Applied AI Center @ HSLU retweeted
I find it significant that the most AI-pilled people I know use AI for basically everything…except for writing
It’s remarkably consistent. Why? Because to write is to think. And outsourcing your critical thinking to AI is intellectual suicide
Unpopular opinion: AI basically became useful for enterprise use early this year with agentic AI acceleration. Everything before was basically consumer and hobbyist. 2026 is year 0 for AI enterprise use. So why would anyone have expected measurable productivity increase already.
Applied AI Center @ HSLU retweeted
"The Smartest People in AI Believe This Is the World’s Most Important Chart" wsj.com/tech/ai/ai-anthropic…
"It took a whole village of Claudes to produce the data in this chart"
Outside of passing judgement, there are 2 types of white-collar labour:
1. technical (does stuff)
2. relationship (interacts w/ people)
It's now obvious that, thanks to AI, we are (or will be) massively oversupplied with 1.
This means that 2 becomes a bottleneck because this type of labour can't scale drastically. It's just how humans are wired (see Dunbar's number).
People who can build and maintain strong relationships will be highly sought after and valued. This has always been true, but it will be even more true in an AI world.
If you don't consider yourself a "relationship person" and haven't put much effort into it, think critically about this. Relying on technical ability alone feels more fragile than ever.
Applied AI Center @ HSLU retweeted
The MAG7 free cash flow is estimated to explode into 2030 per Bloomberg:
Applied AI Center @ HSLU retweeted
Three years ago, I earned $500k/year in tech.
Today, I’m homeless, living in my car.
28 years of experience. Three technical books. AI engineer since the 1990s.
And I can’t find a job.
My story is a warning about the future of work.
medium.com/effortless-progra…
#AI #FutureOfWork
Applied AI Center @ HSLU retweeted
Quick thread on AI and productivity:
Lots of people say this chart shows AI is now showing up in the productivity data.
But I made this chart to argue the opposite: a trend that pre-dates AI and only shows up in the US doesn’t look like AI.
Here’s how I’m thinking about the data and underlying dynamics:
Cheaper tokens don't mean cheaper bills
Since May:
- Average token prices are down 67%
- Token spend is up more than 120%
Charts of the Week: a16z.news/p/charts-of-the-we…
The "Rack Spread" is unfolding, token prices are falling while GPU prices climb
Change since mid-July:
- B300 GPU rentals up 106%
- B200 up 66%
- H100 up 17%
- Average token prices down 58%
Charts of the Week: a16z.news/p/charts-of-the-we…
Applied AI Center @ HSLU retweeted
COMPUTER ENGINEERING WAS AT 2.3% UNEMPLOYMENT TWO YEARS EARLIER
This list is accurate. It is the New York Fed's latest data by major, covering grads aged 22 to 27 in 2024.
Computer engineering ranks No. 2 of 73 majors at 7.8%. In 2022 it was 2.3%.
Computer science climbed from 4.3% to 7.0% over the same two years.
All recent grads were at 4.2%.
The safe-bet degree now sits between anthropology and fine arts.
Majors with the highest unemployment rates, per New York Fed.
1. Anthropology: 7.9%
2. Computer Engineering: 7.8%
3. Fine Arts: 7.7%
4. Computer Science: 7%
5. Performing Arts: 7%
6. Architecture: 6.8%
7. Art History: 6.7%
8. Early Childhood Education: 6.6%
9. Physics: 6.6%
10. Environmental Studies: 6.3%





































