trwm

7 ms·

1.
by trwm 2y ago
The whole thing reads like great literature. There should be a scientific magazine for papers that can be understood by the motivated layman. I accidentally read the whole thing in one sitting.
2.
by trwm 2y ago
How fortunate are they whose families are still alive to mourn them.
3.
by trwm 2y ago
There is a difference of degree between running Treblinika and supporting the US military. A piece of computer history everyone should know is that holocaust tattoos were IBM punch card codes.
4.
by trwm 2y ago
We stop pretending that universal time exists and add location to every time stamp relative to some predefined clock at a known location. The issues of when something happened dissapear.
5.
by trwm 2y ago
The constraints of today would be much worse. I'd go so far as saying that making even Kubricks version today would be impossible.
6.
by trwm 2y ago
The multiplier effect is well known and understood. Nit sure why you're arguing against it.
7.
by trwm 2y ago
Yes this is called a positive externality. It is why outsourcing produced much more devastation than was promised and why onshoring will create much more work than expected. The end result currently will likely be stagflation since like alw
8.
by trwm 2y ago
Similar to OP if information is low density like a legal contract I can do 1200wpm after a few hours of getting used to it. Daily normal is 600wpm, if the text is heavy going enough I have to drop it down to 100 wpm and put it on loop. Like
9.
by trwm 2y ago
>This is of course true, but there's something very broken with lisp: metaprogramming and programming aren't the same thing, Metaprogramming and programming are the same thing. It's just that no language, including all lis
10.
by trwm 2y ago
At this point this is a distinction without a difference. The only question is if splines are more efficient than lines at describing general functions at the billion to trillion parameter count.
11.
by trwm 2y ago
Business processes don't need deep learning in the first place. It is just there because hype.
12.
by trwm 2y ago
Biases are just weights on an always on input. There isn't much difference between weights of a linear sum and coefficients of a spline.