Pipulate Free and Open Source AI SEO Software

Uh, it’s really just Jupiter Notebook installed properly (with a real Linux Python)

Sorry folks, if you thought you were finding yet another spam cannon here that ruins everything for everyone, you’re going to have to go get those WordPress plugins elsewhere. Pipulate is a free and open source project that only uses AI to get rid of the laborious tasks of writing alternative headlines, meta descriptions, extracting keywords for navigation and other uses.

One paragraph to preach to your dumb asses, then I’m done and it’ll all be practical application, preparing you to be the last SEO standing in this rapidly changing profession. Ever hear of tragedy of the commons? One person gets a free pass then holds open the door for everyone else to come in and crowd the place. That’s what happened to SEO already with every link citation being a manipulated vote on relevance designed to game Google’s algorithm. It’s not just SEO.

This sort of cheating by cheaters who cheat (versus meritoriously winning the link compelled by the power of the content) is everywhere. It’s in politics, it’s in business, it’s in sports, it’s in the arts, it’s in academia, it’s in the media, it’s in the military, it’s in the church, it’s in the family, it’s in the school, it’s in the home. It’s common. It’s just a tragedy, that’s all. Everything old is new again, and so begins our ruining of the next new big thing, AI.

Climbing down off my horse now, folks. It’s all practical application of the new dark arts of white hat AI SEO from here on out. I’m going to show you how to install Jupiter Notebook properly. This means you will be running a real, genuine copy of Python. If you have a local copy of Python installed from the Microsoft Store (typing python from PowerShell) or from Anaconda, you’re on the wrong path. Even grabbing a copy from Python.org for a direct Windows or Mac install is wrong. Why? Because your code will be non-standard, and your attempts to make progress will die from a thousand cuts.

You won’t believe me at first and you will try to make it work with your existing Python or Anaconda or even what’s known as jupyterlab-desktop from Github (a Microsoft MSI installer). It will work for awhile, but in about 5 or 10 years when everyone else has made the move from Jupyter to real Linux automation employing AI and Linux services called daemons, you will look back and recall reading this and wish you had listened to Mike. Join the class of SEOs (and Data Scientists) who are able to make the transition from a LOST state (sitting and hitting the button every time) to those who can bippity, boopity, bopity, boop their way into the increasingly easy field of DevOps.

Okay, now I climb off my high horse. The funny thing is it’s way easier to get started on this path than anyone things. Microsoft and Apple both had to make it this way, because any platform that can’t host a normalized Linux virtual machine development sub-system is not a credible platform. Apple thinks they get a pass because they have a Unix underpinning, but they don’t. All modern tooling, especially in the AI space, is Linux-based. Microsoft was all-in since 2017 when they introduced their Windows Subsystem for Linux (WSL)… uhhh subsystem. It’s a Linux kernel that runs on Windows. So Windows is good. Both Windows 10 and Windows 11 is Pipulate-ready.

For Macs to get the same thing, outside parties had to come and “fix” the Apple platform to get a real Linux kernel, just like the hacker community had to fix Macs to have a free and open source software (FOSS) repository with homebrew. Homebrew is still not an official Apple thing (I mean come on, it’s called homebrew). And neither is the Linux kernel that gets Macs ready to pipulate. The very same uber-partner that supercharged Microsoft’s Linux strategy, Ubuntu, came and implemented Mutipass.

So ultimately, Pipulate is the fined state of your Windows or Mac laptop after having run a rather simple script to set all this up. On Windows, it’s always best to install Ubuntu 20.04 LTS from the Microsoft Store first. That’s because I don’t want to take responsibility or have the tech support nightmare of turning the (turned-off by default) hypervisor feature on your hardware on. All hardware has and supports this, since like 2005. 2010 by the latest. But because it increases moving parts and potential system crashes, it’s turned off by default. But it’s necessary to turn on so your Linux subsystem can run properly.

So, you install Ubuntu 20.04 LTS from the Microsoft Store, and then you run the script found at DrinkMe. It’s that simple. You will now have a real copy of Python (not one of those hacked for proprietary OS’s) and be able to immediately reach it from your Windows or Mac web browser at http://localhost:8888.

Do you hear what I’m telling you? All this talk about Linux and you won’t even have to look at Linux. You won’t need to use the command-line (though you eventually should) and you won’t need to do anything different than you otherwise would if you were going the Anaconda route or jupyterlab-desktop route. You’ll just have a better Python in the same browser you always use. Bu it will be a local cloud version of Python, and you’ll be able to run daemons that run in the background and do things for you. And when it comes time to scale up, you’ll be able to do that too, because your code will be normalized and ready to run on any Linux server, anywhere (i.e. any cloud provider).

All this, and still you’re going to use Docker, I assure you. You’re also going to use VSCode and get one of the kookiest user interfaces ever created, designed to lock you into the Microsoft ecosystem. But you’ll be able to follow along with everyone else’s YouTube videos and tutorials, so you’ll have a warm and cozy feeling, save in the comfort-zone. But for those able to step outside their comfort zone, even a weeeeee little bit, a bright new future awaits you, where you’ll never go obsolete again.