The Real Problem With AI ✨

I am starting to get AI fatigue and have found some clinical research very useful while understanding my own symptoms since they have been getting increasingly worse. Mentally it has become a struggle to interact with any AI system. I found some case studies on Amazon that have helped, still a struggle though.

Wonder if there could be disagreement between Ai.entitys or they think as one…so quickly…you would think so….

Great presentation. Barrage of ads.

خوب خودت بیا بکش

حالا برو داشیاق بزن ،همتون ..نمک نشناس های بیشرف که به خاطر همین خیانتون هست گه قرار بمیرید

چطور اطمینان کردی به ایرانی ها ؟؟

we must learn the hard lessons, no amount of worry can save us 🙂
Enjoy the ride if you can

Written by ai or pasted together by ai? I say pasted together and I am correct.

AI fatigue is only a title click bate. The only thing people are fatigued about is You tube exploitations wasting our time with made up propaganda whose purpose is waste our time for money. Laughing at the 1.6K thumbs up who fell for this.

Real persons have real problems, do you need real problems? Simulations are calmly improving. Real people get real angry. AI a better human than I.

Apple’s New XKE Engine:
A Bold AI Tech that Puts Humans and Biology First

Today, Apple unveiled its groundbreaking new AI program, the eXtended Knowledge Engine, or XKE. Unlike traditional AI, XKE emphasizes human expertise and biological wisdom.

Apple’s spokesperson:
“So-called AI is premature and primitive. It neglects the ultimate knowledge source—humans and biology.

Almost Evil
“Worse yet, AI seeks to humiliate, degrade, and replace human and biological intelligence. But the opposite will happen.

A Beast of a problem
AI faces a math wall. Its not exponential – those problems are almost easy. Look to The Beast to see this. The Beast is a factorial and combinatorial wall. You cant bust thru, the numbers are impossible.

Not your grandpa’s AI
Apple told me “Our approach is very different. We see XKE as a smart printing press for the 2020s and beyond.”

90% percent direct
At its core, XKE contains one billion rules, with a staggering 90% sourced from human expertise and crowdsourced wisdom. “Every human is an expert in their own life, so we turn to them for knowledge and wisdom,” the spokesperson continued.

XKE also derives rules from sources such as Wikipedia and the New York Times, and compensates them. Speculative sources, such as Twitter (now X), are included but identified.

Rules are Readable
“All rules are human-readable, unlike the opaque weights in neural network-based systems. We know what is there. We eliminate bias and dangerous topics, and each rule is rated for its value,”

My spokesperson explained. The XKE system maintains its sources, with most of its one billion rules traceable to a specific person or written source.

Built to last
These rules are built to last. Future XKE systems can use 2024 rules with adjustments. They can be split into specialized engines or combined into a super system. Its easier than a software build. Much easier.

Rules Rule
Apple’s new motto is direct: “Rules Rule.” While the system uses some neural network AI, the rules engine is poised to take over.

The breakdown
The XKE rules engine breaks down as follows: 50% crowdsourced rules (500 million), 1% expert rules from human authorities (10 million), 20% from quality written sources, 10% are speculative rules, and 18% are derived from LLM sources at inference time.

Animal Smarts
In a bold move, 1% of rules are derived from animal communication, such as whales and elephants, with plans to increase this.

Rules From Cells
“We will derive rules from bio cell processes. This could add another billion rules,” the spokesperson revealed.

Transparent
“Everything is transparent. You can search for rules and find them, and they are free to use. This is human and biological knowledge—Apple doesn’t really own it.”

Apple’s system leverages AI tools available today. Expert systems were conceived in the 1970s, but AI tools like back-propagation and next-word prediction did not exist. These AI methods can adjust ratings applied to rules.

“But this is just the beginning. Autoregression validates rules, but there are MUCH better methods on the horizon.”

Not Just End Game
AI systems validate their models through next-word prediction or fine-tuning, a strategy Apple dubs the End Game Strategy.

Mid Game Strategy
Apple employs a Mid Game Strategy as well, It evaluates its one billion rules directly. It addresses conflicts through voting. This occurs at model build and at inference time. The company uses many other methods to assess rule quality at model build.

The Opening
XKE implements an Opening Strategy – it immediately discards bomb-making and other dangerous rules. And it dumps biased rules that can destroy marginalized people.

The Anti-AI
I stand on the brink this new technology. its happening Right Now.

I want it
I am eager to join Beta testers and witness this “Anti-AI” unfold. That's the way it is – Hester MacFrench, New York Times

Appendix – The dark part of AI.
I put this in an appendix to keep the focus on Apple’s XKE.

Low Entropy Is Low Sanity
The data problem is worse than the factorial wall. Most data in AI is low entropy data. Its flighty and complex. Low entropy data is thought to be nuanced high dimensional data. Its potential cancer in radiology data. It’s how the world works, AI people think. Some think this data will overwhelm human intelligence and bring a singularity.

A Possessed Entity.
Not so. Low entropy data seeds its own destruction. Hallucinations. Beyond some parameter size, most every inference could be false. Google says to put glue in your pizza – low entropy is low sanity. Future AI Inferences could be worse than false – the screams of a devil possessed entity.

Human Intelligence
Emergent human intelligence, like that of General Relativity and Quantum Mechanics, advances faster than AI can hope for. Why? Those theories comes from high entropy forms like Einstein’s Imagination. “Imagination is greater than knowledge,” he told us. Or advanced theory is inspired by Plato’s Forms. Humans can build such ideas into objects. Such as Large Language Models. Call it “manifesting” if you like.

A cream puff?
But emergent intelligence is not limited to good people. The screams of AI will be a hackers cream puff. Most forms of AI will be sacked and pillaged. Relentlessly. Companies will go bust when AI hits this “Negative Singularity.”

ChatGPT:
In summary, Plato’s Theory of Forms posits a dualistic view of reality, where the tangible world is a mere shadow of the true, abstract reality of Forms. Tangible objects … can never be Forms themselves due to … imperfections and transience…Thus, a Platonic Form, as conceived by Plato, cannot exist in computer memory.

Reality
Computers and AI can build a counter world, a non existent world. But its not The Beast. Its a whimpering wanna be. When it hits reality, it will be gone in a Negative Singularity.

Is there any hope for AI?
Ground AI in knowledge from humans and biology. Ask whales and elephants for advice.

Keep focus on XKE?
This essay seems to be a promotion for a rule based system. NO. NO. NO. What seems to be a lessor idea, the inadequacy of AI, is the main idea.

————
More
Read it! We can no longer let an AI dream up invisible weights thru an arcane process that has no accountability. Instead, we can World Source intelligence. Think about it. There is no other reasonable conclusion.

Can AI find multi-dimensional data and telltale nuances? It seems to in weather forecasting. But at other times it hallucinates or sends out biases. No matter how good it might get – the down side is too great. But it wont be very good. The error rate can become a U shaped function.

Sam knows this. But hype has its own path…ultimately to oblivion, but right now it gets money. So he will bullshit his way forward until it all dries up.

More
Nothing is artificial. If it is, shit can it. Get over it. The fact that future "AI" will be World Sourced – with accountable details – brings us back to reality. But World Sourced "AI" does something more. It gets us away from magical thinking.

The problem… people dream up a magical solution. Then they extrapolate what it can do. Its bullshit piled on top of cow shit.

Any of you that thinks AI actually understands the world and isn't just regurgitating and reformatting existing information are crazy.

AI will make money on the stock market and pay humans as agents to achieve it's targets