The idea that scattering posts across the #internet under a fake name keeps you safe may no longer hold:

"If #LLMs' success in deanonymizing people improves, the researchers warn, governments could use the techniques to unmask online critics, corporations could assemble customer profiles for 'hyper-targeted advertising', and attackers could build profiles of targets at scale to launch highly personalized social engineering #scams."

Dan Goodin for @arstechnica:

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https://arstechnica.com/security/2026/03/llms-can-unmask-pseudonymous-users-at-scale-with-surprising-accuracy/

There’s more and more evidence suggesting #LLMs judge dialect speakers – a lot. And in shocking ways.

Fintan Burke for DW about discrimination you may be confronted with when using #AI models:

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https://www.dw.com/en/ai-chatbots-are-alarmingly-biased-against-dialect-speakers/a-75247017

There’s more and more evidence suggesting #LLMs judge dialect speakers – a lot. And in shocking ways.

Fintan Burke for DW about discrimination you may be confronted with when using #AI models:

👇
https://www.dw.com/en/ai-chatbots-are-alarmingly-biased-against-dialect-speakers/a-75247017

@_elena I think everyone I follow is #NoAI lol, I went from teaching data sci and physics to teaching how to circumvent/remove #LLMs in data sci and physics... it's tough for the kids trying to learn through this slop 🙃 One thing I think helps a bit is to specify when dragging #LLM_AI vs #DecisionTree_AI #NeuralNet_AI or #Statistical_AI etc. Alot of phys/ data sci here uses #AI as a catchall for all of #datascience including #MachineLearning so it can get confusing (is likely meant to be lol).