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✨ Discover this insightful post from Hacker News 📖 📂 **Category**: 📌 **What You’ll Learn**: Disadvantage in a game due to obligation to move Zugzwang (from German 'compulsion to move'; pronounced [ˈtsuːktsvaŋ]) is a situation found in chess and other turn-based games wherein one player is put at a disadvantage because of their obligation to make a move; a player is said to be "in zugzwang" when any legal move will worsen their position.[1] Although the term is used less precisely in games such as chess, it is used specifically in combinatorial game theory to denote a move that directly…

💥 Check out this insightful post from Hacker News 📖 📂 **Category**: 📌 **What You’ll Learn**: ***Please take out a membership to support the light of truth.***As AI chatbots continue to advance, Russia is infecting them with Kremlin-manipulated content tailored to influence the global internet, distorting the public’s understanding of facts and ability to make well-informed decisions.—Exposing Pravda: How pro-Kremlin forces are poisoning AI models and rewriting Wikipedia, Atlantic Council Yesterday, I read a Wikipedia page for a book I’m about to review. I am still unsettled.The page was stripped of reality, and in its place was a sanitized fairytale…

🔥 Explore this insightful post from Hacker News 📖 📂 **Category**: 📌 **What You’ll Learn**: As of early 2026, Sega Retro has more than 300 pages about Unreleased Saturn games. There’s one game that doesn’t have a page, however: Pyramid.What’s Pyramid? That’s what we wondered when we came across this disc:The disc’s owner wasn’t able to provide many details. Our best guess was that it was a version of Pyramid no Nazo: Ankh 2, an unreleased Saturn FMV game.Thankfully, the CD-R managed to survive for 29 years perfectly intact – it booted right up and greeted us with this screen:This…

🚀 Read this must-read post from Hacker News 📖 📂 **Category**: 📌 **What You’ll Learn**: DeepSeek V4—almost on the frontier, a fraction of the price 24th April 2026 Chinese AI lab DeepSeek’s last model release was V3.2 (and V3.2 Speciale) last December. They just dropped the first of their hotly anticipated V4 series in the shape of two preview models, DeepSeek-V4-Pro and DeepSeek-V4-Flash. Both models are 1 million token context Mixture of Experts. Pro is 1.6T total parameters, 49B active. Flash is 284B total, 13B active. They’re using the standard MIT license. I think this makes DeepSeek-V4-Pro the new largest…