g9yuayon

My bad. I meant among American companies. Not those ICCs.

I wonder why Microsoft is singled out. Shouldn't companies like IBM and Cisco are gross offenders?

> I suspect that a lot about what we call being very intelligent is ultimately out-remembering people around us.

I wonder practically how useful it is. It should be very useful, right? Say you're a hiring manager, and now you can hire thousands of students who have almost eidetic memory across pretty much all the subjects. The students can produce amazing work if you give them specific instructions. They are also very good at mechanical pattern matching. That is, they are the uttermost crammers. They are like the students who don't really get STEM yet they could, through memorizing all the problem-solving patterns, ace any national college entrance examinations, IMOs, PHOs, Putnams, you name it, and all the way to solving hard problems like Sendov Conjecture - they even found out elegant elementary solutions! Mind you, Terrance Tao proved a weaker conclusion when studying the Sendov Conjecture and got to publish his work on The Big Four. That said, the students won't take initiatives, and they sometimes make very silly or even impossible mistakes, to the point that it requires your supervision and review. Would you hire them to do your company's work? I'd assume that answer is a resounding yes.

And in developing countries too. People may not realize that when there's no industrialization, people still need fuel. So they cut down tree that they could walk to. Just look at the pictures missionaries and travelers took in China a hundred years ago. Wherever there were people, there were only barren land. Heck, it was like that even in the early 80s in some places.

> How much of the job is a structured set of tasks vs. taking accountability?

More accurately, how many jobs are probabilistically mechanical. That is, how many jobs are really the execution of a serious Bayesian decisions with a strong prior. LLMs are really great at displacing such jobs.

> Lattner found nothing innovative in the code generated by AI

I don't think the replacement is binary. Instead, it’s a spectrum. The real concern for many software engineers is whether AI reduces demand enough to leave the field oversupplied. And that should be a question of economy: are we going to have enough new business problems to solve? If we do, AI will help us but will not replace us. If not, well, we are going to do a lot of bike-shedding work anyway, which means many of us will lose our jobs, with or without AI.

I like the Chinese alternative better: 古法编程. It feels like playful self-deprecation, suggesting old-school, handcrafted coding with a wink.

Ape coding sounds harsher and more insulting, implying mindless or sloppy work rather than humor.

Honest question: why are we so afraid of population decline? For people on the left, it means less consumption, less environment impact, less carbon footprint, and in general fewer damn evil people who are destroying the mother earth. For the right, everyone is responsible for their own destiny including their retirement life so they worry about their retirement spending solely on their own anyway. In practice, Japan seems to be fine. In particular their young people have so many job openings to fill.

So, what exactly are we worrying about? The social security is not sustainable? The medical cost will go through the roof? There's no enough military power? There won't be enough consumption to support the growth (in that case, why do we have to keep growing? Why can't we just stay where we are? Again, not rhetorical questions but honestly curious about the answers)?

> so we have been unwilling to invest in our own children.

The school districts like SFUSD are actually sabotaging the growth of our kids in the name of equity. They're committed to ideas from people like Jo Boaler, and they tried very hard to dumb down the curriculum. The real tragedy is that kids from wealthy families will just get other means of education to make up the difference. It's the kids who desperately need the quality education who are going to be left behind.

If it were up to me, I'd send those people to jail (yes yes, I know. I'm just angry and lashing out)

I'm curious why Lisp didn't gain mass popularity despite its advantages. In fact, I was wondering if it's popularity has event decreased in the past decade or so. I remember in the 2000s and even early 2010s, there were active discussion on Clojure, Scheme, and functional/logic programming in general. There seems much less discussion or usage nowadays. One theory is that popular languages have absorbed many features of functional programming, so the mainstream programmers do not feel the need to switch. My pet theory is that many of us mortals get the productivity boost from the ecosystem, in particular powerful libraries and frameworks. Given that, the amazing features of lisp, such as its s-expression, may not be powerful enough to sway users to switch.

I think both can true. I learned a lot in my university, and my learning has been carrying me ever since. Case in point, it was never a problem for me to pick up functional programming or programming-language concepts in general because the courses on programming languages were so wonderful. I had no problem tap into formal verifications or data science or distributed systems because my universities gave me solid fundamentals. Heck, I was not even a good student back then. It was Sam Toueg of the failure detector fame who taught us distributed systems, yet I was lost most of the time and I thought he was talking some abstract nonsense. Only after I graduated could I appreciate the framework of analyzing distributed systems that he taught us.

On the other hand, we certainly learned more after graduation (or something is wrong, right?). When I was in the AI course, the CS department was all about symbolic reasoning I didn't even know that Hinton was in the same department. I think what matters is the core training stayed with me and helped me learn new stuff year after year.