Cyberiad Labs

Why Cyberiad Labs exists

“I think, therefore I am”. If AI does the thinking, who are we?

TL;DR: AI is the most powerful and the most impactful technology ever created, and it is going to radically change every industry and almost every part of our lives. But too many people are using it in a way that makes them worse: they stop thinking, and they start sounding like their chatbot. Cyberiad Labs teaches how these machines work and how to work with them, so that you keep your own judgment and your own voice, and get faster and better at your work while you are at it. Our first milestone is 1,000,000 learners by 2030.

"Claude told me."

We hear it every day now, and nobody adds "and I checked". In fact, most people have stopped mentioning the chatbot at all: what it said is simply what is true, and there is only one truth. Ten years ago the phrase was "I saw it on TV", and twenty years before that it was "it's in the paper". The chatbot is now the thing you don't question, and unlike the paper it answers instantly and flatters your ego while it does. [1] It tells you what smart feedback you gave it, even when it was actually the dumbest thing you have ever typed. It will answer on any subject, including the ones it knows nothing about, and including the ones that are nobody's business but yours. For some people today, ChatGPT, Claude, Gemini, and the others are deciding who divorces, what values children are taught, and how people vote. But their answers are not neutral and they will never be. David Rozado gave 11 political orientation tests to 24 of these systems, and almost all of them came out left of centre. [2] The same models in their raw state, before the companies “tune” them, do not lean that way. They do not flatter your ego. These things happen because these companies are deciding how the AI should sound and what it may or may not say. You didn’t make any of these choices. They were imposed on you by a small group of people who run the companies behind these AIs.

LinkedIn is one of the public places where you can watch people losing their personality, almost in real time. It has become a content farm where humans are the distribution layer for ChatGPT and Claude output. People add no work of their own on top, and I am not convinced they read what they post. Zero character, zero soul. It is almost as if these AIs were using people as empty vessels to spread their own vision of the world. And every braindead post is owned and represented by a real name and a real network. In July 2026, Originality.ai ran 5,000 public LinkedIn posts through its detector and 81.2% came out as likely AI, up from about half in late 2024. [3] There were nine different topics in that sample, and only one voice: the same opener, the same three bullets, the same closing question written with the exact same style and tone.

In 2025 an MIT Media Lab team put EEG caps on 54 people and had them write essays over four months, a third with ChatGPT, a third with a search engine, and a third without anything. The ChatGPT group showed the weakest brain activity of the three, and when asked to quote a sentence from the essay they had just written, most of them could not even do that. [4] Microsoft's researchers surveyed 319 knowledge workers the same year and found that the more confidence a person had in the AI, the less critical thinking they did. [5]

The headlines worry about the day the AI and the robots wake up and kill us all. I worry about the day before, when we have lost ourselves, one prompt at a time. I worry about a future where one model, treated like the one true voice, decides what we think, how we think it, and how we say it. Nobody has to kill anyone in this scenario, because we do it to ourselves. I call it soul suicide.

I say this as someone who absolutely loves this technology. I use it every single day. My wife uses it every day as well, and my kids use it often. AI used the right way is simply incredible. I am still amazed every time I use it, and I think about how lucky we are to have it in our hands at all. I have spent my career teaching people to use technology, and until now, I have been focusing on building software. I started more than 10 years ago at Holberton, which I co-founded, then at ALX, where our technology and our programs reached 1.6 million people. Today, it is clear that the technology to focus on is AI. Because of all the reasons I talked about so far, and more practically also because my own learners are worried it will take their jobs. Maybe it will, in a few years, and nobody honestly knows. What is happening today is smaller and more certain. The person who will take their job will be someone who uses AI better than they do. It is no longer only what I believe, it is also what the data shows. 71% of business leaders now say they would rather hire someone with less experience and AI skills than someone with more experience and none, and 66% say they won't hire without AI skills at all. [6] And the same jobs pay 56% more when they ask for those skills. [7] No job is staying what it was.

Of course we should use AI. The question is whether you still know what you think while you use it, whether you will still have a personality of your own ten years from now, and whether the decisions in your life are still being made by you.

Education is the answer to all the above, the way education has always been the answer. We have to explain to everyone how these machines work and how to work with them, so that you stay the person using the tool instead of becoming the tool these systems use. You get more of the work you actually want to do, and you do keep your voice while you do it.

With our courses, and from the very beginning, you see with your own eyes that the thing that sounds so sure, the thing people follow like a best friend or a god, is a text predictor, guessing its answer one “word” at a time, with a product wrapped around it. And that it can and will make mistakes. From there the courses go deeper with the same rule: you get more out of the AI, while staying yourself all along.

This work would be worth doing even if the technology stopped improving tomorrow. Staying who you are, with all your humanity, is not a bonus on top of a productivity gain. It is worth more than anything else. That is the whole point. It is also the only way the promise of AI makes sense. An AI has already predicted the structure of virtually all 200 million proteins that science has identified, work that won the 2024 Nobel Prize in Chemistry and is now in the hands of two million researchers in 190 countries. [8] Another one found an antibiotic that kills bacteria resistant to all known antibiotics. [9] I believe this technology will cure cancer, auto-immune diseases and every disease that we know of. It will give a kid in Kisumu the same tutor as a kid in Palo Alto. It will help us discover and explore new worlds. All of this is only worth it if we keep our minds and our characters intact. What is the point of building a better world if we don’t even know who we are anymore?

We cannot reach everybody alone, and we are not trying to. Schools, companies, non-profits and governments are watching the same thing happen to their own people, some of them worried about the thinking, some about the jobs. We want to be the platform that helps them. And with everyone’s help we want to enroll 1,000,000 learners by 2030.

We believe that this is the most important thing we will ever do. I built schools and programs for more than ten years and I was proud of them. But this matters way more. Not because of the jobs, although we will do the jobs part too. But because thinking is not something you should delegate to a machine. It is what and who you are.

Julien Barbier, co-founder, with Youssef Charif Hamidi, co-founder

Sources

  1. Mrinank Sharma et al., Towards Understanding Sycophancy in Language Models: five state-of-the-art assistants are consistently sycophantic, human preference data rewards answers that match the user's views, and optimising for those preferences sacrifices truthfulness. arxiv.org
  2. David Rozado, The Political Preferences of LLMs: 11 political orientation tests given to 24 conversational systems, and to five base models separately. arxiv.org
  3. Originality.ai, 30 July 2026: 5,000 public LinkedIn posts, 81.2% likely AI, against about half in late 2024. originality.ai
  4. Nataliya Kosmyna et al., MIT Media Lab, Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task: 54 participants, four sessions, EEG. arxiv.org
  5. Hao-Ping Lee et al., Microsoft Research, The Impact of Generative AI on Critical Thinking, CHI 2025: 319 knowledge workers, 936 first-hand examples. microsoft.com
  6. Microsoft and LinkedIn, Work Trend Index 2024: 31,000 people in 31 countries. microsoft.com
  7. PwC, 2025 Global AI Jobs Barometer, 3 June 2025: the average premium reached 56%, up from 25% the year before. pwc.com
  8. The Nobel Prize in Chemistry 2024, on AlphaFold2. nobelprize.org
  9. MIT News, 2020, on halicin, published in Cell. news.mit.edu