Deep dives on making AI work in the real world: AI project management, POC-to-production, scaling, team & org reorganization for the AI era, and the human, ethical, and governance stakes underneath it all.
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The model is the engine. The system around it is the car, and that is what decides whether you win the race or crash faster. Why the durable value lives in the parts you build, not the model you rent.
When your AI is wrong, "the computer did it" won't save you. Name the accountable person before you need them, not after.
Hello everyone,
$4 billion chased world models in a year, yet the field's own tests show the prettiest ones understand the world the least. What's real, what's hype, and where your team can pilot one now.
Story points assume the work is knowable. AI estimation is a bet on data you haven't met yet.
Your model is rarely the problem. Five other things break first, in a predictable order.
Artificial intelligence holds enormous potential to help solve environmental problems… But there is a growing recognition that the technology also has an environmental footprint!
Decentralized AI is an innovative approach that combines AI and blockchain technologies to distribute resources
Deep dive into DeepSeek models to understand how they are different from previous traditional LLMs models…
Is AI shaping our choices or saving us from ourselves? The future of AI isn’t just about its power, it’s about how we choose to use it!
This is a rapidly evolving subjects, with challenges as AI models and systems can be used for defence, or to attacks, and also AI systems can be themselves be threats or hacked etc.
Can a framework designed for science fiction address the complexities of real-world AI? Are these laws sufficient to guide the future of responsible AI?
For the final article of the series, let's see the innovation support, the penalities and timeline of the AI act!
Let's now focus on the obligations for non-high-risk AI systems and general purpose AI systems.
Let's continue our deep dive into the EU AI Act with a focus on the high-risk AI systems!
First article of the series on the EU AI Act
Blockchain has a lot of qualities where AI has defaults… so let’s see how can blockchain make AI better?
What is AI red teaming? This term coming from war and then cybersecurity is now applied to AI.
Do we need explainability? Explainable AI vs "black box" AI like LLMs and ML.
What are AI hallucinations? Why does it happen? How to mitigate it? And more...
