The beautiful thing about AI and robotics is that you're never done."
— Manuela Veloso
AI is complex. Our explainers make it accessible. From large language models and neural networks to AI regulation and ethical frameworks, we break down the concepts, technologies, and debates shaping artificial intelligence — in plain language, with depth and accuracy. Built to stay relevant long after the news cycle moves on.
Indium phosphide, a compound semiconductor made from indium and phosphorus, has become a critical enabler of the optical chips that move data inside AI data centres.
The AI industry depends on advanced semiconductors, and a small island plays an outsized role in producing them. Taiwan accounts for more than 90% of global leading-edge chip manufacturing and for over 60% of global foundry revenue, according to the U.S. International Trade Administration.
Why would Anthropic, a $1 Trillion valuation company all set for an IPO, call for a global pause on AI? Read our exclusive report on why humanity must brace for superintelligence.
The Leiden Declaration on Artificial Intelligence and Mathematics warns that AI-generated proofs could erode trust in mathematical research by producing convincing but difficult-to-detect errors.
University of Cambridge-led study found that AI systems often failed to accurately assess top and low-performing university essays, with researchers warning that current models remain too inconsistent for independent grading.
Despite billions in US investment and China’s domestic chip push, Taiwan remains the chokepoint in the US-China AI race, with advanced chips, compute infrastructure, and semiconductor power still running through the island.
Jensen Huang hitched a last-minute ride to Beijing on Air Force One. He left without a single H200 chip shipped to a cleared Chinese customer. The Trump-Xi summit produced warm photographs, a tariff truce, and no resolution on the three things that actually move the AI race, chips, rare earths, and a safety channel between the two governments.
OpenAI has five principles and one mission: AGI for all of humanity. The harder question is whether a company of its size and influence can democratize what it is also commercializing.
NVIDIA has unveiled Ising, a new family of open-source AI models designed to tackle two of quantum computing’s biggest obstacles: qubit calibration and error correction. The company claims the system can cut calibration times from days to hours and make quantum error decoding up to 2.5 times faster and three times more accurate.
Anthropic has decided to not make public their latest frontier model Claude Mythos for being “too powerful” but is it a marketing ploy?