Rucha (ऋचा)

New broadcasting guidelines for women's athletics have been released to crack down on camera angles and slow-motion replays that ‘sexualize’ athletes The guidelines highlight shots broadcasters are urged to avoid

Greta Thunberg’s 20-year-old younger sister, Beata MonaLisa Thunberg, is building a career as a self-trained singer, songwriter and dancer while deliberately distancing herself from her sister’s climate activism. Beata, who performs under the name Beata MonaLisa, said that she has danced since childhood and sung since age seven, but was bullied at school for performing and being outspoken. She is now completing a nine-song debut album she has worked on since she was 13, writing every song herself. She described the project as “pro-queer, anti-macho” and said it focuses on identity, women’s empowerment and personal freedom. When asked about Greta, she refused to discuss her sister’s activism, saying: “I’m not responsible for other people’s lives.” Beata also criticized male producers who try to control her sound, saying young, outspoken women are often viewed as provocative. She said she wants worldwide fame, but values having fans who genuinely understand her more than simply becoming famous.

I love it when a woman is lowkey fat but somehow still super hot. Just the perfect fat distribution.

when you really think about it, it’s kinda crazy the “consequences” people think are appropriate for people who don’t want to work. real open air gulag shit

One of the many properties that code has that makes it highly amenable to agents is that you can more or less quickly test it. You can either go see if the application works manually, or you can actually run a test on what you built. Most other areas of work don’t have this benefit. You only get the testing when the final product hits the real world in some capacity - a stock trade is executed, a contract is negotiated, a sales pitch is delivered, and so on. There’s probably going to be a whole new set of opportunities for how we begin to test the rest of work in this way. Ultimately it will mean more agents being layered into workflows. It also means we need much better evals on most of our workflows. Most work today in enterprises doesn’t have an associated eval to know if something broke or improved with a model, prompt, or system change. The enterprises that are able to eval their knowledge work the best also stand to gain the most from AI. Will become a critical aspect of agent adoption over time.