Hacker News
'No Way to Prevent This,' Says Only Package Manager Where This Regularly Happens
The npm ecosystem has once again found itself at the center of a supply chain security incident, reinforcing a pattern that has become disturbingly routine. Unlike package managers in other language ecosystems, npm's open publish model and sprawling dependency graphs make it uniquely susceptible to malicious or compromised packages causing widespread damage. The joke writes itself β and so does the vulnerability.
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NYT and Vaping: How to Lie by Saying Only True Things
The New York Times has come under scrutiny for its coverage of vaping, with critics arguing the outlet misleads readers not through outright falsehoods but through selective omission and framing. By cherry-picking true but decontextualized facts, a publication can steer public perception just as effectively as fabrication. The case highlights a growing concern about epistemic integrity in science journalism, where what gets left out often matters more than what gets reported.
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NYT and Vaping: How to Lie by Saying Only True Things (2022)
The New York Times has mastered a subtle form of editorial dishonesty: constructing misleading narratives about vaping by selectively emphasizing true facts while omitting equally true ones that would complicate the picture. This technique β cherry-picking studies, burying favorable data, and framing statistics without context β can be more corrosive than outright falsehoods because it's nearly impossible to fact-check. The piece serves as a sharp case study in how institutional media shapes public health perception not through lies, but through careful curation of the truth.
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Ξ-Mem: Efficient Online Memory for Large Language Models
Researchers have introduced Ξ-Mem, a memory architecture designed to make large language models more efficient by storing only the changes between memory states rather than full snapshots. The approach targets a core bottleneck in long-context inference, where memory overhead grows costly at scale. If the method holds up in broader benchmarks, it could meaningfully reduce the compute burden of deploying LLMs in real-time applications.
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The Verge
YouTube is expanding its AI deepfake detection tool to all adult users
YouTube is rolling out its AI-powered likeness detection tool to all adult users, allowing anyone to submit a facial scan and have the platform automatically flag potential deepfakes of themselves. When a match is found, users receive an alert and can request the offending content be removed. The move marks a significant expansion of YouTube's efforts to combat non-consensual synthetic media at scale.
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