You are saying the words that I've been resonating with since coming home from last week's Snowflake Summit.
I have resources, math-a-magical but robust, unpublished works and methods that could work NOW, and can be shown within 20 minutes. Massive reduction in tokenization inverse efficiency gains... frameworks that are generative in solutions, not ontological or self-serving. Omnitonically Ethical.
Their new Semantic AI? Brute force containership of an already complicated year-one python sorting algorithm.
I had someone tell me how they were having issues with RAG with large data sets and how important to his community it would be if he had a way to process it more efficiently and at low cost.
I talked about how I already do so for my own staff and care home... and at significant savings and efficiency... But the person who just gave a talk on unstructured datasets was there and deflected my methods as impossible.
And the guy, who works in the public sector, as I do... Declined to share information. I could have solved his issue.. and for free.
Because data shouldn't have a price tag.
And people keep telling me how it must...
Yet they forget, or were born after a time when we used to pay for every bilateral text message.
My mission?
Philanthropy, Knowledge, Ethical Value and reciprocity...
as software... FOR Service.
Idk. I was likely searching for resonance with the wrong crowd.
And if I have to do it alone first.
Then I will, because I can.
And seeing articles like yours gives me validation that I'm working towards the right thing.
And I don't need a piece of paper or certification course of outdated methods to enable me to keep moving forward.
Thank you for sharing your journey.
I hope one day our work crosses the same fold.
Epistemic status: Personal account. A reflection on navigating entry into the AI safety space without formal credentials or institutional affiliation. Also, a log of how ideas can evolve through rejection, redirection, and informal collaboration.
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A few weeks ago, I wrote a long, messy reflection on my Substack on how I landed in the world of AI. It was not through a PhD or a research lab, but through a silent breakdown. Postpartum depression, career implosion, identity confusion and the whole mid-30s existential unravelling shebang. In that void, I stumbled onto LLMs. And something clicked. Not because I suddenly wanted to build models. But because for the first time in a long time, I felt curious again. Alive. Like my brain was waking up.
This is part two of that story. The part where I start applying to roles and fellowships that resonate with the ideas I’ve been thinking and writing about such as relational alignment, coaching architectures, distributed cognition.
To be clear, I didn’t get any of them.
The list is mildly ridiculous in retrospect. This includes roles at FAR.AI, Anthropic (model behaviour architect), OpenAI (human-AI collaboration lead) and fellowships at MILA (to build value-alignment protocol), COSMOS (to build truth-seeking AI). I also pitched a few engineering schools on running a studio-style 4-6 week course about trust, intimacy, and AI alignment, rooted in real human dilemmas.
Most replied with a version of “no.” Some just didn't reply at all.
Still, something useful happened.
Each application forced me to think, a bit more clearly. What do I really mean by relational alignment? What might a coaching layer look like in a live system? Why does my brain keep returning to architectural metaphors like layers, feedback loops, distributed modules, when I’m talking about human trust?
None of these ideas were “ready,” but each one got sharper in the process. I now have fragments. Patterns. A slow-building confidence that maybe this nonlinear perspective, part behaviour design, part systems thinking and part human mess actually has a place in the conversation.
That’s not to say the doubts have gone away. They’re always my best friends. I worry I’m not doing anything useful. I worry I should be learning to code. I worry that I’m performing insight, not producing it. I worry that I’m building a theoretical framework for a problem no one’s hiring me to solve. And, quietly, I’ve been carrying an existential question ...
Am I making a complete fool of myself while everyone stands by and politely watches?
Because every time I applied for one of those roles, I’d post the resulting essay or idea on Substack, hoping for feedback. My long-standing community was always encouraging, but rarely additive. No one would push back, challenge a premise, or help me think through it. I couldn’t tell if I was making sense or just sounded like a total wacko.
It’s easy to look at someone with a resume like mine, products at Big Tech, a matchmaking venture, relationship coaching, leading ops for a logistics giant, skilling platform for the government, teaching future engineers about trust and happiness, and think, “Oh here she goes again, chasing yet another crazy muse” (like my parents think).
Honestly, without critique, it’s hard to know. So, then I started posting these ideas in AI communities like here or on various discord/ slack channels. Suddenly, people started to challenge me. Thoughtfully. Specifically. Sometimes critically. And it lit something up in me. I loved it.
It made me want to learn more. To write better. To build stronger. These weren’t friends trying to be nice. These were strangers who didn’t know me, had no reason to protect me, only cared about my ideas (or the lack of it) and that makes their feedback golden.
I have no reputation here. Nothing to lose. Which means everything is additive. And I’m grateful for it. I just hope I can learn enough to become worthy of some builder’s attention, so I can collaborate, test these frameworks, and co-create something meaningful. Even if that doesn’t happen soon, I’m still enjoying the hell out of this process.
Could I prototype all this solo? Maybe. But I know I’d rather be in dialogue with people who see something in these ideas that they don’t yet know how to build, and are curious enough to try. So for now, I’m treating this as self-directed research, publishing in public, testing ideas through writing and building relationships one thoughtful challenge at a time.
If any of this sounds familiar, if you’re also stumbling sideways into a field, learning out loud, unsure whether your ideas “count”, you’re not alone. And if you're working on adjacent questions around corrigibility, trust design, or behaviour-shaping architectures, I'd love to talk. Not to pitch. Just to think together.
When I was 16, I made a wildly optimistic life plan that involved running my own engineering firm (inspired by my dad) by the time I turned 39. Today, I’m 38, and instead of overseeing blueprints and buildings, I’m sitting here trying to build a new career from scratch, writing about alignment and system behaviour from my desk at home.
It’s not what I planned. But it feels honest. And today, on my 38th birthday, it feels strangely right to be sharing this here.