Priyanka

HR by profession , Mother 24/7 , self proclaimed home chef and 💕👨‍👩‍👧

[Bethany O’Leary 🇺🇸 🦅 @BethanyForTruth]

I’m convinced cars are so insultingly expensive now because manufacturers have completely lost the plot!! 🙄🤦🏻‍♀️

I need my car to DRIVE.

I don’t need a panoramic command center, biometric identification, ambient lighting that matches my menstrual cycle and a computer that requires a software update before I can turn the freakin air conditioner on. 😭

Please, for the love of God just give me AC, Bluetooth, MAYBE a backup camera and an engine that doesn’t DIE at 70,000 miles.

You built a vehicle. Stop adding unnecessary shit that’s making them unaffordable…..

[Mr. Nobody @MmisterNobody]

It’s wild that it’s become normal to leave your kids at daycare five days a week, eight hours a day, just so you can go to a job that mainly pays for daycare, the car to get there, and a house you’re rarely home to enjoy.

We’re stuck in a cycle of working just to afford a life we barely get to live.

[Priyanka @Priybamchow]

@messitastique 😂😂

[max @mSanterre]

Young Canadians can't have kids because they're too poor funding other people's kids.

[Clint Awana @clintoptions]

I have a secret to share

After your first $2–$3 million, a paid off home and a good car, there is no difference in quality of life between you and Jeff Bezos. Both of you have limited amount of time on earth; you have twice if not more than Jeff, so you are richer than him. A cheeseburger is a cheeseburger whether a billionaire eats or you do.

Money is nothing but a piece of paper or a number in your app. Real life is outdoors.

Become financially independent; that’s usually 2–3mil. Have good food. Enjoy the relations. Workout. Sleep well. Call your parents. That’s all there is to life. Greed has no end.

Repeat after me: Time is the currency of life. Money is not.

Sooner you figure this out, happier you will be.

[Corporate Absurdity @CorpAbsurdity]

LinkedIn should add a "Firing" banner so we know which companies to avoid.

[Will Slaughter @BamaBonds]

In 3 years from December 2019 to December 2022, Block $XYZ more than tripled its headcount from 3,900 to 12,500.

Unwinding less than half an insane COVID overhiring binge has much more to do with Jack Dorsey's managerial incompetence than whether AI is going to take your job.

[Machiavelli Bot @UnmodernmanBot]

The secret to discipline is protecting the first hour. If the first hour gets stolen by noise, messages, and cheap dopamine, your day becomes reactive. Win the morning with one hard task and one clean habit, and the rest of the day obeys that early identity.

[Priyanka @Priybamchow]

@JimChuong True !

[Alex & Books 📚 @AlexAndBooks_]

I listened to 300+ podcasts in 2025.

Here were my top 10 favorite ones:

[Jaynit @jaynitx]

In 2014, Peter Thiel gave a 1-hour masterclass on how to build a monopoly from scratch.

He broke down how:
• Google became untouchable
• PayPal beat the odds
• Facebook crushed competition

Here are 11 timeless lessons from his masterclass:

1. Create value, then capture it

[Peter Girnus 🦅 @gothburz]

Last quarter I rolled out Microsoft Copilot to 4,000 employees.

$30 per seat per month.

$1.4 million annually.

I called it "digital transformation."

The board loved that phrase.

They approved it in eleven minutes.

No one asked what it would actually do.

Including me.

I told everyone it would "10x productivity."

That's not a real number.

But it sounds like one.

HR asked how we'd measure the 10x.

I said we'd "leverage analytics dashboards."

They stopped asking.

Three months later I checked the usage reports.

47 people had opened it.

12 had used it more than once.

One of them was me.

I used it to summarize an email I could have read in 30 seconds.

It took 45 seconds.

Plus the time it took to fix the hallucinations.

But I called it a "pilot success."

Success means the pilot didn't visibly fail.

The CFO asked about ROI.

I showed him a graph.

The graph went up and to the right.

It measured "AI enablement."

I made that metric up.

He nodded approvingly.

We're "AI-enabled" now.

I don't know what that means.

But it's in our investor deck.

A senior developer asked why we didn't use Claude or ChatGPT.

I said we needed "enterprise-grade security."

He asked what that meant.

I said "compliance."

He asked which compliance.

I said "all of them."

He looked skeptical.

I scheduled him for a "career development conversation."

He stopped asking questions.

Microsoft sent a case study team.

They wanted to feature us as a success story.

I told them we "saved 40,000 hours."

I calculated that number by multiplying employees by a number I made up.

They didn't verify it.

They never do.

Now we're on Microsoft's website.

"Global enterprise achieves 40,000 hours of productivity gains with Copilot."

The CEO shared it on LinkedIn.

He got 3,000 likes.

He's never used Copilot.

None of the executives have.

We have an exemption.

"Strategic focus requires minimal digital distraction."

I wrote that policy.

The licenses renew next month.

I'm requesting an expansion.

5,000 more seats.

We haven't used the first 4,000.

But this time we'll "drive adoption."

Adoption means mandatory training.

Training means a 45-minute webinar no one watches.

But completion will be tracked.

Completion is a metric.

Metrics go in dashboards.

Dashboards go in board presentations.

Board presentations get me promoted.

I'll be SVP by Q3.

I still don't know what Copilot does.

But I know what it's for.

It's for showing we're "investing in AI."

Investment means spending.

Spending means commitment.

Commitment means we're serious about the future.

The future is whatever I say it is.

As long as the graph goes up and to the right.

[Priyanka @Priybamchow]

@astr0l0gyjunkie Tallow

[Priyanka @Priybamchow]

@TareqHadhad 💯

[Priyanka @Priybamchow]

@KrissBergTweets Loved this ! Thank you for sharing

[Kriss Berg, etc. @KrissBergTweets]

Excellent reframe when you hit hard times:

[Jonathan Haidt @JonHaidt]

There is more and more evidence that putting computers and tablets on students' desks (1:1 devices) was a terrible mistake. I agree with @AdamMGrant that "it's time to remove laptops [and tablets] from classrooms."

[Priyanka @Priybamchow]

@radbackwards Not having one woman in that frame , is worrisome for the future of the world.

[Priyanka @Priybamchow]

@WatcherGuru Is Optimus selling for $5 ? Even an electric car is still beyond what is affordable to most of the humans on this planet. So hard to believe what he is saying.

[Connor Davis @connordavis_ai]

I finally understand the difference between LLMs, RAG, and AI Agents.

After building production AI systems for 2 years...

Here's what actually matters:

They're not competing technologies. They're three layers of the same intelligence stack, and most people are using them completely wrong.

> The LLM is the brain <

It can reason, write, and understand language. But here's the catch: it's frozen in time. GPT-4 knows nothing past its training cutoff. Ask it about yesterday's news? Hallucination city.

LLMs are brilliant at thinking but blind to the present.

> RAG is the memory system <

It connects that frozen brain to live knowledge. When you ask a question, RAG searches external databases, pulls relevant documents, and feeds them to the LLM as context.

Suddenly your static model becomes dynamic. Fresh data. Real facts. Zero retraining needed.

The accuracy gains are immediate. Instead of guessing from training data, the model reasons over actual retrieved information. You can audit exactly which documents influenced each answer.

> AI Agents are the decision-makers <

While LLMs think and RAG informs, neither can act. Agents wrap a control loop around the brain. They perceive goals, plan steps, execute actions, and reflect on results.

An Agent doesn't just answer questions. It researches topics, pulls data, synthesizes reports, and sends emails. All autonomous.

Here's where it gets interesting.

Most AI demos are just LLMs with fancy prompting. Real production systems layer all three: the LLM for reasoning, RAG for accuracy, and the Agent framework for autonomy.

Use an LLM alone when you need pure language tasks: writing, summarizing, explaining.

Add RAG when accuracy matters: answering from internal docs, technical manuals, domain-specific knowledge.

Deploy Agents when you need real autonomy: systems that decide, act, and manage complex workflows.

The future isn't about choosing one. It's about architecting all three together.

LLMs for thinking. RAG for knowing. Agents for doing.

That's the actual intelligence stack.