All the hard work is always chasing down edge cases, scaling, operational issues and other things that don't show up the user-exposed features. And talking about features, the innovation in coming up with them, or iterating on making them work with real customer experience is a ton of value, even if copying the ideas that work later is much easier - which is why I generally prefer betting on an innovator with just of enough traction to show they can stick with it. The best category leaders both innovate and steal/copy/buy all the innovation they aren't producing in house to maintain their lead.
Business crave both data for analysis and checkboxes getting checked for compliance sake. If those don't align to the value of the work - then you have the classic of employees hating the "TPS Reports" they are forced to make. As an example, sales people are notorious for basically never updating CRMs and also they have incentives to skew the specifics anyway.
> this is sub-par and neglects important aspects of your business
But that is exactly the right way to think about it. If you have an army of sub-par workers that aren't going to think deeply about their value to your business, but are really cheap (relative to human labor) - how do you make effective use of them? Thinking about AI agents as being high-competence and able to learn your intent is the wrong model at this point. Though they can be high-competence in very specific narrow niches.
Also consider that while the OP looks like a skilled, experienced individual, all too often the documentation is being written by someone with that context, but rather someone unskilled, and with read empathy. Quality is quite often very poor, to the point where as shitty as genai can be, it is still an improvement. Bad UX and writing outnumbers the good. The successes of big companies and the most well known government services are the exception.
Depends on the service, and timeframes. For geforcenow, you also need to consider the upgrade cycle - how often would you need to upgrade to play a newer game? I'm not sure but probably at least once within that 8 years. Buying a new car, or almost new car, and driving it until it falls apart is a better financial option than leasing. But if you want a new car every year or two, leasing is more affordable - for that scenario. Also it depends on usage. My brother in law probably plays a video game once every other month. At that point, on demand pricing (or borrowing for me) is much better than purchase or consistent subscription. You need to run the numbers.
Honestly it feels like what I, or many of my colleagues would do if given the assignment. Take the current front page, or a summary of the top tropes or recurring topics, revise them for 1 or 2 steps of technical progress and call it a day. It isn't assignment to predict the future, it is an assignment to predict HN, which is a narrower thing.
Right, because you would read the teacher and realize they don't want you to actually complete the assignment to the letter. So you would do jokes in response to a request for prediction.
Depends on worldview. If you believe in God, amazing has many dimensions for evaluations. What teaches us more about the the world He created, things that create beauty by expressing righteous thoughts for others to experience, or that which strengthens family.
LLMs certainly teach us far more about the nature of thought and language. Like all tools, it can also be used for evil or good, and serves as an amplification for human intent. Greater good, greater evil. The righteousness of each society will determine which prevails in their communities and polities.
If you're a secular materialist, agreed, nothing is objectively amazing.
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