Not Rust because you won't find anyone to maintain code. Rust is only for rewriting existing code in other language not maintaining it. C++ perhaps because of number of people who already know it, but only for performance sensitive areas. Also, lot of training data. Other than that, usual suspects, Java/C# for enterprise and node/Python for web/DS.
LOL, the blog gives a lot of detailed reasons, even summarizes it [1] and but some random stranger gives an outdated opinion from the '90s, which is not even wrong just plain humorous. If slave labor, how come everything else is also not so cheap.
[1] Virtually all the major mechanisms that can drive efficiency improvements — improving technology and overlapping S-curves, economies of scale (including geometric scaling effects), eliminating process steps, reducing variability and improving yield, advancing towards continuous process manufacturing — are on display here
Why are you putting the onus on the commenter you’re replying to, to show you examples that disprove the point of the article when you’re the one being a contrarian?
TVs are super famous as the economic example of a good getting cheaper in nominal terms every year as they get better specs. Because it’s such a strange phenomenon. You looking for cheaper real goods, opposed to nominal, misses half (or more) of why TVs are so interesting.
Why don’t you show us some other goods that are cheaper in nominal terms compared to the 90s “because China”?
Basically almost anything electronic? Camera’s, microphones, wireless microphones, battery packs, etc.? Plethora of kids toys all made in china. Most of them are crappy throway, so whether they are really cheaper than the quality toys you can play with for longer…
Then, I noticed that some frozen salmon in our supermarket was mega cheap at €9/kg, as opposed to the more standard €14-16/kg, and the country of origin???? China.
You linked a macroeconomics paper. You’re asking for examples from microeconomics. Are you going to provide your example products or do you get off on disproportionately wasting other peoples’ time?
The article itself already provides them with the TV… you can use cell phones too if you’d like. A palm pilot vs a Xiaomi. Virtually any electronics junk that you’d find on Amazon is cheaper now. What’s the common factor…? China. Again, in the paper.
Seems like a bug, it's pulling in all the jobs that have either vision or pro in their text (which is probably everything). Need to put "vision pro" to filter and even select the product (Apple Vision Pro) to get about 74 jobs.
This is a good resource, however for about 99.99% of people, you are most likely to just use a foundation model like ChatGPT, Claude, Gemini etc. so this knowledge/training will get you neither here or there. I would suggest you look into another Karpathy's video -- Deep Dive into LLMs like ChatGPT.
LOL, this is the list to keep in your head for this so called "manual". Best of luck of those who will work through this. BTW, Karpathy made that comment in 2025 not 2024.
Morphability - natural language as morphable code
Abstraction - tasks become reusable commands
Recursion - stack abstractions for leverage
Internal Consistency - prevent system drift
Reproducibility - crash-resilient design
Morphic Complexity - recognize over-engineering
E2E Autonomy - measure actual capabilities
Token Efficiency - maximize work per token
Mutation & Exploration - controlled self-improvement
If you aren't using multiple agents, subagents, and autonomous MCP abstractions to construct a detailed morphological model of your codebase, you'll never appreciate the sublime bliss of man-machine union that the enlightened among us here have come to know.
That is so January 1. Get with the program. Your approach is obsolete. You will fall behind in the global arms race. It's almost January 3, it's time for a new methodology!
Pro-tip: move to an earlier timezone so you can get the real edge on your competition.
> If you aren't using multiple agents, subagents, and autonomous MCP abstractions to construct a detailed morphological model of your codebase, you'll never appreciate the sublime bliss of man-machine union that the enlightened among us here have come to know.
Without a winking smiley or other blatant display of humour, it is utterly impossible to parody an AI hyper-enthusiast in such a way that someone won't mistake for the genuine article.
Just like San Francisco and Dallas/Texas (from his article) are very different in the US, we should expect lot of differences in Europe (as others mentioned, he clubs UK with EU). Housing is a general problem for all major cities though, not sure why you think it is unique to London in the whole continent. Stockholm, Paris, Dublin, Lisbon to name a few, are pretty bad for housing in their own unique ways. Certainly shouldn't be "breaking your brain".
> Just like San Francisco and Dallas/Texas (from his article) are very different in the US, we should expect lot of differences in Europe
Dallas and San Francisco are both English speaking cities with a shared recent history of being part of the same nation. Most cities in Europe are as close as New York and Mexico City - Dallas and San Francisco is probably more analogous to Milan and Naples (different cultures, different histories, but now speak the same language and are part of the same nation).
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