Surprised to see that no one mentioned https://vespa.ai/ the best alternative to vector DB imho

+1, Vespa is on another level. 3 years of production and its been a dream!

Is this a simplified interpretation of GNNs? because I couldn't find a reference for that.

EDIT: found it! https://arxiv.org/pdf/1609.02907.pdf

A wide enough NN can represent any arbitrary binary function, but it's not obvious that one can learn it.

Yet the best NNs are deep, not wide.

What do you mean by 'the best'? Deeper architectures are popular because they quiet easy to train. They do work well in practice on many tasks (especially vision) but they have their limits.

Infinite wide networks are a newly active field and has recently shown some promising results, theoretically [1, 2] and empirically [3].

[1] https://arxiv.org/abs/2001.06931 [3] https://arxiv.org/abs/1806.07572 [2] https://ai.googleblog.com/2020/03/fast-and-easy-infinitely-w...

I find the technique very similar to the one presented in [1] from 2018, and I can't seem to find a ref to this paper in theirs.

Another interesting and very related paper [2] that they fail to mention also shows improvement in training time (epochs) with dynamic pruning

And for the ones who wondered how far this is going back time I suggest you to read this one [3]

[1] https://www.nature.com/articles/s41467-018-04316-3

[2] https://arxiv.org/abs/1608.04493

[3] https://papers.nips.cc/paper/323-generalization-by-weight-el...

He just uploaded the second part of this series an hour ago: https://www.youtube.com/watch?v=V-1RhQ1uuQ4

This one is on Twitter, and in it he also talks with NATO, who contacted him after he posted the first video and sent him a NATO report on platform manipulation. See...

Robotrolling https://www.stratcomcoe.org/robotrolling-20183

Very nice tool, thank you very much that. This is why is love HN

Yeah, this is actually quite funny. You can also watch it on iTunes. Are Amazon and Apple exceptions with respect to selling your information? (I'm genuinely asking)

Apple’s whole stance is to protect your data. They don’t sell it.

Don’t know about Amazon but I think they use it for their own services only as they’re not advertising company. ---- EDIT: Brain fart, ignore

Amazon made $2 billion last quarter in advertisements. This is easily searchable, but here's the first result I found: https://marketingland.com/analysts-say-amazons-advertising-b...

As a comparison, Twitter made $758M in revenue last quarter.