After spending 24 hours across planes and airports I got back home and spent the rest of my weekend trying to get this beautiful laptop to work.
Here are the fixes so you don't have to suffer.
Install Arch Linux as usual.
| while true; do | |
| v=$(uv run btcli subnet burn-cost --network finney | grep -oE '[0-9]+\.[0-9]+') | |
| echo "[$(date '+%Y-%m-%d %H:%M:%S')] Subnet burn cost: $v" | |
| awk "BEGIN{exit !($v < 225)}" && paplay /usr/share/sounds/freedesktop/stereo/complete.oga | |
| sleep 3600 | |
| done |
| const removeWarnings = (element: HTMLElement) => { | |
| if (element.nodeName === "SPAN") { | |
| const span = element as HTMLSpanElement; | |
| if (span.innerText.trim() === "For development purposes only") { | |
| span.innerText = ""; | |
| } | |
| if ( | |
| span.innerText.trim() === "For development purposes only" || | |
| span.innerText.trim() === | |
| "This page can't load Google Maps correctly." |
| const jwt = '...' | |
| // Split JWT by dots | |
| const sections = jwt.split('.'); | |
| // Function to check if a string is valid base64 | |
| function isValidBase64(str) { | |
| try { | |
| // Add padding if needed |
| { | |
| "last_node_id": 114, | |
| "last_link_id": 225, | |
| "nodes": [ | |
| { | |
| "id": 4, | |
| "type": "GroundingDinoModelLoader (segment anything)", | |
| "pos": { | |
| "0": 1287, | |
| "1": -1061 |
| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
| <title>apiplant - AI Software Consultancy</title> | |
| <script src="https://cdn.tailwindcss.com"></script> | |
| <style> | |
| .first-page { | |
| background-image: url('Downloads/image.jpg'); |
| [package] | |
| name = "sqlxxx" | |
| version = "0.1.0" | |
| edition = "2021" | |
| [dependencies] | |
| anyhow = "1.0.86" | |
| sqlx = { version = "0.7", features = ["runtime-tokio", "tls-rustls", "sqlite"] } | |
| tokio = { version = "1", features = ["macros", "rt-multi-thread"] } |
| apiVersion: apps/v1 | |
| kind: DaemonSet | |
| metadata: | |
| labels: | |
| k8s-app: sentry-logging | |
| name: sentry | |
| namespace: kube-system | |
| spec: | |
| selector: | |
| matchLabels: |
| import cv2 | |
| target_cascade = cv2.CascadeClassifier('haarcascade_upperbody.xml') | |
| video_capture = cv2.VideoCapture('your_video.mp4') | |
| fps = int(video_capture.get(cv2.CAP_PROP_FPS)) | |
| output_width, output_height = 400, 300 | |
| fourcc = cv2.VideoWriter_fourcc(*'XVID') | |
| output_video = cv2.VideoWriter('output_video2.mp4', fourcc, fps, (output_width, output_height)) |