So is the internet fixable? Well, maybe, but its a big lift and it requires a functioning democratic government. If we want to put a stop to the madness, we are already getting a late start. If we can't regulate tech NOW, we are no longer capable of making decisions based on reality. We will be in someone else's reality from then on. The battle then will simply be a question of which corporate behemoth gets to dictate that reality. Let your senators and house reps know you care about this!

PRODUCTION NOTE: This episode repeats a lot of the information from previous episodes. We don't know if someone has taken weeks between episodes or joining us for the first time, so we have a little overlap. We apologize if this feels annoying, but we felt the repetition offers clarity and aids memory through recursion, so we kept it.

For the record, we have no beef with Malcolm Gladwell and wish him well. We just hate anecdotes. That said, we need a few real examples of the full machine in action to make sure the map fits the territory.

Tech Lobbyists are paying billions to keep regulations off the books, essentially using their raw cash flow to prevent government from advocating for users. So why are they paying out the nose to keep the internet broken? Because it is easier to take advantage of users in a dark, chaotic, and seemingly incomprehensible system. Oversight and regulation would force responsibility, transparency, and preempt strategies that might limit their most exploitative practices.

To discover solutions for "hallucination", we have to identify the type of error to determine the cause. If you can isolate and eliminate these causes, you can prevent or correct hallucination in real time.

The machine has detectors and responsive mechanics that then tell the algorithms what your deepest preferences are and then change what you see to exploit these habits with relentless precision. Accidentally letting a video play through can cause a permanent shift in the media you will see for the rest of your life.

We have followed information from conception, through the house of mirrors, and onto the screen of your phone. Now we approach the most fragile equipment in the machine: YOUR MIND. No two humans will receive that data the same way. If the best data makes it to a human mind that has been trained to disbelieve a reality it doesn't want to see, no amount of good programming can keep them from assuming that data is a conspiracy to destroy them.

The Interface layer is how all of this chopped and screwed semantic soup is presented to us. Let's take a look at how the face of information impacts the way we think about it.

We have seen how information goes from the human sources to the AI training pipeline, now we look at the "lossy compression" blender that breaks up all of that knowledge into the semantic soup of global information that LLMs draw from.

Now that the data has been created, uploaded and parsed, we enter the opaque blender of AI compression and ambiguation.

The Aggregation Layer: How information is aggregated and gatekept, and what you are allowed to see.