Inside the Black Box — Post 1 of 6 Series: Inside the Black Box — A developer's honest...
Anthropic shows LLMs encode knowledge through implicit weight patterns, not facts—making reasoning completely unauditable. Production teams lose stack traces, face invisible failures, can't fix errors surgically—requiring fundamentally new AI safety approaches.
Inside the Black Box — Post 1 of 6
Series: Inside the Black Box — A developer's honest guide to how AI actually works,
what's broken, and where it's all going.
I build with AI every single day. I use it to write code, debug errors, review architecture, and sometimes just rubber-duck problems at 2am. And here's the thing nobody says out loud:
The people who built it don't fully know why it works.
Modern software development has achieved incredible things. AI can generate entire...
A year ago, I set out to test whether all of the hype around vibe coding was real. I decided to stress test AI with a complex…
Series Final. The four mechanisms covered across this series — knowledge graph, Auto Review, Self-Healing, Recurrence Prevention…
Why I'm Building AI in Public (And Why This Time Is Different) For the last few months,...
Look, I'm going to be honest with you. Six months ago, I was that bootcamp grad copy-pasting Stack...
Picture Dave. Not a bad developer. Six years in, reasonably curious, catches most of the things that...
