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sudoscript

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You deny the statistic in the article. Then you use corporate speak like "we internally think about things..." Then you link to a blog post titled "Measuring Prevalence", which doesn't have a single data point with a number in it. Not to mention that it's another mess of CorpSpeak that sounds like a PR committee wrote it, not a human being.

The problem is not your intentions. It's clear that you actually want to engage people, given that you're replying actively on this board, even to impolite comments. The problem is the style of communication. It sounds constructed, artificial, developed through a process, like you and a bunch of people are sitting there drafting replies and tweaking until you have something that won't come back later and bite you in the butt. The problem with that strategy is that you end up saying very little of meaning at all.

So maybe to make things more concrete - is there a statistic on measuring the impact of recommendations that you do agree with that you can share?

I don't know about others, but it's not boring reading for me. I appreciate it when someone points out the downvotes and responds, as OP has done here.

We shouldn't treat downvotes the same was we do trolls and ignore them.

It’s a trade off between convenience and security. Consumers _do_ care, just not enough to put unusual amounts of effort in. These moves by Apple make it much easier, and could become things consumers expect from their devices, since they don’t have to give up convenience to have them.

What’s wrong with that argument?

At an individual, probably nothing. But at a macro level, apathy is equivalent to a lack of legitimacy, which is a big problem. If the cancer of apathy spreads too far, the entire system comes crashing down.

It’s like a party where your job is to bring one of the mixers. You don’t bring yours, nothing that terrible happens. No one brings any, and the party becomes a disaster.

Currently we trust information by the source it comes from. It’s an authority-based model.

Consensus shifts that trust from authority figures to others in your group. Bottom-up trust instead of top-down.

What do Joe and Jane think about the mountain of debt they’ve had to pile up? What do they think about the bankers who decide what happens to their money, and the politicians who decided to bail them out? Do they really have abs much faith in USG as you say? By the last election, largely seen as a middle finger to governing elites, I’d say probably not.

Yes, they like the convenience of the dollar but they are also suffering from the consequences of fiat money. You might say they’re too stupid to understand that, but there are many Joes and Janes who understand gold and may even want to go back to a gold standard. If they can understand gold, they can understand the value of Bitcoin.

> There’s an association that still lingers between a “community” and a physical location — the idyllic small town, say, or the utopian village, real or imagined. It evokes a cozy, friendly, simple place in which people live in easy harmony and cooperation, each with a role to play, each mattering to the whole.

> “Community” makes everything sound better. It makes “the activist community” sound approachable; it makes “the skin-care community” sound important; it makes “the Christian community” sound inclusive and kind; it makes “the medical community” sound folksy and skilled at the bedside; it makes “the homeless community” sound voluntary; it makes “the gun rights community” sound humanistic; it makes “the tech community” sound like good citizens.

All these "communities" that we're told we're part of all the time are really just labels. Very few of them actually have the organic bonds or genuine feeling of comraderie that real communities are supposed to have. They exist, but are much fewer and far in between than everyone uses the word for.

The very common complaint on Ada user groups and forums is the licensing model. Most companies avoid GPL like the plague.

What's wrong with the GPL?

You're partially right. But "wasted" compute cycles refers to time that your CPU sits idle. I think the argument here is about energy usage. So sitting idle is not the same as running other people's computations.

I did this course a while back just when I was getting started on my self-taught journey. I'd highly recommend this over Harvard's CS50 or MIT's intro course. This has great coverage of how a computer program works, without being too pedantic.

It's kind of cool when board games are abstractions of real world patterns. It's like you learn something about the world, about how it _really_ works, when you play. Monopoly (capitalism) or Diplomacy (international relations) are probably the most famous examples, but I'm sure there are so many more out there like this one on language that I've never heard of.

Random thought. Why can't something like Wikipedia be run distributed through a blockchain? Edits are just transactions that are broadcast over the network. I imagine the total cost of that to individual contributors of nodes would be less than the millions they're paying right now.

EDIT: Turns out someone is already working on it: https://lunyr.com/

This is like so many articles and books I've read (several mentioned in this article itself). Ok, AI is a threat to jobs up and down the ladder. I get it. Now what? What are we supposed to do about it?

Honestly, what is the purpose of articles like this other than fear-mongering? It offers no constructive suggestions, and the only reason it's on the front page of HN is because "Artificial Intelligence" in the title.

The brain naturally employs dimensionality reduction for memory. Sleep is one example. Another, simpler one is reading -- how far back can you remember word for word when you are reading something? Maybe a sentence at most? But you still remember enough to understand what you're reading, because of efficient dimensionality reduction.

Some neural networks mimic this, such as LSTMs. But it's a poor mimicry at best. The brain has a natural, built-in selection mechanism. It seems to "know" what to remember and what to forget. How could we implement something like this in a deep neural network?

(This is key step to giving computers "personality". Which emerges from a selective set of memories and trained behavior)