Category: Uncategorized

New research highlights how extensive plastic pollution is—and how nonhuman species, including dolphins, are exposed. Read more

A cohort of content creators say it’s possible to make money on OnlyFans without stripping. I put that claim to the test. Read more

Credit environmentally conscious students—and a handful of state funding programs. Read more

Plus: The alleged SEC X account hacker gets charged, Kroger wriggles out of a face recognition scandal, and Microsoft deals with missing customer security logs. Read more

“This is simply a question of right and wrong.” “You can’t deny the costs, though. You keep saying that just one more year of taxes will solve— “We’re not solving—we’re mitigating!” “Then what’s the point?” The shrill back-and-forth fills the kitchen, where Xia is busy making breakfast, some kind of awful cricket-protein smoothie with kale.… Read more

Code generation AI models (Code GenAI) are becoming pivotal in developing automated software demonstrating capabilities in writing, debugging, and reasoning about code. However, their ability to autonomously generate code raises concerns about security vulnerabilities. These models may inadvertently introduce insecure code, which could be exploited in cyberattacks. Furthermore, their potential use in aiding malicious actors… Read more

The key challenge in the image autoencoding process is to create high-quality reconstructions that can retain fine details, especially when the image data has undergone compression. Traditional autoencoders, which rely on pixel-level losses such as mean squared error (MSE), tend to produce blurry outputs without capturing high-frequency details, textual information, and edge information. While adversarial… Read more

Recent advancements in large language models (LLMs) have significantly enhanced their ability to handle long contexts, making them highly effective in various tasks, from answering questions to complex reasoning. However, a critical bottleneck has emerged: the memory requirements for storing key-value (KV) caches escalate significantly as the number of model layers and the length of… Read more

Large language models (LLMs) have demonstrated significant reasoning capabilities, yet they face issues like hallucinations and the inability to conduct faithful reasoning. These challenges stem from knowledge gaps, leading to factual errors during complex tasks. While knowledge graphs (KGs) are increasingly used to bolster LLM reasoning, current KG-enhanced approaches—retrieval-based and agent-based—struggle with either accurate knowledge… Read more

Training and deploying large-scale language models (LLMs) is complex, requiring significant computational resources, technical expertise, and access to high-performance infrastructure. These barriers limit reproducibility, increase development time, and make experimentation challenging, particularly for academia and smaller research institutions. Addressing these issues requires a lightweight, flexible, and efficient approach that reduces friction in LLM research. Meta… Read more