Microsoft quietly extended Windows 10 Consumer Security Updates

Microsoft quietly extended Windows 10 Consumer Security Updates

Comments 0 Comment

In other announcements, Microsoft has quietly extended Windows 10 support for another year to 2027. You can enroll in Extended Security Updates (ESU) program any time until the program ends on October 12, 2027.

This is totally not an admission that Windows 10 is still over 25% of the install base even 5 years after Windows 11 released.

To enroll, make sure your device meets the following requirements – most notably they want you to use your Microsoft account and not any local accounts:

  • Devices need to be running Windows 10, version 22H2 Home, Professional, Pro Education, or Workstations edition.
  • Devices need to have the latest Windows update installed. Learn how to install Windows updates.
  • The Microsoft account used to sign in to the device must be an administrator account.
    • The ESU license will be associated with the Microsoft account used to enroll. You may be prompted to sign in with a Microsoft account if you typically sign into Windows with a local account.
Compute! (Gazette) magazine is back

Compute! (Gazette) magazine is back

Comments 0 Comment

Edwin “James” Nagle decided to see who actually owned the COMPUTE! magazine trademark. It turns out, nobody did. The name and assets of COMPUTE! were traded and sold and eventually put up as collateral which when the loan failed, reverted to a company that no longer existed.

He stepped in and got the rights from the US patent and trademark office and now officially has revived the Compute! Gazette magazine – complete with type-in programs!

Here’s his excellent talk on the subject.

Oh – and he considered the old print versions of the magazine he now owns the copyrights for as ‘free and open source’.

Claude Design to replace the UI marketplace?

Claude Design to replace the UI marketplace?

Comments 0 Comment

Claude Design has hit the scene – and Figma stock dropped 7.7% the same day.

A small team with access to a frontier model can reach “good enough” on a design tool in a matter of weeks. The question being priced in isn’t “will Figma die?” It’s “what is Figma’s moat, actually?”

Learn more about Claude Design here or read a step-by-step walkthrough in this Medium article.

VibeOS – the fully hallucinated AI operating system

VibeOS – the fully hallucinated AI operating system

Comments 0 Comment

While this was a parody/joke – it’s actually pointing in the direction software is likely headed. You can tell some of the folks in the video are seeing it. What if you just type in the application you want and it’s generated for you? Sure this is flaky now, but given the advancements as well as putting guard rails on things to guide it – this is all very much a possible future. You don’t buy software anymore and SaaS companies don’t exist either – you make the software you want by asking for it and the system generates exactly the app you need.

Download it here: https://vibeos.sh

CUDA with WSL2+Docker on Windows for Kokoro

CUDA with WSL2+Docker on Windows for Kokoro

Comments 0 Comment

In order to get Kokoro text-to-speech to work with my 5090 GPU inside a Docker container on Windows, I had to get the CUDA setup inside WSL2 using Docker images on Windows. Here were the helpful links:

Setup the WSL image with CUDA and Docker support.

  1. Ensure you have WSL2 installed on your Windows desktop
  2. Install Docker for Windows
  3. Reboot
  4. Ensure you have the latest NVidia GPU driver installed on your Windows desktop
  5. Ensure you have the latest NVidia CUDA sdk installed on your Windows desktop
  6. A system reboot here is a good idea
  7. Ensure you have Microsoft Visual Studio installed for best results
    • The CUDA sdk requires you have Visual Studio 2019, 2022, or 2026 installed. I have found 2022 is a solid version and seems to work well, but haven’t tried 2019 or 2026 recently.
    • Note you need to use the ‘Visual Studio x64 Native tools for VS2022’ command prompt if you expect to run command line compiler operations.
  8. Now you need to install CUDA support inside WSL NVidia guide
    • First follow the instructions to ensure Docker support
    • Second follow the installation of CUDA Toolkit and CUDA Developer Tools inside WSL2 on an Ubuntu 24.04 (or later) WSL distro.
  9. Optional: install nvcc so y
    • sudo apt install nvidia-cuda-toolkit
    • nvcc –version
      • This prints out the version and ensures the nvcc sdk compiler is working inside your WSL image
  10. Ensure Docker Desktop for Windows is running on your desktop
  11. Turn on support for Docker in WSL
    • Settings -> From the General tab, enable Use WSL 2 based engine.
    • Reboot
  12. Ensure your WSL image inside WSL has Docker support enabled
    • Settings -> Resources -> WSL integration tab -> Find and enable the slider for the WSL image under ‘Enable integration with additional distros’
  13. I had to reboot my system at this point to get both the WSL and Windows Docker Desktop to see each other properly
  14. After reboot, ensure Windows Docker Desktop is running
  15. Set the user permissions in the WSL session to enable access (permission denied while trying to connect to the docker API at unix:///var/run/docker.sock)
    • sudo usermod -a -G docker <username>

Now run the Kokoro docker command inside your WSL2 image:

  • CPU only:
    • docker run –gpus all -p 8880:8880 ghcr.io/remsky/kokoro-fastapi-cpu:latest
  • NVidia gpu:
    • docker run –gpus all -p 8880:8880 ghcr.io/remsky/kokoro-fastapi-gpu:latest-cu128

Connect with the default web link:

Subsequent runs:

  1. Ensure the Docker Desktop is running
  2. Start the WSL -d <image> you set up in the first part that’s has all the CUDA stuff installed
  3. run the Kokoro docker command inside WSL
  4. Connect your web browser to the localhost address

Raw WSL history (commands in WSL)

You can’t follow this 100% directly. Note you have to stop and restart/reboot WSL and desktop as you do the other steps above.

# NVidia CUDA setup inside WSL2 Ubuntu 24.04 image
wget https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64/cuda-wsl-ubuntu.pin
sudo mv cuda-wsl-ubuntu.pin /etc/apt/preferences.d/cuda-repository-pin-600
wget https://developer.download.nvidia.com/compute/cuda/13.3.0/local_installers/cuda-repo-wsl-ubuntu-13-3-local_13.3.0-1_amd64.deb
sudo dpkg -i cuda-repo-wsl-ubuntu-13-3-local_13.3.0-1_amd64.deb
sudo cp /var/cuda-repo-wsl-ubuntu-13-3-local/cuda-*-keyring.gpg /usr/share/keyrings/
sudo apt-get update
sudo apt-get -y install cuda-toolkit-13-3
exit
sudo apt install nvidia-cuda-toolkit
nvcc --version
exit
sudo usermod -a -G docker matt
exit
docker run --gpus all -p 8880:8880 ghcr.io/remsky/kokoro-fastapi-gpu:latest-cu128
Wielder’s Edge Series’ Articles

Wielder’s Edge Series’ Articles

Comments 0 Comment

This is a really interesting set of DEV articles written by a software engineer. Initially a set of 8 articles, it’s expanded to 21 and counting. It does an excellent job of describing and analyzing exactly the conditions engineers are going through – from watching an AI agent do a week’s worth of work in 1 hour while they were in a meeting to seeing 27.5% of programmer jobs disappear in 2 years.

Definitely a good read.