How AGI can conquer the world and what to do about it
We have seen many calls warning about the existential danger the human race faces from artificial general intelligence (AGI). Recent examples include the letter asking for a six month pause in the development of models more powerful than GPT-4 and Ian Hogarth’s FT article calling for a slow-down in the AI race. In brief, these assert that the phenomenal increase in the power and performance of AI systems we are witnessing raises the possibility that these systems will obsolete humanity. I’ve already argued that some of the arguments made are hypocritical, but that doesn’t mean that they are also vacuous. How credible is AGI’s threat and what should we do about it?
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The hypocritical call to pause giant AI
The recent open letter calling for a pause in giant AI experiments correctly identifies a number of risks associated with the development of AI, including job losses, misinformation, and loss of control. However, its call to pause some types of AI research for six months smacks of hypocrisy.
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AI deforests the knowledge’s ecosystem
Big-tech’s dash to incorporate ChatGPT-like interfaces into their search engines threatens the ecosystem of human knowledge with extinction. Knowledge development is a social activity. It starts with scientists publishing papers and books that build on earlier ones and with practitioners, journalists, and other writers disseminating these findings and their opinions in more accessible forms. It continues through specialized web sites, blogs, the Wikipedia, as well as discussion and Q&A forums. It further builds upon our interactions with these media through web site visits, upvotes, likes, comments, links, and citations. All these elements combined have yielded a rich global knowledge ecosystem that feeds on our interactions to promote the continuous development of useful and engaging content.
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Installing PyTorch on a Raspberry Pi-3B+ redux
This is an update to articles for installing the PyTorch machine learning library on a Raspberry Pi that have been published by Amrit Das in 2018 and Saparna Nair in 2019. It builds on them by updating the required settings and introducing a fix and a few tweaks to make the process run considerably faster. Although there are Python wheels floating around that offer PyTorch as a Raspberry Pi Python package, downloading them from unverified sources is a security risk. Here’s how to install PyTorch from source.
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