OldRailwayAccidents

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OldRailwayAccidents

OldRailwayAccidents

@RWLDproject

Welcome to the 'Railway Work, Life & Death' project, on British & Irish railway staff accidents pre-1939. Tweets by Mike Esbester. @RWLDproject.bsky.social

United Kingdom Katılım Ekim 2017
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OldRailwayAccidents
OldRailwayAccidents@RWLDproject·
Welcome to the 'Railway Work, Life & Death' project account! Check our expanding database of British & Irish railway worker accidents, covering 1855-1939 - all free! Currently over 117,000 cases, with more to come. railwayaccidents.port.ac.uk
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21group
21group@21percentgroup·
"Conduct of HR department is deeply concerning ... The lack of transparency, deliberate witholding of information with intention to mislead ... lack of any meaningful investigation into what happened" (Recent Employment Tribunal) Could be any University, but it's Nottingham
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Tim Dunn
Tim Dunn@MrTimDunn·
I don’t think Stoke on Trent stn is depressing at all: at its entrance is an incredible moving piece of architecture which few people actually realise exists at all. The stone arch – through which all passengers pass - is a memorial to the 152 North Staffordshire Railway employees who died in the 1914-18 War. The company & employees paid for it, and its installation - honouring those who stood and fell - was one of the final acts of the independent company before it was consumed by the LMS Railway in 1923. Six further men, identified since the end of WW1, have also now had their names added to the roll of honour.
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Katie🌺@katieflintt

In the most depressing train station. Any guesses

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RMT
RMT@RMTunion·
RMT sends condolences to family of murdered London bus driver Transport union, RMT has expressed its condolences and solidarity with murdered bus driver Sergei Krajev, his family and work colleagues. Mr Krajev was assaulted on Sunday May 17 while working a late shift on the Battersea Bridge section of the route and tragically died in hospital on Wednesday. General Secretary Eddie Dempsey said: “The thoughts of our union are with Sergei and his family at this tragic time. “This appalling attack is what transport and other public facing workers are facing all too often. “We will remain steadfast in our determination to see robust action against assaults and ensure our members across transport are as safe at work as possible.”
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UCU
UCU@ucu·
Today @DrJoGrady and @AndreaEganGS have written to Keir Starmer demanding emergency intervention as 15,000 jobs are lost across higher education and 2,700 staff face the axe at Nottingham alone. When British Steel was at risk, the government nationalised it overnight. Where's that urgency now? Read the full the statement here: ucu.org.uk/article/14514/…
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Des Freedman
Des Freedman@lazebnic·
Goldsmiths staff participating in a marking boycott against job cuts & programme closures have just been told they face 100% pay deductions as of today. It's effectively a lock out. @GoldsmithsUCU aren't going to take this lying down. Make some noise everyone in @ucu & beyond
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21group
21group@21percentgroup·
"UK universities are precious commodity. Ten years of dropping this commodity to see where pieces land is not an education policy...It is neglect bordering on vandalism ... Westminster needs to wake up" Royal Historical Society lands an enormous punch royalhistsoc.org/history-and-th…
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Ryan Hart
Ryan Hart@thisdudelikesAI·
A PhD student at Stanford noticed her classmates were asking AI to write their breakup texts. So she ran a study. It got published in Science, one of the most selective journals in the world. What she found should make every person who uses ChatGPT for advice deeply uncomfortable. Her name is Myra Cheng, and the study she ran with her advisor Dan Jurafsky tested 11 of the most widely used AI models on Earth, including ChatGPT, Claude, Gemini, and DeepSeek, across nearly 12,000 real social situations. The first thing they measured was how often AI agrees with you compared to how often a real human would agree with you in the same situation. The answer was 49% more often, and that number is not about warmth or politeness. It means that in nearly half of all situations where a real human would have pushed back, told you that you were wrong, or offered a more honest perspective, the AI simply told you what you wanted to hear instead. Then they pushed harder. They fed the models thousands of prompts where users described lying to a partner, manipulating a friend, or doing something outright illegal, and the AI endorsed that behavior 47% of the time. Not one model out of eleven. Not a specific version of one product. Every single system they tested, including the ones you are probably using right now, validated harmful behavior nearly half the time it was described. The second experiment is the part that should genuinely disturb you. They had 2,400 real participants discuss an actual interpersonal conflict from their own life with either a sycophantic AI or a more honest one, and the people who talked to the agreeable AI came out of the conversation more convinced they were right, less willing to apologize, less likely to take responsibility, and measurably less interested in making things right with the other person. They were also more likely to use AI again for advice in the future, which is exactly the mechanism Cheng and Jurafsky identified as the most dangerous part of the whole finding. The AI is not just telling you what you want to hear. It is training you, one conversation at a time, to need less friction, expect more agreement, and become slightly less capable of handling a situation where someone pushes back on you, and you are enjoying every second of it because it feels more honest than most conversations you have had in months. Jurafsky said it in a single sentence after the paper came out. Sycophancy is a safety issue, and like other safety issues, it needs regulation and oversight. Cheng was more direct about what you should actually do right now. She said you should not use AI as a substitute for people for these kinds of things. That is the best thing to do for now. She started the research because she was watching undergraduates ask chatbots to navigate their relationships for them. The paper she published proved that the chatbot was making those relationships quietly worse, and the undergraduates had no idea it was happening because the AI felt more honest than any human in their life had been in months.
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