bionsuba
Joined 14 years ago
Joined 14 years ago
So the creatures who invented the conceptual framework of reason and logic have no way to use reason and logic. Got it.
>Citation needed
Here's one example of his opinions on reason: https://www.youtube.com/watch?v=GQcYZpY9JI0
>Correct, they react to stimuli.
If humans didn't have a capacity for reason, then observing stimuli wouldn't mean anything and we wouldn't be able to transform observation to concepts. His example was people accidentally making a camera obscura by having a hole in the wall. Without reason, you
1. Wouldn't be able to conclude that it was even the hole in the wall causing the effect
2. Would be equally likely to attribute the image to the act of a divine power
And his failings on blank slate theory are not on the genetics side of things, but on human behavior. Much like the conception of the new socialist man, his thinking relies on behaviorism.
1. Humans don't have a capacity for reason
2. If reason existed it couldn't lead to any truth
3. That people only find scientific discoveries via chance
So I wouldn't expect him to be dissuaded by a rational argument.
He also believes in the blank slate theory, so not exactly up to date in the science world.
People use Python all the time to manipulate data sets >= 100G in size despite its speed failings at that size. Why? Because Pandas is just so damn convenient. It would take me a grand total of 30 seconds to write Pandas code which read a TSV and gave me the sum of two multiplied together columns grouped by the day of a timestamp column. Doing that in C would take several orders of magnitude more time.
It's an optimization of people's time problem. You could probably spend several hours (or days) writing a C program for a specific problem. But if you can spend only 40% of the time writing the program and have it only 20% slower, then that's a definite win (these numbers are just an example).
You can always count on the Brits for coming up with great names for things.
> The idea of AI picking up the biases within the language texts it trained on may not sound like an earth-shattering revelation
That's an understatement.
> But the study helps put the nail in the coffin of the old argument about AI automatically being more objective than humans
Again, this isn't AI, and anyone with knowledge on the subject has always known that a traditional machine learning algorithm is only as good as its training data.
This also seems like a case where the researchers are simply unhappy with the results they received, rather than being able to show that the results are wrong.
Most of the community packages out there use the GC. Some though are transitioning to a std.experimental.allocator interface, like this containers library https://github.com/economicmodeling/containers
There are other less extreme solutions, such as the ability to have some threads be registered with the GC and others not. Also, you can just find your bottle-necks and mark those specific functions as @nogc. Some people also turn off automatic collections and manually trigger them only when it's ok to pause.