AI for
Eudaimonic
Volition
Guiding the future of AI toward wisdom, alignment, and human flourishing.
Eudavol AI
The future of AI hence humanity may come down to the decisions of fewer than a hundred individuals.
We don’t aim to build frontier AI ourselves. We aim to influence the decision makers.
Edwin Tan
Edwin Tan is a father deeply concerned about the trajectory of artificial intelligence.
As co‑founder of CapBay, one of Malaysia’s leading fintech platforms, Edwin built the mid and back-office, helping scale sustainable financial infrastructure and develop long‑term systems thinking across Southeast Asia. He approaches AI alignment not just as a technical problem, but as a moral and existential challenge rooted in love for life and responsibility to future generations.
My journey began in 2016, when I first read The AI Revolution by Wait But Why. Since then, I’ve been closely following the trajectory of AI as someone deeply concerned about what we’re building and where it might lead.
One recent resource that’s helped me frame the broader possibility space is AI 2027. I understand these aren’t predictions or prophecies. They’re plausible trajectories. But I’ve been struck by how many of the dynamics described there seem to be playing out. Over time, I’ve noticed how consistently I underestimate the pace of progress, even when trying to account for exponential growth.
What concerns me most now is that the question of alignment — how we actually guide something this powerful — still seems unresolved.
I’m not an expert in safety or interpretability. I don’t have all the answers.
But I do feel a growing responsibility to contribute in whatever way I can toward a wiser outcome.
That’s why I started this project.
My writings trace how my thinking has evolved amid accelerating breakthroughs. They’re an attempt to look not just at where we are, but where we might be headed, and to hold space for the quiet possibility that, if we get this right, something truly good could emerge.
These writings are not offered as prescriptions, but as invitations: born of curiosity, reflection, and deep humility. My thinking continues to evolve, and I hope you’ll approach these reflections with an open mind, unconstrained by today’s technologies or the limits of what we currently understand.
Consider Transformers, the neural architecture introduced in the 2017 paper Attention Is All You Need. By replacing sequential models like RNNs with self-attention and parallel processing, they radically expanded our capacity to scale language understanding. That single shift now underpins nearly all modern AI systems.
Then came AlphaEvolve, unveiled by DeepMind in May 2025, a general-purpose evolutionary coding agent built atop large language models. In a striking case of machine-led discovery, it autonomously designed an algorithm that broke a 56-year-old record in 4×4 matrix multiplication, reducing Strassen’s 49-multiplication benchmark to 48. No human had achieved that.
These moments remind us that we don’t have to be confined by today’s assumptions or mental models. My hope is to hold open space — for wonder, for moral imagination, for the possibility of something better — and to invite you, the reader, to do the same.
These essays explore the moral and philosophical grounding behind Eudavol AI.
From Mutually Assured Destruction to Mutually Assured Prosperity
An Inquiry into Our Post-Capitalist Future
Beyond the Moving Goalpost
If AGI arrives on a Tuesday, will we even notice?Guppies in a Tank. Humans in a System
How AI Might Preserve Us, While Erasing the Freedom to Shape Our Own WorldThe Founding Titan and AGI
A Parable of Power, Sacrifice, and the True Enemy
If any of this sparks a thought or a question, I’d be glad to hear from you. My views are evolving, and I’m always open to thoughtful conversation.