I suspect front end will be similar to how AI impacts other domains: experts who can leverage the tools will be able to be more productive at the cost of junior engineers. Even before AI, low or no-code frontend solutions already impacted the frontend market.
I suspect that’s true of most commoditized domains where AI has enough training data. Niche domains will be less impacted.
The world sucks for most people. The world is better than its ever been for most people. The world can be improved a lot for most people. Those three things can and are all simultaneously true.
Unfortunately, improving the world requires engaging deeply with issues and many people now prefer to speak in terms of grand historical narratives and emotional arguments that stitch sparse data points into a large story far vaster than the data can support.
My guess: the COVID related inflation was visible, made for a relatable talking point, and our modern day communication technologies made it easy to repeat that talking point over and over.
This. Even though inflation is just about back to where it was pre-covid, the winning candidate gave his voters the impression that he could lower the prices that had gone up during the earlier inflationary period. The majority of voters don't understand the underlying economic issues: Unless you get a negative inflation rate (deflation) you're not going to see lower prices. And the only way you get deflation is during severe economic downturns - now it could be that his promise will come true and we'll get a severe economic downturn that leads to lower pries, but I don't think the people that voted his way had that in mind.
Of course people don't really want deflation either, and most people don't really believe prices will magically drop 30% back to where they were in 2019.
But it's still reasonable to punish those who presided over the inflation spike if you think their policy choices played a role in causing it.
Except they voted for the guy who arguably started the inflation spike and will stoke inflation again by imposing tariffs on all imports (not to mention increasing deficits faster than the other guys would have).
> and most people don't really believe prices will magically drop 30% back to where they were in 2019
You'd be surprised. Most people don't, but a most of the people who voted for him did seem to that he was going to magically drop prices.
Except the causes for it are due to multiple elections of people with almost the same policies regarding regulation and taxation, leading to consolidation.
So, punished people by electing people with the same policies, just with more lies. Perverse incentive is to keep the same policies, but lie more.
There are many flavors of buddhism. I am partial towards the Thai Forest tradition because it emphasizes practice and experience over dogma and so avoids metaphysical discussions.
> But what troubles me most about Buddhism is its implication that detachment from ordinary life is the surest route to salvation.
The response from the Thai Forest would be to engage in your life skillfully while paying attention to what causes you happiness or suffering and adjusting what you’re doing based on that. Maybe you discover a certain level of detachment is optimal, maybe you find you need to be more involved in your life. You go where the practice takes you.
The Greeks and Indians are closer to each other culturally than people are willing to admit. They should be considered cousins in terms of their philosophy, cultural, and religion.
That there were Greek states and colonies in Norther India/Gandhara that spoke Greek for generations is not given enough scrutiny imo. The cultural impact of that transmission not always clear outside of something concrete. Like the most obvious being the Greco style Buddhist statues in Gandhara.
So Stoicism is probably similar because of some cultural link that's lost. This is especially likely considering that the rise of Stoicism coincides with Alexander's conquest and lateral cultural contact.
True! Buddha and Alexander the Great were really only 100 years apart. Greeks and Hindu deities have many similarities. The trimurthi of Brahma, Vishnu, Shiva correlates pretty closely to Zeus, Poseidon, and Hades. It works the other way as well as I think Greek philosophy also got influenced by Hindu/Buddhist world view like Stocism. Both sides seem to have benefited with the ideas of the other especially along math and science.
A hundred years after Alexander the Great we have Ashoka the Great who sent Buddhist missionaries to the four winds and if you squint Christianity sort of resembles a mesh of Jewish and Buddhist philosophy.
There are some similarities. A key difference is buddhism’s emphasis on meditation and practice as a key part of learning to act skillfully which I don’t think stoicism emphasizes as much.
Stoicism has always felt more “human scale” to me. It talks in terms of human virtues, and how a good life is only found in virtue. Buddhism always felt more focused on the mechanics of the mind and how understanding can be converted into attaining happiness/enlightment.
That being said, I’m not nearly as knowledgeable about stoicism.
Dicts in python are for when you have a thing and you aren't sure what the keys are. Dataclasses are for when you have a thing and you're sure what the keys (attributes are). The trouble is when you have a thing and you're sort of sure, but not entirely sure, and some things are definitely there but not everything you might be thinking of.
This section sums it up and I agree with the author here
> LLMs are useful if you already have a good mental model and understanding of a subject. However, I believe that they are destructive when learning something from 0 to 1.
Super useful if you have code in mind and you can get an LLM to generate that code (eg, turning a 10 minute task into a 1 minute task).
Somewhat useful if you have a rough idea in mind, but need help with certain syntax and/or APIs (eg, you are an experienced python dev but are writing some ruby code).
Useful for researching a topic.
Useless for generating code where you have no idea if the generated code is good or correct.
Sorry, the video does not mention the United Sates at all. The author (cremieux?), says these lines in his article:
> bragging about the reality that China has automated ports and America mostly does not.
> It should be depressing for Americans that a single Chinese port can outmatch the throughput of almost all American ports combined
My original point stands. The video itself does not mention the United States; it is just praising a technological innovation in China. The author is adding his own spin that the video is in fact knocking on the U.S.
Paper is great for transient stuff that is relevant for at most a week or two, but it really goes downhill when you try to capture information you'll want to revisit in the future. Paper is great for todo lists and in the moment notes, but not so great for knowledge base building.
I used to struggle with a lot of tools before too and now use org-roam for longer term notes. The linking model helps a lot with just _writing_ the stuff down and not worrying about how to organize it too much in the moment.
Don't know about using __all__ for introspection, but I have found it immensely useful for organizing, reading, and communicating code. When a package has a bunch of files inside of it, but only a handful of names exposed in __all__ it helps a lot with orienting yourself around the package.
I suspect that’s true of most commoditized domains where AI has enough training data. Niche domains will be less impacted.