06:17
You do not hear the alarm.
There is no alarm.
For perhaps half a second, the bedroom is brighter than noon. White light floods through the curtains, sharp enough to leave the shape of the window burned into your vision after you close your eyes.
Then darkness again.
You sit up.
Your phone is dead. The clock on the wall is dead. The lights do not work.
Outside, car alarms begin screaming one
On May 23, the Wall Street Journal ran an interview that read less like a warning and more like a confession. Two of the people behind Pi, the agent harness at the core of the popular OpenClaw framework, turned around and warned the industry about the thing they helped build. Mario Zechner and Armin Ronacher gave us a name for what is now filling our repositories: vibe slop. It is two older ideas
What?
In the world of fitness and personal training, keeping track of exercise repetitions is crucial for tracking progress, setting goals, and ensuring proper form. While manually counting reps can be tedious and error-prone, modern computer vision techniques offer a more accurate and convenient solution. On top of that, there's a huge value in processing historical data (time series analysis),
If you're a computer vision enthusiast or a deep learning practitioner working on pose estimation tasks, you'll know that leveraging the power of GPUs can significantly accelerate your computations. However, setting up the required software stack can be a daunting task, especially on Windows machines. In this post, we'll walk through the steps to install CUDA Toolkit, cuDNN and TensorRT on a