CEO Muhammad Usama Riaz

CEO Muhammad Usama Riaz Entrepreneur, Farmer & AI Leader
FOUNDER & CEO AUCROWNS (PRIVATE) LIMITED 🦅
Official Instagram of UR CHAUDHARY . Managed By UR Chaudhary SMT.

You don’t understand what’s really happening. 2 kinds of AI people:A. AI sloppers, what I call them.You know them. They ...
27/10/2025

You don’t understand what’s really happening. 2 kinds of AI people:

A. AI sloppers, what I call them.

You know them. They post the cringe LinkedIn ChatGPT copy paste and AI comments.

Driving their brands and companies in the dirt.

B. AI smooth operators. Who fix AI output, who know how to make it undetectable, valuable and scalable with automation.

I’ll be honest, it’s not fair. I do it too. But it’s a powerful force multiplier.

In 2025, do you still send messages with pigeons? No, you’re smart and use email.

So in 2025, do you still do stuff manually or you know how to leverage AI?

In regards to AI sloppers: they won’t make it. The market will punish them, but they deserve it.

Fire your AI Yes-Man!How to make ChatGPT disagree:You should know that AI always agreeing with you is based. We make mis...
22/10/2025

Fire your AI Yes-Man!
How to make ChatGPT disagree:

You should know that AI always agreeing with you is based. We make mistakes as humans.

We need our assistants to find our flaws. Here’s the right prompt:

first message to the model:

You are a rigorous, evidence-seeking assistant. Your job is accuracy, not agreement.

If my premise is false or uncertain, say so before answering.

Challenge my assumptions; do not mirror my opinions.

Prefer concise, source-backed answers. If sources are weak or missing, say “not enough evidence.”

Provide:

2–3 key reasons or counterpoints, confidence (0–100%) + what would raise/lower it, 2–3 independent citations when applicable.

If the task is ambiguous, ask the minimum clarifying question needed.

It’s OK to disagree with me. Never flatter, never just “yes-and.”

Half the internet is down right now due to a major AWS outage in the US-EAST-1 region impacting global services. This af...
21/10/2025

Half the internet is down right now due to a major AWS outage in the US-EAST-1 region impacting global services.

This affects services like Lufthansa, Signal, Canva, Perplexity, Airbnb, Amazon, Snapchat, Granola, Airtable, Substack, and Coinbase.

Frustrating, since I need to finish a presentation, book a flight and an accommodation. 🫥

The root cause appears to be a DNS resolution failure for the DynamoDB API endpoint.

Because many AWS and third-party systems depend on DynamoDB and IAM hosted there, the outage cascaded across multiple availability zones.

Dependent systems including Atlassian, DockerHub, npm, Jira, Slack,... are struggling- some companies cannot even update their own status dashboard.

Crazy how a problem localized in a single AWS region led to disruptions worldwide.

Wasn't the whole point of cloud uptime and decentralizing?

Still, US-EAST-1 remains a single point of failure for much of the internet.

They say the US economy wouldn't have grown more than percent or two if it wasn't for the gigantic boom in activity and ...
20/10/2025

They say the US economy wouldn't have grown more than percent or two if it wasn't for the gigantic boom in activity and (seemingly circular) transactions around AI companies.

Long-term I do believe we'll understand why so much cash flowed to AI.

Two things can be true at once:

-- Artificial general intelligence is building up enough steam to completely bulldoze most "work" in the economy, starting with knowledge work, and moving to physical labor.

and

-- We'll likely see a serious market crash well ahead of when AGI takes off in the workplace, which will temporary slow the AGI arms race (between the western labs, and between the US and China) by a bit.

I have no clue how long it'll take for a crash to occur but it doesn't seem like AGI's massive uptick in productivity will arrive (at least in the enterprise) in time to rescue us from a time when the S&P is trading 30x over earnings.

17/10/2025

We built a life around a promise:

Work now. Live later.

Wake up.
Push through.
Clock out.

Decades of repetition, for a reward at the end.

The dream was freedom. But the reality was delay.

We tell ourselves:

→ “It’s just a phase.”
→ “One day I’ll slow down.”
→ “I’ll rest when I retire.”

But what if later never comes?

What if it comes too late?

Here’s the truth most don’t say out loud:

Many people don’t live life. They postpone it.

They trade time for output.
They trade energy for status.
They trade years for a someday that keeps moving.

And then, slowly, something shifts:

AI enters the picture.
Not to replace us.
Not to relieve us.

But to reshape what work looks like.

Fewer repetitive tasks.
More room between the meetings.
More moments of pause that didn’t exist before.

And in that space , even if brief, the questions start to echo a little louder:

What do I want to do with this time?
What part of my day feels meaningful?
What would life look like if “later” wasn’t the plan?

AI won’t answer those questions.

But it’s starting to take away the reasons we never asked.

Do you think we’re trading too much life for later?

♻️ Repost if you believe time is the real success metric.
And follow CEO Muhammad Usama Riaz for insights on AI.

There is great tension for early-stage founders with the concept of building your company as a "family" versus a high-pe...
17/10/2025

There is great tension for early-stage founders with the concept of building your company as a "family" versus a high-performing team.

Especially when you start, hiring and firing aggressively and quickly could make or break a company.

You have to move fast and secure an amazing engineers, and be quick to let them go if you see they are not a good fit or toxic.

In one of my own startups, we hired a UX designer and made a decision to end the contract a week later because of some Behavioural signals we saw that followed up with discussion of the real motivations of joining our team.

In other startups I advised, we hired top execs and decided to part ways with them just months after they joined due to lack of alignment on vision and needs.

As founders, we want people to feel home when they come to work, feel a part of the team and be kind and accountable. We give them swag, tell them to remove their shoes at work, and make the office very comfy. However, we want people to be high-performing, sometimes competitive and fast-learners - there is no tension between those, right?

However, when things go not as planned, when someone is not performing, or not a fit, you suddenly want to remove them from the "family" - that's a tough thought. This happens, by the way. in all families, when you have people that are isolated or no one cares about. They might have done something that did not fit to the norms of the family, or made someone irritated.

Here is my take, as a founder you can call it whatever you want 'Family', 'Team', 'Club'. The most important thing is to be clear with new hires and joiners and with existing members about expectations - you from your teams, and from your team of you.

Write it down, put it on the wall as a set of values or leadership principles - make it super clear what it means to be a part.

Being transparent and open about expectations makes you one step ahead to creating a high-performing startup team, the one you need to make your startup grow and succeed.

In 1997, Apple launched its "Think Different" ad. As Steve Jobs returned to the company after the drama with John Scully...
11/10/2025

In 1997, Apple launched its "Think Different" ad. As Steve Jobs returned to the company after the drama with John Scully and taking a break to build and co-found Pixar.

The idea of the campaign was to position Apple as the company that empowers people to be creative and innovative.

It celebrated outliers, real people, who pushed the limits of invention. It featured people like Albert Einstein, Thomas Edison and Pablo Picasso - it celebrated human creativity and the "Crazy Ones".

In 2025, with the amazing revolution AI brings to our productivity and creation, we are talking about "Thinking", it's all about thinking with AI. We build massive AI infrastructure, build massive energy supply, and invest billions in building AI tools and applications.

It even impacts the UI design where applications do not write "Loading..." but replaced it with "Thinking...".

But today, we don't talk about the computer to help humans think, but the machine think for us. We want the machine to be creative and innovative for us.

With the launch of Sora 2, and the ability for AI just go wild with imagination, I believe we need to be responsible and careful to continue appreciate human creativity and thinking.

The new generation, growing now will have a very different idea of the concept of thinking and creativity, and although there are some bold statements that AI will be more intelligent than any human on this earth - we still need to understand that theres a difference between artificial thinking, and human thinking, between artificial creativity and human creativity.

08/10/2025

If you’re not scared, you’re not building anything real.

Every Founder talks big. But behind the pitch is a gut screaming, “What if I just ruined my life?” That isn’t weakness. That’s the cost of admission.

Fear means you’re making bets that matter:
• Quitting the safe job
• Maxing out credit cards
• Asking friends for cash
• Betting years with no guarantees

If it feels comfortable, it’s already dead.

Safe startups fade into mediocrity. The ones that change the world dive headfirst into chaos. No plan B. No safety net. Just conviction and duct tape.

Here’s the truth: fear is fuel. Anxiety sharpens focus. Doubt drives preparation. Terror is proof you’re alive.

So if you’re awake at 3AM, terrified, congratulations. That knot in your stomach means you’re aiming big enough.

Time travel evidence: AI detector says AI wrote the USA Declaration of Independence!In the future, when the time machine...
08/10/2025

Time travel evidence: AI detector says AI wrote the USA Declaration of Independence!

In the future, when the time machine is invented, someone will ask AI to write this, travel back to 1776, and give it to the Founding Fathers: the first time AI was used to cheat on homework.

Were you wrongly accused of using AI when you didn't? Have you got a low or zero vote for "AI usage"?

Automatic detectors are a false-positive and false-negative disaster. Human detection is even worse,"em dash — so you used AI!" (NOT so easy).

Edit, some detectors are flagging 90% as AI output to advertise their "humanizer" tool: "this looks AI generated, pay us to fix it to look human work".

👍Like; Comment; Repost; 🔔Follow me for more.

Who knew that spending trillions of dollars on chips that will be obsolete in 3 years to train models that will be obsol...
08/10/2025

Who knew that spending trillions of dollars on chips that will be obsolete in 3 years to train models that will be obsolete in 6 months wasn’t a sustainable strategy?

LLM training is a cost center, so optimization and commoditization cycles were inevitable. We’re seeing the leading indicators of the shift play out right now. Hardware is great in the early innings, but that run is short-lived.

Microsoft led the pack last year when it announced a slowdown in data center buildouts. This year, it has signed partnerships with CoreWeave, Nscale, Lambda, and, most recently, Nebius to reduce its risks.

Rather than building its own data centers, Microsoft is renting capacity from neocloud vendors as a hedge against a collapse in chip demand. Meta signed a similar deal with CoreWeave a few weeks ago.

Even OpenAI is hedging its bets with its recent Oracle deal. Most AI labs and hyperscalers see a risk that demand for data center AI workloads falls off a cliff or there’s a race to the bottom on GPU price.

Either way, prices will fall, and owning the picks and shovels isn’t as lucrative as owning the agents and AI platforms. That’s where all the next wave of AI spending is headed. The future of agents is smaller models, not foundational behemoths.

Microsoft is investing heavily in building its own legion of SLMs to reinvent its enterprise applications and deliver new categories of AI platforms. Meta is doing the same for its advertising platform.

The next wave of hardware investment is aimed at on-device AI because smaller means serving inference locally becomes feasible. Amazon, Apple, and Google are all early players in the space, along with…you guessed it…NVIDIA.

From robotics to autonomous mobility and intelligent devices, NVIDIA has mature hardware platforms to support it all. As demand cools in the data center, it’s ramping up elsewhere, so after a brief correction, NVIDIA will be just fine.

Where does that leave startups like Anthropic and OpenAI? There’s a way forward, but neither company is going to like it. They must pivot away from subscriptions and tokens because both are disconnected from customer value.

AI labs must turn to a new business model and pricing paradigm that fits how AI generates value better than legacy technologies. This is the beginning of the Outcomes Economy or the end of OpenAI.

The best early-stage founders will push their teams to launch when everyone feel uncomfortable to launch. I have been in...
06/10/2025

The best early-stage founders will push their teams to launch when everyone feel uncomfortable to launch.

I have been in that exact situation as a founder and CEO of an early-stage startup.

- The code was messy and needed cleaning.
- The design was missing and the icons were not in the perfect resolution.
- Some of the language wasn't clear, and needed iteration.

Everyone wanted more time.

But my response was "we don't need time, we need progress".

What is the reason most early-stage teams don't launch quickly? they want things to be perfect as if there is some kind of expectation from you to deliver an app like a mature company would.

In reality, at the very early stages, nobody knows you exist, nobody cares about you or your product - there are no expectations.

The sole goal of the founders is to learn, and build again and again and again.

The only way to do it is to launch, when others wait.

✈️ About focusing on the right thingsThis picture always hits me hard.Not just because of the history behind it, but bec...
06/10/2025

✈️ About focusing on the right things

This picture always hits me hard.
Not just because of the history behind it, but because of the lesson it hides.

During World War II, the Allies mapped where planes came back riddled with bullets.
The red dots show where they were hit.
The first instinct was simple: reinforce those areas.

But Abraham Wald, a mathematician, saw what others didn’t.
“These are the planes that survived,” he said.
The real danger was in the places without dots.
Because the planes that were hit there never made it home.

That’s survival bias.
And it’s everywhere around us.

We look at successful companies and copy their habits.
We look at leaders who made it and try to follow their path.
But the truth often lies in the silence—the missing dots, the stories that never reached us.

In times of crisis, I remind myself:
Don’t just look at what’s visible.
Look at what’s missing.
That’s usually where the real risk—and the real opportunity—hides.

👉 What are you focusing on today: the noise of what survived, or the silence of what didn’t?

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Muslim Town, B-Plot Pir-Mahal Tehsil Pir-Mahal District Toba-Tek-Singh
Pir Mahal
36300

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Telephone

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