Arie Jones

Jensen Huang: "If that $500,000 engineer did not consume at least $250,000 worth of tokens, I am going to be deeply alarmed. This is no different than a chip designer who says 'I'm just going to use paper and pencil. I don't think I'm going to need any CAD tools.'"

My cousin Dietrich is one of the best paid engineers in Germany He makes €41,000 a year before tax Last week he got an offer from a big tech company in the US that would net him $350,000 "Are you going to take it?" I asked him "It's a good offer, but I would actually earn less than now" He is right. In Europe, he makes €41,000 and gets: - Free healthcare - Strong privacy protections - Diversity - Pension benefits If you count this in, it's much more than $350,000 European salaries are the highest in the world if you adjust for quality of life

im fully convinced that LLMs are not an actual net productivity boost (today) they remove the barrier to get started, but they create increasingly complex software which does not appear to be maintainable so far, in my situations, they appear to slow down long term velocity

im fully convinced that LLMs are not an actual net productivity boost (today) they remove the barrier to get started, but they create increasingly complex software which does not appear to be maintainable so far, in my situations, they appear to slow down long term velocity

I've been having such an amazing time with Claude Code I wanted you to be able to have my *exact* skill setup: Introducing gstack, which you can install just by pasting a short piece of text into your Claude code

My CTO friend texted me: "Your gstack is crazy. This is like god mode. Your eng review discovered a subtle cross site scripting attack that I don't even think my team is aware of. I will make a bet that over 90% of new repos from today forward will use gstack."

years ago I joked that software engineers would be the first ones lined up and shot after AGI, for the indignities they have visited on capital and management all these many years status and compensation for the median engineer has long been propped up by a) the top 1% of engineers and b) the great difficulty of measuring effectiveness the top-down adoption of AI coding tools by large organizations is in this vein, to reign in excessive deference to and compensation for engineers but naively speaking, I expect this top-down approach to debilitate the companies that implement it—the AI coding tools are too strange, with weird failure modes, and a bottom-up hands-on approach will find their best applications more readily than top-down, and a top-down approach will destroy the thing it seeks to build and maintain, and replace it with a doppelgänger of sorts doesn’t bode well for large organizations, imo—we might see Amazon give way to rivals the way Sears gave way for Amazon, despite having all the prerequisites to become Amazon

Exactly one year ago (10 mar 2025), Dario Amodei: "I think we will be there in 3-6 months, where AI is writing 90% of the code. And then, in 12 months, we may be in a world where AI is writing essentially all of the code." This turned out to be... too darn accurate.

BREAKING: Amazon reportedly holds mandatory meeting after “vibe coded” changes trigger major outages.

It is time for physicists to shine. We write messy, duct-tapey code glued together that kind of works. We are not natural engineers but more driven by curiosity. Coding agents are god send for people like us. We don’t have to worry about the stupid shit any more. Physicists are good at understanding complex systems and essentially that is what software engineering will evolve to. In the next 10 years, software purists will slowly lose their minds as the messy clunky coders who prefer velocity will start shipping production grade code better than what the purists can deliver today. I have to admit; it is oddly satisfying to see purists losing it. And I am not just talking about software.

What if a codebase was actually stored in Postgres and agents directly modified files by reading/writing to the DB? Code velocity has increased 3-5x. This will undoubtedly continue. PR review has already become a bottleneck for high output teams. Codebase checked-out on filesystem seems like a terrible primitive when you have 10-100-1000 agents writing code. Code is now high velocity data and should be modeled at such. Bare minimum, we need write-level atomicity and better coordination across agents, better synchronization primitives for subscribing to codebase state changes and real-time time file-level code lint/fmt/review. The current ~20 year old paradigm of git checkout/branch/push/pr/review/rebase ended Jan 2026. We need an entirely new foundational system for writing code if we’re really going to keep pace with scale laws.

Massie: Iran is not Venezuela. The Ayatollah was not a president. He was a religious leader… The United States and Israel turned him into a martyr. And in the process of doing so, we've already expended billions of dollars and… solemnly, six American families must now lay to rest their sons and daughters. And for what?

My take: Wise investors should pull out of data centres now. It's impossible to reach AGI & exponential AI growth through increasing the scale of compute. LLMs have already hit their developmental plateau. There will never be a return on that +$500 billion investment.