Prediction: We will start to see “AI layoffs” as token spend becomes a significant line item on a P&L.

Hey Dario, for AI to destroy 50% of all white-collar jobs in the next 1-5 years you’d need orders of magnitude more compute and energy than we’ll have.

Computer science professor at a major state university just finished the worst faculty meeting in 32 years of academia Department head dropped the placement statistics like a bomb at 2:47 PM on a Wednesday 2023: 89% placement rate within 6 months of graduation 2024: 67% placement rate 2025: 34% placement rate 2026 projections: 12% placement rate 312 CS majors graduating this spring. Industry contacts saying maybe 40 will find work. The dean wants to know why enrollment is still climbing while job prospects crater Faculty sitting there like deer in headlights because what the fuck do you tell 19-year-olds taking out $40k per year in loans Half the curriculum is already obsolete. Teaching data structures while companies replace entire engineering teams with Claude and Cursor. One professor suggested pivoting to "AI collaboration skills" and got laughed out of the room Another said we should warn students. Department head said that would "damage program reputation and university revenue" So they keep taking tuition money from kids who will graduate into a wasteland Career services still posts those bullshit salary averages from 2022 when new grads were getting $140k offers Now the same companies are hiring 2 senior engineers with AI tools instead of 12 junior developers Every CS professor knows their students are walking into a meat grinder But the university needs those enrollment numbers to hit budget targets They're literally selling degrees that lead to DoorDash driving

Engineering job openings are at the highest levels we’ve seen in over 3 years There are over 67,000 (!!!) eng openings at tech companies globally right now, with 26,000 just in the U.S. We don’t know if there would have been more open roles if not for AI or if AI is actually leading to more open roles, but since the start of this year, the increase in open eng roles is accelerating even more.

Multiplying matrices is one of the most important computations in AI and we still do not know the best way to do it.

The proportion of high-IQ people in the world is declining fast.

Managers who don’t understand what their reports do think it’s ripe for AI.

I didn't realize how hilariously bad artificial intelligence was until tonight, when I asked it about something I'm an expert on. I asked it about zoning laws in Pennsylvania and the AI hallucinated case law that doesn't exist. Silicon Valley wants us to rely on this slop? 😬

Do you think California will end up being the corruption capital of the United States?

Vibe coding is creating overconfident engineers. (a rant) We used to debate architecture. Tradeoffs. Patterns. We had opinions about systems, if not, we used to study them. Now we read the AI output, it looks reasonable, we ship it. Without even thinking of other options. We are losing the habit of even asking the question. System thinking is a muscle. And muscles atrophy. There is a difference between an engineer who uses AI and an engineer who has outsourced their thinking to it. Most of us cannot tell which one we have become!

There are so many more colors, but we can't see them.

My most contrarian AI take: AI's rise will take decades to play out It won't be finished in our lifetimes Nor probably in our children's lifetimes We are living through the first few years of the next Industrial Revolution, which was a 200 year arc

This is actually insane. Dude hard-coded a WebAssembly (WASM) interpreter into the weights of a transformer, losslessly. In essence, a computer is running inside a LLM that can actually run computations, not infer or guess a calculation like most do today.

35 mph should be on the road, not the sidewalk

I've noticed ~3x increase in token costs recently It's getting much more expensive to generate code The rug pull is coming

you’re telling me the following set of facts are true: > software engineering is becoming automated by AI > demand for software will continue to grow, because software is the infrastructure of the digital economy and the digital sector is the fastest growing > the people with the skill to architect and orchestrate this software at 1000x greater speed are trained software engineers and yet software engineers are all screwed and going to be poor forever? how does that logic add up?