@GenReasoning
’s KellyBench result on the global @FT weekend cover
AI
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KellyBench Results Featured on FT Weekend Cover
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AGI Learning Capacity and Training Data Fairness Debate
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not at all fair comparison when you consider a. how much poker-relevant data is presumably in the entire training database of the scraped internet (lessons, tutorials, youtube videos)
b. the fact that AGI should be able to learn, since that is part of general intelligence. -
AI Framework Decodes Real-Time Decision-Making for Critical Safety
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How can AI truly understand your real-time decision-making for ultimate safety in critical situations? Researchers at the University of Michigan unveil a groundbreaking approach. They developed Self-Supervised Evolutionary Learning (SSEL), an AI framework that directly decodes
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Catholic Church as sole Western moral authority claim
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https://t.co/kuIninXzHC pic.twitter.com/Dye5QYyGoH
— Bojan Tunguz (@tunguz) 11 avril 2026The Catholic Church is now the only Western moral authority. x.com/ChristopherHal…
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Running with Shoe Dog: Phil Knight’s Inspirational Audiobook Journey
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For some books, yes. The first book I finished on Audible, accompanying my runs, was Shoe Dog by Nike’s Phil Knight. It was perfect in that context, almost inspirational.
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Threat Intelligence Essential for Fraud Prevention Strategy
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Why Threat Intelligence Is Becoming a Must-Have in Fraud Prevention Fraud is becoming more sophisticated — and threat intelligence is now essential for identifying risks and staying ahead of evolving attacks. Read more https://
bernardmarr.com/why-threat-int
elligence-is-becoming-a-must-have-in-fraud-prevention/
… #CyberSecurity #FraudPrevention -
Sam Altman AI Safety Concerns and Boycott Strategy
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people *should* be afraid of Sam; I stand by that. they shouldn’t commit violence; I stand by that. and I literally said it in multiple tweets both here (yesterday) and in other contexts, many times. instead, as recently as yesterday I called for a boycott. the main reason
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Kindle Book Removal: Rare Technical Possibility in 16 Years
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It’s a technical possibility but extremely rare and can’t be a dealbreaker. In my 16 years of Kindle use and hundreds of book purchases – not a single one has been removed.
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DUPLEX: Agentic Dual-System Planning via LLM Information Extraction
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DUPLEX: Agentic Dual-System Planning via LLM-Driven Information Extraction Hua et al.: arxiv.org/abs/2603.23909 #ArtificialIntelligence #NeuroSymbolic #SymbolicAI [Translated from EN to English]
→ View original post on X — @ceobillionaire, 2026-04-11 14:12 UTC
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LongCat: Advanced Image Editing With Long-Context Understanding
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LongCat: Scaling Image Editing With Long-Context Understanding
— Satya Mallick (@LearnOpenCV) 11 avril 2026
In this episode of Artificial Intelligence: Papers and Concepts, we explore LongCat, a new approach to AI-powered image editing that focuses on handling complex, multi-step instructions with long-context… pic.twitter.com/aYVvURSNLwLongCat: Scaling Image Editing With Long-Context Understanding In this episode of Artificial Intelligence: Papers and Concepts, we explore LongCat, a new approach to AI-powered image editing that focuses on handling complex, multi-step instructions with long-context understanding. Instead of making isolated edits, LongCat is designed to follow detailed prompts that require consistency across multiple changes bringing AI closer to real creative workflows. We break down why traditional image editing models struggle with sequential instructions, how LongCat maintains coherence across edits, and what this means for designers and creators working with AI tools. If you’re interested in generative image editing, multimodal models, or the future of AI-assisted creativity, this episode explains why LongCat represents an important step toward more controllable and context-aware image generation. Resources: Paper Link: arxiv.org/pdf/2512.07584v1 Interested in Computer Vision and AI consulting and product development services? Email us at contact@bigvision.ai or visit us at bigvision.ai
→ View original post on X — @learnopencv, 2026-04-11 14:12 UTC