Parminder Singh

Today, India takes a defining step in its civil nuclear journey, advancing the second stage of its nuclear programme. The indigenously designed and built Prototype Fast Breeder Reactor at Kalpakkam has attained criticality. This advanced reactor, capable of producing more fuel than it consumes, reflects the depth of our scientific capability and the strength of our engineering enterprise. It is a decisive step towards harnessing our vast thorium reserves in the third stage of the programme. A proud moment for India. Congratulations to our scientists and engineers.

another example of immorality being a norm in Silicon Valley in the last few years. The imitator, clone, Central was accepted into YC.

I never use plan mode. The main reason this was added to codex is for claude-pilled people who struggle with changing their habits. just talk with your agent.

Create apps shaped exactly around your specific needs and context. That's what Essential Apps are. You describe what you need. AI builds it. It appears on your phone's home screen, ready to use. One billion apps for one billion people. Beta starts today on Nothing Playground.

YC founders are hitting a brutal trap with AI coding tools. Ship v1 in a weekend? Easy. Maintain it six months later? Nightmare. The code works. You just have no idea why. Here's what's actually happening: AI makes execution 10x faster But it skips the part where you build understanding You end up with a codebase you didn't architect Just features you prompted into existence The pattern everyone's seeing: Month 1: "We're moving so fast" Month 3: "Why is this breaking?" Month 6: "We need to rewrite everything" Because speed without theory is just technical debt with better PR The winners are doing something different. They use AI to execute their architecture Not generate their thinking Build the mental model first The theory of how your system actually works Then let Claude write the implementation Think of it like this: Bad approach → Prompt: "Build me a user auth system" Result: Code that works until it doesn't Good approach → You: Design the auth flow, state management, error handling AI: Write the boilerplate that matches your spec This is Naur's "Programming as Theory Building" playing out in real time. The theory lives in your head The code is just the artifact AI can generate artifacts all day It can't build your understanding of the system The gap is getting obvious now. Founders who learned to think in systems vs Founders who learned to prompt better One group is scaling The other is rewriting Your turn 👇 Are you using AI to execute your vision? Or hoping it can generate one for you?