Rosie the Riveter

Rosie the Riveter is an iconic symbol of female empowerment and the women's labor movement during World War II. The term "Rosie the Riveter" originally referred to a fictional character featured in a song of the same name, written by Redd Evans and John Jacob Loeb in 1942. The song was inspired by Rosalind P. Walter, a real-life munitions worker at the time.

The character Rosie the Riveter became widely associated with the millions of women who joined the workforce in factories and shipyards to support the war effort while men were away fighting. Rosie symbolized the women who took on traditionally male-dominated jobs and proved their capability and dedication to the war production. She represented the new image of women as strong, independent, and capable of performing demanding work.

One of the most famous visual representations of Rosie the Riveter is a poster created by J. Howard Miller in 1943. The poster features a woman wearing a blue work uniform, a red bandana, and flexing her arm with the slogan, "We Can Do It!" The image has since become an enduring symbol of female empowerment and feminism.

Rosie the Riveter represents the social and cultural shift that took place during World War II, highlighting the significant role women played in the war effort and the workforce. She continues to inspire and symbolize the strength and resilience of women in the face of challenges and the fight for gender equality.

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AI Technical Trustability Update

While working on an update to my RF Cafe Espresso Engineering Workbook project to add a couple calculators about FM sidebands (available soon). The good news is that AI provided excellent VBA code to generate a set of Bessel function plots. The bad news is when I asked for a table showing at which modulation indices sidebands 0 (carrier) through 5 vanish, none of the agents got it right. Some were really bad. The AI agents typically explain their reason and method correctly, then go on to produces bad results. Even after pointing out errors, subsequent results are still wrong. I do a lot of AI work and see this often, even with subscribing to professional versions. I ultimately generated the table myself. There is going to be a lot of inaccurate information out there based on unverified AI queries, so beware.

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