Now
What is currently alive in work, attention, and unfinished thought.
July 2026, Singapore.
The questions lingering in May have started to condense into tangible artifacts.
Back then, a growing amount of time was being spent thinking about intelligence.
Not only artificial intelligence, but intelligence itself:
How it scales.
How it concentrates.
How it reshapes markets, identity, creativity, and meaning.
That conviction has only deepened: AI is not merely a technological shift, but a civilizational one.
Over the past two months, the strange feeling of experimenting with synthetic voice systems has become something more concrete.
A French song fully performed by a trained model of my own voice is now out on Spotify.
Hearing it no longer feels only like simulation.
It has become an extension of creative intent:
blurrier than before, but also sharper.
The philosophical detachedness I was trying to cultivate earlier has also found clearer coordinates.
I spent the early summer formalizing thoughts on how cheap intelligence reshapes collective identity, cultural hierarchy, and subjectivity.
That line of thought became a newly published essay:
From Cultural Asymmetry to Subjectivity: Civilizational Coordinates in the Age of AI
Increasingly convinced that when creation becomes completely automated, the ultimate premium shifts toward defining what is worth creating, and maintaining the subjective core that refuses to be summarized.
Still obsessed with coordination systems.
Markets.
Crypto.
Institutions.
Human behavior.
Collective intelligence.
That obsession has also moved into a more operational question:
what kind of infrastructure is required for crypto-native trading firms to operate credibly across traditional global markets?
The newest artifact from that line of thought is the first chapter of a new series:
Building an Institutional Global Markets Setup from a Crypto-Native Starting Point
The core idea is simple but important: entering traditional markets is not just an API integration project. It is an institutionalisation project across legal structure, market access, data, execution, clearing, and financing.
Trying to understand what happens when:
- information becomes abundant
- intelligence becomes cheap
- creation becomes automated
- and meaning becomes scarce
Current stack and workflow:
Still navigating between markets, coordination systems, and code pipelines.
The cognitive layer is becoming more integrated. AI is no longer just a tool I look at, but a lens I look through:
to optimize market monitors,
refine trading strategies,
shape writing,
and co-author systems.
Mostly living inside:
- Claude
- Codex
- Gemini
- custom automation bots
- unfinished tracks
- a deliberately curated, slower information loop
Still making music.
Still collecting fragments.
Still searching for signal inside noise.
Still trying to understand what remains uniquely human in an age of synthetic intelligence.
