Disclaimer: I'm in the Top 1% of StackOverflow contributors with 23,315 rep points.
I asked 1 high-quality question in 2024, and it was closed almost immediately, and I haven't engaged with the site since.
If someone with 20,000+ karma has their nicely-formatted questions closed so quickly, what must the newbies and rank-in-file encounter? This is probably a big reason why it's declining.
TL;DR Secure your SSH infrastructure from the very first boot. Rotate keys and never trust a previously unknown machine. Never pass through a key-not-known prompt and do not get used to the identification-changed warning with a remote host.
ORIGINAL POST Public Key Infrastructure with Secure Shell
With its latest reales qemu added the Venus patches so that virtio-gpu now support venus encapsulation for vulkan. This is one more piece to the puzzle towards full Vulkan support.
An outdated blog post on clollabora described in 2021 how to enable 3D acceleration of Vulkan applications in QEMU through the Venus experimental Vulkan driver for VirtIO-GPU with a local development environment. Following up on the outdated write up, this is how its done today.
Let's start with the brief description of the projects mentioned in the post & extend them:
hi, i'm daniel. i'm a 15-year-old with some programming experience and i do a little bug hunting in my free time. here's the insane story of how I found a single bug that affected over half of all Fortune 500 companies:
If you've spent some time online, you’ve probably come across Zendesk.
Zendesk is a customer service tool used by some of the world’s top companies. It’s easy to set up: you link it to your company’s support email (like [email protected]), and Zendesk starts managing incoming emails and creating tickets. You can handle these tickets yourself or have a support team do it for you. Zendesk is a billion-dollar company, trusted by big names like Cloudflare.
Personally, I’ve always found it surprising that these massive companies, worth billions, rely on third-party tools like Zendesk instead of building their own in-house ticketing systems.
| # This script will transcribe an audio file (mp3, wav, etc.) to text and then clean the text using a local LLM model via Ollama. Technically, this script will work with any LLM that supports the standard OpenAI bindings with minor adjustments. | |
| # GETTING STARTED: | |
| # 1. Install required python packages (pip install openai python-dotenv) | |
| # 2. Git clone a copy of ggerganov/whisper (https://github.com/ggerganov/whisper.cpp) | |
| # 3. Build the whisper binary (see the whisper.cpp README for instructions) | |
| # 4. Download one of the whisper models (largev2 is the most accurate for all languages, though the base model works reasonably well for English). | |
| # 5. Install ffmpeg (brew install ffmpeg on macOS, apt-get install ffmpeg) | |
| # 6. Install ollama (https://ollama.com/download) | |
| # 7. Download an LLM model (https://ollama.com/library) |
Please comment below to contribute. Thanks!
| X11 concept | Wayland concept | Notes |
|---|---|---|
| "Window" | "Top-level Shell Surface" | An entire window, including window decorations |
| X11 (the specfication) | Wayland (the protocols) | Neither X11 nor Wayland are binaries that can be installed |
| Xorg, one universally shared default implementation | Multiple competing Wayland compositors | Unfortunately there is no universally used single Wayland compositor; apparently every desktop environment does its own, and as a result what works in one may not work in another |
export DISPLAY=... |
export WAYLAND_DISPLAY=... |
How to know which WAYLAND_DISPLAY one needs to export? The sockets (and their names) should be located in /run/user/*. If WAYLAND_SOCKET is detected, the client will prefer to use the socket provided using that environment variable. |
| #!/bin/bash | |
| GUEST_NAME=Win10_With_GPU | |
| job_exited="false" | |
| exec_result=$(virsh -c qemu:///system qemu-agent-command "$GUEST_NAME" '{"execute": "guest-exec", "arguments": { "path": "nvidia-smi.exe", "arg": [ "--format=csv,noheader", "--query-gpu=temperature.gpu" ], "capture-output": true }}') | |
| exec_pid=$(echo "$exec_result" | jq ".return.pid") | |
| while [ "$job_exited" == "false" ]; do | |
| exec_job_data=$(virsh -c qemu:///system qemu-agent-command "$GUEST_NAME" '{"execute": "guest-exec-status", "arguments": { "pid": '" ${exec_pid}}}") |
Recently I got interested in Blender 3D, partly inspired by infinigen project.
One day I encountered Tellusim. Impressed by the quality of its rendering, I was browsing its blogs and see this. Wow, Tellusim really blowed others out of the water;others including Unreal, Unity, Omniverse and Blender. Wait, Blender is really that slow importing a USD scene?
Since Blender is open-source, why not try to figure out what's going on? Here we go.
| #!/bin/bash | |
| if [[ -z $EDITOR ]] | |
| then | |
| EDITOR=nano | |
| fi | |
| if [[ ! -f ~/.config/mimeapps.list ]] |
