The cotton candy machine operator might be about to lose his job, but we’re having a great time.

Referred to as a thorn.

I particularly enjoy the fourth from the top.

VPNs help your privacy against ISPs, not cookie tracking and malware like Facebook.

It is possible to think of time as a ‘line’ with events strung on it like flags/tags.

Some people believe there are points at which events seem like they could result in different outcomes, like flipping a coin. They flip a coin and it comes up ‘heads’ but they can imagine a world where the flip came up ‘tails.’

Some people even think both the ‘heads’ world and the ‘tails’ world are equally real, just that people in one cannot interact with the other. Both worlds continue forever.

These are ‘parallel’ or ‘alternate’ timelines.

That’s probably a joke for legal reasons but I have to wonder how often someone like Vance thinks the phrase, ‘One little push…’

Not until after the trial.

Also, what is that… what appears to be a baseball, but green with red stitching?

Second. Someone did the United Healthcare guy already.

That is so complex, it’s hard to point at all the contributing causes.

• Unhealthy food cultures
• Profit focused food system
• Distorted preferences
• ‘food deserts’
• cost/value didistortions
• oligarchic politics destroying public welfare spending
• oligarchic media destroying public good will
• knock-ons from housing speculation
• Reproductive care obstruction
• subtle conflation between starving and malnourished

If you are five and asking to see a gang bang with politicians’ wives, I’m telling your mom.

But seriously, if you want to understand things, here’s a boil down:
There are many types of “AI.” The two you, as a non-researcher, are likely to come into contact with are LLMs (Large Language Models) and genAI. (generative AI)

LLMs work like autocomplete. In a similar way you can type ‘C-H-O-C’ into your phone and it can predict you probably want to type ‘chocolate’ or ‘chocks’ because that sequence of letters usually leads into one of those words, an LLM can take the prompt ‘how to I center a div?’ and predict the next piece of text will begin with ‘The’ because the pattern is similar to things seen on many websites that were in the data used to create the model. The system does not think or understand, just predicts the next piece of text.

The other type of AI, which you reference indirectly, is genAI. GenAI is a system that has been trained on many large data sets where there is a picture and a description of that picture so when shown a picture of a dog, it can return a probability the shown image is a dog. When the math is run backwards, it can turn the word ‘dog’ into a potential picture of a dog, and repeatedly tweak it to create something that more and more reads to the system as ‘probably a dog.’

As to what you can do with these systems, that depends. Every implementation of the idea has different rules and limitations. Some you might be able to put that prompt into. Some sites filter your prompts. The general rule at this point though is that it’s kind of pointless. You aren’t likely to get anything amazing. It’s all going to just be mediocre at best unless you have the resources to burn on making something bespoke, but at that point you could probably spend less money finding a bunch of look-alikes for those women and hiring them to be in a porno like people did with that Sarah Palin porno in the days before AI was talked about so much.

Trojans: ‘Wow, they made us this big cool horse as a gift for withstanding their little tantrum? Nifty. Let’s install it right outside the gate so people can see it as they come in and see how great we are without blocking our roads.’

Wooden horse: ‘Mother fucker!’