Yeah, that's something I do *manually* with Gemini, but I have actually thought about an app 🙂
AI
-
Claude Opus outperforms Sonnet on complex coding tasks
By
–
I keep pushing Claude Code the hardest and Opus has been amazing for complex tasks. The difference between Sonnet and Opus for following large skill files is quite noticeable on my end.
-
Researcher Attribution Matters in Open Source AI Community
By
–
Proper researcher attribution is so important. The open source AI community runs on people getting credit for their work. Super cool to see this!
-
Ethereum’s Liquidity Role in Cross-Chain Settlement Security
By
–
I can only say this: Ethereum's deep liquidity is a preferred cross-chain settlement and parking layer during hacks
-
AI Portability Over Platform Lock-In: Pluggable Solutions
By
–
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.
-
Sakana releases interesting updates with Marlin beta launch
By
–
Sakana keeps shipping interesting stuff. Will definitely check out Marlin beta!
-
RT-DETR: Real-Time Detection Transformers Revolution in Computer Vision
By
–
⚡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
-
Parallel Function Calls Game Changer for Agent Latency Production
By
–
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.
-
AMD Partnership Evolution for AI Training Hardware
By
–
The AMD partnership is interesting — curious to see how their hardware story evolves for training workloads. Would love to attend that!
-

AI Task Duration: Understanding Machine Learning Execution Times
By
–
#AI Task Duration
by @Khulood_Almani #ArtificialIntelligence #MachineLearning #ML