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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.

Continue reading “GPT-4 Beats 90% Of Lawyers Trying To Pass The Bar” | >

Australian scientists have recreated a famous experiment and confirmed quantum physics’s bizarre predictions about the nature of reality, by proving that reality doesn’t actually exist until we measure it — at least, not on the very small scale.

That all sounds a little mind-meltingly complex, but the experiment poses a pretty simple question: if you have an object that can either act like a particle or a wave, at what point does that object ‘decide’?

Our general logic would assume that the object is either wave-like or particle-like by its very nature, and our measurements will have nothing to do with the answer. But quantum theory predicts that the result all depends on how the object is measured at the end of its journey. And that’s exactly what a team from the Australian National University has now found.

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TEMPO will study pollutants like asthma-inducing nitrogen dioxide and cancer-causing formaldehyde.

A new space instrument called TEMPO will target North America’s air pollution problem, and highlights one of its big challenges.

The Tropospheric Emissions: Monitoring Pollution instrument, or TEMPO, will gather pollution data across North America. On Tuesday, representatives from NASA and the Smithsonian Astrophysical Observatory (part of the Center for Astrophysics | Harvard and Smithsonian in Cambridge, Massachusetts) spoke about the soon-to-launch project, in an event held at the Smithsonian National Air and Space Museum in Washington, D.C.

Continue reading “NASA and Other Agencies Have a New Pollution Eye in the Sky” | >

Studying Our Ocean’s History To Understanding Its Future — Dr. Emily Osborne, PhD, Ocean Chemistry & Ecosystems Division, National Oceanic and Atmospheric Administration (NOAA)

Dr Emily Osborne, Ph.D. (https://www.aoml.noaa.gov/people/emily-osborne/) is a Research Scientist, in the Ocean Chemistry and Ecosystems Division, at the Atlantic Oceanographic and Meteorological Laboratory.

The Atlantic Oceanographic and Meteorological Laboratory (AOML), a federal research laboratory, is part of the National Oceanic and Atmospheric Administration’s (NOAA) Office of Oceanic and Atmospheric Research (OAR), located in Miami in the United States. AOML’s research spans tropical cyclone and hurricanes, coastal ecosystems, oceans and human health, climate studies, global carbon systems, and ocean observations. It is one of ten NOAA Research Laboratories.

Continue reading “Dr. Emily Osborne Ph.D. — Research Scientist — Ocean Chemistry and Ecosystems Division — NOAA/AOML” | >

😗 I am actually pretty happy about this because full automation will simply life rather than needing as much education the AI can do most of the work much like the star trek computer. Full automation will allow for more freedom even from common tasks allowing the AI to most of the thinking and tasks.

A senior developer tested GPT4 for programming. GPT4 gave the Terraform script code for a single instance of the Fargate API. GPT4 knows that the code will not scale to 10,000 requests per second. It then describes how to create an auto-scaling group and make the modifications to scale the code with AWS and configure the application load balancer.

NOTE: his prompt was way more detailed than an ordinary person would produce. An ordinary person would not be able to verify the results either. You can make the case for 10x or 100x programmer productivity. A senior developer can become a programming lead or manager guiding the AI prompt requests from the equivalent of multiple programming teams.

Continue reading “GPT4 Can Replace Jobs” | >