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Hoffman bought entry to the system final summer time and has since been writing up his ideas on the alternative ways the AI mannequin might be utilized in training, the humanities, the justice system, journalism, and extra. In the ebook, which incorporates copy-pasted extracts from his interactions with the system, he outlines his imaginative and prescient for the way forward for AI, makes use of GPT-4 as a writing assistant to get new concepts, and analyzes its solutions.
A fast ultimate phrase … GPT-4 is the cool new shiny toy of the second for the AI group. There’s no denying it’s a highly effective assistive know-how that may assist us give you concepts, condense textual content, clarify ideas, and automate mundane duties. That’s a welcome improvement, particularly for white-collar data staff.
However, it’s notable that OpenAI itself urges warning round use of the mannequin and warns that it poses a number of security dangers, together with infringing on privateness, fooling folks into pondering it’s human, and producing dangerous content material. It additionally has the potential for use for different dangerous behaviors we haven’t encountered but. So by all means, get excited, however let’s not be blinded by the hype. At the second, there may be nothing stopping folks from utilizing these highly effective new fashions to do dangerous issues, and nothing to carry them accountable in the event that they do.
Deeper Learning
Chinese tech big Baidu simply launched its reply to ChatGPT
So. Many. Chatbots. The newest participant to enter the AI chatbot sport is Chinese tech big Baidu. Late final week, Baidu unveiled a brand new massive language mannequin referred to as Ernie Bot, which may clear up math questions, write advertising and marketing copy, reply questions on Chinese literature, and generate multimedia responses.
A Chinese various: Ernie Bot (the title stands for “Enhanced Representation from kNowledge IntEgration;” its Chinese title is 文心一言, or Wenxin Yiyan) performs notably effectively on duties particular to Chinese tradition, like explaining a historic reality or writing a standard poem. Read extra from my colleague Zeyi Yang.
Even Deeper Learning
Language fashions might be able to “self-correct” biases—in the event you ask them to
Large language fashions are notorious for spewing poisonous biases, because of the reams of terrible human-produced content material they get skilled on. But if the fashions are massive sufficient, they are able to self-correct for a few of these biases. Remarkably, all we would must do is ask.