siddharth

Rohit Krishnan on how AI coding tools are eliminating entry-level programming tasks - and what this means for the pipeline of future senior engineers.

“The most important career question in tech right now. If juniors can't learn by doing junior work because AI does it first, where do seniors come from in 10 years?”

Paul Graham's clearest explanation of the mechanics of creating wealth as a startup founder — what wealth actually is, why startups are the best vehicle for creating it, and why that's not the same as getting rich.

“The distinction between wealth and money is something most people never understand. Once you see it, you can't unsee it — it reframes everything about work, business, and incentives.”

Tim Urban's deep dive on artificial intelligence that made the AI alignment problem legible to a general audience. Still one of the best explainers ever written.

“5 million people read this. Worth understanding what made it work — it's a masterclass in making hard ideas accessible without dumbing them down.”

Stewart Brand uses the 1968 Golden Globe solo sailboat race to explore the civilizational importance of maintenance. Three legendary competitors' fates were determined by their maintenance philosophies.

“Stewart Brand turned a sailing race into the best essay on maintenance ever written. The parallel between boat maintenance at sea and infrastructure maintenance on land is perfect. Later became a Stripe Press book.”

Joel Spolsky's 2002 observation that all non-trivial abstractions are leaky — and the implications for software development, teaching, and tool selection.

“Explains so many bugs and debugging sessions. Once you have this mental model, you stop being confused about why the 'simple' framework is failing in strange ways.”

Alex Chalmers on the story of European industrial policy that actually succeeded - how a consortium of countries built a real competitor to Boeing against all odds.

“Everyone cites Airbus as 'proof industrial policy works' but nobody explains the actual mechanism. Alex does. Spoiler: it wasn't subsidies that made the difference, it was organizational design.”

Eliezer Yudkowsky's comprehensive list of reasons why AGI alignment is difficult - each point a separate failure mode that could end badly.

“Agree or disagree, this is the most thorough articulation of the doom case. If you're going to have an opinion on AI risk, you should engage with these arguments directly.”

Marc Brooker (AWS) on why experienced engineers sometimes choose solutions that look wrong on paper - constraints, legacy, politics, and the difference between local and global optima.

“The best defense against 'just rewrite it' thinking I've read. Every junior engineer should read this before their first architecture review.”

Sam Bowman's deep investigation into why the UK can't build housing, infrastructure, or energy - tracing the problem to specific planning laws and NIMBYism.

“Applies far beyond Britain. The mechanisms that block building are remarkably similar across democracies. Clear-eyed analysis of a problem most people just complain about.”

Adam Mastroianni on how peer review went from a good idea to a broken institution - with data showing it doesn't actually catch errors or improve papers.

“Peer review is treated as sacred, but Adam shows the evidence is damning. The comparison to pre-peer-review science quality is eye-opening.”

Paul Graham's short essay on the incompatibility between how makers (programmers, writers) and managers need to structure their time — and why meetings are so destructive for creative work.

“This is the single essay I send to every founder who complains they can't get anything done. 15 years old and more relevant than ever.”

Rands on the three modes that every 1:1 meeting can take — and why learning to recognize which one is happening (and respond appropriately) is most of what separates good managers from bad ones.

“Changed how I run 1:1s. The key insight is that your job in a 1:1 isn't to give updates or solve problems — it's to figure out what mode you're in. Most managers never figure this out.”

Major players compete to build general-purpose humanoid robots

“Every major tech company is now investing in humanoid robots - this breaks down where the field actually stands”

Deep dive into training and serving infrastructure

“If you are deploying models in production, understanding GPU infrastructure is no longer optional”

Eliezer Yudkowsky on why AGI alignment is extremely difficult

“Agree or not, this is the strongest case for why alignment is harder than most think”

Nature roundup of the biggest physics discoveries

“Annual physics roundup from Nature - broad view of where science is heading”

Nature's editorial on the growing gap between AI performance on scientific benchmarks and actual scientific understanding — a careful examination of what we're actually measuring.

“Precise and careful — exactly what you want from Nature's editorial desk. The distinction between benchmark performance and genuine capability keeps getting blurred.”