A big part of being confident is being brave, and you can’t be brave unless you’re scared.
Louis-Victor-Emmanuel Sougez (1889 – 1972) was a French photographer born in Bordeaux, who enrolled at age 15 at the Ecole des Beaux-Arts de Bordeaux, where he studied art, but soon abandoned that to concentrate on photography. After the First World War, became a freelance photographer, based in Paris.
In 1926, Sougez founded the photographic department for the French weekly newspaper, L’Illustration, and promoted the use of colour photography. Some of Sougez’s work is in the permanent collection of the Art Institute of Chicago.
More Boomers are choosing not to retire. Why? They don’t want to
Ross Gittins
Economics EditorAs the great bulge of babies born after World War II have moved through the life course, the world has changed to suit them and their needs. But just as the latest generations of Zoomers and Millennials have begun to outnumber the Baby Boomers, and are taking over as the politically dominant age group, the Boomers have caused one last change: retirement has become more a matter of personal preference, with many choosing to keep working
Found via Gods and Foolish Grandeur.Discover more of his work
Dokodemo Sento is a website about sento (bath houses) in japan
Damn Interesting celebrates its 20th birthday. “In 2005, YouTube, reddit, and Facebook were all still wet and screaming infants.”
Wo-men Q & A
At Radio Prague International Ian Willoughby has a lengthy Q & A with Barbora Baronová, the “punk” publisher putting art before financial stability -- founder of Czech publisher wo-men.
Among her responses:
To tell you the truth, I never wanted to be a publisher. It’s just one big mistake. But I’m successful in what I do so I keep doing it
ABA women trailblazers project announces Justice Ruth Bader Ginsburg oral history
“The American Bar Association Women Trailblazers in the Law Project todayannounced the release of the oral history of U.S. Supreme Court Associate Justice Ruth Bader Ginsburg, the second woman to be appointed to the Supreme Court.
Librarians Are Being Asked to Find AI-Hallucinated Books
404 Media: “Reference librarian Eddie Kristan said lenders at the library where he works have been asking him to find books that don’t exist without realizing they were hallucinated by AI ever since the release of GPT-3.5 in late 2022.
But the problem escalated over the summer after fielding patron requests for the same fake book titles from real authors—the consequences of an AI-generated summer reading list circulated in special editions of the Chicago Sun-Times and The Philadelphia Inquirer earlier this year. At the time, the freelancer told 404 Media he used AI to produce the list without fact checking outputs before syndication. “We had people coming into the library and asking for those authors,” Kristan told 404 Media.
He’s receiving similar requests for other types of media that don’t exist because they’ve been hallucinated by other AI-powered features. “It’s really, really frustrating, and it’s really setting us back as far as the community’s info literacy.” AI tools are changing the nature of how patrons treat librarians, both online and IRL.
Alison Macrina, executive director of Library Freedom Project, told 404 Media early results from a recent survey of emerging trends in how AI tools are impacting libraries indicate that patrons are growing more trusting of their preferred generative AI tool or product, and the veracity of the outputs they receive. She said librarians report being treated like robots over library reference chat, and patrons getting defensive over the veracity of recommendations they’ve received from an AI-powered chatbot. Essentially, like more people trust their preferred LLM over their human librarian.
I tested AI tools on data analysis here’s how they did (and what to look out for)
Online Journalism: “TL;DR: If you understand code, or would like to understand code, genAI tools can be a useful tool for data analysis — but results depend heavily on the context you provide, and the likelihood of flawed calculations mean code needs checking.
If you don’t understand code (and don’t want to) — don’t do data analysis with AI. ChatGPT used to be notoriously bad at maths. Then it got worseat maths. And the recent launch of its newest model, GPT-5, showed that it’s still bad at maths. So when it comes to using AI for data analysis, it’s going to mess up, right? Well, it turns out that the answer isn’t that simple.
And the reason why it’s not simple is important to explain up front. Generative AI tools like ChatGPT are not calculators. They use languagemodels to predict a sequence of words based on examples from its training data. But over the last two years AI platforms have added the ability to generate and run code (mainly Python) in response to a question. This means that, for some questions, they will try to predict the code that a human would probably write to solve your question — and then run that code. When it comes to data analysis, this has two major implications:
- Responses to data analysis questions are often (but not always) the result of calculations, rather than a predicted sequence of words. The algorithm generates code, runs that code to calculate a result, then incorporates that result into a sentence.
- Because we can see the code that performed the calculations, it is possible to check how those results were arrived at…”
