Everything you should know about World AI Vs Elon Musk

Know why Elon Musk thinks Artificial Intelligence will threaten humanity in the long run?

It’s been a few years now the founder of Tesla and SpaceX, Elon Musk has often warned about the potentiality of AI. Back in 2019 in the World AI Conference, he spoke about the dearth of caution and accountability in robotics research and operations. Also expressed his concerns that the world is underestimating the evolving AI capabilities and its advancement that could take over the world one day.

How did the world react to Elon Musk’s comment on AI?

Moreover, on various occasions, he stated that he feels artificial intelligence as a human’s biggest existential threat, and to have AI around is like living inside a computer simulation. Apart from that, he claimed that he invested in Google’s Deepmind Technolo gy for addressing issues of Terminator-like situations that might give birth to ongoing research.

Today multiple Artificial Intelligence researchers from various companies have stated that Elon Musk’s comments are inappropriate and have requested the public not to take his views on AI very seriously. They have even claimed that the smartest computers can only excel when the selection of tasks is narrowed down and there is a long way to go before a human level is achieved.

An AI executive who wishes to remain anonymous also stated that Elon Musk’s take on AI is a huge negative distraction on the AI community. He also stated that Musk is a sensationalist and he likes to openly worry about the downside risk of the technology and then hyping the agenda. Though his actual accomplishments are acknowledged, his negative remarks had led to the public worrying about the unrealistic understanding of the state of AI maturity.

For instance, an AI scientist who has expertise in speech recognition has expressed his view on Musk’s comment saying that he has not always looked upon AI favorably. He brings in extraordinary things that leave the public in worry. Hence, he wonders what he is doing or if it is just a trick to bring innovative stuff to the market.

Why invest in AI Technologies?

Artificial Intelligence Technology is a cutting-edge technology that aims at mimicking human intelligence in two machines. Machine learning is another subset of the trained machines to learn and adapt and compute based on the experience of the predefined set of rules. The field of artificial intelligence and machine learning has experienced many setbacks as well as groundbreaking advancements during the last decade. Hence the question arises why brands should invest in Artificial Intelligence Technologies.

• AI reduces the employee work pressure

Now with AI-equipped Technologies brands can successfully function as chatbots for customer support agents which could lower the work of the employees. And other employees could concentrate on other tasks which need more creativity and absolute human presence.

• AI helps in decision making

Yah can not only help you with analysis but if well trained can also help you in making decisions. From the past inside it can come up with innovative results and let you take decisions seamlessly.

• AI can help in appropriate market analysis

Artificial Intelligence can be used for displaying data or information with a narrow downrange of products if trained artificial intelligence systems can effectively monitor the price variations in real-time and revisions of the community according to the demand.

• AI helps in maintaining the Inventory

Inventory maintenance can be tiresome at times and as well as time taking this is why and I could be the best fit for this category. And simple AI and machine learning systems could be programmed and can effectively handle the business processes with minimum or almost no human intervention.

The relationship between dates several years back although he has pulled a successful AI start-up. Also, he’s one of the first investors in Britain’s DeepMind which is one of the world’s leading AI Labs. Hence, AI technologies are worth investing in.

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Originally published at https://www.datalabeler.com on December 13, 2021.