Learning in Public - A Journey of Growth

There’s a particular honesty demanded when you decide to show your learning process to the world. For me, choosing to “learn in public”—especially about something as intimidating and mystifying as quantum computing or the labyrinth of large language models—is not about building a resume or shouting clever takes into the void. If anything, it’s more of a dare. A dare to myself to take my persistent, research-obsessed inner monologue (sometimes friendly, sometimes as biting as the old dogmas I grew up with) and expose it, flaws, doubts, and all, for others to see, question, and—just maybe—find useful.

Why quantum computing? Why machine learning—and LLMs in particular? These are fields so dense with jargon and unresolved questions that even well-meaning experts sometimes sound like evangelists from my past, wielding sacred texts (arXiv papers this time instead of Bibles). I am drawn here not simply because they are “the future” (whatever that even means), but because they sit at the fault lines between what’s possible, what’s ethical, and what’s true.

So, why embark on this journey? I want my work—my relentless building, my endless experiments, my public mistakes—to line up with what I actually value. Not just what’s profitable or “impactful” by the latest product manager’s KPI, but what feels right to me. That means confronting real questions of power, agency, and harm: How do you responsibly build systems that can nudge markets—or minds? How do you stay grounded in your own values, when the tech world whispers (often loudly) that optimizing the machine is all that matters? The only way I know to avoid self-deception is to stay visible, to publish both my breakthroughs and my broken code, to let my accountability be measured out in public—where I can’t hide from my own metrics, let alone my principles.

If you’re wondering why I document this path so candidly—it’s because I know what happens when you let someone else define the meaning of your journey. I’ve lived it. So this blog, and these explorations in quantum computing and LLMs, are more than technical notes; they are a running log of how I’m trying to align my inside and outside worlds. If that makes me look foolish sometimes, I’ll count that as progress.

If you’re following along, don’t expect all the answers. Expect my process. Expect mistakes. But also, I hope, expect evidence that it’s possible to build a body of work—and a life—that actually adds up to something you believe in. That’s my goal, and you’re welcome on this imperfect journey with me.