order-matters
there is almost certainly an easier way to fix the problems people are having by making adjustments to the current banking systems, including support for the growth of different banks that simply act more ethically.
no one answers their phone now, and as such legitimate businesses rarely do cold calls as a main lead. they find you online instead. they buy data to figure out your email and habits. etc.
once the public internet becomes unbearable they will adapt. i dont know how and if i did i wouldnt give them the idea without working for it, but all the effort put into manipulating social media sites will absoutely go somewhere else once those sites dry up from real human signals
too often the work involved in taking it to an organization level is written off by the doners, and / or taken advantage of by the org. but renting a building and hiring people to take calls, perform accounting, etc has real cost that cuts into donations but it is also an area of job creation. Those jobs created, imo, are incredibly important and when they are given to people in the donating country it turns into mostly just economic activity in the doner country run on donations with just whatever amount is leftover going to the actual aid. of which, without any outright corruption, people are always eager to spend that money to make the organization side of things better.. or invest it into the organization under the guise (genuine or not) of scaling the organization such that donating a bit less today leads to more donations tomorrow. and then it becomes like any other business mostly running on debt and the actual donations are like a material cost that is constantly pressured to be cut down to pay back debts
After observing the emergent behavior, we can often then incorporate it into the model by breaking up prior consolidations into more parts, but the fundamental problem still remains. This makes models for things that arent part of a relatively rapid feedback loop for model improvement (like climate change) to be very vulnerable unknowns. thats not to say they are completely useless, but it can very much take away the weight behind any specificity of the models results, and should open up a second conversation about the direction in which the model might be expected to fail.
Additionally, when creating models that involve human behavior you can appeal to game theory, psychology, sociology, statistics, etc but ultimately chaos will be in full force. now with AI it is going to become a factor amongst automation as well in a way it previously was not. there is no practical way to model how the weights of neural networks might act unexpectedly in various contexts.
all this to say models are not often that great at giving useful predictions as much as they are great at building foundations of understanding of relationships in complex/complicated and what "clean" situations might look like, which can then be taken into consideration of what reality is likely to look like and happen. this distinction is important because currently, automation tools and AI lack that final chaotic adjustment that astute humans are able to apply. Ai has gotten very good at making complicated models but it ultimately is, by design imo whether intentional or not, limited in the same way models themselves are.
that final adjustment to make real world decisions and have personal accountability is more rooted in beliefs/feelings than it is in model outputs, albeit the model outputs help to refine it.
as for a basis for this theory, i think being a good person is harder than a bad person (in laymans terms). therefor the long history of evolution of good and bad people together has had a greater competitive pressure on good people than bad ones thus forging 'stronger' people under that pressure. in practical everyday circumstances good people are bearing more on their mind and so there is a sort of competitive equity between the two groups, which is related to why good people had to evolve 'stronger' to keep up with that equity.
so in an even playing ground where raw skill is needed, i think the most skilled will usually be people coming from a long line of higher moral standards. the tactical advantages of psychopathy are, however, always a curveball
I dont really like this direction but it is what it is right now
this is exactly what I meant. I am presuming the danger is AI reacting to personal notes that it reads on your computer, like a diary, and you should not allow the tools to have access to those documents.
Any failure to understand what it can access or what it has permission to see from the user's end is presumably not their problem. Regardless of what the user specifically asks of the tool.
sandbox your ai.
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Sports are an organized place we have developed as an environment for us to express our most basic and stupid instincts rather than repress them.
As with many environments, opportunists try to find ways to exploit it for self serving interests. People enjoy gambling, for example, and that leads to exploiters trying to rig the odds.
Since there is a lot of money involved, it is unsurprising that the control and organization of sports would be sought after by powers but ultimately the audience puts much more faith in the players to have an honest desire to compete than they do the establishments organizing the games to be well intentioned. And gambling is the release valve, where if you believe it to be rigged a certain way then you can bet on it so it can never be too obvious if it's happening
it is noticeable that the form of this particular error holds a similar shape to what is casually described as hallucinations, in that there is a generated content that often appears to blend naturally into the rest of the output but is false.
the term hallucination often invokes a caution that this particular type of error may be influential and believable and is particularly dangerous
Make no mistake, this is not some sophisticated conspiracy. This is pure laziness and abuse of power. They have been using "domestic terrorist" as a button to slap anytime they dont want to be questioned. the phrase no longer means anything besides "this person questioned authority"
ICE has used it to label people they shot for videoing them. Note that they knew the video evidence existed and labelled them anyway, assuming they would be able to avoid court altogether and prevent the video evidence being seen. In at least one case, this didnt work and the victim was correctly identified as such.
So this isnt hypothetical. It is a playbook being used right now, and people are testing the waters for how much they can get away with.
The average person, especially the below average person, is better off trusting others than their own judgement - since most people know more than them.
You need to talk to your cousin. No one else is going to.
<AI is a great tool for many things disclaimer, but> after working with it for a bit, how dont people realize we are training it to be an almost identical mimic to one of the worst types of employees youll ever have to work with?? the kind that always pretends to know what theyre talking about, only tells you what you want to hear, hides issues, and only does work if you would notice it didnt
you cannot give this type of worker autonomy over anything.
though i would be hopeful for bird audio, as differentiating their calls is something the birds themselves excel at, so it could very well be a great usecase for ai