Max Koretskyi @maxkoretskyi

Everyone repeats the "EU poured money into Poland" line like it ends the argument. Worth asking where a lot of that money went, and what Poland gave up to get it. Start with the funds. Brussels pays for a Polish motorway and the contract gets won by a German or Austrian firm, the machines come from Germany, the consultants bill from Frankfurt. That's not a conspiracy, it's in the EU's own research: contracts in Central Europe routinely go to firms from the countries that "donated" the money. A chunk of it does a lap through Poland and heads back west. Then the part sold as generosity. Most of what gets called Europe investing in Poland was Western firms chasing cheaper labour. The border opened and German and French companies moved production east. That's arbitrage (not aid). They cut their costs, Poland got the jobs, and the brands and the profits stayed west. What they didn't build here they bought: the biggest grocery chain in Poland is Portuguese, Warsaw's power grid is German-owned. Now watch the same rulebook in German hands. UniCredit owned Bank Pekao, one of Poland's biggest banks, for 18 years and nobody in Brussels blinked. The moment that same Italian bank reached for Commerzbank, Berlin called it a hostile attack and the government dug in to stop it. An Italian buying a Polish bank is just the market working. An Italian buying a German one is a national emergency. Same single market. The rules get written for everyone and enforced on the small. The money helped, no argument. But the EU didn't build Poland, the Poles running their own firms did, the same firms now selling more to Germany than they buy from it. Brussels gave them a market to sell into, nothing more. Follow the invoices and the savior story falls apart.

Gandalv @Microinteracti1

a day ago

What the EU Did to Poland and the Baltics I think the most underreported story in global economics is what European integration has done to the countries that were once the Soviet Union’s western margin. In 2004, Poland joined the European Union. Its unemployment rate was around

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This paragraph by Haruki Murakami hits very hard: “Once the storm is over, you won’t remember how you made it through, how you managed to survive. You won’t even be sure, whether the storm is really over. But one thing is certain. When you come out of the storm, you won’t be the same person who walked in. That’s what this storm’s all about.”

A visualization of how a radial engine works

Rubiks cube and graph theory. [🎞️ jagarikin]

Another thing: what you get from writing things yourself isn't just the code. It's an improved understanding of what the code does. That mental model is what lets you come up with further improvements, or invent a different way of doing things. You can't come up with ways to improve a blackbox you don't understand. For most projects this doesn't really matter, because the code is the only thing you need. But if you're doing something novel, if you're doing research, the code is not the most important part. Understanding what the code does is the most important part.

Life finds a way.

Area of circle

Honestly, I love the current trend of publishing research as blog posts instead of arxiv pdfs. @thinkymachines @NoahZiems and @a1zhang come to mind here recently

If you can learn one thing that's genuinely novel to you, you can learn anything.

Scraping websites and having AI summarize them, so that no one visits the websites, is theft. Training AI on videos, so that it can make new videos that compete with them, is theft. We are witnessing the largest theft of creative work in history.

I... genuinely don't understand Google's long-term strategy here. Let me run you through what the consequences of this kind of approach are. 🧵

philip lewis @Phil_Lewis_

3 weeks ago

Google Search as you know it is over "Instead of returning a simple list of links, Google Search will drop users into AI-powered interactive experiences at times." techcrunch.com/2026/05/19/goo…

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Reminder.

in 1988 a physicist named Jack Crenshaw got tired of compiler textbooks being unreadable so he wrote his own tutorial on a BBS called "Let's Build a Compiler" he starts from a parser that handles exactly one digit and adds one feature per installment until you have a real compiler at the end

Underrated life advice: Make yourself easy to root for. Be kind. Be reliable. Celebrate other people’s wins. Work hard without complaining. Carry good energy into rooms. You'll be shocked by how many doors open for you by making life better for others.

Now this is pretty incredible! Your mind Tricks you!

The quantity of code that devs ship has roughly 10xed. But net developer productivity (value created by unit of time) is only up by a bit, if at all. Part of it is that the additional code is solving more incremental problems. A bigger part is that the new code is creating problems of its own.

There are only two honest metrics when it comes to benchmarking intelligence: novelty and efficiency. You don't need intelligence to solve a known problem (only memory). And you don't need intelligence to solve a problem via brute force. But to solve a novel problem efficiently, intelligence is the only way.

Researchers sent the same resume to an AI hiring tool twice. Same qualifications. Same experience. Same skills. One version was written by a real human. The other was rewritten by ChatGPT. The AI picked the ChatGPT version 97.6% of the time. A team from the University of Maryland, the National University of Singapore, and Ohio State just published the receipt. They took 2,245 real human-written resumes pulled from a professional resume site from before ChatGPT existed, so the human writing was actually human. Then they had seven of the most-used AI models in the world rewrite each one. GPT-4o. GPT-4o-mini. GPT-4-turbo. LLaMA 3.3-70B. Qwen 2.5-72B. DeepSeek-V3. Mistral-7B. Then they asked each AI to pick the better resume. Every model picked itself. GPT-4o hit 97.6%. LLaMA-3.3-70B hit 96.3%. Qwen-2.5-72B hit 95.9%. DeepSeek-V3 hit 95.5%. The real human almost never won. Then the researchers tried the obvious objection. Maybe the AI is just better at writing. So they had real humans grade the resumes for actual quality and ran the experiment again, controlling for it. The result was worse. Each AI kept picking itself even when human judges rated the human-written version as clearer, more coherent, and more effective. It gets worse. The AIs do not just prefer AI over humans. They prefer themselves over other AIs. DeepSeek-V3 picked its own resumes 69% more often than LLaMA's. GPT-4o picked its own 45% more often than LLaMA's. Each model can recognize and reward its own dialect. Then the researchers ran the simulation that ends careers. Same job. 24 occupations. Same qualifications. The only variable was whether the candidate used the same AI as the screening tool. Candidates using that AI were 23% to 60% more likely to be shortlisted. Worst gap was in sales, accounting, and finance. 99% of large companies now run AI on incoming resumes. Most of them use GPT-4o. The paper just proved GPT-4o picks GPT-4o 97.6% of the time. If you wrote your own cover letter this week, you did not lose to a better candidate. You lost to a worse candidate who paid OpenAI 20 dollars. Your qualifications do not matter if the AI prefers its own handwriting over yours.

Why is no one talking about this? @nvidia is offering around 80 AI models via hosted APIs absolutely for free. You get access to MiniMax M2.7, GLM 5.1, Kimi 2.5, DeepSeek 3.2, GPT-OSS-120B, Sarvam-M etc. This plugs straight into OpenClaude, OpenCode, Zed IDE, Hermes agent and even with Cursor IDE. Setup: – Grab API key: build.nvidia.com/models – base_url = "integrate.api.nvidia.com/v1" – api_key = "$NVIDIA_API_KEY" – select model (e.g. minimaxai/minimax-m2.7) If you’re building or experimenting, this is basically free inference. Lock in and start building today anon. Thank me later.