(Uhhh, AI in charge of censorship? So no one knows how decisions are made? No one can know with AI. That’s just a large mistake. The other ideas have some merit though.)
(Uhhh, AI in charge of censorship? So no one knows how decisions are made? No one can know with AI. That’s just a large mistake. The other ideas have some merit though.)
This looks to be more an endorsement of moderation principles and rules, not determining truth of comments.
For the difficulties in determining what’s true, see the kerfuffle about Media Bias Fact Check.
There’s certainly a history of Unix and Unix-like forks; which is rather simple compared to the Linux distro forks (go right to the big pic).
Huh, that’s so, it was there last January. It used to follow this paragraph (still there today anyway), which contains a similar criticism with citation:
It is widely used and has sometimes been criticised for its methodology.[4] Scientific studies[5] using its ratings note that ratings from Media Bias/Fact Check show high agreement with an independent fact checking dataset from 2017,[6] with NewsGuard[7] and with BuzzFeed journalists.
So if those are considered fact-based, there’s no need to delve further.
However, Wikipedia editors consider Media Bias/Fact Check as “generally unreliable”, recommending against its use for what some see as breaking Wikipedia’s neutral point of view.
Though errors are somewhat monitored by Retraction Watch.
Or as Dijkstra puts it: “asking whether a machine can think is as dumb as asking if a submarine can swim”.
Alan Turing puts it similarly, the question is nonsense. However, if you define “machine” and “thinking”, and redefine the question to mean: is machine thinking differentiable from human thinking; you can answer affirmatively, theoretically (rough paraphrasing). Though the current evidence suggests otherwise (e.g. AI learning from other AI drifts toward nonsense).
For more, see: Computing Machinery and Intelligence, and Turing’s original paper (which goes into the Imitation Game).
Oooooh, okay, I misread. Apologies.
Yet use AI (possibly) to determine users’ AI answers.
The “running joke” used by millions for serious and playful projects? [edited for punctuation]
Let’s extend this thought experiment a little. Consider just forum posts; the numbers will be somewhat similar for articles and other writings, as well as photos and videos.
A bot creates how many more posts than a human? Being (ridiculously) conservative, we’ll say 10x more.
On day one: 10 humans are posting (for simplicity’s sake) 10 times a day, totaling 100 posts. Bot is posting 100 a day. For a total of 200 human and bot posts; 50% of which are the bot.
In your (extended) example, at the end of a year: 10 humans are still posting 100 times a day. The 10 bots are posting a total of 1000 times a day. Bots are at 90%, humans 10%.
This statistic can lead you to think human participation in the Internet is difficult to find.
Returning to reality, consider how inhuman AI bots are, with each probably able to outpost humans by millions or billions of times under millions of aliases each. If you find search engines, articles, forums, reviews, and such are bonkers now, just wait a few years. Predicting general chaotic nonsense for the Internet is a rational conclusion, with very few islands of humanity. Unless bots are stopped.
Right now though, bots are increasing.
Back in 2000, there was something like that for the kernel with SELinux (Security-Enhanced Linux). Which continues to live in various distributions’ kernels. Not a full O/S though, and not generally regarded as a PoS.
There was an interesting post on Kagi a few days ago; with an alternative take on how it operates.
Yeah, there are two basic approaches to safety: evidence of harm and evidence of safety. Evidence of safety is the higher standard (e.g. broad long-term independent studies). Evidence of harm is a low standard (e.g. small studies, short-term studies). Guess which one is used for herbicides, pesticides, food, …
Yeah, that sounds reasonable in the long run (years), while the laptop plan is more immediately useful.
And what would be better recommendations for the poor individuals trapped by loans?
The reactions follow a KFF Health News article published by NPR outlining how licensed brokers’ easy access to policyholder information on HealthCare.gov has led unscrupulous agents to switch people’s policies without express permission. Those agents can then take the commission that comes with signing a new customer.
The original NPR and also the linked KFF articles are worth reading.
What if the RAID 5 gets encrypted with ransomware, how many backups are there?
As to how rationales go, this is the clearest.
I hate it.
True in a way. However, there is a rather large collection of speculation on the Internet that is quite an undertaking to correct. And a large population of people and bots willing to speculate. Also, having once been speculated, each speculation takes on a life of its own. If it gets much more substantial, forget Skynet, we’re busy creating Specunet and its sidekick Confusionet – an insidious duo.