How the financial industry is being disrupted by decentralized and peer-to-peer technologies, the s…
"In 2004, I helped route the first Skype calls to a traditional phone network, unknowingly participating in a revolution that would capture 40% of global international calls within a decade. Today, I am watching history repeat itself in the financial sector."
Deep Reals - How Digital Authenticity Delivers Real-World Trust
A new era of trust in the AI age
Messaging platforms should benefit from a “fair use” and “privacy” law
The true, the bad and the ugly about messaging and social platforms
Victory is in the unknown, the unknown is where all outcomes are possible.
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The One Person Social Network
Over the past year, something kept coming up in my conversations — with friends, with couples, with people I would meet even during very social events. No matter the context, many of them would share the same feeling: they felt disconnected. Lonely, even. They could not quite find a natural, genuine way to meet people and form meaningful connections in the world as it exists today. That observation landed hard. Because it echoed something I had been sitting with for years — a question I had never quite been able to let go of:
How do we spark connections between people that feel genuinely human. Connections that bypass the swipe, the scroll, the screen — the whole machinery that passes for social interaction today but doesn’t really reflect how human beings actually connect with each other?
At the same time, it is easy to notice how people are increasingly uneasy about what the big tech platforms, and more specifically existing social networks, do with their data. How it is collected, how it is used, how it is monetized — often without any real transparency, and certainly without giving anything meaningful back to the people generating it.
These two things — the crisis of genuine human connections, and the extractive logic of centralized platforms — are not unrelated. They are two symptoms of the same underlying problem. Existing platforms don’t care about true connections, their goal is to distract us in order to extract as much attention they can and seek more profits.
Every social network is built primarily for advertisers, not individuals, their reward function is not connection but attention.
The conversation around AI safety often focuses on existential risk or regulatory gaps. But there is another dimension that doesn’t get enough attention: the danger of having this much psychological power concentrated in the hands of a few large social networks and AI platforms.
Modern AI models are extraordinarily good at understanding the psychological profile of a person. If the intent behind that capability is even slightly misaligned — if there is a hidden purpose to nudge people toward certain beliefs, certain behaviors, certain ways of seeing the world — then AI platforms and social networks with hundreds of millions or billion of users are carrying an almost incomprehensible responsibility. Right now, most of that responsibility is unaccountable. I understood this pretty early one when I created and launched
Over the past year, something kept coming up in my conversations — with friends, with couples, with people I would meet even during very social events. No matter the context, many of them would share the same feeling: they felt disconnected. Lonely, even. They could not quite find a natural, genuine way to meet people and form meaningful connections in the world as it exists today. That observation landed hard. Because it echoed something I had been sitting with for years — a question I had never quite been able to let go of:
How do we spark connections between people that feel genuinely human. Connections that bypass the swipe, the scroll, the screen — the whole machinery that passes for social interaction today but doesn’t really reflect how human beings actually connect with each other?
At the same time, it is easy to notice how people are increasingly uneasy about what the big tech platforms, and more specifically existing social networks, do with their data. How it is collected, how it is used, how it is monetized — often without any real transparency, and certainly without giving anything meaningful back to the people generating it.
These two things — the crisis of genuine human connections, and the extractive logic of centralized platforms — are not unrelated. They are two symptoms of the same underlying problem. Existing platforms don’t care about true connections, their goal is to distract us in order to extract as much attention they can and seek more profits.
Every social network is built primarily for advertisers, not individuals, their reward function is not connection but attention.
The conversation around AI safety often focuses on existential risk or regulatory gaps. But there is another dimension that doesn’t get enough attention: the danger of having this much psychological power concentrated in the hands of a few large social networks and AI platforms.
Modern AI models are extraordinarily good at understanding the psychological profile of a person. If the intent behind that capability is even slightly misaligned — if there is a hidden purpose to nudge people toward certain beliefs, certain behaviors, certain ways of seeing the world — then AI platforms and social networks with hundreds of millions or billion of users are carrying an almost incomprehensible responsibility. Right now, most of that responsibility is unaccountable. I understood this pretty early one when I created and launched
How the financial industry is being disrupted by decentralized and peer-to-peer technologies, the s…
"In 2004, I helped route the first Skype calls to a traditional phone network, unknowingly participating in a revolution that would capture 40% of global international calls within a decade. Today, I am watching history repeat itself in the financial sector."
Deep Reals - How Digital Authenticity Delivers Real-World Trust
A new era of trust in the AI age
Messaging platforms should benefit from a “fair use” and “privacy” law
The true, the bad and the ugly about messaging and social platforms
Victory is in the unknown, the unknown is where all outcomes are possible.
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Subscribe to Anthenor
>400 subscribers
In 1997, Davidson and Rees-Mogg wrote The Sovereign Individual — predicting that the information age would fundamentally invert the power relationship between institutions and individuals. That technology would give people the ability to operate, transact, and exist outside the centralized structures that had historically controlled them. They were right. We are living in the early chapters of that liberation.
Today we have LLM models that can run directly on your phone. Models that carry an encoding of vast human knowledge — accessible at your fingertips, even offline. And crucially: models that can be yours. Owned by you. Trained with your data, which you also own. A genuine intelligence in your pocket, learning continuously from you, with you and for you.
This isn’t just a privacy argument, though privacy matters. It is something bigger. An on-device AI that belongs to you can help you understand yourself better. It can make sense of your social world, your environment, your daily rhythms, your interactions with people. It can be a real companion — one that accumulates authentic knowledge about your life, held locally, owned entirely by you.
That’s a fundamentally different proposition than anything the large social networks and AI platforms are offering. And I don’t think we have fully reckoned with what it means.
One person, with a smartphone, with their own intelligence, their own data, their own learning loop. Not a node in someone else’s network. Not a data point in someone else’s model. An autonomous person, with a tool that serves them — and only them.
Their connections, their relationships, their serendipitous encounters, their social graph — all of it can be enriched by intelligence that belongs to them, without surrendering anything to a platform in exchange while protecting any data that is exchanged with modern cryptography.
That’s what keeps me up night these days, and I think it is one of the most important problems worth cracking right now. We are at an inflection point.
If this resonates with you, please reach out!
And if you have some time, feel free to advance my research on how people like to connect by doing this test and get a summary of your relational pattern: https://dipity.nodle.com
Post originally posted on my Medium anthenor.medium.com
In 1997, Davidson and Rees-Mogg wrote The Sovereign Individual — predicting that the information age would fundamentally invert the power relationship between institutions and individuals. That technology would give people the ability to operate, transact, and exist outside the centralized structures that had historically controlled them. They were right. We are living in the early chapters of that liberation.
Today we have LLM models that can run directly on your phone. Models that carry an encoding of vast human knowledge — accessible at your fingertips, even offline. And crucially: models that can be yours. Owned by you. Trained with your data, which you also own. A genuine intelligence in your pocket, learning continuously from you, with you and for you.
This isn’t just a privacy argument, though privacy matters. It is something bigger. An on-device AI that belongs to you can help you understand yourself better. It can make sense of your social world, your environment, your daily rhythms, your interactions with people. It can be a real companion — one that accumulates authentic knowledge about your life, held locally, owned entirely by you.
That’s a fundamentally different proposition than anything the large social networks and AI platforms are offering. And I don’t think we have fully reckoned with what it means.
One person, with a smartphone, with their own intelligence, their own data, their own learning loop. Not a node in someone else’s network. Not a data point in someone else’s model. An autonomous person, with a tool that serves them — and only them.
Their connections, their relationships, their serendipitous encounters, their social graph — all of it can be enriched by intelligence that belongs to them, without surrendering anything to a platform in exchange while protecting any data that is exchanged with modern cryptography.
That’s what keeps me up night these days, and I think it is one of the most important problems worth cracking right now. We are at an inflection point.
If this resonates with you, please reach out!
And if you have some time, feel free to advance my research on how people like to connect by doing this test and get a summary of your relational pattern: https://dipity.nodle.com
Post originally posted on my Medium anthenor.medium.com
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