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Last week saw a plethora of new advances in AI, including the much-anticipated release of GPT-4.

Rarely, if ever, has more progress been witnessed in AI than what we are currently seeing. This is clearly an exceptional time for the field, with much hype and speculation around what the near future may bring.

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This project has been a huge labor of love, and it is due to the amazing open-source community that we have this technology available to us. We hope that by sharing our discoveries and techniques that we can help push this technology forward for everyone. If you want to dip your toes into this tech, there are many amazing online communities ready to help teach you, including ours!

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If it’s always been your dream to have the ability to live forever, you may be in luck as scientists believe we are just seven years away from achieving immortality. Futurist and computer scientist Ray Kurzweil has made predictions on when the human race will be able to live forever and when artificial intelligence (AI) will reach the singularity, and he believes it could be possible as early as 2030.

One of the oldest tools in computational physics — a 200-year-old mathematical technique known as Fourier analysis — can reveal crucial information about how a form of artificial intelligence called a deep neural network learns to perform tasks involving complex physics like climate and turbulence modeling, according to a new study.

The discovery by mechanical engineering researchers at Rice University is described in an open-access study published in the journal PNAS Nexus, a sister publication of the Proceedings of the National Academy of Sciences.

“This is the first rigorous framework to explain and guide the use of deep neural networks for complex dynamical systems such as climate,” said study corresponding author Pedram Hassanzadeh. “It could substantially accelerate the use of scientific deep learning in climate science, and lead to much more reliable climate change projections.”

The divide between low-budget and high-budget filmmaking just got a whole lot smaller with the unveiling of Wonder Studio, a new AI-powered tool that allows filmmakers to simply replace real-life actors with CGI characters.

The new tool was recently unveiled by Wonder Dynamics founders Nikola Todorovic, and Tye Sheridan, star of Steven Spielberg’s Ready Player One. The above video showcases the capabilities of Wonder Studio, where an amateur filmmaker can use their footage of an individual and replace them with a variety of different CGI characters.

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In 1997, IBM’s Deep Blue defeated the reigning world champion chess player, Garry Kasparov. In 2016, Google’s AlphaGo defeated one of the worlds top Go players in a five-game match. Today, OpenAI released GPT-4, which it claims beats 90% of humans who take the bar to become a lawyer, and 99% of students who compete in the Biology Olympiad, an international competition that tests the knowledge and skills of high school students in the field of biology.

In fact, it scores in the top ranks for at least 34 different tests of ability in fields as diverse as macroeconomics, writing, math, and — yes — vinology.

“GPT-4 exhibits human-level performance on the majority of these professional and academic exams,” says OpenAI.