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Earlier this year, scientists completed the first transmission of energy from space to earth, potentially revolutionizing carbon-free energy. The scientists behind the incredible achievement explain the process. Jeff Glor reports.

“CBS Saturday Morning” co-hosts Jeff Glor, Michelle Miller and Dana Jacobson deliver two hours of original reporting and breaking news, as well as profiles of leading figures in culture and the arts. Watch “CBS Saturday Morning” at 7 a.m. ET on CBS and 8 a.m. ET on the CBS News app.

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Stevens’ School of Systems and Enterprises (SSE) held a reception at Northrop Grumman’s Space Systems headquarters in Dulles, Va., to congratulate its 21 employees who received their Master of Engineering in Space Systems Engineering through the SSE Corporate Education program.

SSE’s Dr. Wiley Larson was able to congratulate the cohort of graduates, and Marcos Stephens, director, technical staff development for NGC Space Systems, served as the program emcee. Stephens and Carol Ruiz, director, online and corporate engagement for SSE, planned the event with the assistance of Julie Godby, executive assistant at NGC. The School of Systems and Enterprises has partnered with Northrup Grumman since 2006 and is excited to be engaged with their Space Systems segment.

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Summary: Artificial Intelligence (AI), specifically GPT-4, was found to match the top 1% of human thinkers on a standard creativity test. The AI application ChatGPT, developed using GPT-4, excelled in fluency and originality in the Torrance Tests of Creative Thinking, a widely recognized tool for assessing creativity.

This breakthrough finding indicates that AI may be developing creative ability on par with or even surpassing human capabilities. Dr. Erik Guzik, the lead researcher, anticipates that AI, with its rapidly evolving advancements, will become a key tool for business innovation and entrepreneurship.

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Elon Musk has again decided to share a timeline about Tesla’s self-driving effort – again claiming it will achieve “full self-driving” by the end of the year.

But this time, the CEO has mentioned “level 4 or 5” self-driving. However, it’s not clear if he knows what that means.

Over the years, Musk has claimed that Tesla was on the verge of achieving “full self-driving capability” so often that it is hard to believe him now.

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Dog and cat linguists rejoice we can talk to them and understand them with lots of apps and other devices in this article 😀 😊 😄 😉.

All dog owners have wished there was such a thing as a translator for their dog. The movie Up brings this concept to life with a collar that translates everything the dog says. But does a dog translator exist in real life? We might not have flying cars yet in the 21st century, but dog translators do exist.

There’s no longer a need to guess everything your dog is saying when you can buy dog translator collars, buttons, neural devices, and apps to help you translate what your dog wants to say.

I know that my dog wants to go outside if she shakes her collar or sneezes and that it’s an urgent need if she barks in a certain way. But, I don’t always get it right. Does she want me to follow her? Is Little Timmy down the well?

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Touring, a type of riding that involves long distance trips, has long been the achilles heel of electric motorcycles. While e-motos have developed to the point where they can beat combustion engine motorcycles in nearly every other metric, quick recharging required for long distance riding has yet to reach parity with a gas station fill-up. At least, that was until Lightning Motorcycle debuted what it says is the fastest charging electric motorcycle yet.

Lightning Motorcycles, the Southern California-based boutique e-motorcycle manufacturer, claims that its new fast-charging electric motorcycle can recharge nearly as fast as a combustion engine motorcycle can refuel its tank.

Previously, the quickest DC fast-charging electric motorcycles like the models from Energica or Harley-Davidson’s LiveWire One boasted a recharge time of around 30 minutes for a nearly topped-up battery.

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AI is overwhelming the internet’s capacity for scale.

The problem, in extremely broad strokes, is this. Years ago, the web used to be a place where individuals made things. They made homepages, forums, and mailing lists, and a small bit of money with it. Then companies decided they could do things better. They created slick and feature-rich platforms and threw their doors open for anyone to join. They put boxes in front of us, and we filled those boxes with text and images, and people came to see the content of those boxes. The companies chased scale, because once enough people gather anywhere, there’s usually a way to make money off them. But AI changes these assumptions.

Given money and compute, AI systems — particularly the generative models currently in vogue — scale effortlessly. They produce text and images in abundance, and soon, music and video, too. Their output can potentially overrun or outcompete the platforms we rely on for news, information, and entertainment. But the quality of these systems is often poor, and they’re built in a way that is parasitical on the web today. These models are trained on strata of data laid down during the last web-age, which they recreate imperfectly. Companies scrape information from the open web and refine it into machine-generated content that’s cheap to generate but less reliable. This product then competes for attention with the platforms and people that came before them. Sites and users are reckoning with these changes, trying to decide how to adapt and if they even can.

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NASA’s Juno spacecraft recently captured this spooky green flash of lightning in a massive storm swirling near Jupiter’s north pole.

The tremendous burst of lightning glows bright against the dark gray vortex of the storm, even from Juno’s vantage point 19,900 miles above the tops of Jupiter’s clouds. Lightning often flashes between the clouds of stormy Jupiter’s higher latitudes, especially in the north. NASA’s Juno spacecraft is helping shed light on the gas giant’s wild alien weather.

Citizen scientist Kevin M. Gill processed the image from Juno’s raw data.

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