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its funny how this is great news but somehow the headlines are still negative

this kind of thing feeds perfectly into our fears. However, we have to place trust in individuals and the choices they make - that's the only thing that matters at the end of the day.

Kids know that they should be learning things. They know that chatgpt can get in the way of that. Will they choose to do it the right way eventually aside from a few bumps in the road? I think so.


but does improving really help these small companies in the way it matters? If the cost of the infrastructure is apparently not important to the needs of the business..


anything that needs very real-time info. AI's will always be limited by us feeding them info, or them collecting it themselves. But humans can travel to more places than an AI can, until robots are everywhere too I suppose


seems very relevant to me. Isn't it capitalism that reduces our value to $s? And thus our art is only valuable as content?


I think this is a common misconception of the comparison between "capitalism" and other forms of economic distribution. It's not capitalism that equates everything to dollars, it is how the universe works. This was the beauty of Karl Marx's thinking. He postulated that the best way to measure value is in the amount of human labor that goes into the output. However, once you have a medium to equate the value of a new chair into labor then I can come up with an another transformation to equate that labor into some defined quantity of glass beads. It turns out that choosing Labor as the "value" is completely arbitrary, and so dollars (or yen or gold) works just as well as a medium for conversion.


Choosing labor as the value is worse than arbitrary, because labor is far less fungible than (say) commodities. The value of labor depends on whose labor it is for the job. Half an hour's labor by one person can turn apples, flour, butter, and sugar into a delicious pie; half an hour's labor by a different person will create a soggy mess. In one case, labor adds value; in another case, it destroys value (can't use that flour for anything else now.)


> This was the beauty of Karl Marx's thinking. He postulated that the best way to measure value is in the amount of human labor that goes into the output.

This is indeed the most beautiful insight of Karl Marx that I ever read. This predicts perfectly why all socialist/communist economies collapse. They value inefficiency. The more work is needed to build a product, the more valuable it is --- according to Marx. That is one of the most fundamental error in his theories.


You're assuming socialist/communist economies must, for some reason, be run exactly the same as capitalist economies. Of course if you're trying to mix both it will collapse.

The point of Marx isn't that we should create markets where the value is decided by the amount of labor. The point of Marx is that if Labor creates value, then Labor should be in charge. The problem being that Labor is hard, so the end goal cannot be to maximize Labor (or value), contrary to your implied way of thinking were the most value must be created.


If maximizing value is not the goal, then why should Marxism redefine value in a counter-intuitive way?

Btw, "Labor" cannot be in charge, outside the UK at least, because Labor is an abstract concept. In Marxist societies people are in charge that pretend to have the laborers best interest in their hearts. But as they "Some are more equal than others."


> If maximizing value is not the goal, then why should Marxism redefine value in a counter-intuitive way?

Because it's only an exchange value and doesn't take into account the myriad of things that also have value but are not a consequence of work ? And the goal of Marxism might not be to maximize exchange value ?

> In Marxist societies people are in charge that pretend to have the laborers best interest in their hearts

Hard disagree, looking at societies applying values evolved from Marxist theories I see people in charge of themselves. I think of the old Commune de Paris, of the Spanish Revolution, of the Rojava. You need to look further than the one example you have in mind.


how did you leave it behind? I am at their mercy right now and interested in switching to a stack where people actually value the tech rather than just tolerate it.


Nobody but developers care about the tech. People only care about what it can do for them.


leave behind as in "move to better pastures", "change job"


thanks for sharing. I appreciate it


As a Data Engineer, I feel like a fixer. People think their data is incorrect and they ask me to fix it. It's similar to fixing someone's computer when they think its broken.

Incredibly valuable but also somewhat unfulfilling in that you are rarely innovating/inventing like a SWE. There you are building tools that can change how people act/think. On the other hand, as a SWE/inventor you aren't desperately needed like you are as a DE. The needing can be nice...


Also a DE - the “data as a service” model is broken. Data engineers need to be upstream producing insights because they have the best feel for the warts.

Companies that treat DE as IT (“service model”) do not have the right perspective and will not hire the kind of DE who are difference makers.

Data teams should be partners.


I work in data, but I've seen a lot of comments from SWEs who are tired of building the same CRUD web app over and over again. The grass is always greener?


I work as DE in a local medium business and since there's no giant all-in-one ERP my role is essentialy build solutions to improve (or create) analytics to act upon. It's working and even if i'm not at spaceX, i feel like i'm inventing something. But, since the size of it all..i also fix things (software and hardware).

Now, the problem is to convince other business that they might need my services.


Wouldn’t this avoid a lot of ad exposure that companies are currently enjoying? Why would they want to give that up by allowing you to use your llm instead?


You’ll never get to the moon on 4kb Apollo computers like that


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