I usually take one picture of an occasion. And there might be one or two events that qualify as occasions each month. That way, some trigger for the memory is created, but picture-taking does not get in the way of experiencing things.
It's not "over" greenery. Land is entirely cleared of vegetation before panels are installed, including the occasional forest. Thousands of larger birds are killed by wind farms. Offshore wind farms are creating deserts for fish. Understandably, many prefer the good old days before the planet was being saved.
If diseases manifest differently for different races and genders, the obvious solution is to train multiple LLMs, based on separate datasets for those different groups. Not to mutter darkly about bias and discrimination.
We can squabble over definitions, but a primary characteristic of Platonism for many people is the belief in a (separate) domain of ideals/concepts. That e.g. mathematical objects exist outside of our individual cognition. That's more dualistic than monistic.
I've found that AI has saved me time consulting Stack Overflow. It combines thorough knowledge of the documentation with a lot of practical experience gleaned from online forums
It has also saved time producing well-defined functions, for very specific tasks. But you have to know how to work with it, going through several increasingly complex iterations, until you get what you want.
Producing full applications still seems a pipedream at this stage.
That's kinda still how I get the most out of it - search, more or less. Claude gives me great starting points from which I can do some refining/confirming searches and documentation lookups. _Starting_ with search feels like a drag now. But the information and code I get is unreliable at least 20 % (just a guess, frankly, did no statistics) of the time, so I treat the output as things to try or investigate, rather than things to ship.
You'll probably get a few responses from folks that happily tab complete their software and don't sweat the details. Some get away with that, I'm generally not in a position where it's OK to not fully understand the system I'm building. There's a lot of stuff that's better to find out during development than in a late night production system debugging session.
The most likely eventual outcome of ChatGPT (and similar software) will be the elimination of graded homework/coursework, and a renewed emphasis on traditional in-person tests and exams.
Usefulness to society is only meaningful if a society is going somewhere. Modern societies don't have any collective goals, they are just drifting agglomerations of individuals, most of them intent on their own enrichment or pleasure. So there is nothing for talented individuals to contribute to, and they may as well channel their energies into following their own curiosity.
I used this method to learn Latin during the lockdown. But I found Anki more trouble than it was worth. Instead I went old school and used handwritten bits of paper. Worked just fine.
Almost every program I've used 20 years ago still available today. I think that I switched from Eclipse to Idea like 15 years ago, but Eclipse is still rocking. IT really frozen in 1990s. OS didn't change at all, they just switch fancy colors and border radius every few years. Software is the same, they just add more annoying bugs and useless features, but nothing really changes. I'm still using the same unix shell and unix tools I've used 20 years ago, I'm still greping and seding files around.
