The race of the AI labs heats up
Every so often a new technology captures the world’s imagination. Regardless of the extent to which the generative AI models that underpin ChatGPT and its rivals actually transform business, culture and society, however, it is already transforming how the tech industry thinks about innovation and its engines—the corporate research labs which, like OpenAI and Google Research, are combining big tech’s processing power with the brain power of some of computer science’s brightest sparks. Amazon, whose AI powers its Alexa voice assistant, and Meta, which made waves recently when one of its models beat human players at “Diplomacy", a strategy board game, respectively produce two-thirds and four-fifths as much AI research as Stanford University, a bastion of computer-science eggheads. With the help of an engineer at Google, we asked ChatGPT, based on an OpenAI model called GPT-3.5, and Google’s yet-to-be launched chatbot, built upon one called LaMDA, a broad array of questions. That is one reason that Google made public big advances including the “transformer", a key building block in ai models, giving its rivals a leg-up.
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