This would be a disastrous outcome, robbing the US of the chance to shore up its sovereignty, economic prosperity and security for the next century.
AI
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Betting Markets as Prognostication Tools: Benefits and User Costs
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Interesting. Still bullish on betting markets as a prognostication tool. But they do take a heavy toll on average an average user.
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AGI ALPHA Launches α-AGI Ascension with Self-Organizing Agent Systems
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AGI ALPHA brings α‑AGI Ascension online by treating intelligence as a far‑from‑equilibrium process: Gibbs free‑energy gradients drive organized complexity; Hamiltonian landscapes guide coordination; agent constellations self‑organize for maximum impact. #AGIALPHA #AGIJobs
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Client-side OpenCV added to drone simulation for person detection
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✨ Added client-side OpenCV to my drone sim that watches the drone video feed in-game and tries to detect people, it's messy and wrong all the time (like real OpenCV running on a shitty radio connection)
— @levelsio (@levelsio) 25 avril 2026
It's starting to look pretty real and with multiplayer it's becoming… https://t.co/4tri2URFG3 pic.twitter.com/fKhWjrh4oGAdded client-side OpenCV to my drone sim that watches the drone video feed in-game and tries to detect people, it's messy and wrong all the time (like real OpenCV running on a shitty radio connection) It's starting to look pretty real and with multiplayer it's becoming
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When You Trust AI Processes Too Much: Risks
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When you trust the process too much Source: https://
reddit.com/r/ChatGPT/comm
ents/1sv23b9/
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AI Predictions: The Stata Center in Year 2500
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What does AI think the Stata Center will look like in the year 2500? ChatGPT, Meta AI, & Grok chimed in.
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NVIDIA Dynamo Optimizes Inference Stack for Agentic Coding
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Traditional inference wasn’t built for agentic coding. Agentic tools make hundreds of API calls per coding session, often with recomputed context, creating bottlenecks that drive up cost per token. NVIDIA Dynamo rebuilds the stack for agents with: → KV-aware routing →
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DeepSeek V4 Pro: Undertrained with less intelligence density than V3.2
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DeepSeek V4 Pro, for how massive it is (1.6T Parameters), is quite undertrained (32T Tokens) Yes, undertrained It has less intelligence density than that of V3.2 which is like 1/3rd of its size
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Chinese Geely Robotaxi Concept Challenges Tesla’s Market Position
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Robotaxi from China to take on the Tesla!? | Geely Concept https://
youtu.be/DybSJvSj314?si
=2UfrtvDu_HrppsAD
… via @YouTube #robotaxi #tesla @SpirosMargaris @PawlowskiMario @mvollmer1 @gvalan @ipfconline1 @LaurentAlaus @Shi4Tech @Fisher85M @kalydeoo @Ym78200 @Nicochan33 @chboursin @3itcom
