Yeah, that's something I do *manually* with Gemini, but I have actually thought about an app 🙂
INNOVATION
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Researcher Attribution Matters in Open Source AI Community
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Proper researcher attribution is so important. The open source AI community runs on people getting credit for their work. Super cool to see this!
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AI Portability Over Platform Lock-In: Pluggable Solutions
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Portability is so underrated. I want my AI when I need it, not locked into one platform. Pluggable > permanent every time. Being stuck in a chat interface won't change how we work nearly as much.
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Sakana releases interesting updates with Marlin beta launch
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Sakana keeps shipping interesting stuff. Will definitely check out Marlin beta!
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RT-DETR: Real-Time Detection Transformers Revolution in Computer Vision
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⚡RT-DETR: Real-Time Detection Transformers
— Satya Mallick (@LearnOpenCV) 2 avril 2026
Transformer detectors like DETR and DINO were powerful but too slow for real-time use. In 2023, RT-DETR changed the game. 🚀
By combining CNN backbones with efficient transformer attention and IOU-aware query selection, RT-DETR… pic.twitter.com/LntFCENHnJ⚡RT-DETR: Real-Time Detection Transformers Transformer detectors like DETR and DINO were powerful but too slow for real-time use. In 2023, RT-DETR changed the game. 🚀 By combining CNN backbones with efficient transformer attention and IOU-aware query selection, RT-DETR achieved strong accuracy while running at real-time speeds. ⚡ It proved that transformers could finally match CNNs not just in accuracy, but in speed—pushing object detection into a new era. #RTDETR #Transformers #ComputerVision #DeepLearning #AI #ObjectDetection #MachineLearning #AIResearch #DataScience 🤖
→ View original post on X — @learnopencv, 2026-04-02 11:15 UTC
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Parallel Function Calls Game Changer for Agent Latency Production
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Parallel function calls are such a game changer for agent latency. The difference between sequential and parallel tool use is night and day in production.
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AI Task Duration: Understanding Machine Learning Execution Times
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#AI Task Duration
by @Khulood_Almani #ArtificialIntelligence #MachineLearning #ML -
PrismML’s 1-bit Bonsai Models Achieve 10x Intelligence Density Improvement
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Pretty insane: PrismML has introduced its 1-bit Bonsai models, compressing an 8.2B-parameter LLM into just 1.15 GB while maintaining performance comparable to leading 8B models. By focusing on “intelligence density,” the company claims roughly a 10x improvement in capability per
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AI Models Coding Quality and Image Generation Improvements Compared
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Curious how they stack up for coding quality specifically! And if image gen again improves significantly!
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From Fear to Familiarity: AI Adoption Psychology
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Interesting how familiarity breeds confidence rather than fear here. Early 2023 was definitely the most "what is happening" moment for me too haha