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  1. Thank you to #JasonHibbets for his leadership in the genesis of #AllThingsOpen over the last 11 years of its existence via @toddlew #AllThingsOpen2023

  2. Thank you to #JasonHibbets for his leadership in the genesis of #AllThingsOpen over the last 11 years of its existence via @toddlew #AllThingsOpen2023

  3. And just like that, we're at the end of #AllThingsOpen2023 !! What a great conference I'm grateful to have been here to see old friends and meet new ones. Thank you @toddlew !!! 2023.allthingsopen.org/session

  4. And just like that, we're at the end of #AllThingsOpen2023 !! What a great conference I'm grateful to have been here to see old friends and meet new ones. Thank you @toddlew !!! 2023.allthingsopen.org/session

  5. And just like that, we're at the end of #AllThingsOpen2023 !! What a great conference I'm grateful to have been here to see old friends and meet new ones. Thank you @toddlew !!! 2023.allthingsopen.org/session

  6. And just like that, we're at the end of #AllThingsOpen2023 !! What a great conference I'm grateful to have been here to see old friends and meet new ones. Thank you @toddlew !!! 2023.allthingsopen.org/session

  7. Dr. Bryan Behrehausen presents on Using the Open Leadership Assessment. #allthingsopen2023

  8. Dr. Bryan Behrehausen presents on Using the Open Leadership Assessment. #allthingsopen2023

  9. Dr. Bryan Behrehausen presents on Using the Open Leadership Assessment. #allthingsopen2023

  10. Dr. Bryan Behrehausen presents on Using the Open Leadership Assessment. #allthingsopen2023

  11. GitHub - open-organization/open-leadership-assessment: A pair of assessments to measure the behavior of leaders as described in the Open Leadership Definition github.com/open-organization/o #AllThingsOpen2023

  12. GitHub - open-organization/open-leadership-assessment: A pair of assessments to measure the behavior of leaders as described in the Open Leadership Definition github.com/open-organization/o #AllThingsOpen2023

  13. GitHub - open-organization/open-leadership-assessment: A pair of assessments to measure the behavior of leaders as described in the Open Leadership Definition github.com/open-organization/o #AllThingsOpen2023

  14. GitHub - open-organization/open-leadership-assessment: A pair of assessments to measure the behavior of leaders as described in the Open Leadership Definition github.com/open-organization/o #AllThingsOpen2023

  15. Listening to Bryan Behrenhausen! 2 for 1: Using the Open Leadership Assessment Project to Learn About Your Open Leadership Style/Three Cups of Code - All Things Open 2023 2023.allthingsopen.org/session #AllThingsOpen2023

  16. Listening to Bryan Behrenhausen! 2 for 1: Using the Open Leadership Assessment Project to Learn About Your Open Leadership Style/Three Cups of Code - All Things Open 2023 2023.allthingsopen.org/session #AllThingsOpen2023

  17. Listening to Bryan Behrenhausen! 2 for 1: Using the Open Leadership Assessment Project to Learn About Your Open Leadership Style/Three Cups of Code - All Things Open 2023 2023.allthingsopen.org/session #AllThingsOpen2023

  18. Listening to Bryan Behrenhausen! 2 for 1: Using the Open Leadership Assessment Project to Learn About Your Open Leadership Style/Three Cups of Code - All Things Open 2023 2023.allthingsopen.org/session #AllThingsOpen2023

  19. Listening to #BryanBehrenhausen speak about the The Open Organization | Resources for building open organizations theopenorganization.org/ #AllThingsOpen2023

  20. Simplifying local AI with Pinokio

    Are you looking for a way to leverage AI without having to be a developer or an experienced coder then Pinokio is just what the doctor ordered. Best of all you can run Pinokio on your own computer so you don’t have to sacrifice your privacy. Pinokio stands out as a revolutionary tool that merges the power of open-source automation with the simplicity of a browser interface. Built with developers and curious tinkerers in mind, Pinokio is redefining what it means to use a browser—not just to explore the internet, but as a platform that allows even inexperienced users the ability to download and launch AI applications that ordinarily would require lots of know how and skill.

    Using Pinokio you can easily install, run, and automate any AI tool on your computer. Anything you can execute in the command line can be streamlined using Pinokio scripts—all through an intuitive, user-friendly interface. You can use Pinokio to install AI apps, manage and run those apps, create workflows for installed AI apps. There is lots of help available to help you get started with Pinokio by following @cocktailpeanut on X or joining the Pinokio Discord to ask questions. Pinokio is open source with an MIT license.

    The project has detailed directions for installation your operating system and supports Windows, macOS and Linux. I chose both the Linux and macOS installs. Pinokio is supported on both the legacy Intel Mac and the Apple Silicon Mac. If you are a Linux user like me follow this link to find either the deb or rpm package for easy installation or the source code to compile the application for yourself.

    I also installed Pinokio on my M3 MacBook Air. The Apple Silicon install is a little trickier but once you follow the excellent documentation you will be up and running. Once the initial application is installed and launched on either platform, the Pinokio environment is automatically and seamlessly set up during the first launch. When that was accomplished I was eager to dive in and discover what AI applications I could use. At the top of the Pinokio browser there is a ‘Discover’ button that takes the user to a number of applications that can be setup and launched. When the discover button is pressed the user is presented with the following display of News and Apps that can be loaded.

    Screen picture by Don Watkins CC by SA 4.0

    There are dozens of AI apps with certified scripts that can be installed. There are almost too many to choose from. I knew from experience that though my Linux computer is an i7 with 64 GB RAM that it lacks a GPU so running AI apps on that platform would mean the processing would be slow. I elected to use the M3 MacBook with 16 GB RAM. Much faster processing. My first choice was FaceFusion. FaceFusion has an Open RAIL-S license

    Screen picture by Don Watkins CC by SA 4.0

    FaceFusion is a powerful tool for face swapping and enhancement. I decided to install it with Pinokio on my Apple Silicon Mac. Using Pinokio it is easy to install this AI app by clicking the ‘One-Click install’ button and waiting a short period of time to install the app. Once the app is installed in Pinokio it can easily be launched from the browser.

    Screen picture by Don Watkins CC by SA 4.0

    Once FaceFusion is launched I am presented with a menu interace to choose how I will run the application.

    I chose ‘Run Default’ and I am presented with an elegant yet easily managed interface for enhancing facial images. In the browser I can see that FaceFusion is running on port 7860 on the localhost.

    Screen picture by Don Watkins CC by SA 4.0

    Pointing my browser to localhost:7860 I can see the FaceFusion app running.

    Screen picture by Don Watkins CC by SA 4.0

    Now I can have some fun with faces. I chose to use another AI program to generate an image of a handsome guy with blonde hair and blue eyes like I used to have earlier in life. That is the source image I am inserting into the FaceFusion app. Then I inserted a recent picture of myself taken earlier this year.

    Screen picture by Don Watkins CC by SA 4.0Photo by Don Watkins CC by SA 4.0

    Five seconds later after I clicked the ‘Start’ button at the bottom of the app I have the new me. Maybe someone will develop HairFusion too. Have some fun with your images and explore FaceFusion more thoroughly.

    Image created by FaceFusion

    #AI #FaceFusion #Pinokio

  21. Mastering space management with ‘dfc’

    The dfc command in Linux is a powerful tool that provides users with file system space usage information. It is a tool similar to df which provides a snapshot your file system. Here is a look at my file system using the df command:

    don@Jude:~$ dfFilesystem     1K-blocks      Used Available Use% Mounted ontmpfs            6548596      2272   6546324   1% /run/dev/nvme0n1p2 959786032 288646724 622311100  32% /tmpfs           32742976     84192  32658784   1% /dev/shmtmpfs               5120        12      5108   1% /run/lockefivarfs             192       125        63  67% /sys/firmware/efi/efivarstmpfs           32742976         0  32742976   0% /run/qemu/dev/nvme0n1p1    523248      6284    516964   2% /boot/efitmpfs            6548592       208   6548384   1% /run/user/1000

    I can tell with a quick glance that I still have a lot of space available on my system. Using dfc offers additional features such as color-coded output and graphical representations, making it easier to visualize disk usage at a glance. Here is a quick look at my system using dfc:

    Screen picture by Don Watkins CC by SA 4.0

    You can easily see that dfc provides more information and it color and in a format that is more readable for the user. You can turn off the default color option by issuing the following command:

    $ dfc -c never

    This provides a non color read out of the same data.

    Screen picture by Don Watkins CC by SA 4.0

    You can display all the file systems including pseudo, duplicate and inaccessible filesystems by using the following command:

    $ dfc -a 
    Screen picture by Don Watkins CC by SA 4.0

    The dfc command was not included with my distribution and had to be installed from the command line for Ubuntu based distributions.

    $ sudo apt install dfc

    installation for .rpm based distributions would be the following:

    $ sudo dnf install dfc

    The command is open source with a BSD-Clause License. You can export the output of the command in HTML, JSON, Tex and CSV formats. The man page provides excellent documentation and explanation of the various switches for the command. Use the dfc -h command display an excellent help menu with all the options for the command.

    #CLI #dfc #Linux

  22. How Linux Mint, NTFSFix, and ClamAV Saved Microsoft Publisher

    Recently, I was helping a Windows-using friend transition from her ten-year-old Windows 10 laptop to a new Windows 11 laptop. All of her important files had been backed up by Microsoft OneDrive, which was a great relief when we logged into the new computer. My friend is a Microsoft Publisher user, and you guessed it: Microsoft has announced the end of life for Publisher in October 2026. Since she’s an Office 365 user, she has until then to export all her Microsoft Publisher files as PDFs or lose the information.

    The ten-year-old laptop had become unusable, locked up mid-application with Windows errors, and refused to budge. It was an i3 with 4 gigabytes of RAM that started as a Windows 8 laptop and was upgraded to Windows 10 about five years ago. It had seen better days, but I suggested to my friend that I might be able to resurrect it so she could continue using it with the 2021 version of Microsoft Publisher, which will no longer receive updates. She said, “Sure, I’m happy to have you work your magic!”

    I took it home and did a live boot with Linux Mint MATE 22.2, but the Windows drive would not mount. It gave me an error message:

    $ wrong fs type, bad option, bad superblock on /dev/sda6
    

    I ran fsck on the drive and got more messages indicating that a bad block existed and needed to be repaired. How could I fix the error from within this live boot environment? That’s when I happened upon ntfsfix. The program was already loaded in the live boot environment. I used lsblk to determine the exact location of the NTFS disk in the disk system and issued the following command:

    $ sudo ntfsfix -b -d /dev/sda6

    There are several options for the command:

    ntfsfix v2022.10.3 (libntfs-3g)
    
    Usage: ntfsfix [options] device
        Attempt to fix an NTFS partition.
    
        -b, --clear-bad-sectors Clear the bad sector list
        -d, --clear-dirty       Clear the volume dirty flag
        -h, --help              Display this help
        -n, --no-action         Do not write anything
        -V, --version           Display version information
    
    

    In my case, I used the -b (clear-bad-sectors) and -d (clear-dirty). That command fixed the problem I had with the NTFS partition, and I was now able to download and install Clam Antivirus to clean up the suspected malware causing the issue.

    $ sudo apt install clamav

    Then I was ready to scan the disk for viruses and malware. I opened a terminal in the mounted Windows drive and entered the following command:

    $ sudo clamscan -irv --remove 

    Those clamscan options: – only prints files that are infected, r-scans directories recursively, and v- provides detailed output during the scan. The –remove option deletes any files that are found to be infected. Be careful with that last option.

    The laptop has an i3 CPU and 4 GB RAM, and the process for scanning a 400-gigabyte drive was lengthy. It took overnight to complete the scan, but when I started the laptop in the morning, I was able to log in without difficulty, and my friend is delighted at the prospect of extending the life of her access to Microsoft Publisher.

    In the end, what began as a seemingly hopeless situation with a locked-up Windows 10 laptop turned into a valuable lesson in resourcefulness. By combining the flexibility of a Linux live boot, the repair power of ntfsfix, and the thoroughness of ClamAV, I was able to breathe new life into aging hardware and preserve access to software that is nearing its end of support. For my friend, this means more time to safely transition her Publisher files, and for me, it’s a reminder that with the right tools and a bit of persistence, even a decade-old machine can still serve a meaningful purpose.

    #ClamAV #Linux #LinuxMintMate #OpenSource
  23. Enhancing My Resume with AI: A Journey with Microsoft Copilot

    A few days ago a friend sent me a message about an opportunity to work as a Maker Space coach at a local university. After discussing the opportunity with my wife she suggested I apply. I completed the online application and then toward the end of the process i needed to submit a resume. There used to be a way to use your Linkedin profile to generate a resume. They don’t offer that service anymore. I am a Canva subscriber and there is an appllication that is supposed to work but alas it wasn’t working tonight. I asked ChatGPT to create a resume with the link to my LinkedIn profile. ChatGPT won’t perform this. That’s when I tried Microsoft Copilot.

    I asked Copilot if it could help me create a resume. It suggested that I drag and drop my resume into the conversation space. I searched my drive and found a resume I had written seven years ago for a graduate school application. It was a PDF. Copilot would not work with the PDF but suggested that I could use a JPG or PNG. I opened the resume document and took a screen picture of it and saved the file as PNG. Then I uploaded it to Copilot. I just a few seconds Copilot read my resume and printed it out on the display. Using Copilot I instructed it to add the new additions and corrections to my resume and it did a wonderful job of that. It was incredibly easy.

    Copilot provides all of it’s output in Markdown. I decided to convert the Markdown to PDF so I copied and pasted the output into my favorite MarkText which is my favorite Markdown editor, saved the file and then exported it to a PDF. I uploaded the PDF with my application and submitted it. If you find yourself in a situation like I did tonight I suggest you try using Microsoft Copilot and open source tools like Screenshot on Linux Mint and Marktext

    #AI #Copilot #Markdown #MarkText #resume