The move comes as a surprise, given that Musk was recently at the forefront of another movement that raised concerns about the development of AI.
billionaire businessman Elon Musk Some of the new purchases are reportedly in line with Twitter’s Artificial Intelligence (AI) project. according to a business insider reportsMusk is moving forward with his plans to build AI infrastructure for Twitter and has bought around 10,000 graphics processing units (GPU) to this effect. Interestingly, the move comes as a bit of a surprise, given that Musk was recently at the forefront of another movement that raised concerns about the development of AI in general.
Despite this, sources with inside information of the company have confirmed the purchase. But they also acknowledge that there seems to be some kind of urgency to the project. While they acknowledge it is still in its infancy, such large purchases often indicate that Musk is fully “committed” to the project, the sources said.
Does Elon Musk Have an AI Dilemma?
Recall that on March 18, Musk revealed on Twitter his plan to use AI to eliminate tampering activities. do Read in part:
“In the coming months, we will be using AI to detect and expose manipulation of public opinion on this platform.”
However, Musk has since signed an open letter putting the AI on hold for the time being. At the time, he shared the opinion with thousands of other technology researchers that AI technology poses a risk to humanity.
Elon Musk is also on record, calling on regulators to act fast before it’s too late to get AI research under control. This was at a 2017 event he attended with the United States National Governors Association.
Despite Musk’s reservations about the technology, Twitter has continued to hire experts in the AI field under his watch. For example, former DeepMind engineers Igor Babushkin and Manuel Crois jumped ship to join Musk’s team in March. And it might be worth noting that DeepMind is the AI research arm of Alphabet, the parent company of Google.
By all indications, Musk may not be very interested in AI. And with 10,000 more GPUs to use on the platform, it can tackle any potential compute power issues that large-scale AI models require.
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