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Beating AI with AI

In light of the latest achievement in Generative AI, SEO Search engine optimization is probably a thing of the past. Naturally there is a rising industry dedicated to discerning if content is AI generated. So I thought Id see if I can create a way obfuscate my AI generated content from AI detectors. The site I used was Zero GPT.

I provided it with AI generated content

The AI Revolution: Why Your Business Can’t Afford to Wait in 2025
It’s 2025, and Artificial Intelligence (AI) is no longer just a futuristic concept – it’s actively revolutionizing business success across industries. Beyond being merely an IT trend, AI has emerged as a transformative force driving operational efficiency, fostering innovation, and accelerating strategic growth. According to recent reports like those highlighted by Forbes, a significant 72% of businesses now report using AI in at least one of their functions, representing a massive leap forward from adoption rates just a couple of years prior in 2023.
Here’s a deeper look at the compelling reasons why adopting AI today is not just beneficial, but crucial for the sustained success and competitiveness of your business:
Staying Ahead of Competitors
In an increasingly crowded marketplace, early adopters of AI are already establishing clear leadership positions. They are leveraging AI to develop innovative new products and services, optimize existing offerings, and personalize customer experiences in ways that were previously impossible. Sectors such as healthcare, finance, and transportation, among others, are witnessing particularly transformative applications of AI that are reshaping their fundamental operations and service delivery.
Meeting Heightened Customer Expectations Through Personalization
Modern customers expect highly personalized interactions and tailored experiences. AI is uniquely positioned to meet these demands by analyzing vast amounts of customer data to understand individual preferences and behaviors. This enables businesses to offer smarter product recommendations, provide real-time support through AI-driven chatbots, and deliver truly customized experiences across all touchpoints. This level of personalization significantly boosts customer satisfaction, fosters deeper loyalty, and drives repeat business.
Growing Accessibility for Businesses of All Sizes
What was once considered a prohibitively expensive luxury accessible only to large corporations is now increasingly within reach for businesses of all sizes. Major tech providers are offering scalable AI solutions and cloud-based platforms that democratize access to AI capabilities. Furthermore, the proliferation of pre-built AI models and a wealth of open-source tools mean that even small and medium-sized businesses can begin to leverage powerful AI technologies without requiring massive initial investments or extensive in-house expertise.
Expanding Business Opportunities and Offerings
AI acts as a catalyst for innovation, paving the way for entirely new products, services, and opportunities to enter new markets. From enabling advanced diagnostics and personalized treatment plans in healthcare to powering autonomous vehicles and optimizing complex logistical networks, the potential applications of AI are vast and continue to expand rapidly. Integrating AI can unlock untapped potential and create entirely new revenue streams for your business.
Enhancing Operational Efficiency
AI, particularly through machine learning, significantly improves decision-making accuracy by identifying complex patterns and accurately predicting market trends, customer demand, or potential operational bottlenecks. Natural Language Processing (NLP) enhances customer interactions by automating support, analyzing feedback, and personalizing communication. AI can streamline and simplify complex operations across virtually all sectors, from optimizing supply chains in manufacturing to improving patient care workflows in healthcare and managing traffic flow in transportation.
BONUS Improving Decision-Making with Data-Driven Insights
In the age of big data, the ability to extract meaningful, actionable insights is paramount. AI excels at processing and analyzing massive datasets far beyond human capacity. This capability drives more informed, strategic, and timely decision-making across all facets of the business, including operations, marketing, finance, and product development. Moving from intuition or limited data to AI-powered insights provides a significant competitive advantage.
The message is clear: the time to integrate AI into your business strategy is now. Don’t risk getting left behind in the wake of rapid technological advancement. Embracing AI is key to staying competitive, meeting the rising expectations of your customers, optimizing your operations, and exploring exciting new avenues for growth and innovation.

So we know the algorithm works!

Now here is my attempt to camouflage the AI content from AI

AI in 2025: Jump In or Get Left Behind – What Your Business Needs to Know
Fast forward to 2025, and Artificial Intelligence, or AI, isn't some far-off dream anymore; it's actually reshaping how businesses win, no matter the field. It's more than just the latest tech buzzword – AI has really become a game-changer, helping companies run smoother, spark fresh ideas, and speed up smart growth. If you look at what folks like Forbes are highlighting, a striking 72% of businesses are already putting AI to work in at least one area. That’s a huge jump from the adoption levels we saw just back in 2023.
So, let's dig into why getting AI on board now isn't just a nice-to-have, but pretty much essential if you want your business to thrive long-term and stay in the game:
1. Keeping Pace with (and Overtaking) the Competition
Let's face it, the market's packed. Businesses that got in early with AI? They're already pulling ahead, setting themselves apart. They’re tapping into AI's power to dream up cool new offerings, make their current services even better, and give customers that personal touch—things that were, not so long ago, beyond our reach. Just look at sectors like healthcare, finance, and transport, among others; they're seeing AI shake things up in truly transformative ways, changing how they operate at their very core.
2. Giving Customers the Personal Touch They Now Expect
Today's customers aren't just hoping for personalized service; they pretty much demand interactions and experiences made just for them. AI is perfectly cut out for this. It can sift through heaps of customer information to figure out what makes each person tick—their unique likes and how they act. What does this mean for businesses? Better suggestions for products, instant help from smart AI chatbots, and interactions that feel tailor-made, no matter how or where a customer connects with you. When you nail this kind of personal approach, customers are noticeably happier, they build a stronger connection with your brand, and they keep coming back for more.
3. AI Isn't Just for the Big Guys Anymore
Remember when AI felt like a super expensive tool, something only giant companies with deep pockets could even think about? Well, times have changed. It’s becoming much more doable for businesses of every shape and size. Major tech players are now offering AI tools that can grow with you, often through cloud platforms, which really opens up access to these powerful capabilities for almost everyone. On top of that, with so many pre-built AI models available and a treasure trove of open-source tools out there, even small to medium-sized businesses can start using some serious AI muscle without needing a fortune to get started or a whole team of in-house tech wizards.
4. Unlocking New Doors and Better Ways to Serve
Think of AI as a spark plug for fresh ideas. It’s opening pathways to brand-new products, innovative services, and even chances to break into completely different markets. Whether it's enabling doctors to make smarter diagnoses and create custom health plans, making self-driving vehicles a common sight, or streamlining complicated delivery networks, what AI can do is already immense and it’s expanding by the day. Bringing AI into your operations can uncover hidden strengths and talents within your business and even carve out completely new ways to generate income.
5. Making Your Day-to-Day Run Like a Dream
AI, especially the kind that learns as it goes (often called machine learning), is brilliant at helping businesses make sharper, more accurate choices. It can spot intricate patterns in data and get surprisingly good at forecasting where the market might be heading, what customers will likely want, or where you might hit a snag in your operational flow. Then there's the AI that understands human language (Natural Language Processing, or NLP); this can make customer interactions much smoother by handling routine support queries automatically, sifting through feedback to find key insights, and helping to make every communication feel more personal. The bottom line? AI can take really complicated parts of a business and make them simpler and far more efficient, no matter what industry you're in—from ensuring parts and products flow smoothly in manufacturing, to improving how hospitals care for patients, to even helping manage the flow of city traffic.
6. BONUS: Making Smarter Moves Thanks to Data
We're practically swimming in information these days, aren't we? Being able to pull out the truly useful bits from all that data—the insights you can actually act on—is absolutely critical. And that's an area where AI truly excels. It can chew through enormous piles of information, way more than any team of people could possibly handle, and make sense of it all. This capability means the choices you make for your business—whether they relate to how things run day-to-day, your marketing strategies, your financial planning, or how you develop new products—become more informed, more strategic, and can be made much more quickly. Shifting from relying on just a gut feeling or a tiny slice of data to leveraging the deep insights AI can provide? That’s a massive leg up on the competition.
So, what's the takeaway from all this? It's pretty straightforward: if AI isn't part of your business plan yet, now's the moment to change that. You really don't want to be caught playing catch-up as technology keeps leaping further and further ahead. Getting on board with AI is how you'll keep your competitive edge, give your customers the top-notch, personalized experiences they're increasingly looking for, get your own operations running like a well-oiled machine, and discover some genuinely exciting new paths for your business to grow and come up with fresh, game-changing ideas.

And.....test results...

I consider this to be a success. Maybe with some more fine tuning I might be able to improve it, the challenge is maintaining the context and content of the article.

Sorry I cant publish my techniques, maybe in the future

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What AI taught me

So i was browsing the web and came across this paper A high-order recombination algorithm for weak approximation of stochastic differential equations a way above my intelligence level, but I always wondered how people use these crazy alien looking equations.

So i copy and pasted it to ChatGPT and the first explanation was again way over my intelligence level so I had it explain to me as if i was a teenager

Sure — here’s a simple way to think about it:

Imagine you’re trying to learn the best way to do something, like win a game or solve a puzzle. You don’t know the perfect strategy yet, so at each step, you mix different ideas (strategies) and try them out to see what works best.

Now, think of each idea or strategy as a "player" in your team. At each round (call it step i), you have some confidence in each player — that's what the weights αj\alpha_j represent. The more confident you are, the bigger the weight.

The equation is basically saying:

"Hey, after I apply this smart learning rule (called Alg and Q), I take my current team mix and recalculate my new team (for the next step, i+1) by seeing how well each idea transfers over using a table of scores (that’s the weight matrix w(i))."

So you're updating your mix of strategies based on how much each old idea contributes to new ideas in the next round.

It’s like upgrading your strategy team over time, keeping track of who’s helping the most and adjusting your trust in them.

 

So stoked! Who wouldn't want to know an algorithm to help them find the best way to do something? I love when I randomly come across such useful information on the web its like "Internet Gold".

Now how can I apply this in real life? I ask chatGPT to show me in a language I can understand.

Here’s an interactive version of the strategy learning loop in PHP CLI — it asks you (the user) to give feedback manually for each strategy in each round (e.g., "Did the user like the content? Yes or No?").

This simulates you being the decision-maker or tester of each strategy.

 

<?php

$strategies = ['popular_videos', 'similar_likes', 'geo_trending'];
$alpha = [0.4, 0.4, 0.2];

$w = [
[0.6, 0.3, 0.1],
[0.2, 0.6, 0.2],
[0.1, 0.3, 0.6]
];

function normalize($vector) {
$sum = array_sum($vector);
return array_map(fn($v) => round($v / $sum, 3), $vector);
}

function ask($prompt) {
echo $prompt . " (y/n): ";
$handle = fopen ("php://stdin","r");
$line = fgets($handle);
return strtolower(trim($line)) === 'y' ? 1 : 0;
}

function showBar($label, $value, $width = 30) {
$barLength = round($value * $width);
$bar = str_repeat("█", $barLength);
printf("%-18s [%-30s] %.2f\n", $label, $bar, $value);
}

for ($round = 1; $round <= 10; $round++) {
echo "\n=== Round $round ===\n";

// Collect feedback
$feedback = [];
foreach ($alpha as $i => $weight) {
$strategy = $strategies[$i];
$reward = ask("Did the user like content from '{$strategy}'?");
$feedback[$i] = $weight * $reward;
}

// Update using transition matrix
$newAlpha = array_fill(0, count($strategies), 0);
foreach ($feedback as $k => $scaled_weight) {
foreach ($strategies as $j => $_) {
$newAlpha[$j] += $scaled_weight * $w[$k][$j];
}
}

// Normalize
$alpha = normalize($newAlpha);

// Display new weights visually
echo "\nUpdated Strategy Weights:\n";
foreach ($strategies as $i => $s) {
showBar($s, $alpha[$i]);
}
}

 

Output example:

=== Round 3 ===
Did the user like content from 'popular_videos'? (y/n): y
Did the user like content from 'similar_likes'? (y/n): n
Did the user like content from 'geo_trending'? (y/n): y

Updated Strategy Weights:
popular_videos [███████████████████████ ] 0.65
similar_likes [██ ] 0.07
geo_trending [█████████ ] 0.28

Its pretty awesome how ChatGPT was able to take a random alien looking equations I found and break it down in a way that I can understand and even apply in my own projects.

I dive much deeper, but dont want to bore you, if your interested here is the conversation here

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Training AI what I like, and then have it swipe for me.

Had some time, so I figured Id train my first AI model—to see if I could teach a computer what I’m into and let it swipe for me on dating apps.

How I Taught My AI to Swipe Right for Me
So I got tired of dating apps sucking up my time. Endless swiping? Nope. I decided to outsource my type... to AI.

Step 1: Borrowed Some Faces
First, I grabbed about 2,200 images from a dating site. Don’t worry, it's for science. These were going to be my model’s brain food.

Step 2: Labeled for Love
Next, I split the photos into two folders:
🔥 Hot and 🚫 Not.
This part was personal—and brutally honest. But hey, the model’s gotta know what I like.

Step 3: Cleaned It Up
Before feeding the images to the machine, I used TensorFlow to clean them. I detected the face, cropped out the noise, and converted everything to grayscale.
Less distraction. More learning.

Step 4: Made It Smart
Time to train the model. Python + TensorFlow = magic.
After a few training cycles, it could tell what I find attractive with scary accuracy. Like, better-than-my-friends accuracy.


Step 5: Let It Swipe
Now the fun part: action.
I connected it to a stream of dating profiles, and it started rating them on my behalf.
High score? Like.
Low score? Pass.
Easy. Efficient. Kind of weird? Sure. But it works.

This isn’t just a tech flex. It’s a reminder of what’s possible when you mix passion, Python, and a pinch of narcissism. 😎

Want to build your own personalized AI or automate something smarter?
Get in touch with InternetTechnologyServices.com or hit up Nick Nguyen—yes, that’s me. Let’s build something that thinks like you do.

And yes, my AI still swipes on the weekends. 💘

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Tracking OC COVID-19 progression per city

The pandemic has ended thank god! Unfortunately the data is no longer avaliable so i can longer provide a live example but here is a screen shot of what the program looked like.

Thanks to the current pandemic lock down, I have even more extra time on my hands.  So i wrote a program that collects the OC gov's COVID data per city, so i can play with the data and maybe see which cities to avoid...Originally when i started Irvine and Newport Beach had the most cases, but then Anaheim quickly jumped to the the top in a few days alongside Irvine (as of april 7th). Southern cities have had minimal cases.

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My 2 best rides for 2019

So i started cycling in december and managed to put in 300 miles in my first month.  something i never even thought was possible. What helped keep me engage was the strava app as it appeals to my competitive spirit, and using the latest technology to monitor and measure my biofeedback, learning about all the health variables and watching there progression over time also helped keep me motivated, most fasinating was learning about the heart rate variable and all that it entails.  so in 2019 i completed lofty rides that i never thought was even possible for myself.

laguna niguel to oceanside

riding for 9 miles on the  freeway was interesting to say the least.

 

laguna niguel to newport beach

great network of bike trails from irvine all the way to newport, i plan to do a “there and back” trip this month some time.

i plan to cycle the entire southern california coast from the north end of LA to San diego in the month of january. i also entered the january strava challenge 1250 km in one month. i am currently on track to get the trophy on it.

 

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My latest hobby


Thanks to one my best friends for hooking me up with this mechanical masterpiece.

This trek domane is made of carbon fiber so its light as a feather, and like riding a bullet.

My goal is to ride from Laguna Niguel to Oceanside, and then take a train back, its just about a 40 mile ride, which is a lot for my out of shape ass. but do-able.  So in preparation I’ve been training a couple times a week doing a beautiful 12 mile ride from my house in Laguna Niguel to the house my family is building in San Clemente, meanwhile learning about all the technology on the bike and how it applies to my own physical stats.

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Syncing a lot of data from a directory to Amazon S3 Cloud

In an attempt to upload a directory 40+ Gigabytes worth of files on t0 Amazons S3.

Typically I use the AWS Console, but I ran into issues, I believe my browser was timing out.  I tried a couple downloading and installing third party applications, the only success I got from that was possibly inheriting additional malware.

I did manage to find a solution, I tend to pass on the command line tools, but I was desperate, turns out in this instance command line is actually sooo much easier and stable, This is basically all I had to do.

Download AWS CLI  and Install it

Open your terminal and run

aws configure

youll need to provide it your AWS ID, AWS KEY, Region, and a format (I choose JSON). Then all i had to do was run the following command to start syncing

aws s3 sync C://Your_Local_Directory_To_SYNC s3://your_S3_bucket

if you want to see more options simply run. You can sync bi-directionally or from s3 bucket to bucket by interchanging the last two parameters accordingly

aws s3 help

You are now free to do whatever it is you do.

Note: If you step away from your computer for too long or your computer goes inactive, this will discontinue your transfer. If that happens rerun the command to continue.

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