The quiz show scandals of the 1950s set in motion a new law that enforced rules for games of skill. But changing media consumption habits and expectations have made game shows a wild west once again.
You can check out the original Time magazine profile of Charles van Doren and his family — central figures in the quiz show scandals. And read George Brietigam’s paper about the FCC enforcement today.
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]]>In the above video, Vox senior producer Phil Edwards chronicles the history of the FDA’s regulation of over-the-counter medicines. That process is the reason that, despite decades of evidence that phenylephrine doesn’t work (especially in typical OTC doses), it has remained a readily available option for clogged-up consumers.
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]]>Fred Terman was key in building a technological hub in an area previously best known for its prunes. Thanks to his work developing Stanford Research Park, a new cycle of business innovation began and has continued to this day. Check out the video above for the whole story.
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]]>Los Alamos was more than a lab — it was a secret city, built for the express purpose of atomic development. Housing top scientists, their families, and support staff, this island of research led to a century-changing technological development.
Further Reading
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]]>The video above demonstrates the abridged workflow of the anonymous creator behind “Stelfie” — a time-traveling selfie-taker. The artist’s process involves custom 3D-generated heads, initial sketches, and extensive toggling between Photoshop and the AI program Stable Diffusion to achieve the ideal appearance.
Throughout this process, the artist employs typical AI art tools such as inpainting (modifying specific image areas), outpainting (extending beyond the frame), and denoising (controlling image alterations). AI art can be as labor-intensive as traditional art, but its distinct outcomes make the final product unique.
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Additionally, you can watch more about the ins, outs, and struggles of AI from language models like ChatGPT to AI used in the World Cup series. Watch the playlist on YouTube.
]]>The above video shows how researchers used TikTok dances and the Mannequin Challenge to train AI. The quest is for “ground truth” — real-world examples that can be used to train or grade an AI on its guesses. TikTok datasets provide this by showing lots of movement, clothing types, backgrounds, and people. That diversity is key to train a model that can handle the randomness of the real world.
The same thing happens with the Mannequin Challenge. All those people pretending to stand still gave researchers — and their models — more real-world data to train with than they ever could have hoped for.
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]]>It turns out that greenscreens, while imperfect, provide certain background separation benefits that are tough for AI to replicate due to the way it’s been trained and the limitations of available data. Preparation can help improve results, but, ultimately, AI tools will remain one in a suite of options rather than a greenscreen killer.
Further reading:
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]]>Researchers are looking into how that works — and how to possibly shift the balance from these “high resource” languages to ones that haven’t yet had a huge online footprint. We spoke to a few of the researchers who are trying to make languages like Catalan and Jamaican Patois more accessible to AI language models. Their approaches range from original dataset creation to studying the outputs of large language models to training open source alternatives.
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Why AI Art struggles with hands
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]]>Vox producer Phil Edwards is exploring five different aspects of AI that help explain everything from large language models to where unusual training data comes from.
In this first video, he digs into why AI art struggles with hands. The challenges range from the same ones that human artists face to those that are a unique result of how AI generative art is created. The road to improving these hands may not be as obvious as you’d think.
The text-to-image revolution, explained
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]]>In this video, he explains the things a trailer editor notices about trailers old and new, great and terrible, and somewhere in the middle. Starting with trailers from the ’60s, he gets all the way to the present while reviewing techniques like sound design, “rug pulls,” and how to hide fake blood. And if you feel the urge to complain that today’s trailers give too much of the plot away, Neil shows us how that’s not a brand-new trend.
For more videos on the film industry, check out Vox producer Ed Vega’s latest video on subtitles and why we all seem to need them now.
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