The people cutting their staff because of AI are showing how intelligent their organization really is.
It used to cost millions to design a PCB — now I can do it with an OJT or freelancer for tens of thousands (back in 2016).
What used to take a hundred developers can now be done by a third or even a fifth of that.
The smart move isn’t to start firing people.
The smart move is to finally fix all the problems that couldn’t be solved before — because now the tools make it possible.
When leaders choose to cut instead of build, they kill morale. They tell everyone they’re disposable instead of saying, “Now we can finally fulfill the promises we made.”
At our group, we’re doing the opposite. We’re open-sourcing our projects.
We’re working with schools and self-hosting AMD-based AI — running our own AI systems and creating RAG and LoRA services that connect experts to self-hosted AI platforms.
Think of it like a Spotify or YouTube for AI content — but transparent and accountable.
Experts, engineers, accountants, teachers, and creators can upload their knowledge, tutorials, and troubleshooting guides.
The system ranks content based on quality — high ratings, low disputes, useful results, and popularity (like the content creator being cited or called more). The more valuable the content, the more it earns.
Here’s how it works:
If 10 million tokens of AI use equal ₱1,000 — our team only takes 30% (₱300) to cover the expensive cost of running the servers.
The remaining ₱700 goes to the content creators, distributed by performance — roughly ₱70 per top content contributor per million tokens. So if Creator A is ₱400, B is ₱50, or C is ₱250 worth of usage.
It’s a transparent algorithm, not a black box.
You can audit how it promotes leading content — whether it’s from a specialty accountant, engineer, lawyer, PT, nutritionist, or even self-help coach.
The weights used by the algorithm are visible — what we call Auto Weights — so everyone knows how the system decides.
We know some organizations will discard humans — that’s reality.
But in doing so, they’ll create competitors: people who know the business and can now compete using their own AI, powered by their own knowledge.
Our role is to give them the means to survive and thrive — to make their knowledge and skills valuable again in a transparent, sustainable ecosystem.
If I were to use my family’s resources to protect future generations from being replaced by AI owned by fascist oligarchs, this would be it.
Make every human who fights for democracy and fairness augmented by AI — and supported by others who are equally augmented.
Build a culture that distrusts anything it cannot verify. Agility here is the ability to quickly adapt to changes in credibility of your information ecosystem — we should have inherent Zero-Trust mechanisms and tech, but also build a high-trust culture. The paradox is this: we give each other the ability to verify and decouple from each other if we believe that the credibility has fallen below a certain threshold. It is not about trust we can take for granted — where AI can fake everything — the key assumption is that we will always be tricked, deceived, misled — and we need to be able to pivot and adapt.
We demand transparency and the ability to quickly find a substitute competing with their own credibility against any one party. We cannot be complacent with one authority, as history shows how easily movements are subverted. It is not a weakness to trust and be betrayed — it is strength to recover and change course.
Our technology has to be distributed and federated. Your body of knowledge — your content and expertise online — should be sellable by multiple parties, not controlled by one. Every party can be held accountable.
Everyone enhanced by AI will reach new heights — heights the smartest AI cannot reach — and the most credible and trusted can go even further with the support of others. Decentralizing, distributing, and allowing self-sufficiency is key.
Because in this AI world, agility and transparency are the only things that will keep us human.
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