De staatssecretaris van Economische Zaken en Klimaat neemt het advies van het Bureau Toetsing Investeringen over en besluit tot een verbod van de overname van Solvinity door Kyndryl. Kamerbrief ⤵️ open.overheid.nl/details/ec6…

NEWS: ASML CEO Christophe Fouquet singles out Starlink as one of the most fascinating chip demand drivers he sees in the market today. "We talk a lot about chips, humanoids and self-driving cars. But all those products have to be connected to data," Fouquet told Reuters. Starlink's satellite constellation requires chips at scale. As the network grows toward tens of thousands of satellites, it represents a significant and recurring source of semiconductor demand that most analysts overlook.

In 1948, a 32-year-old at Bell Labs published a paper nobody fully understood. Engineers found it too mathematical. Mathematicians found it too engineering-focused. One prominent mathematician reviewed it negatively. That paper - "A Mathematical Theory of Communication", became the founding document of the digital age. The man was Claude Shannon. Father of Information Theory. At 21, he wrote the most important master's thesis of the 20th century. Working at MIT on an early mechanical computer, Shannon noticed its relay switches had exactly two states - open or closed. He had just taken a philosophy course introducing Boolean algebra, which also operated on two values: true and false. Nobody had ever connected these two things. His 1937 thesis proved that Boolean algebra and electrical circuits are mathematically identical, and that any logical operation could be built from simple switches. Howard Gardner called it "possibly the most important, and also the most famous, master's thesis of the century." Every digital computer ever built traces back to this insight. At 29, he proved that perfect encryption exists. During WWII, Shannon worked on classified cryptography at Bell Labs. His work contributed to SIGSALY, the secure voice system used for confidential communications between Roosevelt and Churchill. In a classified 1945 memorandum, he mathematically proved the one-time pad provides perfect secrecy, unbreakable not just computationally, but provably, permanently, against an adversary with infinite power. When declassified in 1949, it transformed cryptography from an art into a science. It laid the foundations for DES, AES, and every modern encryption standard. At 32, he defined what information is. His 1948 paper introduced one equation: H = −Σ p(x) log p(x) Shannon entropy. The average uncertainty in a probability distribution. The minimum bits required to encode a message. Three things followed: > He defined the bit - the fundamental unit of all information. His colleague John Tukey coined the name. > He proved the channel capacity theorem, every communication channel has a maximum rate of reliable transmission. You can approach it. You can never exceed it. > He unified telegraph, telephone, and radio into a single mathematical framework for the first time. Robert Lucky of Bell Labs called it the greatest work "in the annals of technological thought." Where his equation lives in AI today: Cross-entropy loss - the function training every classifier and language model, is derived directly from H. Decision tree splits use information gain, which is H applied to data. Perplexity, the standard LLM evaluation metric, is an exponentiation of cross-entropy. Every time a neural network trains, Shannon's formula runs inside it. He also built the first AI learning device. In 1950, Shannon built Theseus, a mechanical mouse that navigated a maze through trial and error, learned the correct path, and repeated it perfectly. Mazin Gilbert of Bell Labs said: "Theseus inspired the whole field of AI." That same year he published the first paper on programming a computer to play chess. He co-organized the 1956 Dartmouth Workshop, the founding event of AI as a field. The man: He rode a unicycle through Bell Labs hallways while juggling. He built a flame-throwing trumpet, a rocket-powered Frisbee, and Styrofoam shoes to walk on the lake behind his house. He called his home Entropy House. When asked what motivated him: "I was motivated by curiosity. Never by the desire for financial gain. I just wondered how things were put together." In 1985, he appeared unexpectedly at a conference in Brighton. The crowd mobbed him for autographs. Persuaded to speak at the banquet, he talked briefly, then pulled three balls from his pockets and juggled instead. One engineer said: "It was as if Newton had showed up at a physics conference." He died in 2001 after a decade with Alzheimer's, the cruel irony of information slowly leaving the mind of the man who defined what information was. Claude, the AI model, is named after Claude Shannon, the mathematician who laid the foundation for the digital world we rely on today.

Elon talent raising TSMC. He’s going to mess up their wage structure so badly. 😂

Faith leaders gathered in the Oval Office to pray over President Trump — captured in a video released by a Trump adviser.

ELON WANTS TO OPEN-SOURCE 𝕏 – ALL OF IT No leaks, no guesses – just raw code, wide open. Code Drop: * Full 𝕏 codebase could go public – algorithms, features, all of it * Devs could build custom versions, fix bugs, or fork their own 𝕏 * It’s radical transparency in an industry that hides everything * Risks? Sure. But the upside rewrites how platforms are built If this happens, it’s not just open-source – it’s open power. Source: @elonmusk

If you grew up in the 80s and90s, chances are you played a lot of MicroProse games. MicroProse, founded in 1982 by Sid Meier, Bill Stealey, and Andy Hollis, revolutionized PC gaming with immersive simulations and strategy masterpieces. From humble beginnings with Hellcat Ace, it soared with flight sims like F-15 Strike Eagle, Gunship, and the submarine thriller Silent Service, blending realism and excitement. Meier’s genius shone in Pirates!, Railroad Tycoon, and the genre-defining Civilization, Colonization, and X-COM. Despite mergers with Spectrum HoloByte (1993) and Hasbro (1998), and Meier’s 1996 departure to Firaxis, its legacy endures. To me, MicroProse belongs in the hall of fame of legendary pre-2000 developers. I put them on the same level with Lucasfilm and Westwood Studios.

.@RichardSSutton, father of reinforcement learning, doesn’t think LLMs are bitter-lesson-pilled. My steel man of Richard’s position: we need some new architecture to enable continual (on-the-job) learning. And if we have continual learning, we don't need a special training phase - the agent just learns on-the-fly - like all humans, and indeed, like all animals. This new paradigm will render our current approach with LLMs obsolete. I did my best to represent the view that LLMs will function as the foundation on which this experiential learning can happen. Some sparks flew. 0:00:00 – Are LLMs a dead-end? 0:13:51 – Do humans do imitation learning? 0:23:57 – The Era of Experience 0:34:25 – Current architectures generalize poorly out of distribution 0:42:17 – Surprises in the AI field 0:47:28 – Will The Bitter Lesson still apply after AGI? 0:54:35 – Succession to AI