As tech giants around the world work to materialize the idea of having a generator artificial intelligence (AI) to help humans in their daily lives, the risk of nascent technology going rogue remains imminent. Considering this possibility, Tesla and the head of Twitter Elon Musk reminded people of the potential of AI to destroy civilization.
March 15th, Musk's plan to create a new AI startup it came about after the businessman reportedly assembled a team of AI researchers and engineers. However, Musk continues to highlight the destructive potential of AI, just like any other technology, if it falls into the wrong hands or is developed with malicious intent.
Anyone who thinks this risk is 0% is an idiot.
— Elon Musk (@elonmusk) April 15, 2023
According to Musk, AI can be dangerous. In an interview with FOX, he said that AI can be more dangerous than mismanaged aircraft design or production maintenance, for example. While he acknowledged the low probability, he stated:
"Small as it is, you can consider that probability, but it's not trivial: it has the potential to destroy civilization."
When Crypto Twitter picked up the discussion, Musk followed up with strong support for his statement:
"Anyone who thinks this risk is 0% is an idiot."
On the other hand, tech entrepreneurs like Bill Gates continue to be more optimistic about AI and the positive impacts it can bring to humanity.
Related: Elon Musk reportedly buys thousands of GPUs for Twitter's AI project
On April 13, Amazon became the latest tech giant to join the race to create AI services. Amazon Bedrock enables users to build and scale generative AI applications.
Create and scale your #IAGenerative applications with Amazon Bedrock. ☁️
Learn how access to the leading building blocks makes it easy to build apps quickly while keeping your data private and secure.
https://t.co/mjYtDgC6No #AWS #machine learning pic.twitter.com/9xYGfTJILs
—Amazon Web Services (@awscloud) April 13, 2023
According to a blog post announcing the service, Bedrock allows users to "privately customize the base models with their own data, and easily integrate and deploy them into their applications."
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