DEV Community: The AI Guy

Your 2025 AI Upgrade, Minus the Noise

Sukhpinder Singh — Mon, 06 Oct 2025 00:52:45 +0000

If you’ve felt that odd pressure to “learn AI” but don’t know where to start, same. My breaking point was a 2 a.m. pager last winter: a Slack bot we’d wired to triage incidents “hallucinated” a root cause and auto-closed a ticket. We lost four noisy hours before a single log line—pred_reason="config drift suspected"—nudged me to look at the data pipeline, not the model. The fix wasn’t clever prompt magic; it was boring engineering: guardrails, a reproducible pipeline, and an evaluation we could trust. That’s the job now.

TL;DR (what to learn next)

Data intuition beats model trivia: learn to clean, slice, and disbelieve your data.
Reproducibility + observability: use env managers, pipelines, and experiment tracking.
Evaluation is a product feature: build small, task-specific tests before you scale.
Security isn’t optional: design for prompt injection and unsafe output handling.
Cost/latency trade-offs: know when a small model + smart caching beats a giant one.
Ship value, not demos: wire AI into a real workflow with clear rollback paths.

Map Your Skill Gaps (and why this is hard)

AI in 2025 feels like cloud in 2013—lots of hype, little discipline. The hard part isn’t calling a model; it’s owning the behavior once it’s in a real workflow. That means versioned code and data, consistent environments, measurable quality, and security posture that survives untrusted inputs. Without those, you get flashy prototypes that mysteriously degrade in production.

Use a Practical Mental Model

I teach teammates the “D-M-D loop”:

Data → collect, clean, label, monitor
Model → choose, configure, sometimes fine-tune
Delivery → wrap with APIs, cache, observe, secure

Wrap the loop with a thin ring: Governance (evaluation, cost, safety, rollback). If one segment wobbles, the loop eats your weekend.

Build Reproducible Scaffolding First

Environments that don’t lie. Use fast, consistent tooling so “works on my machine” stops being a plot twist. I like uv because it’s a single tool that handles Python installs, virtual envs, and a pip-compatible interface—fast enough that teammates actually use it.

# Setup (Linux/macOS). Assumes curl.
curl -LsSf https://astral.sh/uv/install.sh | sh
uv python install 3.12
uv venv --python 3.12
uv pip install "scikit-learn>=1.5" "mlflow>=2.9"

Pipelines you can trust. Even if you’re doing apps with .NET or Node, learn a minimal ML pipeline conceptually. In Python, sklearn.pipeline chains preprocessing + model so you tune and evaluate the whole thing, not just the final estimator. That prevents data leakage and keeps your runs comparable.

# Python 3.12
from sklearn.datasets import load_iris
from sklearn.pipeline import make_pipeline
from sklearn.preprocessing import StandardScaler
from sklearn.linear_model import LogisticRegression
from sklearn.model_selection import cross_val_score
import mlflow, mlflow.sklearn

mlflow.set_tracking_uri("file:./mlruns")  # local runs
mlflow.set_experiment("skills-post")

X, y = load_iris(return_X_y=True)
pipe = make_pipeline(StandardScaler(), LogisticRegression(max_iter=1000))
with mlflow.start_run():
    scores = cross_val_score(pipe, X, y, cv=5)
    pipe.fit(X, y)
    mlflow.log_metric("cv_mean_acc", float(scores.mean()))
    mlflow.sklearn.log_model(pipe, "model")
    print(f"cv_mean_acc={scores.mean():.3f}")

MLflow gives you a simple UI to compare runs and artifacts—useful even for small experiments.

Stress-Test Your Data Intuition

Before you chase the “best” model, ask: If this prediction is wrong, what pattern in the data would mislead it? Create cheap tests: swap class labels, add outliers, perturb inputs, confirm your accuracy drops in sensible ways. Skepticism is a feature, not a vibe.

Try it now (10 minutes):

Set up the env above.
Swap StandardScaler() for no scaler; watch accuracy and variance jump.
Log both runs in MLflow and compare metrics/artifacts.

Learn Small-Model Engineering (then scale)

You don’t need a 70B model to automate a triage, summarize logs, or classify tickets. Hugging Face pipelines let you wire tasks quickly; later you can fine-tune with PEFT/LoRA to adapt cheaply.

from transformers import pipeline
sent = pipeline("sentiment-analysis")  # CPU works for a demo
print(sent("Deployments are failing again; reverting now."))

When you do need customization, PEFT/LoRA updates a tiny fraction of weights—often the difference between “can’t afford it” and “done by Friday.”

Bake In Evaluation Like a Product Requirement

A simple rubric beats vibes:

Task metrics: exact match, ROUGE/BLEU for text, confusion matrix for classifiers.
Behavioral tests: red-teaming prompts, tricky edge cases, “forbidden actions.”
Cost/latency budgets: max tokens/sec, p95 latency, and a rollback plan.

Remember: evaluation isn’t a one-time benchmark; it’s monitoring. Make dashboards part of “done.”

Guard Against Real-World Failure Modes

Two that bit us:

Prompt injection & unsafe output handling. Treat user text as hostile. Isolate tools, sanitize outputs, and audit prompts. The OWASP LLM Top 10 (2025) explains why these are #1 and #2 risks.
Over-trusting model text. If your system executes code or hits APIs based on model output, validate and constrain. Think schemas, allow-lists, or a secondary checker.

Google’s and AWS’s recent guidance both push layered defenses: input filters, output validation, and monitoring. Ship that before the flashy demo.

Make Smart Cost/Latency Trade-offs

Small model + cache > large model for many CRUD-ish tasks.
PEFT adapters let you specialize cheaply; store per-customer adapters when needed.
Batching & streaming reduce p95 tail pain; feature flags let you fall back fast.

Ask yourself: If the model gets slower by 200ms tomorrow, does the business still work?

A Quick Story Slice (the imperfect bit)

I almost merged a “smart” incident-closer that looked great in staged tests. A teammate asked, “What’s the failure mode when the log parser drops a field?” We added one synthetic example, and the model happily “explained” a non-existent root cause. That tiny “almost mistake” saved us the apology email later.

What to Learn Next (and how)

Reproducible tooling: Python 3.12 + uv for speed and fewer environment footguns.
Pipelines & evaluation: scikit-learn Pipeline concepts translate to any stack; MLflow for lightweight tracking.
Pragmatic LLM use: Hugging Face pipeline to ship; PEFT/LoRA when you need task accuracy without a GPU farm.
Security: Read OWASP’s LLM Top 10 and implement at least two mitigations this week.

If you’re coming from .NET, the trade-off mindset is the same one I wrote about in Why I Still Choose C# (Even After Trying Everything Else)—choose boring, durable tools, measure, then iterate.

CTA

If you try the mini-exercise, drop your cv_mean_acc in the comments and tell me what changed it most—scaler, solver, or random seed? Also, what’s the single check you’ll add to your AI app this week: input sanitizer, output schema, or an eval set? I’ll share back anonymized patterns and a follow-up snippet.

Can ChatGPT be trained to become human?

Sukhpinder Singh — Fri, 18 Oct 2024 13:13:58 +0000

AI’s ability to mimic human behavior, emotional intelligence, creativity, and morality while exploring the future of artificial intelligence.

Artificial intelligence, especially that afforded by ChatGPT, has changed our manner of dealing with machines.

AI now puts us in a state of conversation, learns from us, and even attempts to understand the context behind the questions we ask.

However, the significant issue that people keep asking is whether ChatGPT can be trained to become human.

At the core of AIs like ChatGPT is a neural network, a complex web of algorithms meant to mimic the functioning of the human brain. The algorithms learn about patterns, make predictions, and improve over time through a process known as machine learning.

However, there is quite a gap between teaching patterns and being human. But being human isn’t just about patterns or predictions and it is about emotions, experience, understanding of culture, making moral judgments, and the ability for truly original creativity.

Interacting with AI today may often generate human-like responses that are interesting and even insightful at times.

Yet what generates those responses — patterns found in large datasets, not quite the sort of personal contemplation or emotive depth carried into every encounter by humans.

To answer if ChatGPT can be trained to be human, we must consider what exactly it means for something to be human.

For this argument, let’s break it down into several such components: emotional intelligence, creativity, morality, memory, and learning from experiences.

Some of these are important facets of human behavior and cognition.

Can AI, particularly ChatGPT, ever be imbued with these so that we consider the AI “human” to that degree?

Emotional Intelligence

Emotional intelligence is the ability to sense how others feel and manage one’s own emotions. Our words usually carry emotional intensity from subtle sarcasm to overt anger or happiness. Humans use tone, context, and body language to communicate and interpret emotions.

ChatGPT will simulate aspects of emotional intelligence because it can generate text that carries an emotional flavor for a conversation. If you express frustration, then it produces a response that would appear empathetic; if you are ebullient, it can echo some lighthearted repartee.

Does this mean it “knows” or understands emotions?

No. Instead, what ChatGPT does is recognize patterns in language as they reflect emotion, but it does not feel emotions. It doesn’t have the physiological and psychological mechanisms that underlie human emotion.

Training ChatGPT to “be human” in this way would take more than feeding it datasets on emotional expression. It would rather require an architecture that allowed for some authentic experiences of emotions — that is, something beyond the scope of current developments in AI.

Even if we can, in some way, simulate emotional reactions in AI, they will still be fundamentally different from human emotions, which are tied closely with consciousness, biology, and experience.

Creativity

Creativity- the mark of human intelligence: the ability to come up with new ideas, solve problems in innovative ways, and create art that vibrates at a deeply emotional or intellectual level.

Is ChatGPT creative?

In this respect, yes. ChatGPT can write, for instance, poems, short stories, code- whatever you want it to do.

All the same, this creativity is based on the pattern rather than on actual thinking outside of the box that may reflect human creativity.

Some of the most creative solutions or artistic expressions are often born out of personal experience, emotional ups and downs, moments of inspiration those things that cannot easily be expressed and replicated in an algorithm.

Although AI can generate creative content, it remains without experiential or emotional depth to inform human creativity.

This means it offers content based on learned patterns rather than any personal experience or emotional journey.

That is the main point of explaining why, despite impressive outputs, ChatGPT is fundamentally different from a human mind.

Morality

The other very important element of being human is morality, for which decisions are generally guided by the moral compass of and through upbringing, culture, experiences, and societal norms.

More often than not, humans struggle with conflicting values, weigh the consequences of their deeds, and sometimes change their beliefs over time.

Could ChatGPT make moral decisions?

Not at all. While it may be able to be programmed to adhere to certain guidelines of morality or avoid harmful content, its understanding of morality is superficial. It does not possess personal values or understand right and wrong in the way humans do.

Instead, it responds based on patterns in data that often simply mimic moral reasoning without truly engaging in the complex, human process of ethical decision-making.

It is a huge task to train ChatGPT to be human in this regard since even humans are unable to accept one sense of moral principle. Morality also relates to consciousness, which AI lacks.

Though AI systems can follow rules, they are not able to understand the sense of moral dilemmas that define human experience.

Memory and Experience

Humans are a product of their memories and experiences. Every conversation, every relationship, and triumph and every failure leave an impression on who we are and how we approach the world.

AI does not have any kind of real memory of past interactions unless it has been explicitly programmed to retain specific data.

Each interaction with ChatGPT is unique and while it can process historical data, it doesn’t “remember” interactions the same way a human does.

It would give this form so that ChatGPT can learn through experiences, creating a sense of identity and personal history over time.

Now, it does not necessarily imply that it should remember anything but interpret it to affect the subsequent actions; the same way humans do in life, growing and changing according to their past.

Current AI models, including ChatGPT, do not have this ability. Though they might learn from big datasets, they lack personal experiences and do not change according to individual interaction.

Because of this, for ChatGPT to be closer to “being human,” it requires something more than the capability to store and accumulate information but must also develop the capability to reflect on that same information and to change in meaningful ways relative to past experiences.

Learning by Experience

Human intelligence is reinforced by the ability to reflect upon mistakes and utilize those as learning experiences. We sometimes reflect on our actions, question our decisions, and make alterations in behavior based on our experiences.

ChatGPT, though, can be trained through machine learning models, though it learns very differently compared to humans.

Improvement of AI in machine learning is through wide training on various datasets and adjustment of weights and biases for better outcomes.

However, the methodology itself is not like that of human learning based on trial and error and is contextual, emotionally and socially tuned, and based on personal experience and interactions with other humans. In contrast, the learning process of ChatGPT is abstract and data-driven.

While AI may learn to make improvements in its responses, it is without a human ability to reflect on itself.

Human learning isn’t just adding new information, but building that new information off of what we already know and thinking about what the implications are. Sometimes what we learn is questioned.

ChatGPT learns to do this task better at getting statistically likely responses without any understanding or reflection about what it is learning.

The Future of AI

So, can ChatGPT be made human? Currently, as of the technology, the answer is no.

In full, that is. While still able to mimic and even generate human-like conversations, produce creative content, and maintain adherence to all sorts of ethical directives, AI continues to lack depth, consciousness, and emotional complexities of what it means to be human.

However, the future of AI is no longer so static. Researchers are more and more pushing the frontiers of what could be done with AI: find new approaches to making machines more intelligent, adaptive, and even emotionally intelligent.

Some believe that with domains such as neuro-symbolic AI-machine learning coupled with symbolic reasoning or even quantum computation, we may eventually build one day the essence of human-like cognition in an AI.

But yet, all of this raises a basic question: Do we want AI to be human?

The development of machines that could think and feel like humans raises profound questions in the realms of ethics and philosophy.

Where do we draw that line between the machine and the person if AI becomes too human?
Should AI have rights when it can feel?

These are questions that society will have to grapple with as AI continues its evolution.

How Soon Will AI Kill Authentic Music?

Sukhpinder Singh — Sun, 06 Oct 2024 14:04:00 +0000

The artist is deep in a struggle to find the next melody, hoping to capture something raw and naked.

It’s hard not to feel a twinge of anxiety as a musician watching this unfold. The trend of AI in music has gone from the distant sci-fi concept to a nearer still movement thanks to this increasingly unrestrainable advancement.

Once satisfied with lurking in the shadows and merely helping out with production and sound engineering, machines are assuming some creativity aspects, assuming control over creative domains. So refined and polished do AI-generated songs flood the streaming platforms that listeners may hardly notice that a human hand ever touched them.

But the question lingers, “How soon will AI completely take over?” Will it kill authentic the kind that comes from a real human experience, fueled by emotions, struggles, and imperfections?

There is haunting beauty in making music as an artist. Something that AI tries to replicate but can never touch. Imagine this: you sit on the floor of your apartment; you’re holding your guitar and struggling with trying to convey the heartache of a breakup.

Each chord resonates with the depth of your personal experience, every lyric is a confession you’re not sure you want anyone to hear. It is in that vulnerability, that rawness, that the magic happens. Not only are you composing a song but you are translating emotion into sound, giving it all up to the listener.

Artificial intelligence never knows the means of heartbreak. It has nothing like sitting in a dark room, questioning why one exists. It never experiences happiness or pain or sorrow. It processes data quantity and uses intricate algorithms to form patterns like human imagination. But how genuine can be that which is born out of cold calculations and predictions?

It’s like an existential threat, to be honest. An artist, for instance, will always get a sinking feeling in his chest every time he hears about one more AI tool that can compose music.

They’re getting pretty good at it, though, some of these machines produce tracks that remarkably and convincingly seem to be humanly made. But for you, music has been so much more than just sound. It’s been an outlet, a connection to something deeper. Will AI ever understand that?

Others may call AI the creative assistant and, therefore, that it only enhances the creativity process and not displaces it. It frees artists to focus on what matters- their message, and their story. And maybe that’s true, to some extent.

AI may quickly generate a chord progression or help you find that elusive melody or perhaps a starting point when writer’s block has gotten the better of you. It’s like having a collaborator who never tires, never judges, and always delivers. But then again, there’s a difference between collaboration and domination.

The real scare, however, is that AI won’t just replace musicians; it’ll change what we value in the music; changes we’ve already seen in the industry from the shortening of songs, the quicker hooks, and pressure on artists to produce more and more constantly.

AI feeds off that scenario perfectly because it never needs to recharge its batteries and just takes on track after track without ever stopping to ask if any of it even matters.

The more that AI undertakes the production of music, the greater the likelihood that we will lose touch with the very essence of what a song says. A song is supposed to be the way humanity can be described in sound.

It is supposed to help you achieve a feeling of being somewhere else or at another time. Can you even believe this from an AI that has no emotional grasp of human beings? Or will music in the future be nothing but anemic, sloppily crafted soundscapes designed to entertain us passively?

Of course, all of these people will say that listeners won’t care because — in a world where attention spans are shrinking — no one will be bothered with AI-generated music as long as it sounds good, not to worry about where it comes from.

To an artist, music isn’t just the combining of the notes; the relationship is with the process. It’s with the journey you take to get there: the moments of doubt, the late nights spent wrestling with a melody that wouldn’t come till finally you broke through and felt like you’d unlocked something inside you. AI skips all of that. It just rockets to the finish without any of the struggles that make creating music so profoundly human.

Perhaps, however, the most frightening fear that now continues to surface in thoughts is the prospect that when AI conquers the music industry, it will push aside real artists.

Why bother having a human when a machine can turn out a hit song within seconds?

Why take on the vagaries of human imagination and creativity when an algorithm promises you a predictable set of marketable productions? It is this cold logic of a capitalist that threatens to come so disturbingly true.

You think of your first days as a musician. The hours, the times you almost quit, the moments when everything just clicked and the song was magic. All that mattered because it was hard; it demanded something you could not fake or reproduce. Will future generations of musicians have these experiences? Or would they just be tinkerers, coding AI to compose for them?

The irony is that, in a deeper sense, AI has already been influencing our way of composing music. We now have software that can give us beats, melodies, and even whole compositions. And we have all used these tools ourselves, you and me included, to spice up our work.

However, there is a distinction between the use of AI as a tool versus its complete dependence. The fear is that we are moving towards the latter, where AI is not just an efficient assistant but the primary creator.

You sit back, close your eyes, and imagine a future where AI dominates the music industry-a strange, dystopian vision. Concerts with AI-generated music played by holograms, songs written not by humans but by machines programmed to predict exactly what listeners want.

And the worst part of it is that nobody appears to care. The music is all right, even perhaps better than all right. But there’s something essential something you can’t quite describe, but you feel it down in the pit of your stomach.

Perhaps that is where the real danger lies in any patly obvious ways, such as AI’s threat to musicians. Rather, it is a slippery slope where all we care for about art is quietly strangled by what we suppose is beautiful.

The more machines can convincingly reproduce human expression, the more important it becomes: We might lose our way of distinguishing between what is real and what is the product of algorithmic mimicry. Maybe someday the distinction between creativity and algorithmic mimicry won’t matter.

And yet, you find yourself sitting there with your guitar in hand, still feeling that AI can never actually kill real music. Because, at the very heart of music, it’s about that connection: one person reaching out to another person in the attempt to convey something real, something true; and no matter how advanced the AI rendition is or mimic, those cannot be portrayed or felt.

Maybe the future of music isn’t so bleak, after all. And maybe, just maybe, there will always be room for real musicians like you, creating not because it is easy, but because it’s necessary. Where in a world full of noise, real music is the only thing that still has the power to make us feel something real.

And that’s one thing no machine will ever take away.

Thank you for being a part of the community! Before you leave:

The Future of Developers in the AI Era

Sukhpinder Singh — Sun, 06 Oct 2024 07:57:41 +0000

My personal experience with artificial intelligence invading my field

I have spent so many hours in the past as I debugged, tracing the same bug in an endless loop. This was how it used to be and we as developers would spend time working odd hours, solving problems that demanded not just skill but also persistence.

But something had changed recently.

AI has finally reached the doorstep of software development. I hardly paid attention, though. AI was something I read about.

It was something we’d discuss at the occasional tech meetup as this far-off possibility, like self-driving cars or space travel for everyone. It didn’t feel like a big danger to what I did anytime soon.

It calls for more than just a set of rules; it calls for knowledge, problem-solving, and even a kind of creative instinct to my thinking, uniquely human.

Then came the AI assistants.

They started with small, simple tools that’d suggest better code snippets or auto-complete my lines based on common patterns. It made life easier and streamlined the tedious parts of the job.

Who would not want help with that?

It was a colleague who never knew the wrong syntax. They could recall documentation from any obscure library instantly.

What was initially just a tool to help me write code slowly evolved into something more than that which understood patterns far better than myself.

I was surprised at first by the efficiency with which I could rewrite this code that, in the old days, would have taken me hours to refactor. In no time at all, things that, before the AI’s magic, would have taken up whole functions — that is, improvements that not only reduced complexity but somehow seemed to anticipate future problems coming along.

AI was starting to nudge me ahead through a sea of decisions I hadn’t even thought of yet.

But it wasn’t until I found myself relying on it more and more that I began to wonder where all of this was heading.

One evening, I sat and stared at the complicated algorithm for days and I had written and rewritten it so many times.

The puzzled expression on my face must have told it I needed a small bit of nudging at the algorithm. Maybe it would find the minute tweak or draw my eye to something I hadn’t noticed.

It replaced the function entirely.

What it produced was far neater than anything I could ever think of. It was a cleaner, faster, and more modular-a textbook example of efficient coding.

I sat back, stunned. I didn’t feel that rush of accomplishment that usually followed finally getting around some tough problem. Instead, there was this disquieting feeling of realization and the machine had outsmarted me.

And worse, had done it effortlessly.

It hit me that this was no longer an assistant but much bigger.

I tried to rationalize it at first. It was only doing what it was made to do, I said to myself. It wasn’t thinking like me. It wasn’t human.

In the weeks that followed, however, I started to see a pattern. It could solve problems in half the time it took me to work them out. It wasn’t just suggesting things anymore; it was leading the way, showing things I’d never thought of before.

Developers everywhere were starting to feel it too. The conversations that had been drifting in the online forums from excitement about how AI was helping us to worried whispers about how much control we were giving it grew softer and more hesitant.

Some would argue that it was just a tool. But others began wondering if the future of our profession was as secure as we thought.

At one point, I was working with one junior developer explaining how I solved a tricky integration problem. The developer had me midway through the solution explanation when he casually tossed a bombshell that AI already had the integration code written for them, but not only that: it even did it before they realized what the problem was.

I smiled, but inside something was taken away from me, not jealousy as I would call it, but more of a loss. I remember when I was learning how to code through trial and error, or late nights digging through documentation and endless Stack Overflow posts.

It wasn’t just writing the code—it was all about understanding the problem, experiencing frustration with failure, and finally the joy of getting it right.

But what of future developers?
Would they be able to know the subtlety of the craft or just overseers who would go ahead and approve the suggestion as it came from a machine?

I phased myself out of this role as the AI became smarter. It reached a point when I stopped looking at it for solving a problem, and was reviewing the output the AI itself would have generated.

Of course, I felt that I should have made my decisions, but most of the time I did agree with its decisions. The idea did cross my mind many times: Was this how it was going to be a developer now?

Still, I couldn’t help but notice the benefits. Projects that would have taken weeks were now being done in days. Bugs were caught before they ever hit production.

Efficiency was undeniable, and clients were happy for faster turnaround. But every time I marvelled at the pace of delivery, another tiny piece of me wondered what we were sacrificing in return.

Well, I tried my best to put all that aside. Now, technology evolves and we do too. It was not like this was the first change in the industry. With cloud computing, we adapted. With a shift in frameworks, we learned new ones.

So, what’s so different about AI?

And yet, I knew it was, deep down inside; it had the potential to drastically alter the very fabric of what it meant to be a developer, much more than a new tool or new framework.

Months have passed, and I chatted with an old colleague—one who has been here much longer than me. We both talked about the early days of development, the way coding was more of a craft, honed through years of experience. I asked him what he thought about AI, and the direction we’re going.

He looked ahead for what felt like a long time before speaking. “We’ll always need developers,” he said finally. “But the kind of developer we need is changing.”

That line has stayed with me. The kind of developer we need is changing.

It wasn’t whether AI was going to replace us; it was how we were going to adapt to that reality. As I thought more about it, the first thing that came to me is being a developer never has been merely writing code and it’s more about solving problems, creating solutions, and building something from nothing. So, here come tools, and tools always changed. And then there’s whose power is more than virtually anything else.

I then realized that the future was not about fighting the AI, but embracing it, learning to work with it, and muster ways to leverage it in our toolkit as part of our new paradigm.

Much like we moved from low-level programming languages to higher-level ones, but still, it is we who, as developers, would give the direction, the creativity, and the human insight that would shape the final output.

I don’t know exactly what the future is. But one thing is for sure: we developers are not leaving.

Thank you for being a part of the community! Before you leave:

Can AI Write Production-Ready Code? What Every Developer Should Know

Sukhpinder Singh — Thu, 03 Oct 2024 11:58:00 +0000

The Journey of Using AI to Help Me Code But Is It Production-Ready?

Using AI for coding has quickly become more than just a prototype. It is now part of the toolkit for developers. I still remember when I first came across AI-generated code.

It was GitHub Copilot, and I thought to myself, “Could this help me write better code?” Initially, I was skeptical.

Something that began in jest, as an absurd test, became the realization that with proper use of AI, it genuinely could change the way we coded.

Like most developers, I had a pretty standard process when dealing with a new problem. It was to gather the requirements, outline a plan, get down to writing the code, and then debug when necessary.

Introducing AI into this workflow felt odd at first. It wasn’t just faster writing of code; it was how AI reshaped how I thought about coding. It wasn’t fill-in-the-blank; it was suggesting code structures that I may not have thought of pointing out possible inefficiencies helping see different approaches to the same problem.

For example, I was working on a backend project using. NET. The task was to optimize a database query, which was pulling in a lot of data.

Normally, I would dive into the query, break it up, and then refactor it until it was as efficient as possible. And so this all changed the day I started writing the query out. GitHub Copilot gave me options & much more efficient ways to do pagination and filtering that I hadn’t even thought of.

And here’s the crazy thing these weren’t just suggesting something completely random; they were really good improvements.

AI saved me time but taught me optimization techniques in real-time.

The few first attempts at working on AI tools proved that I still needed to understand the logic of codes that were being suggested to me.

There is a real temptation to just accept the output that AI spits out, especially when you are running behind a deadline, but that’s a slippery slope.

AI can help you code faster but isn’t a substitute for knowing why you’re writing that code. And that is where developers can get it wrong — too heavy on AI, not enough actual due diligence.

A perfect case in point is that I was trying to work out how to integrate Kafka with a minimal API. I knew that this kind of consumption of messages asynchronously could be optimized. Of course, it’s still not for you to put it into the correct architecture.

This time, I feel I need to share it with everyone & AI can make your life more efficient.

You must learn when to accept the AI’s decision and when to adjust its suggestions in the light of your project’s context.

The beauty of coding with AI is that it does not focus solely on the small things — those rote, boilerplate tasks. Over time, I realized how AI was guiding me through other deep design decisions like

How do I structure an application?
When should I scale?

Almost like having a junior developer who’s good at the basics but instead of just taking the AI’s output at face value, you could guide it, mentor it even, and adapt its suggestions to your needs.

That’s where AI shines, the tool for exploration and learning. It’s not like “Here’s how you write a for loop,” but more “Have you considered this alternative approach?”

Whether it’s optimizing that PostgreSQL query, implementing bulk copy functionality with NPGSQL, or tweaking connection pooling in EF Core, AI gives you options you might not have otherwise thought of on your own. It tests your assumptions and pushes you to think outside of the box.

AI still has a very long way to go before it can get the subtleties of every development environment. I once asked ChatGPT to help me solve the issue of race conditions in a multi-threaded application.

It gave me an answer but failed to account for edge cases that I knew would be a certain trouble in production.

It reminded me that AI tools are only as good as the data that trains them. This is still more of a human intuition and experience play in many complex scenarios.

This fusion of the strengths of both AI and human talents will define the future of coding. Applying AI the right way involves gaining the limitations of its usage and playing to its strengths.

I now see AI as a partner in coding and not as a person writing code for me, but as one that helps me code smarter. It can help me get ideas, clean up the code structure, and carry out repetitive tasks, but I still make the final calls.

To developers who haven’t yet embraced AI, I understand that. It is a natural fear of the tools that seem to take over part of our job.

Nevertheless, I always advise beginners to start small. Let AI help with unit tests for instance, or even refactoring suggestions. As you grow more comfortable, start using them in larger contexts — architecture decisions, system optimizations, or debugging.

It is very important to treat AI as an evolving tool. Like how we learn new frameworks or languages, AI systems such as Codex and GitHub Copilot improve every day. The more you use them, the better they get at understanding your coding style and preferences along with how you think about problems.

The magic of such a system is in how it evolves with you by giving progressively more valuable insights the more you work with it. What is unmagical about this is that it doesn’t do the work for you.

It’s like learning to code all over again, but you have an assistant. You wouldn’t let someone else write all your codebase, but you would listen if they offered some brilliant new way to approach a problem. That’s how I use AI now as a crutch, but as a way to broaden my horizons and improve my craft.

Now, with maturing AI, I expect the future of coding to lie not in how machines are going to replace us but in helping machines become some kind of tool that makes us better developers.

If you do AI right, it is not only about making you more productive is going to make you a better coder, open up new possibilities, and push you to think deeper, solve problems faster, and deliver more robust solutions. And, in the end, that is what code is all about.

Reference

GitHub Copilot Link
OpenAI Codex Link
PostgreSQL Npgsql Link
Kafka Integration Link

Anti-Facial Recognition Mask

Sukhpinder Singh — Fri, 27 Sep 2024 14:09:08 +0000

My Thoughts to Protect Privacy

A mask designed to deny AI-based facial recognition from all angles.
I have always been a pretty private person, but lately, the weight of it feels as unbearable as ever. I just can’t seem to get out with a feeling of people watching me every time. It is no paranoia but just the plain reality of living in a place where face recognition has become an easy technological tool. And when you turn around the shiny lenses of cameras pop up everywhere-from street corners and shop windows to public events. It is as if my face has become a commodity something that is cataloged and analyzed.

I remember when I first heard about AI facial recognition systems. It was a news update, on a cold autumn evening. I was holding hot tea, covered by a blanket, scanning my phone as it scrolled its screen. The anchor spoke confidently about such systems wherein one could identify a person in seconds, revealing his personal history and preferences without ever knowing him or her. Shivers run through my spine. Over time, it had nothing to do with cameras; it’s who I am, my preferences, and -sold to the highest bidder.

Already available on Amazon

Yelo Pomelo Anti Surveillance Neck Gaiter, Anti Facial Recognition Mask and Headband, Face Protest facial recognition tech by wearing this anti-surveillance neck gaiter.

The more you know, the more you feel that you are one rat in an experiment into which you certainly have yet to sign up. Every day, you hear stories of people whose lives have been picked apart by algorithms because they happened to pass in front of surveillance cameras. I could envision my face torn into pieces. All the wrinkles and blemishes would be magnified, and reduced to mere data points. It was like living in some science fiction dystopia where the government and corporations pulled all the strings. Everything I said would not matter.

Somehow it pierced my life: the thought of being checked on all the time. I stopped walking around places, and wouldn’t even go to the park with “intelligent” cameras installed; instead, only shop from small stores where no security footage was even installed. It was draining. I would consider changing my appearance completely by getting a new hair color and wearing different hats and sunglasses just so I’d feel like I ain't being exposed so much. Deep down, however, I realized that wasn't just a Band-Aid on a much bigger issue.

Something appeared on the internet one afternoon: a mask designed to evade facial recognition. I read through all the details about it greedily: special confusing materials for algorithms, interesting patterns distorting features, and even changing colors with light. This is something straight out of a future film, and my heart skips a beat. Perhaps this was my chance to get my private life back.

I told them I wanted one. And when it came, I ripped open the package and looked at it with eagerness and skepticism. It didn’t resemble anything I’d ever worn before, this psychotropic swirling look and shape. I put it on and looked into the mirror. It felt marvelous wearing something that was a symbol of resistance against constant surveillance. Finally a semblance of confidence after months and this mask of theirs that’s now my defense against a world turned mad on breaking into one’s life.

The next time I dared to go out, I wore the mask with pride. My head held high, I went to step out into the streets, feeling to myself that I was at least free to do as I pleased. Even so, passing by familiar buildings did not still the nagging doubt in the back of my head. What if this attracted more onlookers? Perhaps it would have made people start wondering about me. It was a time of empowerment and fear reminding me I was fighting a battle uphill against something invisible.

I knew that something in the air around me had shifted because people looked at me with that unmistakable gaze; some stared while others whispered behind each other’s ears. There was no feeling of being safe anymore but exposed in a whole new way, for the mask became a beacon and a declaration of wariness of the world around me, and that alone seemed to be drawing attention.

I realized at that moment that it wasn’t about staying secret, but rather about being seen. Not to attention to myself but just to walk around the world and not automatically be placed under the spotlight for others’ exhibitions. And I knew that although the mask protected me from recognition by AI, it could not save society from judgment and shame of my uniqueness.

So I tried to balance my two states of being. Less and less was I wearing the mask. In its place, a simple scarf or oversized sunglasses became my new accessory. My scope narrowed down to small things that helped keep my privacy: change messaging apps to encrypted services, block location-sharing features on your devices, and tell your community to ask for stronger privacy laws. Each movement, in its way, was a token of regained agency, but each battle seemed impossible to win.

One night, over a cup of coffee in a café, I heard a group of friends grappling with the same fears as me. They talked about not feeling right with surveillance on them and began gathering stories of moments when they felt viewed in locations where they probably shouldn’t be viewed. A relief-it wasn't just me. Ideas on how to deal and we spoke about the potential of obliterating technology rather than our rights.

I realized through that conversation perhaps that I was suffering in a state of isolation, while a movement was growing of people who shared similar concerns. Maybe the future wasn’t as dark as I thought. The more people began talking about the need for private lives, the more this would breed an awareness of the need for solutions, perhaps like the anti-facial recognition mask, and then the change.

I still fear to open my private life to the public, and my mask continues to remain within that journey. It is a reminder of where the battlefield lies-between liberties and technological surveillance. I cannot possibly destroy it from within, but I can fight for my right to exist without people watching me all the time.

In such a digital world, it feels like such a heavy struggle to fight for privacies, but every little one counts. So, for now, I will continue to find more ways to protect my identity as I form bonds with people who share my concerns, hoping together we can make privacy not just a choice but something that is owed.

Habit Stacking: 100 Small Life Changes That Take Five Minutes or Less

Sukhpinder Singh — Fri, 27 Sep 2024 03:26:26 +0000

Improve your life with small, sustainable changes. 100 habit-stacking ideas for personal growth and productivity.

It is when a person is trying to better himself that he often feels the need to change much to reach his desired goals. If the answer came down to having the power of very tiny changes, it is known as habit stacking.

In this article, we’ll scan 100 of these micro lifestyle changes that can be done in under five minutes.

How Habit Stacking Works

Every time we make a habit, our brains begin making associations; thus, next time the behavior will be more easily executed. Habit stacking uses neuroplasticity, or brain changes as new neural connections throughout life are added onto that which already has a habit in place, and these connections allow for positive change without the weight of willpower fatigue.

List of 100 Habits in 5 minutes

1.Drink a Glass of Water: Hydrate at the beginning of your day after a night’s sleep.

2.Practice Gratitude: Write down something you are thankful for before brushing your teeth.

3.Daily Intentions: Write down what you are going to accomplish that day as you make the bed.

4.Five-Minute Stretch: stretch while waiting for coffee to percolate

5.Read a Daily Affirmation: read a daily affirmation as you get dressed

6.Clean and Organize Workspace: Five minutes at the beginning of your workday clean the space of your desk.

7.Review Your Calendar: Take a minute or two and review your calendar while waiting for the computer to boot up.

8.Deep Breathing: Take one minute to breathe deeply and move into work ahead.

9.Forward a Positive Email: Write a nice thank you to someone you work with.

10.Learn One New Word: Use an online dictionary to look up a word you don’t know and find out what it means.

11.Take a Five-Minute Walk: Take a five-minute walk outside to get some fresh air during breaks.

12.Do a Quick Workout: Do a quick workout routine using your body weight over lunch.

13.Stand While You Work: Alternate sitting and standing while you work

14.Prepare Healthy Snacks: Pack a healthy snack to munch on later.

15.Mindful Eating: Take a minute to eat your food without distraction.

16.Five Minutes of Meditation: Performing a brief mindfulness exercise by utilizing a meditation application

17.Journaling: Writing down a few lines of thoughts and feelings

18.Clear Mental Clutter: Writing down all the thoughts to clear mental clutter

19.Lessening the Time Spent on Social Media: Setting a timer for five minutes to look at your social accounts then log off

20.Building Visualization Skills: Taking a little time to see yourself already achieving your goals

21.Text a Friend: Text a friend to get caught up and to ask how they are doing.

22.Give Compliment: Give an authentic compliment to a family member or coworker.

23.Catch Up: Schedule time to catch up with a friend you have not talked to in a while.

24.Give Attention: Give a person your undivided attention in a conversation.

25.Date: In five minutes, come up with some ideas for your next date night.

26.Clean: Clean up one little clutter in five minutes.

27.New Recipe: Cook your dinners while attempting a very simple new recipe.

28.Cut Social Media: Cut out words or images you like and put them somewhere you will see them every day.

29.Sort: Sort one folder on your computer in five minutes.

30.Give Away: Select something to give away or to get rid of.

31.Monitor your spending: Record one purchase to keep yourself aware of what you are spending.

32.Set a savings goal: Set a minor savings goal for the month.

33.Review your subscriptions: Check your subscriptions and cancel anything that you don’t use.

34.Learn a financial term: Learn a finance-related term for five minutes.

35.Make a simple budget: Come up with a simple budget for the week
Learning and Growth Habits

36.Read an Article: Scrape together five minutes reading a short article on something you are interested in.

37.Listen to a Podcast: Listen to a five-minute podcast episode and expand your knowledge.

38.View a TED Talk: Choose a very short, inspiring TED Talk.

39.Complete an Online Quiz: Complete a quiz in your field of interest

40.Enroll in an Online Course: enroll in a free course that interests you.

41.Doodle or Draw: Give yourself a few minutes doodling on paper.

42.Write a Haiku: Your short poem is there to give voice creatively to your thoughts.

43.Play a Musical Instrument: Take five minutes to play your favorite musical instrument.

44.Do some Crafting: Work on some small crafting projects for a few minutes

45.Explore Photography: Take some photos around you

46.Recycle: Sort out materials that can be recycled from your house

47.Reduce Trash: Find something you can replace with a reusable

48.Plant a Seed: Use an indoor mini-garden with a seed

49.Replace with Greener Households: Select one item in your home that you replace with a greener alternative.

50.Get Involved in Your Local Clean-Up: Research five minutes of local activities to help take care of creation.

51.Read a Spiritual Passage: Spend a few minutes reading an inspiring quote or scripture.

52.Practice Gratitude: Before you get out of bed you can find three things which you are grateful for.

53.Pray or Reflect: Five minutes of prayer or reflection on yourself

54.Connect with the Nature: Spend some time appreciating the beauty around you

55.Attend a Spiritual Gathering: Attend a community event or service
Tech and Productivity Habits

56.Clean Your Email Inbox: Clear all your unwanted emails, delete or archive

57.Use a Timer: Set the timer for some task that you want to stay on one track in five-minute intervals

58.Try a New Productivity Tool: Find an app, a tool, or something that will elevate your productivity endings.

59.Daily To-Do List: Spend three minutes in five minutes listing out what you are going to do in the day

60.Automate a Task: Automate one of your routines.

61.Plan Your Week: Put aside time to list out, at a high level, what the major things are going to be done in the next week.

62.Create a Routine: If you want to continue being productive have a very simple schedule throughout your day.

63.Identify Time Wasters: What wastes your time and finds an alternative

64.Batching Similar Task: Putting all the similar things to get done in one go is a good way to optimize efficiency.

65.Boundaries: Define how many minutes you are spending on each particular activity.

66.Take a Break: Stand up and get away from your desk for a minute and recharge.

67.Self-Compassion: Be kind to yourself and remind yourself of what you have already done for one minute.

68.Savor a Hot Drink: Sit and enjoy the taste of your tea or coffee for a minute focused upon.

69.Treat Yourself: Treat yourself to applying a face mask or lotion in a minute as a pick-me activity.

70.Listen to Music: Wind down at the end of the day to your favorite song

71.Develop Deep Breathing: Sit for a few minutes concentrating inwardly on deep breaths.

72.Mindful Observation: Choose something you can see and spend five minutes observing it with all your senses, noting every detail about it.

73.Mediate: Utilizing a brief guided meditation to practice mindfulness

74.Engage Your Senses: Pay real attention to all of the sights, sounds, and smells that are going on around you.

75.Acceptance Habit: Do five minutes of stream-of-consciousness writing.

76.Daily Planner: Take five minutes to lay out your day.

77.Tame Paperwork: Tame one tiny pile of paperwork

78.Master List: Do one place where you write everything that you need to do.

79.Digital Detox: Take five minutes to clean up unused apps or files on your device.

80.Create a Filing System: Develop an electronic, or on-paper filing of important documents.

81.Volunteer Your Time: Discover local volunteer opportunities that you can get excited to participate in more often.

82.Support Local Businesses: Spend five minutes to find local shops to support.

83.Find a Community Group: Find a community group or club that you’re interested in.

84.Learn About Local Issues: Take some time to get to know issues happening in your community.

85.Help: Reach out to the neighbor, or friend who may need help.

86.Reflect on Your Goals: Take your time, and reflect on both your short-term and long-term goals.

87.Write out a personal Development Plan: Write down some of the things that you would want to do for personal development.

88.Write down your Strengths and Areas for Improvement: Write out your strengths, and areas to be improved.

89.Celebrate Small Wins: After reaching that small little milestone in life, remember them and rejoice.

90.Imagine Your Future Self: Take some time to think about what you’d want to be.

91.Learn something new in five minutes: Practice that thing you wish to develop.

92.Make a Bucket List: Start writing that moment of experience that you want to have in your life.

93.Reflect on Your Day: End every day by taking a few minutes to reflect on what is working.

94.Plan for Tomorrow: Take five minutes at the end of each day and review the next day

95.Review Your Progress: As you build new habits, it helps to review regularly the progress you’re making, always looking at what is working and what is not.

96.Do a Quick Brain Teaser: It will take you just five minutes to solve a puzzle or brain teaser.

97.Exercise Positive Visualization: Take some reflection time on the goal to be achieved.

98.Mindful Breathing: Take five minutes, and breathe in very deeply and mindfully. Sit in an absolutely quiet place, close your eyes, and focus on your breath.

99.Quick Journaling: Take five minutes and write all that you feel, think, or experience in a journal.

100.Plan a Healthy Snack: Spend a few minutes preparing a quick, healthy snack.

In the end, I would say

It is like standing at the foot of a mountain and trying to get to the top of that peak. And how it feels, right? So many people feel that they need to make huge leaps and bounds to change their lives in a big way. Let me tell you the secret to getting to that peak: it is not in the giant leaps, but rather through a series of little ones. That’s what habit stacking is all about.

It’s almost building up one little block after another to your daily routine, but each of those blocks is a tiny change, something you can do in five minutes or less simple and manageable. Consider this: being able to drink a glass of water the moment you wake up, writing down what you are thankful for while brushing your teeth, or maybe just taking a quick stretch because you are waiting for that darn coffee to brew. These small actions may seem insignificant, but when you carry them out regularly, they will lead to large changes.

Our brains are designed to create connections. So, you make it easier for your brain to adopt these small habits if you just link them with things that you already do. This process is called neuroplasticity-fancy word, right? It simply means your brain changes and develops according to new habits you learn. Thus, every time you practice gratitude or take a minute to breathe deeply, you are creating the route for your brain that it makes easier to continue those habits shortly.

These small habits change lives. They make one feel in charge, less stressed, and more focused. Remember that sitting with a hot drink, and taking five minutes to place everything in order, clears not only your physical but also your mental clutter. One begins to feel lighter, and more purposeful.

The best is that you don’t need to change everything simultaneously. Start with a few changes or one or two and progress from there. Maybe you take a short walk outside during your break, or you write down what you are going to achieve that day as you pull up your bedspread. Each little step builds that last one, guiding you closer to that peak you’ve been eying.

So, while you are contemplating how best to enhance your life, remember that you do not need to climb all of that mountain at one time. Count the strength of small simple habits by your day. They may only take a few minutes, but eventually, they could be remarkable changes.

Your path to personal growth does not have to be a marathon. It’s just little happy steps, one five-minute habit at a time. Celebrate your small victories, and you’ll see how they bloom your life into something gorgeous and fulfilling. Each little step will have the effect of transforming you into a brighter, more empowered person!

Analyze the Original Content

Interpreting this content to its main topics key ideas and optimization in terms of SEO effect. Evaluate the content clarity concerning keyword usage and overall structure. [Here is the content] Please help me understand the main topics; then finally, propose what improvements have to be done regarding such optimization, such as using relevant keywords, optimizing headings, and improving meta descriptions.*

Strategy

The original is appraised about its primary themes, with findings on what does and does not work to determine the latter’s strengths and weaknesses. Indeed, this question does invite a trip down the hole of what makes the content work. For instance, one needs to establish if the content is clear and well structured with enough keyword density for SEO purposes.
Some of these include keyword analyzers and even readability checkers which ensure that the contents are friendly to SEO with natural language and even aligned with search engine algorithms.

Identify areas for improvement.

Instructionally, with the original version of the text, I can identify at those points whether the content will become more lucid, interesting, or even brief. Apart from that, I always review content from an SEO perspective and give recommendations to improve it. That includes better readability, ensuring that the keyword density is optimal, and suggesting changes to headings or subheadings so that the performance of the same in terms of SEO is enhanced. [Add Content here]

Strategy

It is there that it can sieve out what areas need to be tight: clarity, engagement, or just conciseness. This is where SEO has a big role; keywords should jump out, headings and subheadings have to be better optimized, and texts should be read more smoothly. Wordy sentences could be condensed, while keyword-rich sentences could be built into words or emphasized.

Paraphrase Specific Sections

Paraphrase the section in concise, interesting words with as much of the original meaning as possible. Make sure that the text rewritten is full of appropriate keywords and phrases for better engine optimization. Here is the section: *[paste the actual section]*. Also, incorporate changes in meta tags and headings if that would help.

Execution Plan

Paraphrasing primarily takes the heart and soul of the original work or text and gives it a more concise, interesting, or convincing appeal. Including all the SEO keywords combined with content makes it more visible in search engines without losing anything substantial from the message or intent behind the original text. These meta tags and headers can truly take readers and search engines to content effortlessly.

Enhance Vocabulary and Tone

Interestingly rewrite this paragraph using one of the following tones-formal, casual, persuasive, or otherwise. Make sure that the rewritten paragraph is SEO-friendly. It uses the targeted keywords organically. Here is the paragraph: [insert paragraph]. Plus, suggest the alterations to be incorporated in the meta description so proper changes can be achieved with the best SEO practices.

Strategy of execution

Tone and vocabulary are the necessary factors that make content workable for the target. If casual, formal, or persuasively intended, the right words translate a boring paragraph to one that begs to be noticed and acted upon. The right placement of the keyword does, after all, stand about taking a high tone so that content is both desirable and optimized for search.

Reorganize Content for Better Flow

Putting all the points in a logical coherent manner and best-practice SEO-friendly using headings and subheadings appropriately, while at the same time making sure that all keyword inclusions are relevant, along with structural clarity, makes it more readable and better for SEO. And now begins the Main points: [list of points]

Execution Strategy

Properly thought content flows logically and basically from one concept to the next without confusing people. Well-formatted content with headings and subheadings makes for easy readability to alleviate problems of SEO. This prompt would ensure that content is meaningful, easy to follow, and full of strategically placed keywords.

Simplify Compound Sentences

Break the complex sentence into simpler, more digestible sentences without losing the original meaning. At the same time, optimize the simplified sentences with keywords and improve readability. Here’s the sentence: [Insert sentence]. Also, provide some SEO suggestions for the rewritten content.

Execution strategy

Complexity murders a sentence, but online readers want quicker, more bite-sized pieces of information. This assignment changes the content rewriting task so that readers come to the point without using SEO-unfriendly words. Less verbose sentences; keywords are introduced holistically; and overall readability increases user experience and ranking in searches.

Include Imagination

Rewrite this paragraph creatively and informatively but without losing any crux of the statement. Apply the best practices of SEO by employing important words in a natural flow, and optimizing the content for search engines. Here is your paragraph: [insert paragraph]. Furthermore, suggest the meta descriptions and headings to enhance it further with SEO-related recommendations.

Execution Strategy

Sometimes, it requires fresh creative input so that it can make content interesting for the readers. This prompt urges the writer to reproduce the same message with flair but to keep the integrity of the message. Infusing creativity in the message yet articulating SEO strategies makes rewritten content interesting as well as optimized for search success.

Proofread for consistency and clarity.

Alright, allow me to work through this so I can make it tighter and clearer in meaning as intended for passing. Let’s see if the article meets the SEO requirements like proper usage of headings, keyword usage, and optimization of meta tags. Thank you. Here is the rewritten text:[insert revised content]

Execution Strategy

Once rewritten, the content is reviewed for coherence and clarity. Big Idea for the end: Insulate with enough coherence put into the rewritten text so it does flow well and certainly meets SEO standards such as using keywords consistently and structure for headings. It should feel cohesive and meaningful, like providing a fluid reading experience.

Final Polishing

Are you able to proofread this content for grammatical errors, awkward phrasing, or even inaccuracies? Also ensure that this content is fully SEO optimized by proper use of keywords, proper headings, and meta descriptions. Here is your text: [insert text here].

Execution Strategy

This final step of rewriting includes proofreading for mistakes, awkward phraseology, and SEO fine-tuning. The following assignment will offer impeccable polish in grammar as well as in performance parameters of SEO. It is thus that the text, with careful review, might become more readable, keywords combine much better, and how a much better search engine ranking.

Thank you for reading…!!!

The AI News Week 2

Sukhpinder Singh — Sat, 21 Sep 2024 06:40:20 +0000

Welcome to the AI News Community where I will be sharing stories from the new Medium Publication for FREE..!!

In the stillness of my home office, illuminated only by the soft blue light from my computer screen, a whole new world of artificial intelligence opened to me. I had to learn quickly how to use ChatGPT through prompt engineering, feeling for all the world like trying to learn how to hold a conversation with a new, different, intelligent friend. I came to realize pretty quickly that the only way to unlock the AI’s potential was to perfect the prompt. This wasn’t just asking questions, but asking in a form that should provide the most useful and relevant answers.

Read More here👇

From Zero to AI Hero — ChatGPT Experience | by The AI Guy | Sep, 2024 | Artificial Intelligence in Plain English

How Perfecting Your Prompts Can Revolutionize Your Work!

ai.plainenglish.io

What is trendy these days in a digital world moving at tremendous speed?

Read More here👇

Boost Your Productivity by 10x with These 10 Killer Web Apps 🚀 | by The AI Guy | Write A Catalyst | Sep, 2024 | Medium

The AI Guy ・ Sep 18, 2024 ・
Medium

By the evening into Tuesday, European regulatory history had seen two landmark rulings delivered by the EU Court of Justice, with shock sent down the spine of Silicon Valley. Large fines and orders were slapped on Apple and Google, two of the world’s biggest tech giants, in what could be termed a big victory for the EU’s increasing attempt at further scrutinizing Big Tech. These decisions epitomize the bloc’s commitment to addressing the issues of tax avoidance and antitrust practices and thereby could reshape the landscape regarding how these tech giants have so far operated globally.

Apple was ordered, of the two more dramatically, to pay Ireland roughly $14.4 billion in back taxes. The judgment ended a six-year legal fight that began in 2016 when the European Commission charged Ireland with unlawfully giving Apple state aid in the form of very favourable tax decrees.

Read More here👇

EU deals blow to Apple & Google. Court of Justice of the European Union… | by The AI Guy | Sep, 2024 | Long. Sweet. Valuable.

Court of Justice of the European Union ruled that Apple must pay Ireland roughly $14.4 billion worth of unpaid taxes & Brussels fined…

long.sweet.pub

Let’s break down C2PA integration.

Imagine every content generated via AI including a digital fingerprint to identify the origin of it.

That’s why, Google partnered with, Content Provenance and Authenticity (C2PA), earlier this year.

It’ll help us to know where a c content came from.

Imagine it like adding credentials to your content. It can also help Medium to have more authentic content & writers.

Read More here👇

AI Content Detection: Google Introduces CPA2 Fingerprint | by The AI Guy | Sep, 2024 | Artificial Intelligence in Plain English

Discover how Google’s CPA2 fingerprint technology will impact the future of AI-generated content and its detection.

ai.plainenglish.io

Recently, I have read a lot on Medium about being successful, and mantras to earn more.

How do you filter out the valuable lessons from the tonnes of generic advice that leaves many feeling confused or, worse, inferior?
Looking at the success of those stories, I often wondered why my stories weren’t being recognized, which pushed me toward changing my niche. After a point, it becomes overwhelming due to too many self-made experts.

On Medium, it feels like every other article is from someone claiming to be an expert in their field, armed with ‘ultimate guides’ and ‘game-changing tips’ that promise to elevate your career or mindset in just a few short reads. But after reading those tips or content, I always questioned myself if this wasn’t as insightful as I thought it would be from the title or claps or comments instead it’s just clickbait.

It works well for some, but for many others, it is overwhelmed by too much repetition of shallow or even confusing content. It is not the quantity of the advice that is the problem but the sameness of the advice.

Read More here👇

Too Many Self-Made Gurus on Medium | by The AI Guy | Devs Community | Sep, 2024 | Medium

The AI Guy ・ Sep 21, 2024 ・
Medium

AI News Week 2

Hope you enjoy this week’s updates! Feel free to drop your thoughts in the comments below!

The AI News Week 1

Sukhpinder Singh — Wed, 11 Sep 2024 04:08:31 +0000

Welcome to the AI News Community where I will be sharing stories from the new Medium Publication for FREE..!!

Why My Blog Posts Stopped Getting Clicks and How I Turned It Around

When I initially began writing, the landscape was considerably more straightforward. Blogs, articles, and, if I was pushing the envelope, social media were the usual suspects for which I had produced content. But as I dove head-first into the digital world of writing, it became abundantly clear that adaptability wasn't a nicety; it was a necessity.

This is a fairly new account but I have turned it around for another profile of my colleague with a publication with approx. 3.3 subscribers.
Profile - with stories over 100K views_

Why My Blog Posts Stopped Getting Clicks and How I Turned It Around | by The AI Guy | Open AI | Sep, 2024 | Medium

The AI Guy ・ Sep 11, 2024 ・
Medium

My 1.5-Year Journey with ChatGPT as a Programmer

To remain relevant, professional writers must stay abreast of the latest developments in AI technology. This means not just understanding the current capabilities of tools like ChatGPT but also anticipating future trends and how they might impact content creation.

My 1.5-Year Journey with ChatGPT as a Programmer | by The AI Guy | Open AI | Sep, 2024 | Medium

The AI Guy ・ Sep 10, 2024 ・
Medium

How I Found New Ways to Make Money Writing in September 2024

In September 2024, my writing life came to a fork in the road. The writing landscape buzzed with opportunities largely created by breakthroughs in technology and changing market needs. It was that moment when AI was not just a buzzword, but could help in improving my writing process. This is a story of how I set on taming this new landscape and found ways of monetizing my writing skills more effectively.

How I Found New Ways to Make Money Writing in September 2024 | by The AI Guy | Open AI | Sep, 2024 | Medium

The AI Guy ・ Sep 11, 2024 ・
Medium

Apple Intelligence vs Grammarly: The Future of AI-Powered Writing

_Apple Just Blew Grammarly Out of the Water with Apple Intelligence
We live in this fast world of technology where, every other day, innovation is reinvented. Apple has ruled the roost since then. Be it the iPhone overhauling the concept of smartphones, the Mac redefining personal computing, or even more knack for disrupting whole industries very well documented. _

Apple Intelligence vs Grammarly: The Future of AI-Powered Writing | by The AI Guy | Open AI | Sep, 2024 | Medium

The AI Guy ・ Sep 9, 2024 ・
Medium

How AI Can Make You a Better Reader — Faster Than You Ever Thought Possible

Countless distractions surround us in our daily lives. Amidst this, reading every day has been a lost habit for many; for some others who practice it, reading can be life-changing, opening doors to knowledge, empathy, and creativity.

How AI Can Make You a Better Reader — Faster Than You Ever Thought Possible | by The AI Guy | Sep, 2024 | AI Advances

Reading isn’t just about absorbing information — it’s about growth. Discover how AI can enhance your reading habits, from boosting…

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DEV Community: The AI Guy

Your 2025 AI Upgrade, Minus the Noise

TL;DR (what to learn next)

Map Your Skill Gaps (and why this is hard)

Use a Practical Mental Model

Build Reproducible Scaffolding First

Stress-Test Your Data Intuition

Learn Small-Model Engineering (then scale)

Bake In Evaluation Like a Product Requirement

Guard Against Real-World Failure Modes

Make Smart Cost/Latency Trade-offs

A Quick Story Slice (the imperfect bit)

What to Learn Next (and how)

CTA

Can ChatGPT be trained to become human?

Emotional Intelligence

Does this mean it “knows” or understands emotions?

Creativity

Is ChatGPT creative?

Morality

Could ChatGPT make moral decisions?

Memory and Experience

Learning by Experience

The Future of AI

But yet, all of this raises a basic question: Do we want AI to be human?

How Soon Will AI Kill Authentic Music?

The artist is deep in a struggle to find the next melody, hoping to capture something raw and naked.

The Future of Developers in the AI Era

So, what’s so different about AI?

I don’t know exactly what the future is. But one thing is for sure: we developers are not leaving.

Can AI Write Production-Ready Code? What Every Developer Should Know

The Journey of Using AI to Help Me Code But Is It Production-Ready?

Reference

Anti-Facial Recognition Mask

My Thoughts to Protect Privacy

Already available on Amazon

Habit Stacking: 100 Small Life Changes That Take Five Minutes or Less

How Habit Stacking Works

List of 100 Habits in 5 minutes

In the end, I would say

Top Prompts for Content Revision: Master SEO & Engaging Writing

Analyze the Original Content

Strategy

Identify areas for improvement.

Strategy

Paraphrase Specific Sections

Execution Plan

Enhance Vocabulary and Tone

Strategy of execution

Reorganize Content for Better Flow

Execution Strategy

Simplify Compound Sentences

Execution strategy

Include Imagination

Execution Strategy

Proofread for consistency and clarity.

Execution Strategy

Final Polishing

Execution Strategy

The AI News Week 2

Welcome to the AI News Community where I will be sharing stories from the new Medium Publication for FREE..!!

From Zero to AI Hero — ChatGPT Experience | by The AI Guy | Sep, 2024 | Artificial Intelligence in Plain English

Boost Your Productivity by 10x with These 10 Killer Web Apps 🚀 | by The AI Guy | Write A Catalyst | Sep, 2024 | Medium

The AI Guy ・ Sep 18, 2024 ・ Medium

EU deals blow to Apple & Google. Court of Justice of the European Union… | by The AI Guy | Sep, 2024 | Long. Sweet. Valuable.

Let’s break down C2PA integration.

AI Content Detection: Google Introduces CPA2 Fingerprint | by The AI Guy | Sep, 2024 | Artificial Intelligence in Plain English

Too Many Self-Made Gurus on Medium | by The AI Guy | Devs Community | Sep, 2024 | Medium

The AI Guy ・ Sep 21, 2024 ・ Medium

AI News Week 2

Hope you enjoy this week’s updates! Feel free to drop your thoughts in the comments below!

The AI News Week 1

Welcome to the AI News Community where I will be sharing stories from the new Medium Publication for FREE..!!

Why My Blog Posts Stopped Getting Clicks and How I Turned It Around

Why My Blog Posts Stopped Getting Clicks and How I Turned It Around | by The AI Guy | Open AI | Sep, 2024 | Medium

The AI Guy ・ Sep 11, 2024 ・ Medium

My 1.5-Year Journey with ChatGPT as a Programmer

My 1.5-Year Journey with ChatGPT as a Programmer | by The AI Guy | Open AI | Sep, 2024 | Medium

The AI Guy ・ Sep 10, 2024 ・ Medium

How I Found New Ways to Make Money Writing in September 2024

The AI Guy ・ Sep 18, 2024 ・
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