We Need to Stop Pretending We Know What's Coming
A model too powerful to release publicly, job predictions that aged out overnight, and a quiet case for why watching a film might be the most productive thing you do today.
A model too powerful to release publicly, job predictions that aged out overnight, and a quiet case for why watching a film might be the most productive thing you do today.
Most people are chasing machine learning and prompt engineering. But the skill that is quietly becoming one of the most in-demand in the entire AI industry is understanding how AI models should behave, and knowing how to build the frameworks that govern them. Here is everything I learned going deep on this topic.
I launched this site to share my research and recommendations on the specific jobs, markets, and categories that I believe are positioned for significant growth.
I thought giving people chances was a strength. I hired friends, I brought in co-founders I believed in, I gave opportunities to people who seemed passionate and eager. Every single time, I told myself it would work out. Most of the time, it didn't. This is the story of what went wrong, why it went wrong, and the hard mental shifts that changed how I think about building a team forever.
I've been building with Google Antigravity for months. I paid for Pro. I convinced myself it would get better. It didn't. Here's what actually happened, and why I'm done pretending.
In a world where artificial intelligence is rapidly consuming every professional lane we thought was safe, I've been asking myself a question that keeps me up at night — not out of fear, but out of genuine curiosity. What do humans actually do when machines do everything better?
We are making Aldform available to the public. You can now sign up, get an API key, and start collecting submissions in under five minutes.
Aldform is a form-building and submission-management platform still in alpha. Here's a deep dive into the technical stack, the critical path of form submission, and how we handle scale, billing, and feature rollouts.
Every platform wants AI. Every AI needs data. And when the open web runs dry, the data they turn to is yours. This is not a future problem. It is happening right now, across every layer of the stack, from the password hashing your server skips to the metadata your encrypted message leaves behind. This is the full picture, where we came from, what the courts have decided, what the science says, and what you can actually do about it.
I spent 90 days fighting Google Cloud’s opaque billing errors in India, trying every card and "fix" in the book. I finally gave up, moved to AWS, and was onboarded with two startups and full Activate credits in under an hour. Here is why GCP is losing the battle for Indian startups.