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www.ovl.design | ||
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www.lesswrong.com
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| | | | | Comment by magfrump - Seconded. AI is good at approximate answers, and bad at failing gracefully. This makes it very hard to apply to some problems, or requires specialized knowledge/implementation that there isn't enough expertise or time for. | |
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dissidentvoice.org
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| | | | | As an intended outcome of neoliberal doctrine and a natural stage of capitalist development, global financialization constructs a borderless nexus of power in which debt and austerity fuels a cultural, political and economic landscape bound to enduring structures of domination, and creates unprecedented wealth through the accumulation of suffering. ***** According to economist Richard Wolff, | |
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www.wired.com
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| | | | | She was a star engineer who warned that messy AI can spread racism. Google brought her in. Then it forced her out. Can Big Tech take criticism from within? | |
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neuralnetworksanddeeplearning.com
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| | | [AI summary] The text provides an in-depth explanation of the backpropagation algorithm in neural networks. It starts by discussing the concept of how small changes in weights propagate through the network to affect the final cost, leading to the derivation of the partial derivatives required for gradient descent. The explanation includes a heuristic argument based on tracking the perturbation of weights through the network, resulting in a chain of partial derivatives. The text also touches on the historical context of how backpropagation was discovered, emphasizing the process of simplifying complex proofs and the role of using weighted inputs (z-values) as intermediate variables to streamline the derivation. Finally, it concludes with a citation and licens... | ||
