EternalData

20 ms·

151.
by EternalData 10y ago
I think we agree on the larger point, just to the degree of the damage. I think I'm on a 7.5, you might be on a 9 in terms of damage AI can do to employment.
152.
by EternalData 10y ago
"And this post doesn’t even look at the text of the Amazon product reviews or the metadata associated with the products!" time to bust out the sentiment analysis
153.
by EternalData 10y ago
Been using PyTorch for a few things. Love how it integrates with Numpy.
154.
by EternalData 10y ago
Machines are bad at transferring domain knowledge and generalizing/making unconventional linkages between topics -- what some would regard as creativity, they're also not going to be very good at empathy without essentially solvin
155.
by EternalData 10y ago
The problem with AI is that it's dynamite when it comes to capital-labour relations. You can't compete with something with perfect agency that never gets sick. Now, are there going to be new categories of work and new economies? Y
156.
by EternalData 10y ago
With most developed nations looking to focus on tech and an inverting age curve threatening pension systems, I wonder how long it'll take for everything to shift from rampant nationalism to more open borders (at least economic borders)
157.
by EternalData 10y ago
One of the co-founders is pretty big in the Montreal startup scene.
158.
by EternalData 10y ago
A lot of advances in deep learning have come from providing more data and semi-structured information, but there are a finite amount of fields for which this can apply. Using game theory dynamics can move AI to transfer of domain knowledge
159.
by EternalData 10y ago
Go Montreal! woot.
160.
by EternalData 10y ago
I've noticed that the number of applications MI can be embedded into is nowhere near its full potentiality. There's a lot of potential for people who are able to think on their feet product-wise and incorporate MI, even if MI is a