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Comment by ztratar | Hacker News Reader

Uhhhhhh. Good lord, I barely have words.

I hope they only use these defensively. The world needs these systems without huge royalties.

I hope they don't get the patents at all. You shouldn't be tied to DeepMind/Alphabet's goodwill over patents in fields they're clearly not the only ones innovating in.

Trump's recent USPTO appointed seems like a patent extremist. He recently argued that the USPTO (which he now leads) should not be allowed to call patents invalid after issuing them. He said the Supreme Court was wrong to rule that.

And I believe the previous USPTO chief was a former Google employee. So, either way, I think Google will get these, unless some organizations like the EFF start going through the process of attacking these patents.

>He said the Supreme Court was wrong

Good thing it's the Supreme Court then, and not the "Maybe do what we say Court."

I get a little excited every time some idiot from the current administration tries to take on US rule of law, because I know the slow machinations of the legal system will eventually spank them into orbit over it.

As if the people of the United States haven't been signing blank checks to the executive branch for decades, and then just flooring the accelerator after 9/11. Your inability to get past the sideshow face of Trump's administration seems to have caused you to completely forget about, say, the free reign the administration has over its drone assassination program? They literally drop bombs on the phone numbers that Palantir spits out. Or National Security Letters that basically give them the legal machinery to completely and wholly subjugate an entity in any way they wish, with rubber-stamp "judicial approval" from a secret court and zero recourse for the victim, including requiring the victim to lie for the government to cover up its crime? Don't let the bullshit with your favorite color make you lose sight of the absolute power "the slow machinations of the legal system" has been corrupted to allow.

Half of these are already outdated if you consider what happened between 2016 and 2018.

I am curious to know what happened between 2016 and 2018 that made them outdated?

The (convolutional) deep learning boom happened.

That happened in 2012.

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