🎬 MidJourney Launches AI Video Generation Model V1 🚀
MidJourney has just unveiled its first-ever AI video generation model, V1, now available for public access! This groundbreaking model allows users to easily create AI-generated videos from simple text prompts, making it easier than ever to turn your ideas into visuals.
V1 is a major step forward in the evolution of AI tools, offering a user-friendly experience that blends simplicity with powerful capabilities. With this new feature, MidJourney is not just revolutionizing image generation but pushing the boundaries of what’s possible in visual storytelling.
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🌍 AI Literacy: The Next Core Subject? 📚
AI education is not a core subject yet, but countries like the UAE, China, and the U.S. are fast-tracking its integration into schools. From ethics to prompting skills, governments are setting the stage for AI to become a global essential. Will AI education become as foundational as math and science? The future of learning is about to change.
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🚨 BREAKING: Hong Kong just announced its AI education policy - but is it ahead, behind, or only just starting? 🇭🇰
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China’s AI frenzy has reached the public markets. MiniMax and Zhipu AI are set to raise over US $1 billion through dual listings in Hong Kong — one of the city’s biggest tech IPO waves in years.
The listings highlight Hong Kong’s comeback as a global tech hub, with AI and chip firms driving its strongest IPO year since 2017. They also reflect China’s push to build self-reliant AI infrastructure amid growing global competition and export limits.
With investors piling in and valuations climbing, Hong Kong is fast becoming the capital of Asia’s AI boom — where the next generation of model makers and AI innovators are stepping into the spotlight.
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Meta has agreed to acquire Manus, a Singapore-based AI startup specializing in autonomous AI agents, in a deal valued between $2–$3 billion. The acquisition marks one of Meta’s largest AI investments to date and continues its pattern of absorbing innovative startups to strengthen its technology stack. Manus’s agent-based systems are designed to reason, plan, and act independently — moving AI beyond chat responses toward tools that can execute real tasks with minimal human input.
While still early in adoption, AI agents are emerging as the next major frontier in the industry, promising to automate workflows and make AI more actionable in everyday work. By bringing Manus into its ecosystem, Meta signals its intent to transition from conversational AI to autonomous, action-driven experiences that could reshape how people interact with intelligent systems.
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Nvidia is making its boldest move yet with a reported $20 billion deal to bring Groq’s high-speed AI technology and top-tier talent under its wing. Groq’s Language Processing Units (LPUs) use a unique, deterministic architecture that delivers near-instantaneous AI responses, often clocking in at 10x the speed of traditional chips while using significantly less energy.
By structuring the deal as a non-exclusive licensing agreement and an "acqui-hire" of Groq’s core engineering team (including its founder, the creator of Google's TPU), Nvidia is effectively absorbing its most potent rival in the low-latency market while cleverly bypassing the typical 18-month antitrust review process.
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Are you ready for AI’s next chapter? Discover the technology trends you’ve missed in 2025 and how to prepare for 2026!
AI has transformed from fantasy to everyday reality, fundamentally reshaping meetings, classrooms, and our approach to work. With technology changing every week, many companies are pursuing full transformation. As we look ahead to 2026, the critical question is: how will you leverage AI?
Businesses that integrate AI into their strategies will thrive, while professionals who craft their AI agents will stand out. Students will learn smarter with AI. ^By 2030, 39% of core worker skills will change.
Don’t let your skills stay in 2025. Make “Be AI-ready” be one of your new year resolutions!
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^Data retrieved from the Future of Jobs Report 2025, World Economic Forum
Alphabet has agreed to acquire Intersect Power for $4.75 billion, marking the first time a major tech company has bought a renewable energy developer outright.
The deal gives Google direct access to more electricity for its expanding data centers, as U.S. grids struggle to meet surging energy demand from AI. By owning its own energy generation, Google can expand capacity faster and operate more nimbly when building new power projects.
Data centers have become the most critical asset in the AI race — the infrastructure that determines how quickly companies can train and deploy advanced models. This acquisition reinforces Google’s long-term commitment to powering its AI growth with clean, sustainable energy, showing that the future of AI leadership depends as much on energy as it does on algorithms.
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The AI race between Google and OpenAI has leveled up! Now, it’s Gemini’s turn. Google released Gemini 3 Flash, positioning it as a 'fast and cost-effective' model and immediately making it the default in the Gemini app and Google’s AI Mode in Search, replacing Gemini 2.5 Flash.
The model is priced at $0.50 per 1M input tokens and $3.00 per 1M output tokens. Google argues that overall costs can improve via speed and token efficiency, claiming it outperforms Gemini 2.5 Pro while being ~3× faster and using fewer tokens on 'thinking' tasks."
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OpenAI has rolled out GPT Image 1.5, an upgraded image-generation and editing model designed to respond to mounting competitive pressure from rivals like Google’s Nano Banana Pro and its broader Gemini 3 ecosystem.
The new model features strong instruction following, faster generation speed, and more precise editing. In the broader AI benchmarking context, OpenAI’s latest work has also earned top placement on Artificial Analysis’ model rankings.
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The Trump administration is launching the “United States Tech Force” to bring new technology talent into federal agencies after major workforce reductions and the dismantling of multiple government tech units earlier this year.
Led by the Office of Personnel Management (OPM), the program aims to recruit an initial cohort of roughly 1,000 technologists—primarily early-career software engineers, data scientists, and related roles—for two-year placements across agencies.
About 20 technology companies have signed on to participate so far, including Palantir, Meta, Oracle, and more.
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Nvidia’s H200 AI chip are greenlit to be exported to China — but with limits. But does china even need it?
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