The wire
521 headlines collected and scored. Last update 2d ago.
The 2027 budget will rise 12.8% to 820.9 trillion won, and will include a 21.3 trillion won investment into semiconductors, physical AI and AI data centers.
Article URL: https://spoon-tamago.com/japan-jimi-mundane-halloween-costumes-2026/ Comments URL: https://news.ycombinator.com/item?id=50333131 Points: 231 # Comments: 34
Invictus here. During Friday’s sell-off, I wanted to review the major economic factors to see whether the market is foreshadowing a slowdown or worse. The TL:DR: The United States is still growing, but at a slower pace. Compared with the 1990s, growth has become increasingly dependent on a narrower range of economic activity,… Read More The post An Overly AI-Dependant Economy? appeared first on…
My comment to neilirwin about 20 CEA staff being replaceable by AI generated discussion. My followup essay on the issue & what it means for the future of work, training and the pipeline. We shouldn't avert our gaze from the tough issues we face. https://econvitals.org/posts/2026-11-01-ai-first-job/
AI has changed the Internet, and WOLF STREET needs you more than ever. Thank you!!
Aon CEO Greg Case said concentration risk at AI data centers could constrain insurance capacity and alter financing for new projects.
1. AI should play a large role before we see anything from anyone so it comes out right in the first place. 2. AI should play a big role in retrospective replications. 3. Piketty-Saez-Zucman work has many flaws that all go one direction. Spreading slop hurts all three causes.
An interview with Palantir CTO Shyam Sankar about AI diffusion and safety, forward-deployed engineer, and what the battle in tech is actually about.
AI can do things humans researchers can’t, even in groups.
If you believe that mindless AI evaluations are legitimate then why would you spread the evaluation of Saez & @gabrielzucman.bsky.social without first subjecting it to its own mindless AI evaluation? I just did and it turns out the critic's errors all go in one direction.
World Bank President Ajay Banga came on CNBC's "Squawk Box" on Oct. 27, 2026.
The humanities; Data center crowd-out; Chinese local governments; AI and capitalism; How Japan builds; Phones bad; Chinese manufacturing; Rent control
I've seen speculation AI anxieties are behind negative sentiment. Zero evidence for that: 1. Negativity pre-dates AI. 2. People much more negative about prices than jobs. 3. Negativity same across education/age/income groups 4. Negativity much worse in US but AI is everywhere.
I asked Claude how much it would have taken to develop Econvitals pre-coding agents. It's answer: a team of about 50 people working for three years with a budget of $20 million. Is this correct or too high? I'm not sure. https://econvitals.org/about/before-ai/
Indian workers are being paid to film themselves at work and the footage is used to train AI.
The history of technological progress suggests that as AI spreads, the employment impact will hit women more than men.
Ramez Naam gives a skeptic’s take on agent swarms.
THE SHRUGFLATION TRIANGLE I wrote about what happens when the two biggest borrowers in the economy seemingly stop caring what money costs: (1) oil, AI, and Treasuries feeding into each other (2) who ends up paying for it (people) and (3) why nobody seems to be able to stop it
Yesterday, I wrote a bit about the hopes for productivity gains from AI.
AI dominates the translation business, but for high-stakes work, humans are still needed.
Sometimes, you come across a brief note that basically says all there is to say about a topic.
Cloud seeding is gaining attention as countries look to boost rainfall - will drones help?
AI risk; Reindustrialization; The rent crisis; AI and jobs; Mass deportation; Chinese investment; Cyber risk
Will farmers want AI tools to help judge when to pick fruit, or is their own intuition enough?
Imagine joining a startup as employee number 10. Your salary is a bit below what the market pays for your role, but, in exchange, you get equity. How much? 0.25% of the company to be exact. You do the math in your head—if the company sells for $100M in a few years, you'll make $250,000. Not bad, right? Wrong, and for quite a few reasons. Once you take into account how startup equity typically…