The best LinkedIn Posts

Here's my conversation with Jensen Huang, CEO of NVIDIA, the most valuable & one of the most influential companies in the history of human civilization. It is the engine powering the AI revolution.

This was a fascinating & inspiring conversation, in parts super-technical on engineering of every part of the AI stack, memory, power, supply chain (TSMC, ASML, etc), in parts about leadership & psychology, and in parts personal & philosophical about life, consciousness, mortality, and human nature.

https://lnkd.in/gd5nBFxs

Hiring one of these type of people can change the course of your business.

Warto o tym zawsze pamiętać.

Najlepsi ludzie rzadko odchodzą z dnia na dzień.
Najpierw przestają być słyszani.
Potem przestają być widziani.
Na końcu przestają się starać.

Aż w końcu ktoś inny zobaczy w nich to, czego Ty nie chciałeś zobaczyć.

I wtedy jest już za późno.

A co Ty o tym myslisz?

——

Zaobserwuj mój profil Tomasz Osman, żeby być na bieżąco z moimi wpisami i ofertami pracy w marce SAVICKI

——

There are seasons where nothing feels easy.
Where progress is quiet and results are not visible yet.

This is where persistence matters most.
Not loud effort. Not urgency. Just steady continuation.

Resilience is built in those unseen moments.

A micromanager is someone you pay to
watch your best people walk away.

I once worked for a leader who thought he was "supportive."

He called it alignment.

But it felt like suffocation.

The constant check-ins didn’t ensure quality.

They ensured I spent more time reporting on work than actually doing it.

If you don't trust the people you hired,
the problem isn't their performance.

It’s your leadership.

10 types of micromanagers:

1. The Endless Tweaker
↳ They spend hours perfecting work that's already good

2. The Status Stalker
↳ They "just check in" every hour because they can't manage their own anxiety

3. The Process Police
↳ They create rigid procedures for everything

4. The Task Reclaimer
↳ They take back delegated tasks because no one can do it as well as they can

5. The Calendar Hijacker
↳ They schedule unnecessary meetings to stay in the loop

6. The Fire Drill Fanatic
↳ They create fake urgency to make people work harder

7. The Solution Dictator
↳ They tell their teams exactly how to solve problems instead of letting them think

8. The Unsolicited Advisor
↳ They give constant 'helpful' advice no one asked for

9. The Detail Obsessor
↳ They waste hours on minor details that don't affect the outcome

10. The Gatekeeper
↳ Everything needs their approval

Trust and empower your team.

Then step back to let them do their best work.

♻️ Repost for leaders who want to get this right
➕ Follow Dora Vanourek for more

Finding a job shouldn't feel like a full-time job:

Scrolling job boards.
Filling the same forms.
Sending dozens of applications.

There’s a better way - meet JobCopilot.

An AI copilot that automates your job search end-to-end:

👉 https://lnkd.in/dMqWP-Ux

Here’s what makes it different:

1. No more repetitive applications

Upload your CV once.

Answer screening questions once.

JobCopilot reuses everything accurately across applications.

No more filling the same forms 100 times.

2. Only verified jobs

Most job boards are full of duplicates and fake listings.

JobCopilot pulls jobs directly from official company career pages.

3. AI that learns your voice

Every time you edit an application:

Your copilot learns.

It adapts to your tone, writing style, and preferences using machine learning.

4. Smarter job matching

The AI learns from your behavior.

Apply to a job → it learns. Discard a job → it learns.

Over time, recommendations get closer to exactly what you want.

5. Built-in networking

After applying, JobCopilot suggests who to connect with on LinkedIn.

Even gives you ready-to-send outreach messages.

The reality today:

Most people need 80–100 applications to land one interview.

Manually, that can take weeks.

JobCopilot can apply to up to 50 relevant jobs per day automatically.

Same effort, less time wasted, and higher chances of interviews.

More time for networking, learning, and preparing for interviews.

That’s how job searching should work in 2026.

Try JobCopilot today:

👉 https://lnkd.in/dMqWP-Ux

Everyone is excited about AI writing code.

Copilot. Cursor. Claude Code. Amazing tools.

But here is something most people don’t realize:

𝐖𝐫𝐢𝐭𝐢𝐧𝐠 𝐜𝐨𝐝𝐞 𝐢𝐬 𝐨𝐧𝐥𝐲 𝐚𝐛𝐨𝐮𝐭 25% 𝐨𝐟 𝐬𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭.

The rest is the messy part:
- testing
- debugging
- investigating incidents
- monitoring production
- handling customer tickets

In many companies, engineers spend 30–70% of their time on these tasks.

So something interesting is happening.

AI is making us much faster at writing code, but our ability to understand what that code will do in production has not scaled at the same speed.

More code.
More complexity.
More production failures.

This is why I found the approach of PlayerZero interesting.

Instead of focusing on writing code, they focus on keeping software alive after it ships.

Their idea is surprisingly simple.
PlayerZero connects three worlds that normally never meet:
• the codebase
• the observability data (logs, metrics, alerts)
• the customer support tickets

From that, it builds what they call a “world model” of the production system.
A living map of how the software actually behaves in the real world.

And, here is the part I found most fascinating.
Every bug, every incident, every strange edge case becomes permanent system knowledge.

In most companies, that knowledge lives in the head of one senior engineer.
The person who remembers the strange bug that happens only when service A talks to API B with configuration C.

When that engineer leaves, the knowledge disappears.
With a system like this, the knowledge stays.

In a way, it becomes an immune system for software.
Every failure trains the system to prevent the next one.

So a new category of AI may emerge:
Not AI that writes software. But AI protects software from itself.

The builders get the headlines. But in the long run, the guardians may matter even more.

Curious to hear your view:
As AI writes more and more code, what will matter most next? AI that builds software or AI that keeps it from breaking?

#PlayerzeroAmbassador #AIEngineering #SoftwareEngineering #DevOps #AIOps #AIForDevelopers #FutureOfSoftware

Letting your mistakes go and moving on is an underrated skill in your career and life.