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How uncrewed narco subs could transform the Colombian drug trade

MIT Technology Review

Fast, stealthy, and cheap--autonomous, semisubmersible drone boats carrying tons of cocaine could be international law enforcement's nightmare scenario. A big one just came ashore. Colombian military officials intercepted this 40-foot-long uncrewed fiberglass "narco sub" in the ocean just off Tayrona National Park. On a bright morning last April, a surveillance plane operated by the Colombian military spotted a 40-foot-long shark-like silhouette idling in the ocean just off Tayrona National Park. It was, unmistakably, a "narco sub," a stealthy fiberglass vessel that sails with its hull almost entirely underwater, used by drug cartels to move cocaine north. The plane's crew radioed it in, and eventually nearby coast guard boats got the order, routine but urgent: Intercept. In Cartagena, about 150 miles from the action, Captain Jaime Gonzรกlez Zamudio, commander of the regional coast guard group, sat down at his desk to watch what happened next.


Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models Jiaqi Li

Neural Information Processing Systems

Machine unlearning (MU) empowers individuals with the'right to be forgotten' by removing their private or sensitive information encoded in machine learning models. However, it remains uncertain whether MU can be effectively applied to Multimodal Large Language Models (MLLMs), particularly in scenarios of forgetting the leaked visual data of concepts.


bc218a0c656e49d4b086975a9c785f47-Supplemental-Datasets_and_Benchmarks.pdf

Neural Information Processing Systems

Emerging ethical approaches have attempted to filter pretraining material, but such approaches have been ad hoc and failed to take context into account. We offer an approach to filtering grounded in law, which has directly addressed the tradeoffs in filtering material.


a7c4163b33286261b24c72fd3d1707c9-Supplemental-Datasets_and_Benchmarks.pdf

Neural Information Processing Systems

These datasets enable large-scale study of abuse detection for these languages. Anonymized comments: To further address privacy concerns, we anonymize our dataset. We combine thehate and offensivecategories in these datasets for training a binary classification model. We showthepercentage (%)ofemoticons present inourdatasetMACDinTable12. Infuture work,we will investigate in detail about the impact of emoticons on abuse detection. However,duetothe limited scale and diversity of abuse detection datasets in Indic languages, development of these models for Indic languages has been severely impeded.



Video: OpenAI and Anthropic CEOs refuse to hold hands at India AI summit

Al Jazeera

The heads of AI companies OpenAI and Anthropic refused to hold hands in a group photo at the opening of a major AI summit in India. The rivalry between Sam Altman of OpenAI and Dario Amodei of Anthropic escalated this year when the latter ran attack ads during the Super Bowl. South Korea's ex-President Yoon gets life for insurrection Mark Zuckerberg appears to be'served' new lawsuit upon arrival at court


Bill Gates pulls out of India's AI summit amid Epstein files controversy

BBC News

Bill Gates pulls out of India's AI summit amid Epstein files controversy Bill Gates will not deliver his keynote address at the India AI Impact Summit in Delhi, his philanthropic organisation said hours before the Microsoft co-founder was due to speak. The Gates Foundation said the decision was made after careful consideration and to ensure the focus remains on the [summit's] key priorities, but did not elaborate. Gates's withdrawal comes amid a controversy over his ties to the late sex offender Jeffrey Epstein after he was named in new files released by the US Department of Justice in January. Gates's spokesperson has called the claims in the files absolutely absurd and completely false, and the billionaire has said he regretted spending time with Epstein . Gates has not been accused of wrongdoing by any of Epstein's victims and the appearance of his name in the files does not imply criminal activity of any kind.