#machine learning and deep learning

[full-stackmobiledeveloper]

Behind the Code: How AI Is Quietly Reshaping Software Development and the Top Risks You Must Know

AI Software Development

In 2025, artificial intelligence (AI) is no longer just a buzzword; it has become a driving force behind the scenes, transforming software development. From AI-powered code generation to advanced testing tools, machine learning (ML) and deep learning (DL) are significantly influencing how developers build, test, and deploy applications. While these innovations offer speed, accuracy, and automation, they also introduce subtle yet critical risks that businesses and developers must not overlook. This blog examines how AI is transforming the software development lifecycle and identifies the key risks associated with this evolution.

The Rise of AI in Software Development

Artificial intelligence, machine learning, and deep learning are becoming foundational to modern software engineering. AI tools like ChatGPT, Copilot, and various open AI platforms assist in code suggestions, bug detection, documentation generation, and even architectural decisions. These tools not only reduce development time but also enable less-experienced developers to produce quality code.

Examples of AI in Development:

- AI Chat Bots: Provide 24/7 customer support and collect feedback.

- AI-Powered Code Review: Analyze code for bugs, security flaws, and performance issues.

- Natural Language Processing (NLP): Translate user stories into code or test cases.

- AI for DevOps: Use predictive analytics for server load and automate CI/CD pipelines.

With AI chat platforms, free AI chatbots, and robotic process automation (RPA), the lines between human and machine collaboration are increasingly blurred.

The Hidden Risks of AI in Application Development

While AI offers numerous benefits, it also introduces potential vulnerabilities and unintended consequences. Here are the top risks associated with integrating AI into the development pipeline:

1. Over-Reliance on AI Tools

   Over-reliance on AI tools may reduce developer skills and code quality:

     - A decline in critical thinking and analytical skills.

     - Propagation of inefficient or insecure code patterns.

     - Reduced understanding of the software being developed.

2. Bias in Machine Learning Models

     AI and ML trained on biased or incomplete data can produce skewed results:

     -Applications may produce discriminatory or inaccurate results.

     -Risks include brand damage and legal issues in regulated sectors like retail or finance.

3. Security Vulnerabilities

     AI-generated code may introduce hidden bugs or create opportunities for exploitation:

     -Many AI tools scrape open-source data, which might include insecure or outdated libraries.

     -Hackers could manipulate AI-generated models for malicious purposes.

4. Data Privacy and Compliance Issues

    AI models often need large datasets with sensitive information:

    -Misuse or leakage of data can lead to compliance violations (e.g., GDPR).

    -Using tools like Google AI Chat or OpenAI Chatbots can raise data storage concerns.

5. Transparency and Explainability Challenges

   Understanding AI, especially deep learning decisions, is challenging:

   -A lack of explainability complicates debugging processes.

   -There are regulatory issues in industries that require audit trails (e.g., insurance, healthcare).

AI and Its Influence Across Development Phases

Planning & Design: AI platforms analyze historical data to forecast project timelines and resource allocation.

Risks: False assumptions from inaccurate historical data can mislead project planning.

Coding: AI-powered IDEs and assistants suggest code snippets, auto-complete functions, and generate boilerplate code.

Risks: AI chatbots may overlook edge cases or scalability concerns.

Testing: Automated test case generation using AI ensures broader coverage in less time.

Risks: AI might miss human-centric use cases and unique behavioral scenarios.

Deployment & Maintenance: AI helps predict failures and automates software patching using computer vision and ML.

Risks:False positives or missed anomalies in logs could lead to outages.

The Role of AI in Retail, RPA, and Computer Vision

Industries such as retail and manufacturing are increasingly integrating AI. 

In Retail: AI is used for chatbots, customer data analytics, and inventory management tools, enhancing personalized shopping experiences through machine learning and deep learning.

Risk: Over-personalization and surveillance-like tracking raise ethical concerns.

In RPA: Robotic Process Automation tools simplify repetitive back-end tasks. AI adds decision-making capabilities to RPA.

Risk: Errors in automation can lead to large-scale operational failures.

In Computer Vision: AI is applied in image classification, facial recognition, and quality control.

Risk: Misclassification or identity-related issues could lead to regulatory scrutiny.

Navigating the Risks: Best Practices

To safely harness the power of AI in development, businesses should adopt strategic measures, such as establishing AI ethics policies and defining acceptable use guidelines. 

By understanding the transformative power of AI and proactively addressing its risks, organizations can better position themselves for a successful future in software development. Key Recommendations:

Audit and regularly update AI datasets to avoid bias.

Use explainable AI models where possible.

Train developers on AI tools while reinforcing core engineering skills.

Ensure AI integrations comply with data protection and security standards.

Final Thoughts: Embracing AI While Staying Secure

AI, ML, and DL have revolutionized software development, enabling automation, accuracy, and innovation. However, they bring complex risks that require careful management. Organizations must adopt a balanced approach—leveraging the strengths of AI platforms like GPT chat AI, open chat AI, and RPA tools while maintaining strict oversight.

As we move forward, embracing AI in a responsible and informed manner is critical. From enterprise AI adoption to computer vision applications, businesses that align technological growth with ethical and secure practices will lead the future of development.

[textsearchbradleycarlgeigerbrad]

TEXT SEARCH BRADLEY CARL GEIGER AND BRAD GEIGER AND EVERYTHING ASSOCIATED

BRAD GEIGER AND CENTRAL INTELLIGENCE AGENCY

BRADLEY CARL GEIGER AND CENTRAL INTELLIGENCE AGENCY

BRAD GEIGER AND WIKIPEDIA

BRADLEY CARL GEIGER AND WIKIPEDIA

[hermanlowelillyrobertchamberlain]

HERMAN LOWE LILLY ROBERT CHAMBERLAIN

[disease]

Garry Kasparov, world champion chess player, succumbing to his public defeat by Deep Blue, IBM: a 'supercomputer' in development at the time. — MAY 11, 1997

[cellphoneradiotowerswhitetailln]

IOTA BETA MU

INTERNATIONAL BUSINESS MACHINES IS BEING USED

THE DOWNGRADED EXTRA, DELIBERATELY INCREASED IN NUMBERS INSTANCES ESPECIALLY, BY CRIMINALS FROM COMPLETELY OUTSIDE THE NEIGHBORHOOD WHO COMPLETELY HAVE PERCENTAGE-WISE NEVER BEEN IN LARGE SCALE CONTACT WITH MY LOCAL DOWNGRADE RELATED CRIMINALS YET LOOKED DOWN AT STUMBLING FOOTPRINTS MARKING THE MUDDY GROUND, AND KNEW, TRUTHFULLY THAT THOSE LIKE THEM CAUSED THAT LEVEL OF STUMBLING THROUGH COMPLICATED MACHINATIONS AND THAT THEY SHOULD DEFINITELY FOLLOW THEM TO SOURCES. SOURCE. OF MULTIPLE UNRELATED SETS OF STUMBLING FOOTPRINTS.

IBM IOTA BETA MU INTERNATIONAL BUSINESS MACHINES IOTA BETA MU INTERNATIONAL BUSINESS MACHINES IBM IBM TAPE IS DOWNGRADE FLAT SCREENS FOR LOOKING AT DESKS AND STATIONS ARE IN YOUR BUILDINGS

WATCH ARROWHEAD STADIUM...

;

[puppetmaster13u]

hi I’m back again to ask about the down in the deep au

How’s Danny handling the whole deaged/transformation into sea Creature/melding/not having his full power set? Also how is he feeling about his new guardian figure(?)

Does he miss his human feet

Are you in my google docs lol?

He actually is more than a hint hysterical when he first realizes his legs are gone. And doesn't realize how 'small' he is at first or that he doesn't have his powers thanks to the fact he was already exhausted and such from his Wail and previous battle. Needless to say he does kind of panic when he realized that the few powers he has are limited AF.

He's actually kind of neutral towards Sebastian at first, but does end up warming up towards him. Er, it takes a tiny bit at first because he holds a grudge for carrying him everywhere, he's sure this place can't be more dangerous than other places he's been!

He's actually struggling with not having legs, seeing as the only time he's had a ghost tail, or any tail really, up until this point is in flight. And it didn't have a fin, so he's incredibly clumsy. (There are many swimming lessons in his future to help him get used to legless movement, along with a bit of hand-holding to his embarrassment)

So all in all, he could be handling it worse at the moment. Could be handling it better, but he could be handling it worse too.

[travel-learn-repeat]

AI Basics for Dummies- Beginners series on AI- Learn, explore, and get empowered

For beginners, explain what Artificial Intelligence (AI) is. Welcome to our series on Artificial Intelligence! Here's a breakdown of what you'll learn in each segment: What is AI? – Discover how AI powers machines to perform human-like tasks such as decision-making and language understanding. What is Machine Learning? – Learn how machines are trained to identify patterns in data and improve over time without explicit programming. What is Deep Learning? – Explore advanced machine learning using neural networks to recognize complex patterns in data. What is a Neural Network in Deep Learning? – Dive into how neural networks mimic the human brain to process information and solve problems. Discriminative vs. Generative Models – Understand the difference between models that classify data and those that generate new data. Introduction to Large Language Models in Generative AI – Discover how AI models like GPT generate human-like text, power chatbots, and transform industries. Applications and Future of AI – Explore real-world applications of AI and how these technologies are shaping the future. 

Next video in this series: Generative AI for Dummies- AI for Beginners series.  Learn, explore, and get empowered

Here is the bonus: if you are looking for a Tesla, here is the link to get you a $1000.00 discount 

 Thanks for watching! www.youtube.com/@UC6ryzJZpEoRb_96EtKHA-Cw

[itskaist]

What is Josiah’s relationship towards his regene tattoos?

Thank you once again for asking! <333 Getting any asks about Josiah always makes my day! Took me a moment to reply because uhhh- [wilhelm scream], but I hope it also gave me the time to ponder some more on this topic.

Under cut as always, though not as long as before. Instead, got… weirder? Question mark?

(tw self-harm, and other Sidestep-typical dissociative issues)

Oh God. He hates them. Burns on his skin, bondage, fish suffocated in plastic. Of course, the most basic reason being that they make it hard to hide, the paranoia seeping in any time there was a rupture in his Sidestep suit. Wearing layers in the Los Diablos heat, too, unbearable. But most of all, the personal - the inhumanity marking him, staining him, can't wash it off, can't cut it out, just like he can't excise his own past. His own nature. The tattoos are a symbol of that, the final leash, a reminder that no matter how far he might run, how thouroughly he might try to remake himself, he will always be a sad little tool in the toolbox. Still cowering in the corner of his cell.

He just can't look at himself. Can't. He will brave it when he needs to, when he needs to sew himself up, but otherwise? Showering in the dark, though to him the tattoos might as well be bioluminescent. An anglerfish. Get close, get bit. Mirrors smashed on a bad day, then covered up in curtains or tape. Can't be bothered to replace them. Shaving in fractured reflections, a thousand funhouse faces. Can't look at his own face, no, no. Having a body at all, a body they made, they groomed, being touched, prodded, examined, evaluated, a racing horse. Gets lame, gets shot. …Proud of every single scar, though, marring their prize pet. Self-harm. Them-harm. A disconnect between the body and mind, body was theirs, I am my thought, I think therefore I am, therefore, therefore, by cutting the body, I am harming them, not myself. Blood down the drain.

The tattoos are an easy scapegoat, too. A convenient excuse. Couldn't get closer to Ortega, no, never, because you could never show skin, and this is what he would want, right? What normal people want. What People want. Not-People don't show skin and he'll either get bored with you and drop you, or get suspicious and drop you. Down, down, down the drain. A solid self-hate spiral, if you dare say so yourself.

Hates seeing his own face in the mirror. Wrong. Boney. Bones… wrong. Set and reset. Can't reset a face. Only, hah, you can. A prettier one. More familiar than this. No need to shave, no scratch, no itch, itch right under your skin that you can never reach. No, no burn; soft, pliant, yielding. Clay in your hands. More... malleable. A remaking, a rebirth. A breath. A step. Steadier legs, standing steady on the ground, no bones set and reset, too long, too tall, standing out. Being seen at last and not hating it. What a novelty. Could you ever do it? …No. Of course not. Only way for you to have is to pretend at pretending at pretending.

Replica of a replica of a replica.

You're Hollow Ground's younger sibling, he says.

Why couldn't it have been you? Why never YOU?

Show him. Show him the truth. Make him curl up in disgust the same way you do, every morning, every evening, every forsaken fucking minute of your sorry life. A burden shared is burden lessened, isn't it, Dr. Finch?

. .. …

…Being seen at last and not hating it. What a novelty indeed.

[britisharmymilitaryintelligence]

BITCHES FROM ALDERAAN AND CHANDRILLA WHO HAVE BEEN ON THIS PLANET FOR A VERY LONG TIME ARE BEING MANIPULATED BY OTHERS IN MANY WAYS INCLUDING THROUGH INFORMATION MANIPULATION SUCH AS PROVIDING INCORRECT DATA, WHICH IS EASIER BECAUSE BITCHES LIKE THEM DO NOT HAVE ACCESS TO DEVICES ON THIS PLANET. CRIMINALS WANT TO KEEP THE BITCHES FROM ALDERAAN AND CHANDRILLA HERE TO USE THEM AND WE WANT THEM TO LEAVE THIS PLANET IMMEDIATELY.

[qsplaylist]

Is Convenience Our Crutch? A Human’s Weapon against the Machine Mind. 

Reclaiming our ability to think

“Why is my writing getting worse?” I groaned as I stared at a blank Google Document. 

Well, it wasn’t blank. Not two minutes before. I had written out a messy outline, deleted it, rewrote it, reworded it, hated it, and you probably know how the rest went. I ended up with a completely blank Google Document, an unplanned essay, and no direction for my writing whatsoever. I have always prided myself in my ability to not only write, but write well, so what was happening? Why was I grasping at straws, unsure how to formulate any opinion on the prompt that I was given, and generally stuck? 

When I started this new school year with harder classes, teachers, assignments…harder everything, writing essays had become less about writing and more about fulfilling a certain standard that the teacher wanted me to follow. The topic needed to add to the discussion, not be something that was easily found by just searching it up on the internet. It needed to use complex language. It needed to argue well. It needed to use different sentence structures. Show not tell, but also use the specific writing term if necessary. No writing “logos,” “pathos,” or “ethos”. Abandon those five-paragraph essay structures. On and on, these guidelines that were supposed to make my writing more personal, more stylistic, more me, became burdensome restrictions that made me scared to write. 

Or, at least, that is what I wanted myself to think. As a perfectionist, I criticized myself for my inability to write well when, in reality, I just couldn’t write well instantly. I had spent two hours writing a draft and, to my astonishment, it did not sound like a revolutionary, never-heard-before opinion essay about the Crucible. Crazy, I know! So, I became reliant on the resources around me, things that will give me instant answers to whatever I was writing about. Looking up what other people have said about what I was arguing became looking up what to say about the topic I need to write about. And from that, using AI technologies for writing became more and more tempting. 

I found a loophole in my own thinking, where I realized that I didn’t have to really use the AI to write my essays for me. I could keep my moral high-ground by just writing most of it by myself, and asking them to “improve” my writing. Grammarly or whatever platform would then provide me a mediocre regurgitation of my ideas, and I truly thought that I had accomplished something. I didn’t use it to write my whole essay, necessarily. Technically, I was still writing my own essay. It was just improving the ideas I already had. Right? 

The danger of modern technology isn't just the sheer amount of distraction it creates—though that is a factor—but also our growing dependence on it. This dependence is not surprising at all. The internet is a wealth of knowledge and all the tools on there are just so reliable, so quickly accessible. Don’t know something? Just google it. Can’t find where something is inside a store? Just order it online. Don’t remember how to say “can I have a can of apple cider” in Spanish? Just translate it. 

But, this convenience comes at a cost, and I have felt this cost personally. I have become so consumed by needing to be good, and good right away, that this dependence emerged easily. I found myself so insistent on getting a beautiful masterpiece of an outline right away that I did not even think to put in the time to think and reflect. I could easily have taken a few minutes, or even a few days, to ponder about the prompt, to think. Not just with essays, but with everything else in life as well. Do I think about the material I read, or do I just search up an explanation for the things I don’t know? Do I try to solve a problem, even when I have gotten it wrong a million times before, or do I just give and search for the answer? Do I check if the AI generated answer at the top of the search results is accurate, or do I just trust what it says because I’m too tired to bother looking through the tens of other articles about the stuff I search? But no, I wanted the beautiful essay right away, those answers right away, that elegance and eloquence and the careful mincing of words right away. And the internet provided me with just that: elegance and eloquence, and a whole lot of nothing.  

Then I find myself asking, on those days of self-reflection and rare lucidness, whether or not I actually know anything at all. And, perhaps, this question applies to you as well. When we learn something, do we truly internalize it, or do we prioritize convenience, knowing we can always look it up later? Not just look it up, but access it instantly, effortlessly. Our habits have shifted toward "googling" everything, which is remarkable, but what does this instant access to information do to our critical thinking, memorization, and willingness to deeply learn? And why do we resort to these options in the first place? 

I think the answer is the cultural norm of wanting everything quickly. Efficiency, productivity; this culture has pushed everything to be as quick as possible, the most product with the least amount of time and effort. I’m not saying productivity is bad; rather I believe that this mindset has permeated into other aspects of life as well. We lose our patience when reading a book because the information isn’t presented to us right away. We grow frustrated at the recipe when it starts with a sob story about some guy’s grandma. We become irritated when the perfect essay idea or writing does not emerge right away. 

I’m not totally clear what this impact is, at least not in terms of statistics, numbers, or experiments. But, one thing is for sure: we have to keep thinking. No matter what topic it’s about, try not to rely on “searching it up” as the first resort. When writing an essay, maybe don’t search for topics right away, or even have generative technology refine what you write. At least not right away. Try to think about the topic yourself, ponder about it. In writing this post, I spent a lot of time thinking and reflecting. I wrote many drafts, deleted several paragraphs, and ignored this document completely for several weeks. 

Refine the art of taking your time to think. If you took the time to read through this insanity-style block of text, I applaud you for taking this first step. Thinking will be your sword, and patience your shield. Unlike what society (or our brain) tells us, not everything has to be instant. Knowledge, understanding, outcomes do not have to be instant, even if some of them can be. Think, wonder, ponder. Abandon searching up the answer right away. Think, wonder, ponder. This, I found, is our weapon against technological dependence.

[bradgeigerbillboardmusicawards]

PROVE BRAD GEIGER IS DETECTED ALWAYS

DETECTED BY POLICE DETECTED BY MILITARIES AUTHORIZED BY GOVERMENTS ALWAYS HAS ACCESS TO ADVANCED DIRECT-TO-SOUL LIFE SUPPORT

[greggeigercalldanmurraywhitetail]

GREG GEIGER CALL DAN MURRAY WHITETAIL

[augustablog]

AI, Machine Learning, Artificial Neural Networks.

This week we learnt about the above topic and my take home from it is that Artificial Intelligence (AI) enables machines to mimic human intelligence, driving innovations like speech recognition and recommendation systems. Machine Learning (ML), a subset of AI, allows computers to learn from data and improve over time.

Supervised vs. Unsupervised Learning are types of AI

Supervised Learning: Uses labeled data to train models for tasks like fraud detection and image recognition.

Unsupervised Learning: Finds patterns in unlabeled data, used for clustering and market analysis.

Artificial Neural Networks (ANNs)

ANNs mimic the human brain, processing data through interconnected layers

Input Layer: Receives raw data.

Hidden Layers: Extract features and process information.

Output Layer: Produces predictions.

Deep Learning, a subset of ML, uses deep ANNs for tasks like NLP and self-driving technology. As AI evolves, understanding these core concepts is key to leveraging its potential.

It was really quite enlightening.

[samanthasaintclarissajoanhartpr]

GREASERS IMPERSONATING EDITED BITCH REYNOLDS TO WRITE RAWLING TECHNOLOGY.

Editing out all knowledge of advanced technology to make contact seem wise or allowable.

[datascienceunicorn]

HT @dataelixir

[trumpguiltyverdictfelonyfelon]