclipses Nvidia’s previous largest acquisition, the $6.9 billion purchase of Mellanox in 2019. Groq itself raised $750 million in September at a $6.9 billion valuation, with investors including BlackRock, Samsung, Cisco, and 1789 Capital. The arrangement also reflects a broader shift in Silicon Valley: companies like Google, Amazon, and Microsoft have increasingly opted for “acqui-hire” deals that license technology and recruit founders while leaving the original companies structurally intact.

With more than $60 billion in cash reserves, Nvidia is clearly doubling down on its aggressive expansion strategy across the AI ecosystem. By combining top-tier talent, breakthrough technology, and strategic IP licensing, Nvidia is positioning itself to dominate the AI inference market and maintain its leadership in the global AI race.