Son Georgia Üniversitesi araştırması ekran kullanımının hafızayı güçlendirdiğini ortaya koyuyor. 8 haftalık deneyde 200 katılımcıda %15’lik artış gözlendi. Bilinçli ekran süresi hafızanızı yükseltir!
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Conversational large language models are fine-tuned for both instruction-following and safety, resulting in models that obey benign requests but refuse harmful ones. While this refusal behavior is widespread across chat models, its underlying mechanisms remain poorly understood. In this work, we show that refusal is mediated by a one-dimensional subspace, across 13 popular open-source chat models up to 72B parameters in size. Specifically, for each model, we find a single direction such that erasing this direction from the model's residual stream activations prevents it from refusing harmful instructions, while adding this direction elicits refusal on even harmless instructions. Leveraging this insight, we propose a novel white-box jailbreak method that surgically disables refusal with minimal effect on other capabilities. Finally, we mechanistically analyze how adversarial suffixes suppress propagation of the refusal-mediating direction. Our findings underscore the brittleness of current safety fine-tuning methods. More broadly, our work showcases how an understanding of model internals can be leveraged to develop practical methods for controlling model behavior.
The Shape of Inequalities
https://www.andreinc.net/2026/03/16/the-shape-of-inequalities/
#HackerNews #The #Shape #of #Inequalities #inequalities #socialjustice #dataanalysis #economicinequality #researchinsights
…symmetry isn’t just a preference for “pretty” shapes. Contents Introduction The HM-AM-GM-QM Inequality The two circles The Semicircle The Container The 3D container The Sum of Squares Inequality Nesbitt’s Inequality Conclusion Introduction While I was randomly browsing the web, I came across this nice picture: Roland H. Eddy, Memorial University of Newfoundland, Canada, 1985 And it tickled my imagination a little, just enough to write this short post.
A recent analysis of global data reveals a link between income inequality and longer work weeks. The study suggests that economic disparity prompts individuals—particularly disadvantaged groups in the United States—to significantly increase their work hours.
Building AI agents shouldn’t be hard. According to theCUBE Research, Docker makes it easy
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RESPOND Explained: Q&A Behind the Research
A RESPOND series bringing you quick, clear answers to the big questions behind our work on political corruption. Straight from the researchers. In their own words.
👇 Watch and share the playlist and follow us for more insight: https://www.youtube.com/watch?v=xEx8iy2mAjQ&list=PLs4X1Ney_NDtSAh2V8ohOzMXBIddyQl4i .
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Over-reliance on English hinders cognitive science
https://www.cell.com/trends/cognitive-sciences/fulltext/S1364-6613(22)00236-4
#HackerNews #OverrelianceOnEnglish #CognitiveScience #LanguageBarrier #ResearchInsights
theCUBE Research economic validation of Docker’s development platform
#Docker #Company #Enterprise #Products #Solutions #AgenticAI #Developers #DockerBusiness #DockerDesktop #DockerHardenedImages #Productivity #ResearchInsights #Security #TheCUBE
https://www.docker.com/blog/thecube-research-economic-validation-of-dockers-development-platform/
We tested 20 LLMs for ideological bias, revealing distinct alignments
https://anomify.ai/resources/articles/llm-bias
#HackerNews #LLMbias #IdeologicalBias #AIethics #MachineLearning #ResearchInsights
As more and more of us use Large Language Models (LLMs) for daily tasks, their potential biases become increasingly important. We investigated whether today's leading models, such as those from OpenAI, Google, and others, exhibit ideological leanings.
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