Forwarded from Андрій Закревський Channel (andrey zakrevskij)
Масовий наплив медуз на насосні станції АЕС «Гравлін» на півночі Франції призвів до зупинки блоків 2, 3 та 4 і зниження потужності на блоці 1 – усіх реакторів з водою під тиском потужністю 900 МВт. Тільки блок 6 працює на повну потужність, а блок 5 закрито на планове технічне обслуговування. Медузи складаються переважно з восьминога Rhizostoma (широко відомого як бочкоподібна медуза, яка зазвичай виростає від 10 до 40 см у діаметрі.
https://www.neimagazine.com/news/jellyfish-trigger-shutdown-at-gravelines/
https://www.neimagazine.com/news/jellyfish-trigger-shutdown-at-gravelines/
Nuclear Engineering International
Jellyfish trigger shutdown at Gravelines - Nuclear Engineering International
An influx of jellyfish has forced EDF to shut units 2, 3 and 4 at the Gravelines nuclear power plant in northern France and reduce output at unit 1.
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Forwarded from HN Best Comments
Re: Understanding is the new bottleneck
I think it funny how much average engineers are beginning to discover the challenges of engineering leadership and program management. This has always been the bottleneck.
It's why managers and PMs want to be in standup. It's why slack exists and engineers are constantly being poked on it. It's why execs always talk about not getting too far away from the work. It's how seagull management happens. It's why program management is a job.
All those behaviors engineers hated about their bosses that kept them away from being focused on the code...they're starting to feel what it's like on the other side and reinventing the solutions instead of just reading a book about engineering management. Maybe we'll rebrand program management to "understanding ops" or something.
I wonder what AI would say about us if given the tokens to complain.
madrox, 13 hours ago
I think it funny how much average engineers are beginning to discover the challenges of engineering leadership and program management. This has always been the bottleneck.
It's why managers and PMs want to be in standup. It's why slack exists and engineers are constantly being poked on it. It's why execs always talk about not getting too far away from the work. It's how seagull management happens. It's why program management is a job.
All those behaviors engineers hated about their bosses that kept them away from being focused on the code...they're starting to feel what it's like on the other side and reinventing the solutions instead of just reading a book about engineering management. Maybe we'll rebrand program management to "understanding ops" or something.
I wonder what AI would say about us if given the tokens to complain.
madrox, 13 hours ago
😁11
Forwarded from Датаборд
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Найдорожча гра у Steam за 43 967₴
Це Congratulations On Your Purchase, і в цій грі нема ігроладу, а лише червоний килимок і можливість залишити свій автограф на стіні серед покупців цієї гри, який буде видно всім іншим, хто зайде у гру.
Оце комусь може бути нікуди гроші дівати...🙃
Це Congratulations On Your Purchase, і в цій грі нема ігроладу, а лише червоний килимок і можливість залишити свій автограф на стіні серед покупців цієї гри, який буде видно всім іншим, хто зайде у гру.
Оце комусь може бути нікуди гроші дівати...
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🗿6
Forwarded from HN Best Comments
Re: Anthropic's 'watermark' text adulteration in Claude is a perversion of writing
My biggest concern is that checking any text for watermarks requires sending the entire text to Anthropic. And even that is not sufficient, as the text might have been generated with ChatGPT, Gemini, Grok, Mistral, ...
So every check requires sending the text to as many AI providers as offer a watermarking detection API, almost all of which have a very dubious track history with obtaining training data through illicit means.
Any university using AI detection in their submission pipeline, or lawyers, editorialists, proofreaders that check for AI marks will be sending significant amounts of text like unpublished research, books, potentially internal documents and more, most of which is high quality human written, to dozens of AI companies, blindly trusting they won't train on any of that.
ghrl, 3 hours ago
My biggest concern is that checking any text for watermarks requires sending the entire text to Anthropic. And even that is not sufficient, as the text might have been generated with ChatGPT, Gemini, Grok, Mistral, ...
So every check requires sending the text to as many AI providers as offer a watermarking detection API, almost all of which have a very dubious track history with obtaining training data through illicit means.
Any university using AI detection in their submission pipeline, or lawyers, editorialists, proofreaders that check for AI marks will be sending significant amounts of text like unpublished research, books, potentially internal documents and more, most of which is high quality human written, to dozens of AI companies, blindly trusting they won't train on any of that.
ghrl, 3 hours ago
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