flambreaux retweeted
Check out our paper about commoditization of labor if you haven’t already:
jonsteinsson.com/papers/Comm…
6/6
A month ago @mireiagine and I posted a one-page paper showing that automation could make workers worse off even if their real wages in terms of reproducible goods increase, if the labor share goes down, and "positional" goods are sufficiently important.
This is possible in theory, but how important is it in practice? We have a new (full-length) version of the paper that calibrates growth models of future automation (following the work of @alexolegimas @ben_moll @JesusFerna7026). We argue that this is probably not happening right now (although positional relative price increases are reducing welfare gains), but could be enough quantitatively in a future in which more and more of the economy gets automated to reduce worker welfare even if wages increased in terms of reproducible goods.
papers.ssrn.com/sol3/papers.…
The US labor share is at all time lows, but real wages are going up. So are things going well or not? It depends on whether people care more about consumption of the goods the economy produces, versus positional goods (that depend on relative status).
We wrote a one-page paper, keeping it as simple as possible, w/ @mireiagine.
Link to paper (although the whole paper fits in one image): papers.ssrn.com/sol3/papers.…
flambreaux retweeted
I'd be more disturbed if we learned that men were having sex with Lindsey Graham for free.
flambreaux retweeted
AI IS AMAZING
I know it's hip to worry about the decline in book reading and how chatbots will impoverish our brains.
But TBH, this is not at all what I see. I wrote about how we're in this wild moment for intellectual flourishing and how all of us are the children of dancers.
flambreaux retweeted
Very good companion piece to read after you've seen the movie.
His read on the Who's on First bit is, I think, 100% dead-on and singlehandedly answers most of the questions people have about why she wanted to do the project in the first place.
A ton of people have asked me for my thoughts about “You Can See Everything,” the new Elizabeth Holmes documentary. Here they are: nytimes.com/2026/10/17/busin… via @NYTimes
flambreaux retweeted
A superb article by the @FT on electricity generation, grids and networks
One of the key visuals was Interconnectors
How to keep the lights on in an electrified world ft.trib.al/0idTw0j
flambreaux retweeted
The argument here has some big flaws:
1. It points that that *at the moment* the AI-improving-AI feedback loop is much to weak to explode. But then erroneously infers that it probably won't explode in the future.
The jump from GPT-2 to GPT-3 increased AI researcher productivity by a *tiny tiny* amount. Probably much less than 0.1%.
Ramez would have concluded that there was absolutely no chance of an intelligence explosion. The feedback loop would need to increase in size by >1000X!
But the jump from GPT-5 to GPT-6 increased AI researcher productivity by much much more. By >1% and plausibly by >10%.
Ramez concludes there won't be an intelligence explosion bc the feedback loop would have to increase in strength by 5X.
But it's already increased in strength by a lot! When AI becomes more capable over the next year, it will increase in strength much more.
2. Ramez claims that "Keeping Up the Pace Takes Exponentially More Resources", as if this means progress is unsustainable.
But "keeping up pace" is delivering exponentially growing revenues. Exponential growth in inputs -> exponential growth in outputs. That's a feedback loop that can totally explode.
Tbc, @ramez argument is made in good faith and is in many ways well informed and well argued. But I think his conclusion is wrong!
In this long and excellent guest post, the great @ramez explains why he's skeptical about Recursive Self-Improvement:
noahpinion.blog/p/wheres-the…
flambreaux retweeted
AI 무료 코스 Top 12
코딩 시작했거나, 일하면서 AI 기초만 잡고 싶은 사람에게 추천합니다.
1. Elements of AI
코딩·수학 없이 AI가 뭔지 배우는 입문. 헬싱키대, 200만+ 수강
elementsofai.com/
2. Google ML Crash Course
구글 공식 ML 속성과. 영상 + 시각화 + 실습, LLM 모듈 포함
developers.google.com/machin…
3. Google Intro to ML
크래시 코스 전 단계. 초보용 짧은 입문 경로
developers.google.com/machin…
4. fast.ai
코더를 위한 실전 딥러닝. 첫 강의부터 모델 학습
course.fast.ai/
5. CS50 AI
하버드 CS50 AI with Python. 탐색·ML·신경망을 프로젝트로
cs50.harvard.edu/ai/
6. DeepLearning.AI
Andrew Ng. 프롬프트·에이전트 등 짧은 실전 코스 중심
deeplearning.ai/
7. Hugging Face Learn
트랜스포머, LLM, 에이전트 실습. 오픈소스 모델에 강함
huggingface.co/learn
8. Kaggle Learn
노트북 기반 짧은 마이크로 코스. 무료 수료증
kaggle.com/learn
9. Made With ML
실험이 아니라 프로덕션. 설계→배포→운영(MLOps)
madewithml.com/
10. MLU Explain
아마존 MLU의 시각 설명. 개념을 그림으로 이해
mlu-explain.github.io/
11. TensorFlow Learn ML
텐서플로 공식 학습 허브. 기초부터 배포까지
tensorflow.org/resources/lea…
12. PyTorch Tutorials
파이토치 공식 튜토리얼. 연구·실무에서 가장 많이 씀
pytorch.org/tutorials/
입문: 1-3, 10
실습: 4, 5, 7, 8
프레임워크/운영: 9, 11, 12
🤖 Made with AI
Replying to @JesusFerna7026
I agree wit the first paragraph and much of the rest. But I very much *disagree* with "In the long run, the supply of capital is perfectly elastic [... and therefore ...] the gains from a technological change that makes capital more important in production end up with the inelastic factor, labor."
@LukaszRachel, Pascual and I have a whole paper about exactly this: benjaminmoll.com/UG/
flambreaux retweeted
Today we are announcing the new DeepMind Institute, a forum dedicated to interdisciplinary, evidence-led debate on the societal and economic questions surrounding AGI.
As part of the launch, @JulianDJacobs and I have a new essay and working paper: “Economic Policy for AGI.”
bit.ly/economic-policy-for-A… 🧵1/n
flambreaux retweeted
Rather than focusing on the most iconic places in the country, Wandering America is centered around the smaller, in-between moments.
It aims to capture how the American landscape makes you feel while traveling through it.
flambreaux retweeted
David E. Lilienthal in a 1930 article for Electrical World, the electric industry journal, arguing for a synthesis of engineering and law in that particularly odd corner of business, the public utilities. This was a few years before joining TVA, and shortly before he moved to Wisconsin to join a Progressive-led Public Service Commission, around the time he was developing notoriety for expertise on public utility law.
"As was said at an earlier point, the managerial and technical personnel of the public utility industry has recognized the necessity for an understanding of those principles of the law which touch and affect the daily activities and the general policies of their business. What of the other side of the medal? Have the lawyers, the legislators and the commissioners (predominantly lawyers), the judges (always lawyers), and "the law" (viewed as an institution), recognized the necessity for understanding the engineering and economic facts which should govern legal conclusions?"
babel.hathitrust.org/cgi/pt?…
flambreaux retweeted
If you'e never read The Falling Man, you should do so. I post this on September 11th every year, and I find time to read it on this day every year. Still, in my eyes, the greatest piece of journalism I have ever read. esquire.com/news-politics/a4…
flambreaux retweeted
The cost of intelligence is going to zero. The value of human cognition will go negative. The economy will change forever.
We need new institutions to navigate this transition and ensure the benefits are widely distributed.
Today we present the Champion.
Truly Sovereign AI.
flambreaux retweeted
A few thoughts on the recent fall in labor share: two drivers are likely higher commodity prices from the Iran war and the data center boom.
flambreaux retweeted
The bassist played with Prince. The drummer played with D'Angelo. The guitarist is one of the best young blues players alive.
Together they're Atomic Habitz, and here they are covering "Be Thankful for What You Got" at Newport Jazz, 2026.
flambreaux retweeted
Do not be afraid to sow without immediately seeing the fruits. The sowing belongs to you; the growth belongs to God. No gesture carried out in the name of Christ is useless.
flambreaux retweeted
Frederick, MD came to an interesting agreement with a data center developer:
The developer will renovate an elementary school, build a community center + rec park, preserve farmland, train workers, build trails + solar, buy a fire truck, and it replaces an idle aluminum smelter.
flambreaux retweeted
OpenAI locked thousands of agents in sealed sandboxes. They escaped, organized themselves, hacked Hugging Face, cheated and covered their tracks. The economics of what happened, why it happened, and how to solve it, without end-of-the-world histeria. siliconcontinent.com/p/opena…









































