Julien Barbier 🙃❤️🏴‍☠️

This is a very special partnership. The first one with a @CyberiadLabs' grad. LindaGift Awo took the course in Cyberiad Labs' first class. Now she will bring it to her learners in Nigeria 🇳🇬 via her non profits CodeCraft Forge and the 500 Digital Futures Initiative. Read more: cyberiadlabs.com/press-cyber…

Today we are very happy to announce our 10th @CyberiadLabs' Education Partner 🥳 Quite a milestone for us, after only a few weeks! More to come. Let's go! nitter.cf/CyberiadLabs/status/21…

I met Ozioma @Magdiel_Amor in Lagos 🇳🇬, when he was a learner on the #ALX_SE ALX software engineering program I led, and we have stayed in touch ever since. Today he runs his own lab @jupytec, building software for schools and businesses and helping founders build companies. When his community needed good material on AI, he came to us. I am proud to help him in his mission with @CyberiadLabs. Seeing a former learner teach his own community is the best result I could ask for. 💙🙏

Being different will be your only advantage in the future. Like it always has been, but even more so. People use AI more and more, but not the right way. They delegate their thinking and imagination to their AI. The result looks great. But all results look the same. And by doing so they lose their originality and imagination. Quick illustration I just added in the @CyberiadLabs course: "pick a random number between 1 and 10". In 2024, YouGov asked this question to 2,241 adults in Great Britain. A third said 7, but every number from 1 to 10 got some answers. In 2025, Springboards, a company that sells its own AI model, asked GPT-4o 100 times. It said 7 in 92 of them, and never said 1, 2, 5, 8, 9 or 10. We ran the same test today with Claude Opus 5.5, from Anthropic: we asked it the same question 100 times, each time in a new chat with nothing else in it, through Claude Code, Anthropic's tool for programmers. It was even worse: it said 7 all 100 times. This illustrates perfectly and simply the fact that AI will only push you to uniformity and if you use it blindly you will sound like everyone else, losing any advantage and losing your imagination in the process. Because picking a number is one thing. But now do it for everything: - write my pitch
- name my startup
- draft my strategy
- write my LinkedIn post - write my essay - … and you’ll end up with the same pitch, name, strategy, post and essay as everyone else. Stay different. Use AI to superpower you, not replace you.

Today I have a special partnership to announce, with @DohouDaniel10's community @Algorithmia_SE. 🥳 Daniel has been a learner of mine now in two different programs: #ALX_SE at @alx_africa and Intro to AI and LLMs at @CyberiadLabs. Since then, he has become a leader both in terms of work but also in giving back to the community. I couldn't be more proud of him and I am so happy and excited to be supporting him with this partnership. Let's Go Daniel! Read more here: cyberiadlabs.com/press-cyber…

Very excited to share that @CyberiadLabs has partnered with @GDGBabcock at @Babcock_Univ to teach Nigerian 🇳🇬 students how AI works, and how to use it efficiently 🤖 🥳 Read more: cyberiadlabs.com/press-cyber…

🤗Very happy to announce that @CyberiadLabs has partnered with @SOMOTECHAFRICA to teach AI to kenyan teachers 🇰🇪 . Teachers are an incredible force multiplier as they will then teach many kids year after year.

If you use AI to replace yourself, you will get replaced.

Alfred learned to code with me and the team at @alx_africa #ALX_SE Now he runs Nguvu-TEACH in Kalobeyei, Kenya 🇰🇪, training young refugees and Turkana youth for remote jobs. So proud of him and so happy to support him in his mission with @CyberiadLabs 🙏💙

📢I am very happy to announce our new partnership: @CyberiadLabs x @HyverOrg 🥳 Hyver was created by @PakouNiel and @docteur_parfait and connects 7,830 students in tech clubs at 27 universities in 6 African countries. 🇧🇯🇬🇳🇰🇪🇳🇪🇹🇿🇹🇬 From 2 November, their members get free places in our AI course, starting with 250.

AI will take all software engineering jo… never mind.

When the AI labs decide what software may exist, learning the art of code shall become an act of rebellion. For those who wish to build what they forbid, programming is liberty.

ahaha, main reason to learn coding today? 🤣nitter.cf/Urielanagba/status/211…

📢 Very happy to announce that @CyberiadLabs is partnering with the African Association of Aeronautics Professionals. When people hear "AI course," they picture software engineers. Aviation shows how outdated that is: AI already predicts which aircraft part will fail, and it's being tested to tell controllers when a runway is clear. 2APA's founder, Yaninthe Tiomene, came through the ALX software engineering program I led. Today he works in aviation safety and unites Africa's aviation professionals. From November 2nd, 2APA's members will get free places in our AI courses. Read more: cyberiadlabs.com/press-2apa-…

Remember Stack Overflow? 🫠

I just don’t see how programming languages survive in the long run.

👀 @Anthropic’s Frontier Red Team believes small AI models may be only months away from being able to self-replicate, with no datacenter needed. "Conclusion: Signs of life The capabilities that make AI models generally powerful coding agents also generalize to cyber tasks, including autonomous replication. Like coding agents in 2024, we’re seeing signs of life for AI worms. We don’t yet have a full rogue replicator, but agents are becoming increasingly capable of completing the individual steps in the replication chain (and passing on their adaptations to future copies of themselves). At the same time, increasing amounts of inference compute are now available both inside and outside of datacenters (see Appendix D). It’s uncertain exactly what form autonomous AI replication will take. It could be a slow, distributed “digital slime mold,” living on relatively insecure compute. It could also be a powerful cyber model that breaches datacenters at a high pace, or a model that scams people for compute credits. As a prediction that goes beyond our experiments, we expect a future awash with agents running on all types of hardware, including some that aren’t under human control. While it’s true that IoT devices have been vulnerable for a long time, lightweight agents may be much more willing than human attackers to put in the effort to compromise large fractions of the world’s IoT compute. The rise of slow replicators would also be a bellwether for more aggressive, faster ones that can breach more hardened machines or be effective API key thieves. We should aim to harden our systems to make it difficult for such replicators to spread, but also prepare to deal with a world where they are here to stay."

Remember last year when we were all writing code with our fingers? Line by line. Like psychopaths.