until llms, computers had to be instructed with perfect 100% clarity using the unambiguous grammar of a programming language because (obviously) the ambiguous grammars of human languages become the problem. as you may imagine, this is pretty hard because perfect clarity is pretty hard to establish. (tangentially, especially so in a business context, 100X especially so in a large enterprise).
ai doesn't change this, and this is the trap waiting for the unsuspecting new vibe coder who thinks they can now code using agents.
code was never the hard problem. code merely enables defining exactly what you want with 100% clarity.
getting to perfect clarity is the problem.
This git repo getting 82k stars might be the reason what is wrong with modern developers (who will be replaced with AI), if you look at the claude.md here, it's what a core/basics to software development should be. Senior engineers that i know of already had this from day one
A SINGLE CLAUDE.md FILE JUST HIT #1 ON GITHUB TRENDING.
82,100 stars. 7.8k forks. zero dependencies.
Bookmark this before you forget. And your Claude will start working differently.
4 principles. one file. Karpathy's LLM coding habits. distilled.
> think before coding.
> simplicity first.
> surgical edits only.
> goal-driven targets before starting.
swap it into your CLAUDE.md today.
your Claude Code becomes a different tool.
Read it today. Link below.
Claude → Skills → CLAUDE.md → Better Code → Better Systems → Money
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almost every travel insurance product from India & probably around the world failed during this on going war
& then the industry keeps asking why people don’t buy insurance
Satya Nadella just said what the entire industry is too invested to admit.
Every CEO signing $100 billion data center contracts right now is making a bet that history may not honor.
Nadella: “We are one sort of innovation away from the entire regime changing.”
Right now, every major player is running the same play.
More data. More GPUs. Bigger clusters. Same architecture.
They’ve convinced themselves scale is destiny.
They’ve convinced themselves the biggest balance sheet wins.
They’ve convinced themselves this is a resource war.
It’s not.
Nadella: “If you look at where we’ve gone, it was all about pre-training scale, then it was about post-training, then we came up with reasoning, then we said, ‘oh, there’s RL.’”
The architecture isn’t stable.
It never was.
It’s been mutating the entire time.
Each shift rewriting the rules.
Each breakthrough making the previous moat irrelevant.
And the companies that didn’t see it coming didn’t get a warning.
They just woke up behind.
Nadella: “A new model architecture that could even be more efficient in its performance.”
When that lands, the $100 billion clusters don’t matter.
The hoarded GPUs don’t matter.
The multi-decade infrastructure advantage doesn’t matter.
Every castle built for the current paradigm becomes a monument to the wrong bet.
This is what makes the AI race unlike anything in history.
In nuclear competition, more warheads meant more power. The advantage was permanent. Cumulative. Compounding.
In this race, one person with the right insight at 2am in an apartment somewhere erases a trillion dollars of infrastructure before the market opens.
No warning. No negotiation. No second place.
The most dangerous competitor in this race doesn’t have a data center.
They just have the equation.
🏥 ❌ Max Hospital PAT ₹1392cr, Fortis ₹1588cr, Medanta ₹956cr, Apollo ₹1446 with EBITDA margins of over 20%. They make zero margins on OPD (100% goes to Dr. as fat salaries). Hospitals have hired highly qualified doctors as "sales agents" to sell their beds basically. Sad state of affairs in large private hospitals. Some (most) Doctors are doing disservice to their noble profession. Opinion built over last 5 years of visiting numerous doctors and hospitals. They convert patient's sufferings to fat profits. Rant over.