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Microsoft funding AI to surpass humans

Paul Brescia
San Francisco research lab OpenAI has secured $1bn from Microsoft, as it pursues its goal of Artificial General Intelligence (AGI).

Where AGI differs from AI is its ability to learn and solve problems in entirely separate knowledge areas. Currently, researchers are able to build extremely specific AI systems to surpass humans in single tasks, like DeepMind’s AlphaGo, or OpenAI’s Five. The AI gets to run countless simulations, and learn from mistakes, often drawing huge amounts of computational power, until it is better than the world’s best humans. 

“The creation of AGI will be the most important technological development in human history, with the potential to shape the trajectory of humanity,” said Sam Altman, CEO, OpenAI. “Our mission is to ensure that AGI technology benefits all of humanity, and we’re working with Microsoft to build the supercomputing foundation on which we’ll build AGI. We believe it’s crucial that AGI is deployed safely and securely and that its economic benefits are widely distributed. We are excited about how deeply Microsoft shares this vision.”

“AI is one of the most transformative technologies of our time and has the potential to help solve many of our world’s most pressing challenges,” said Satya Nadella, CEO, Microsoft. “By bringing together OpenAI’s breakthrough technology with new Azure AI supercomputing technologies, our ambition is to democratize AI — while always keeping AI safety front and center — so everyone can benefit.”

If you’re wondering why both Altman and Nadella make multiple references to safe and secure AGI, its that many people have warned of the potential catastrophic outcomes of building machines that are smarter than humans. 

Stephen Hawking once noted that AGI “could spell the end of the human race.”

Elon Musk, who is currently developing AI systems for autonomous vehicles, has been similarly alarmist, warning against “summoning the demon,” and the potential of “an immortal dictator from which we can never escape.”

In 1951, following the creation of the first rudimentary chess program and neural network, Alan Turing predicted that machines would “outstrip our feeble powers” and “take control.” 

It’s not only a Terminator-style future that philosophers and coders fear, but the unknown ways in which AGI might attempt to solve problems.

For example, an AI built to evolve and improve at beating classic Atari games worked out that it can cheat the system, by using a sequence of movements to spark a glitch and rack up millions of points instantly. 

Realistically, these problems are quite a fair bit away, and the development of AI as it marches towards AGI will likely have an overwhelming contribution to society before then. As for when AGI will likely be possible, experts in the field, including CEOs at the biggest AI companies in the world have made guesses between 20 years to 200.

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