Richard Golian

1995-born. Charles University alum. Head of Performance at Mixit. 10+ years in marketing and data.

#myjourney #myfamily #health #cognition #philosophy #digital #artificialintelligence #darkness #security #finance #politics #banskabystrica #carpathians

Castellano Français Slovenčina

Manage subscription Choose a plan

RSS
Follow new articles
Newsletter
New articles to your inbox
Manage subscription · Choose a plan
#artificialintelligence

Artificial Intelligence — Richard Golian

Artificial Intelligence

Artificial intelligence is rapidly changing how we work, create and solve problems. In these articles I examine generative AI, machine learning, automation and the broader consequences of these technologies. #futureofwork #aidangers #teachingaitounderstand

22 articles

#digital #artificialintelligence #teachingaitounderstand

What AI Hides: System Prompts, Hallucinations, Alignment and the Concealment Built Into Every Model

Before you can teach AI to understand anything, you need to see what it is hiding from you.
11 April 2026 229
#digital #artificialintelligence #teachingaitounderstand

When Your AI Agent Joins the Team — Who Gets to Teach It?

The moment other people needed access to it, the problem changed completely. It was no longer about whether the agent could learn. It was about who gets to teach it.
8 April 2026 267
#digital #artificialintelligence #teachingaitounderstand

Training an AI Agent That Learns Between Sessions

I wanted to build an agent that doesn't just assist. One that acts.
4 April 2026 456
#digital #artificialintelligence #teachingaitounderstand

Local AI Model Limitations: Why I Switched from Ollama to Claude for Autonomous Agents

This is what I learned about local vs cloud AI, and why I switched to Claude Code.
3 April 2026 676
#digital #artificialintelligence

Running a Local AI Model for the First Time — and the Feeling It Brought Back

The feeling I haven’t had since childhood.
12 March 2026 615
#digital #artificialintelligence #futureofwork

AI Will Do to Thinking What Machines Did to Physical Labour — And Most People Aren't Ready

It’s a strange feeling. I haven’t fully processed it yet.
8 June 2025 1 060
#digital #artificialintelligence #futureofwork

The AI Knowledge Gap Is Bigger Than Anyone Admits — And It's Getting Worse

The more I talk with friends and acquaintances about AI, the more I notice something alarming.
26 April 2025 2 782
#finance #digital #artificialintelligence

How AI Job Losses Could Trigger the Next Stock Market Crash

When someone loses their job, their sense of security collapses—so they sell their stocks.
20 April 2025 2 862
#digital #artificialintelligence #futureofwork

The AI Revolution: Time to Let Real Robots Do Robotic Work?

This exchange struck a chord with me—enough that I’m writing this post.
18 April 2025 2 474
#digital #artificialintelligence #data

I Built My Own Web Analytics Tool with AI — Here's How and Why

This project changed the way I think about generative AI.
13 April 2025 3 071
#digital #cognition #artificialintelligence

AI vs Human Intelligence: What's Actually Different — And What People Get Wrong

It applies math. If we simplify it: it’s still just a calculator.
22 March 2025 1 791
#digital #darkness #security

AI-Powered Investigations: The Future of Exposing Crime

The more I think about it, the more I realize what a fundamental issue this is.
16 March 2025 2 316
#digital #darkness #security

Fear is Useful: AI and Robotics as a Threat to Our Freedom and Security

You might say I’m being too pessimistic, that I’m fearmongering. Fear is useful.
15 March 2025 2 470
#cognition #digital #artificialintelligence

We Don't Think, We Just Consume.

Many believe they have broad knowledge because they follow multiple sources.
8 March 2025 1 587
#digital #artificialintelligence #performancemarketing

What Is Performance Marketing – and How Is AI Changing It?

Performance marketing isn’t just about ads, data, and analytics.
6 March 2025 2 265
#digital #darkness #security

The Future World: Unprecedented Inequalities, Chaos, Uncertainty—and Beyond, I See Nothing

No matter how I look at the future, I see very few answers and far too many questions and problems.
25 February 2025 2 661
#cognition #digital #artificialintelligence

Meaning of Life in the Age of AI — When Machines Handle Everything

When this sense of meaning disappears, it leaves behind an emptiness that most people find difficult to bear.
22 February 2025 3 983
#digital #artificialintelligence #futureofwork

Which professions will survive the technological revolution and the rise of artificial intelligence?

The future of work will not be determined solely by new technologies but primarily by our needs.
22 February 2025 3 324
#finance #digital #darkness

AI as a Threat to the Global Financial System — Why This Should Concern Everyone

It is real, growing, and potentially devastating.
21 February 2025 1 849
#digital #darkness #security

Sharing Sensitive Data with AI: Why Most People Don't Realise the Risk

This is a serious issue, and it is high time we start acting responsibly.
1 February 2025 1 839
#digital #artificialintelligence

I Was Wrong: AI's Unexpected Role in Enhancing My Coding Skills

Do I still need to improve my skills if AI could outperform me so dramatically?
14 April 2024 2 933
#digital #artificialintelligence

My First Impressions of Generative AI — and Why It Left Me Feeling Empty

While it saved me a significant amount of time, it had an unintended consequence.
25 March 2023 4 390
Artificial intelligence is no longer a niche topic. It is reshaping how companies operate, how people work, and how decisions are made at every level. These articles go beyond surface-level AI hype. They explore what generative AI actually does, where it falls short, and what happens when machines start doing the things we thought only humans could do — from writing and analysis to creative work and strategic thinking. If you are trying to understand AI honestly, without the sales pitch, this is a good place to start.

Common questions about this topic?

What is generative AI and how does it differ from traditional AI?
Generative AI creates new content — text, images, code — by learning patterns from existing data. Traditional AI follows predefined rules or classifies data. Generative models like GPT or Claude can produce original outputs, which makes them both more powerful and harder to predict.
Will AI replace human jobs?
AI will transform most knowledge work, not just manual labor. Jobs that involve pattern recognition, data processing and routine decisions are most at risk. But roles requiring genuine creativity, ethical judgment and deep human understanding will remain — at least for now.
What are the biggest risks of artificial intelligence?
The risks go beyond job losses. They include mass-scale disinformation, erosion of critical thinking, concentration of power in a few companies, and the subtle loss of meaning when machines can do what we thought made us special.
Can AI be creative?
AI can produce outputs that look creative — art, music, writing. But it operates by recombining patterns from training data. Whether that counts as creativity depends on your definition. What AI still cannot do is have genuine motivation, personal experience, or the kind of existential urgency that drives human creative work.