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People tend to hold overly favorable views of their abilities in many social and intellectual domains. The authors suggest that this overestimation occurs, in part, because people who are unskilled in these domains suffer a dual burden: Not only do these people reach erroneous conclusions and make unfortunate choices, but their incompetence robs them of the metacognitive ability to realize it. Across 4 studies, the authors found that participants scoring in the bottom quartile on tests of humor, grammar, and logic grossly overestimated their test performance and ability. Although their test scores put them in the 12th percentile, they estimated themselves to be in the 62nd. Several analyses linked this miscalibration to deficits in metacognitive skill, or the capacity to distinguish accuracy from error. Paradoxically, improving the skills of participants, and thus increasing their metacognitive competence, helped them recognize the limitations of their abilities.
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SCIgen is a program that generates random Computer Science research papers, including graphs, figures, and citations. It uses a hand-written context-free grammar to form all elements of the papers. Our aim here is to maximize amusement, rather than coherence. One useful purpose for such a program is to auto-generate submissions to conferences that you suspect might have very low submission standards. There's also a list of known bogus conferences. Using SCIgen to generate submissions for conferences like this gives us pleasure to no end.
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Purpose of review: The current review aims to summarize the state of research on cannabis and sleep up to and to review in detail the literature on cannabis and specific sleep disorders from to the time of publication. Recent findings: Preliminary research into cannabis and insomnia suggests that cannabidiol CBD may have therapeutic potential for the treatment of insomnia. Delta-9 tetrahydrocannabinol THC may decrease sleep latency but could impair sleep quality long-term. Novel studies investigating cannabinoids and obstructive sleep apnea suggest that synthetic cannabinoids such as nabilone and dronabinol may have short-term benefit for sleep apnea due to their modulatory effects on serotonin-mediated apneas. CBD may hold promise for REM sleep behavior disorder and excessive daytime sleepiness, while nabilone may reduce nightmares associated with PTSD and may improve sleep among patients with chronic pain.
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We find that, just as a large transformer model trained on language can generate coherent text, the same exact model trained on pixel sequences can generate coherent image completions and samples. Unsupervised and self-supervised learning, or learning without human-labeled data, is a longstanding challenge of machine learning. However, the same broad class of models has not been successful in producing strong features for image classification. Our work aims to understand and bridge this gap.
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