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Originally Posted by chezlaw
... The beef with cuepee is the idea that anyhting like every post will require being read by human and the measure of what sucess is. Will it be perfect - not close. Is perfection even a real thing in this context - No.....
That is not the real beef.
The real beef is what SM, or a forum like this, facing that mandate would be able to really do to change what reached their site, before moderation catches it.
If the current standard of after the fact, reactive moderation, which is the bulk of it, is not acceptable in a world with new laws and instead like a Newspaper editor the SM sites are expected to pre approve/edit every posti FIRST, they simply will not be able to do that, and nothing close to that.
The AI is not sufficient to come close to stopping it.
Only human moderation (1 mod for every 3 posters with a time delay) would suffice.
That is our beef. You think AI is 'good enough' that it could work well enough. I am saying it is not. Especially if bad actors then target a site like FB deliberately to get around the filters to purposely get them in trouble with the law.
The reason why we all still get these captcha's to access various articles or websites
is because the Big AI data collection companies are paying sites to require them so humans can identify the objects in the pictures and the AI (big data) can learn from us. it is reactive learning from hindsight analysis STILL.
Having AI capturing human language in a way that could intuit sarcasm, innuendo or out right replacement of words in a pig Latin type way, is far more easy to teach a 6 year old child than an AI currently. Having an AI solve 'driving' and be able to detect a road obstacle is far easier then solving language.
And solving language is one of the holy grails of AI and something that would be necessary to have AI pre read and effectively moderate content to pick out INTENT to prevent publication prior.
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ARTIFICIAL INTELLIGENCE
AI’s Language Problem
Machines that truly understand language would be incredibly useful. But we don’t know how to build them.
...Yet despite these impressive advances, one fundamental capability remains elusive: language. Systems like Siri and IBM’s Watson can follow simple spoken or typed commands and answer basic questions, but they can’t hold a conversation and have no real understanding of the words they use. If AI is to be truly transformative, this must change...
...At companies such as Google, Facebook, and Amazon, as well as at leading academic AI labs, researchers are attempting to finally solve that seemingly intractable problem, using some of the same AI tools—including deep learning—that are responsible for AlphaGo’s success and today’s AI revival. Whether they succeed will determine the scale and character of what is turning into an artificial-*intelligence revolution. It will help determine whether we have machines we can easily communicate with—machines that become an intimate part of our everyday life—or whether AI systems remain mysterious black boxes, even as they become more autonomous. “There’s no way you can have an AI system that’s humanlike that doesn’t have language at the heart of it,” says Josh Tenenbaum, a professor of cognitive science and computation at MIT. “It’s one of the most obvious things that set human intelligence apart.”...