Open Source: The Mother of Innovation

What has in common the Blockchain and the AI revolution? In both cases the Open Source philosophy is boosting innovation as never seen before.

Open source software has had a profound impact on the world of technology, empowering individuals and organizations to collaborate, innovate, and build powerful solutions. By leveraging the principles of open source, developers have been able to harness the potential of these technologies more effectively, resulting in remarkable advancements and transformative applications.

The power of Open Source/Free software for everyone/The Democratization of innovation is based on a few principles: create, share, collaborate, transparency and recognition. Is more a philosophy than a methodology. When some politicians and intellectuals attack the new generations of selfish, that are not involved, without principles, I’m pretty sure they don’t know anything about GitHub. In a few centuries, in the philosophy class, Open Source will be studied as we study the existentialism, the nihilism or the rationalism.

Just in 2020 20.5 million of new developers joined Github that has more than 400 million visitors per month.

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Behind the Blockchain technology (and Bitcoin) the Open Source philosophy is key to understanding where it comes from and how it is possible it has advanced so much in such a short time. When you compare it with the traditional finance philosophy you understand why there is such a colossal cultural shock between these two ways of understanding the financial system. 

And this is something you can truly feel in the sector. During the recent Avalanche Summit in Barcelona, as we interacted with other professionals and projects in the field, the shared goal of helping and collaborating was evident and palpable. In the world of Blockchain, mutual assistance is deeply ingrained.

Open source projects such as Bitcoin and Ethereum have laid the foundation for blockchain’s widespread adoption. By making their source code accessible to the public, these projects have fostered collaboration and encouraged developers worldwide to contribute, refine, and build upon their work.

Something similar is happening with AI. Although it was a private enterprise (Open AI) the one that made the kick off for the last wave of innovation (with a 10.000 M$ investment), open innovation is stepping on in less than 6 months.

Open source libraries such as TensorFlow, PyTorch, and scikit-learn have democratized AI development, making it accessible to a broader audience. These libraries provide pre-built models, algorithms, and tools that enable developers to create sophisticated AI applications without starting from scratch.

Let me put just one example: 

Anyone can create a Chatbot from PDF with less than 10 code lines here:

(Other examples here: or

Or for example this Open Source code assistant:

– Project

– Blog

– Generate code…

-Play with it…

– Assess reasoning…

– Explore dataset

Last week a “leaked” inform from Google said there wasn’t any barrier of entrance in AI (thanks Sergio Salgado for the info):

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“The cost of training Vicuna-13B is around $300”. From 10.000M$ to 300$ in six months. That’s evolution.

There’s no moat for AI. Battle is served. Let’s take the catle!!

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Yours in crypto and AI