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Hi guys. Happy Thursday!
An interesting story about a Google engineer that was shut down was published last weekend after publicly claiming that a company’s artificial intelligence (AI) was perceptual. Even if things get a little esoteric, these issues are at the core of some of our most important innovations and are worth discussing. However, before we get into the details, we need to set the level of conversation.
You need to know about chatbots, which are programs that simulate human conversation. People typically use chatbots either by typing or by conversation. You may have interacted with a chatbot when calling a bank or internet provider or booking a restaurant. Although their use is skyrocketing, many of these programs are relatively unsophisticated. It primarily serves as a dressed-up decision tree, where the next step in the conversation is determined by simple selection. (What can you help us today? Is there a problem with the service? Do you have a billing question? Please explain the problem briefly. We will do our best.) However, some chatbots are very sophisticated. And the story is very sophisticated. Referenced above is one such program.
In 2018, Google announced a new tool called LaMDA (Language Model for Interactive Applications). Here’s a Google description:
LaMDA conversation skills have been created over the years. Like many modern language models, including BERT and GPT-3, it is built on Transformer, an open source neural network architecture invented by Google Research in 2017. This architecture pays attention to how many words (sentences or, for example, paragraphs) relate to each other and predicts which word will come next.
Translation: LaMDA is trained with billions of words from across the internet and can understand how words relate to each other and arrange them to form new and consistent ideas. Very good at predicting. The company blog explains further:
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