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A professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc for Out-of-distribution detection, robustness, and generalization - GitHub - continuousml/Awesome-Out-Of-Distribution-Detection: A professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc for Out-of-distribution detection, robustness, and generalization

Noah tension to that man behind the curtain. whats behind the curtain of a.i.? the cost of the human labor it took to produce the training data. generative a.i. cannot generate anything at all without first being trained on massive troves of data then recombines. who produces that training data? people do. and most people deserve residuals. for example, lets say in the way i could deliver a complete feature film at the click of a button. some industry insiders think this could actually happen pr...

Im very excited. >> yeah, yeah. well, were here to add to your resume. look, you are asking, basically, for ai to basically -- or not ai but the companies behind ai to pay the people behind all of the content that they put into this algorithm. who do you think should be paid for their work. and how would any of this work? >> yeah. how would it work? it would be a tall order. so the way these ai models work is they feed them a ton of training data, right? we herd of generative ai models, the chat...

Chatbots, et cetera. they cant actually generate anything until theyve been fed all of this training data. and that training data is produced by humans. >> right. >> so, the humans who produce that training data, i think, deserve compensation. its kind of a simple as that -- >> but its not just actors and directors, but kind of the camera people, camera folks as well, and who else? >> i think so, because, you know, eventually, theyre saying, and i think its probably true, i dont know exactly how...

At Readmagine, Gutenberg University's Christoph Bläsi examined several issues driving the artificial intelligence controversy in publishing.

Meta launched a big new AI model called Llama 2 on Tuesday. The company didn't disclose what data it used to train the model, unlike the first LLaMA.

More control over to automated systems because they are just faster and better than us — and then every so often something goes wrong, a bit like the financial crisis. sure, i think thats a legitimate concern. its really important to recognise that these systems are fallible. they are not purveyors of the truth, they are not omnipotent, they are not gods, right? they are just as good as the training data and as it turns out, you can already see with chatgpt, they have this propensity to lie, t...

Be fundamentally different. now there is this debate going on about, is this going to augment us or is it going to automate us? ultimately i think it will become a very political issue, because it will be both. and the really interesting thing is that this is true now for the first time for white—collar work. do you think there actually is a worry that we are giving more control over to automated systems because they are just faster and better than us — and then every so often something goes...

For white—collar work. do you think there actually is a worry that we are giving more control over to automated systems because they are just faster and better than us — and then every so often something goes wrong, a bit like the financial crisis. sure, i think thats a legitimate concern. its really important to recognise that these systems are fallible. they are not purveyors of the truth, they are not omnipotent, they are not gods, right? they are just as good as the training data and as ...

Control over to automated systems because they are just faster and better than us — and then every so often something goes wrong, a bit like the financial crisis. sure, i think thats a legitimate concern. its really important to recognise that these systems are fallible. they are not purveyors of the truth, they are not omnipotent, they are not gods, right? they are just as good as the training data and as it turns out, you can already see with chatgpt, they have this propensity to lie, to hal...