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Joined 12 years ago
Joined 12 years ago
Along the same lines, most current western sci-fi I am aware of (mostly mainstream) is dystopian. Black mirror the show is a good example, also considered intellectual by many. I feel this tendency is even stronger in Europe than in the US, at least when I visit.
In contrast, China is somehow more optimistic. Consider AI right now. Some recent poll shows Chinese people are far more optimistic or positive about AI than western people, an interesting perspective considering their own government has made computer vision surveillance and face recognition far more widespread than it is in the west.
Do these kinds of popular sentiment matter for our collective decision making? are they a needed precaution to ensure things keep getting better? or do they create self-defeating collective behaviors? wdyt.
If you are asking in human terms, its instantaneous to start, it simply creates a few files etc and starts a process. If you were using Sqlite, there is no extra associated process. But the processes are simply waiting for your input, so normally this is not really extra work.
In benchmark terms, the way I'm using it startup time is not a huge issue, instead being able to use postgres is helpful (has extensions and you know you can eventually move to a hosted postgres if you want)
If startup really matters, the startup can be amortized (if multiple processes want to access the same file, they get a handle to the same already started process, so only the first one would have waited for startup).
In terms of ongoing resource consumption, I can easily have a bunch of separate servers running for different files (it depends on your workload how much work will happen behind the scenes.) I'm not sure how much extra work postgres needs to do vs sqlite beyond what is kind of inherent for a workload (eg index creation, saving a bunch of data etc).
The deeplearning.ai math basics for deep learning, seems self-contained. MiniTorch repo (implement your own tiny torch) seems also helpful to understand what goes on during training. MinGPT repo (to understand a basic version of GPT model structure) Dive into deep learning (textbook avail online, more focused on practical DL)
I have been waiting for weeks, and am still waiting, to get access to Llama2 (released a month+ ago), and access to this model goes through the same form, so I'm not very hopeful. Are you getting it from other methods?
I've used https://chaaklau.github.io/cantorocks/, but I would like to also try others, as the audio is not great sometimes and I'd like to listen to different voices.
When studying Mandarin I found that getting the phonetics right early on really helped me, it can be done in a relatively short time and its hugely motivating.
Is there some easy way one change the font used by Spotify to be this font somehow?
One tool I use to help me work even when I'm not feeling it is Focusmate (google it). I've found that sometimes, working out my issues is useful , but sometimes the emotions are overpowering and no amount of working them out will make me not regret something. That used to make me stop. Nowadays if I use Focusmate, I tend to think less of such `large picture' issues and instead work on just a little bit, and get a little done. then after a day, a get more done, and so on. I do sometimes get upset and avoid it altogether, but I'm definitely much better at `time management' this way. Also, I don't want to leave a focusmate in the middle of a session, i just need to stick around 25 minutes, and the feelings can pass and i can even enjoy some of the craft of the specific thing I'm doing. I hope it helps someone.
Also. The part on being good at identifying the right experts is interesting...