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This comment made me check your profile to see what country you're from, since I don't know of any people this brazen other than my own. Maar natuurlijk, you're Dutch too.

The Nothing CMF Watch has a true (two?) week-long battery life due to its RTOS, but it's kind of mediocre otherwise. More like a souped up Casio.

Oppo and OnePlus have around 10 days with a full Android Wear system using a clever hybrid technologie running another low powered OS when Wear is not required.

The market is very different nowadays than when the Pebble came out.


Looks great, but a mere 30 day warranty for manufacturing defects is kind of insane. I'm glad they're planning to fully support notifications on iOS in the EU due to the DMA, but that warranty wouldn't even be legal if they sell directly within the EU.

During my Bachelor's, I wrote a small "immutable" algebraic machine learning library based on just NumPy. This made it easy to play around with combining weights by simply summing two networks by whatever operations are supported on normal NumPy arrays.

... turns out, this is only useful in some very specific scenarios, and it's probably not worth the extreme memory overhead.


Speed:

- 3942ms

- 4281ms

Guess it depends on your region. This is from East-Asia.


This is incredibly cool! How do you think these modern language features would have affected Dreamcast development back in the day? (I have no idea of how difficult the console was to develop.)

It was a dream relative to anything else on the market (until 2001, when the Xbox and GameCube were released), made even easier for some titles due to the optional Windows CE SDK. You still needed to do a fair bit of SuperH assembly programming to get reasonable graphics performance, but it was nothing like the nightmarish complexity of the PS2, despite having half the RAM. It's still one of the more popular homebrew targets.

I think Lua (yes you can code Dreamcast games with it) would be really awesome for kids, being able to make their own games, given the language is simple, like Python. But in general, for serious stuff C/C++ is still the preferred way.

Thanks for the link, that's a very interesting statement piece. There must be some word though for the artistic illiteracy in those X/Twitter replies.

Very good work for a high schooler, but explaining backpropagation and cross entropy loss is typical of ML paper-mill, though the feature extractor is interesting. These results really call for more domain-specific analysis to reach any significance deserving of headlines.

This seems super well-done, albeit completely impossible for laymen. Great work, I'd love to see someone with the necessary knowledge play this.

The ranking is very interesting if substantiated, but learning Polish in response is somewhat mental.


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