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Crypto-Funded Human Trafficking Is Exploding

WIRED

The use of cryptocurrency in sales of human beings for prostitution and scam compounds nearly doubled in 2025, according to a conservative estimate. Many of the deals are happening in plain sight. Cryptocurrency's frictionless, transnational, low-regulation transactions have long promised the ability to pay anyone in the world for anything. More than ever before, that anything includes human beings: victims of human trafficking forced into scam compounds and the sex trade on an industrial scale, bought and sold in crypto deals carried out with impunity, often in full public view. In new research published today, crypto-tracing firm Chainalysis found that crypto-funded transactions for human trafficking--largely forced laborers trapped in compounds across Southeast Asia and coerced into working as online scammers, as well as sex-trafficking prostitution rings--grew explosively in 2025.


AI researcher says 'world is in peril' and quits to study poetry

BBC News

AI researcher says'world is in peril' and quits to study poetry An AI safety researcher has quit US firm Anthropic with a cryptic warning that the world is in peril. In his resignation letter shared on X, Mrinank Sharma told the firm he was leaving amid concerns about AI, bioweapons and the state of the wider world. He said he would instead look to pursue writing and studying poetry, and move back to the UK to become invisible. It comes in the same week that a OpenAI researcher said she had resigned, sharing concerns about the ChatGPT maker's decision to deploy adverts in its chatbot . Anthropic, best known for its Claude chatbot, had released a series of commercials aimed at OpenAI, criticising the company's move to include adverts for some users.


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Neural Information Processing Systems

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PROSPECT: LabeledTandemMassSpectrometry DatasetforMachineLearninginProteomics

Neural Information Processing Systems

PROSPECT provides value to proteomics and machine learning researchers by including several high-quality annotations and by being accessible in terms of format and structure for applying machinelearning.