Pattern Recognition – We’re Getting Dangerously Close To Trying To Play God

These 2 stories struck me as similar, despite being completely different. What they have in common is the leaps and bounds of technology into areas where humans have shown deficiencies. In theory, they are the same, given the title of this post.

Story One:

How CRISPR Is Poised to Rewrite the Story of Memory Loss

CRISPR, a powerful gene editing tool, is revolutionizing our understanding and treatment of memory loss, particularly in conditions like Alzheimer’s disease. This technology allows scientists to modify genes with unprecedented precision, opening new avenues for research and potential therapies.

## Understanding Alzheimer’s Disease

Alzheimer’s disease is a complex neurodegenerative disorder characterized by progressive memory loss and cognitive decline. It is associated with the accumulation of amyloid beta plaques and tau protein tangles in the brain, which disrupt normal neuronal function. Recent studies have highlighted the role of specific proteins and pathways in the disease’s progression, offering potential targets for intervention.

## CRISPR’s Role in Alzheimer’s Research

CRISPR/Cas9 gene editing has been instrumental in studying Alzheimer’s disease by allowing researchers to manipulate genes involved in the disease. For instance, scientists have used CRISPR to create neurons lacking tau protein, a key component of neurofibrillary tangles, and then reintroduce specific tau isoforms to study their effects. This approach has identified the 1N4R tau isoform as a critical driver of neuronal damage, providing a new target for future treatments.

## Targeting Memory Loss with CRISPR

Beyond Alzheimer’s, CRISPR is also being explored for its potential to erase or modify memories. Researchers at Peking University have successfully used CRISPR to remove fearful memories from rats, suggesting a possible application in treating conditions like PTSD. This breakthrough raises both hope and ethical questions about the manipulation of memories.

More here if you want to read it

Story Two:

US Department of Energy Forms $1 Billion Supercomputer and AI Partnership With AMD

Scientists and companies are trying to replicate fusion, the reaction that fuels the sun, by jamming light atoms in a plasma gas under intense heat and pressure to release massive amounts of energy.

“We’ve made great progress, but plasmas are unstable, and we need to recreate the center of the sun on Earth,” Wright told Reuters.

Source


What is the pattern? Look at the title. Every time in history that we try where we don’t understand the ramifications, either another problem is created or we mess things up (FUBAR).

The COVID-19 vaccine has shown us that we aren’t yet competent with gene editing. Introducing a spike protein in a human for a virus that 99% of the population survived was ill-advised. It caused more health problems than it cured.

We have deciphered the Genome equation, it doesn’t mean we have any idea how cutting out potentially defective DNA is going to affect the rest of the living organism (I’m hoping they at least do the lab rat tests this time before authorizing a cure they intended to force on everyone).

For the record, I’m for helping the memory impaired. Just use the right method

Next, how will we contain something that is the temperature of the core of the Sun? The Bikini Islands are still uninhabitable from the nuclear tests we conducted more than half a century ago.

I’m sure a reader will criticize my logic (I get that a lot at first until I’m right), but there are places we need not always go, at least until a proper structure to prevent harm is established.

For example, bad guys are already using Artificial Intelligence for terrorism and weapons to hack into sensitive places. The less moral have found a new way to ruin their lives with porn. That is what I mean by developing the proper boundaries to control the issues of the two stories. That alone is another pattern.

How AI Is Becoming Weak Link In Cybersecurity

We are not in the 23rd Century yet, when Star Trek took place. They had a Matter/Anti-Matter Warp Drive. Even that killed Captain Spock in the Kobayashi Maru.

As for me, the Crisper technology is scarier, as there is so much we don’t know about the human body and how it functions. Don’t get me wrong, I’m for curing diseases and helping people out, but in the big picture, we are in the infancy of this. I’m not even sure we should be going there

Patterns reveal themselves. One of the biggest is that people don’t learn from their past mistakes or the mistakes of others.

YMMV, but have a good think about it before you discard the logic of the pattern.

Will the Deep State Be Beaten via a ‘Kobayshi Maru’ Maneuver by DOGE Team?

Science fiction fans will recall references to the Kobayashi Maru maneuver mentioned in Star Trek.

The Kobayashi Maru is a no-win scenario training exercise in the Star Trek universe designed by Starfleet Academy to test cadets in a command position.

Will the Deep State Be Beaten via a ‘Kobayshi Maru’ Maneuver by DOGE Team?

In the simulation, the cadet is in command of a starship that receives a distress call from a fuel ship, the Kobayashi Maru, which is stranded and damaged in the Neutral Zone between the Federation and the Klingon Empire. To rescue the ship, the cadet must enter the Neutral Zone, which risks an attack by the Klingons.

If the cadet attempts the rescue, a large Klingon force targets their vessel. The cadet is forced to choose between attempting to rescue the Kobayashi Maru or leaving the fuel ship to certain destruction.

During the past 2 weeks, the DOGE team has been using their tech savvy and the power of Artificial Intelligence and programming to sweep through the massive data sets accumulated by government agencies. They have connected funding amounts to their final destinations.

Fraud and graft can’t hide behind gigantic data sets and lazy employees anymore.

The DOGE Crew’s work has allowed President Donald Trump, Sec. of State Marco Rubio, and other agency administrators the ability to defund activities and groups not aligned with the “America First” agenda and the will of the American people who elected Trump into office….and were comfortable knowing that Trump had assembled a team he was bringing with him.

Joe Lonsdale is an American entrepreneur, venture capitalist, and philanthropist known for co-founding several influential companies (Palantir Technologies, Adepar, and OpenGo) explains the power of the “reprogramming” that is occurring.

“I have mentors in the Reagan administration who came in looking for [government waste]. Those people were not technical. When they went to the bureaucracy, and they asked questions, there are so many ways of obscuring and blocking and deterring.

“Elon got root access, and he went to the tech systems themselves.

“No one has done this ever.

“No president had ever had tech people around him.

“They went to the systems, and they started finding things like, my goodness.

“These people who work for the agencies tried to confront them and say, no, you can’t look at the systems. They’re freaking out.

“It’s very transparent: They went to the systems, they actually saw the payments and the payments were going out to crazy shit.

“There were [duplicated] payments to people with the same Social Security numbers and payments to people with no number.

“There are payments to Internews Network, which is training media all around the world on how to have a certain point of view that’s very left.

“I think this is amazing, but people want to slow them down.

Do they want to slow them down from stopping their grift? This is really the biggest question here.”

Will the Deep State Be Beaten via a ‘Kobayashi Maru’ Maneuver by DOGE Team?

When Artificial Intelligence Can Be Beat (And How To Do It)

I expect a lot of clicks from China on this, they always do when I write about either them or technology.

I found this out playing Duo Lingo, where you learn a new language. They use marketing tools to keep you interested and try for more points such as doubling your score if you finished a lesson before 12.

The AI program does one of two things. Foremost, it gets you involved and competing at a higher level trying harder and spending more time on the app. For learning it is a good thing. For an App company selling advertising, the more time on their site, the more ads they sell.

The second thing it does is discard those who give up killing themselves when they are put into groups with more aggressive players. The lower performing scorers are segregated into a less-competitive group. This group isn’t worth trying to squeeze more money or time out of because they are casual App users.

One of the marketing techniques is a tournament where only a few advance, the aggressive players whom the AI has developed. I’ve ignored it twice because it becomes a 3 week time suck. For me, spending time only on one thing burns me out and I lose interest. I only want to play on my terms, something they didn’t calculate.

THE KOBAYASHI MARU

I love to win and do a lot, like last week. I wanted to beat not only the other players in my division, but the AI behind the game. This is the fault of much of AI. It has to assume human behavior, but goes on perceived behavior. Humans can be random thinkers or those outside of the AI logic.

Winner!

Any reader of my blog knows I look for patterns to make my life easier and better. Sometimes it is is just for the satisfaction of figuring it out. It was like learning the jab was poison and avoiding it while the sheep lined up to get their daily ration.

It’s almost like living in the Matrix and avoiding the Mr. Smiths of the world.

I was at IBM during Watson and knew the tech companies were seeing this as a potential holy grail. I couldn’t out develop the great minds that write AI, but beating them at their game was equally gratifying. I observed what they were doing and always considered the weaknesses.

Ken and Brad didn’t have a chance

Why did I want to do this? I know the Snidely Whiplashes of the world want to take over and control others, like Big Tech and the WEF. Knowing that they are beatable at their own game is valuable. It is like taking the red pill and being in the matrix.

MY STRATEGY

I found that in between the two groups above is where the programmers weakness lies. Those that don’t seem to try or or try outside of the AI rules. It’s AI learns at a machine rate, but not at a human rate.

It’s like when Watson learned to hunt for Double Jeopardy clues and was faster to the buzzer than humans, but AI can be out thought or out maneuvered.

I decided to hold back my scoring for a few weeks to fool the AI into putting me into a lower scoring crowd. I’ve done many thousands of points and finished in the top group without winning, only to be promoted to a higher scoring group. I wanted to see if I tried to score less, would the AI would “learn” that I’m a low scorer.

As I suspected, the groups I got put in were less and less aggressive. The point totals to keep advancing were less and less.

I knew I was gaining ground on the AI weakness and could be manipulated.

Last week, I kept to my minimal effort while learning (both foreign languages and the AI engine behind the App). I noticed that I have been put in lower performing groups. I did my daily amount I’d allowed myself to have and was slowly advancing up the ladder. I was using the AI engine to put me where I wanted to be, not in it’s calculations.

By Friday, I was in the lead with far less points than I’ve done many times in only a day (it starts on Sunday). I had to rely on human behavior that my group weren’t aggressive players, but that was my AI bet that we would be with each other. I was right. I predicted the AI pattern and beat it.

Beating the AI was far more of a challenge than beating the other players.

CONTINUING TO BEAT MACHINES

I knew I’d won by Saturday and did the minimal on Sunday to score. Why? To keep fooling the AI into believing I am a low scoring player. My goal was to win at the lowest level to keep getting promoted into groups that I could predict, and to keep proving that AI is beatable and malleable.

I’ll find out this week if that is fully true as I’m in a tournament for winners now (another marketing ploy) and I will try to finish last and keep advancing. I normally like to crush the competition, but winning by thinking is far more satisfying than winning by brute force. It’s as if you are running the game and the other players.

THE TURING TEST

Of course this is famous, can a machine behave like a human (roughly translated by me). Of course Duo Lingo isn’t as complex as war or landing on Mars, but there are hundreds of millions of humans. That is what they want AI to control, humans (like their free speech on social media).

I wanted to beat a machine, AI and find the holes that are in AI. It is programmed by humans still and can always be beat. They are not sentient. Find the pattern.

OTHER AI CHALLENGES

I play Wordle like a lot of others. I’m not busy trying to win right now, I’m trying to trick their AI into a pattern that I can out think their word selection.