Researchers are ringing the alarm bells, warning that companies like OpenAI and Google are rapidly running out of human-written training data for their AI models.
And without new training data, it’s likely the models won’t be able to get any smarter, a point of reckoning for the burgeoning AI industry.
“There is a serious bottleneck here,” AI researcher Tamay Besiroglu, lead author of a new paper to be presented at a conference this summer, told the Associated Press. “If you start hitting those constraints about how much data you have, then you can’t really scale up your models efficiently anymore.”
Credits: Cyborg Civilizations. Episode 454a; July 7, 2024 Produced, Written \& Narrated by: Isaac Arthur. Graphics: Bryan Versteeg. Jeremy Jozwik. Music Courtesy of Epidemic Sound http://epidemicsound.com/creator. Select imagery/video supplied by Getty Images.
As part of the 2024 Prostate Cancer Patient Conference, Dr. Eric Small discusses systemic therapy treatment in advanced prostate cancer, including AR-targeted therapy. The presentation includes definitions of disease states, categories of treatment types, and standards in treatment selection. Recorded on 03/09/2024. [Show ID: 39768]
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For All Mankind is a sci-fi series set in an alternate history where the Space Race never ended. But what are some of the key technological and cultural changes of this timeline, and are they really more desirable than our history?
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The complexity of the melodies of the most popular songs each year in the U.S.—according to the Billboard year-end singles charts—has decreased since 1950, a study published in Scientific Reports suggests.
Madeline Hamilton and Marcus Pearce analyzed the most prominent melodies (usually the vocal melody) of songs that reached the top five positions of the US Billboard year-end singles music charts each year between 1950 and 2022. They found that the complexity of song rhythms and pitch arrangements decreased over this period as the average number of notes played per second increased. They also identified two significant decreases in melodic complexity that occurred in 1975 and 2000, along with a smaller decrease in 1996.
The authors speculate that the melodic changes that occurred in 1975 could represent the rise of genres such as new wave, disco and stadium rock. Those occurring in 1996 and 2000 could represent the rise of hip-hop or the adoption of digital audio workstations, which enabled the repeated playing of audio loops, they add.
