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What’s New Today: US official alleges DeepSeek used Nvidia Blackwell chips in China despite export restrictions, deepening policy and security concerns.
Fast-Track Insights: Grodi raises €2.5M to industrialise VEGA 11 greenhouse robot and expand across Spain, boosting productivity and sustainability in intensive agriculture.
Here’s a quick rundown of the biggest tech headlines making waves today. Let's dive into the day's top tech stories, from US Says DeepSeek Used Nvidia Blackwell Chips to Top Graduates Struggle in AI Hiring Market.
A senior U.S. official said Chinese startup DeepSeek trained its upcoming AI model using Nvidia’s advanced Blackwell chips, despite U.S. export restrictions barring such shipments to China. The chips are believed to be clustered at a data center in Inner Mongolia. The claim could intensify debates in Washington over AI chip exports, as policymakers weigh national security risks against commercial interests and technological competition.
Spain-based agtech startup Grodi has raised €2.5 million to scale its autonomous greenhouse robot, VEGA 11. Led by Swanlaab Innvierte Agri Food Tech, the round will support industrialisation and commercial expansion across Spain’s horticultural regions. Founded in 2022, Grodi combines robotics, computer vision, and data analytics to give growers real-time plant insights, helping improve productivity, sustainability, and decision-making in intensive agriculture.
Even graduates from top schools like Stanford and MIT are struggling to secure tech jobs as companies cut junior hiring and focus on productivity. Founder Xiaoyin Qu says credentials alone no longer guarantee roles. Instead, students who build real products, publish research, compete in hackathons, and showcase work publicly are standing out. In today’s AI-driven market, proof of execution is replacing pedigree as the key differentiator.
As AI reshapes sectors like healthcare, hiring, and finance, concerns around bias, privacy, and accountability are growing. The article explains that Ethical AI defines the moral values that guide fairness and inclusivity, while Responsible AI secures the implementation of those values through its governance structure, auditing procedures, and compliance methods. In 2026, organizations must combine ethical clarity with operational discipline to build trustworthy, regulation-ready AI systems that sustain public confidence.
The fictional research study from Citrini Research presents a hypothetical economic crisis that results from AI technology. The authors claim that AI systems with autonomous capabilities will remove middlemen from payment processing. The scenario shows how tokenization and disintermediation function as new cryptocurrency trends. The networks will gain advantages when commercial activities lead to changes in financial systems and payment methods.
