New research from Google DeepMind shows image generation is all you need for computer vision. Vision Banana beats specialist vision models at segmentation, depth and surface normals in zero-shot.
MACHINE LEARNING
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LimX Dynamics Launches 165cm Humanoid Robot OLI for AI
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LimX Dynamics Launches 165-cm Humanoid #Robot OLI for #AI Developers
— Ronald van Loon (@Ronald_vanLoon) 26 avril 2026
by @IntEngineering
#Robotics #MachineLearning #ArtificialIntelligence #AI #ML pic.twitter.com/nYPT66gctyLimX Dynamics Launches 165-cm Humanoid #Robot OLI for #AI Developers
by @IntEngineering #Robotics #MachineLearning #ArtificialIntelligence #AI #ML -
Evolved Multi-Agent LLM System Unlocks Test-Time Compute at ICLR2026
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Scaling massive monolithic LLMs continues to yield incredible results. But to truly unlock their ceiling, the next frontier is test-time compute and dynamic orchestration. Nature solves complex problems through collaborative ecosystems. In our new #ICLR2026 paper, we evolved a
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Cursor AI Vibe Jam Day 23 with Major Prize Announcements
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🧑🚀 Day 23 of the @cursor_ai #vibejam
— @levelsio (@levelsio) 25 avril 2026
Proudly sponsored by @cursor_ai + @boltdotnew + @heyglif + @tripoai
Prizes to win (submit your vibe coded game before May 1!)
🏆 $25,000
🥈 $10,000
🥉 $5,000
🚨🚨🚨 ONLY 5 DAYS LEFT! 🤯🤯🤯
My favorite games from today:
🌅 Sunset City by… https://t.co/OJBuAe8Imr pic.twitter.com/tQshYXEO8xDay 23 of the @cursor_ai #vibejam Proudly sponsored by @cursor_ai + @boltdotnew + @heyglif + @tripoai Prizes to win (submit your vibe coded game before May 1!) $25,000 $10,000 $5,000 ONLY 5 DAYS LEFT! My favorite games from today: Sunset City by
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Internet Scale Content Creation Enabled Early LLM Development
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We needed internet scale of content creation before we could have gotten enough data for the very primitive LLMs to be actually useful.
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Backend performance gains outpace frontend optimization progress
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we still get looksmaxxed on frontend a little but we IQmog hard now
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Viability threshold below one percent in AI systems
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what makes you beleive <1% is viable? we havent even seen anyone under 2% have we?
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Hyperloop Transformers: Memory-Efficient LLM via Looped Architecture
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"Hyperloop Transformers" This paper propose a memory-efficient LLM via looped Transformers. They basically reuse the middle block across depth, then add hyper-connections only between loops. Key result is that this restores flexibility lost from weight sharing, letting the
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DeepSeek V4 Flash vs Qwen 3.6: Size vs Efficiency Showdown
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MADNESS DeepSeek V4 Flash 284B
(MoE, 13B Active Params/Tok) Is only 1 point higher on the Artificial Analysis Intelligence Index than Qwen 3.6 27B (Dense, 27B Active Param/Tok) Qwen 3.6 size is double that of the active parameters and 1/10 of the full size of DeepSeek V4 Flash