Science Daily -- Date: May 14, 2021 Source: Cell Press

Summary:

Why we dream is a divisive topic within the scientific community, and the neuroscience field is saturated with hypotheses. Inspired by techniques used to train deep neural networks, a neuroscience researcher argues for a new theory of dreams: the overfitted brain hypothesis. The hypothesis suggests that the strangeness of our dreams serves to help our brains better generalize our day-to-day experiences.

 The question of why we dream is a divisive topic within the scientific community: it's hard to prove concretely why dreams occur and the neuroscience field is saturated with hypotheses. Inspired by techniques used to train deep neural networks, Erik Hoel, a research assistant professor of neuroscience at Tufts University, argues for a new theory of dreams: the overfitted brain hypothesis. The hypothesis, described May 14 in a review in the journal Patterns, suggests that the strangeness of our dreams serves to help our brains better generalize our day-to-day experiences.

"There's obviously an incredible number of theories of why we dream," says Hoel. "But I wanted to bring to attention a theory of dreams that takes dreaming itself very seriously -- that says the experience of dreams is why you're dreaming."

A common problem when it comes to training AI is that it becomes too familiar with the data it's trained on -- it starts to assume that the training set is a perfect representation of anything it might encounter. Data scientists fix this by introducing some chaos into the data; in one such regularization method, called "dropout," some data is randomly ignored. Imagine if black boxes suddenly appeared on the internal screen of a self-driving car: the car that sees the random black boxes on the screen and focuses on overarching details of its surroundings, rather than the specifics of that particular driving experience, will likely better understand the general experience of driving.

"The original inspiration for deep neural networks was the brain," Hoel says. And while comparing the brain to technology is not new, he explains that using deep neural networks to describe the overfitted brain hypothesis was a natural connection. "If you look at the techniques that people use in regularization of deep learning, it's often the case that those techniques bear some striking similarities to dreams," he says.

With that in mind, his new theory suggests that dreams happen to make our understanding of the world less simplistic and more well-rounded -- because our brains, like deep neural networks, also become too familiar with the "training set" of our everyday lives. To counteract the familiarity, he suggests, the brain creates a weirded version of the world in dreams, the mind's version of dropout. "It is the very strangeness of dreams in their divergence from waking experience that gives them their biological function," he writes.

Hoel says that there's already evidence from neuroscience research to support the overfitted brain hypothesis. For example, it's been shown that the most reliable way to prompt dreams about something that happens in real life is to repetitively perform a novel task while you are awake. He argues that when you over-train on a novel task, the condition of overfitting is triggered, and your brain attempts to then generalize for this task by creating dreams.

But he believes that there's also research that could be done to determine whether this is really why we dream. He says that well-designed behavioral tests could differentiate between generalization and memorization and the effect of sleep deprivation on both.

Another area he's interested to explore is on the idea of "artificial dreams." He came up with overfitted brain hypothesis while thinking about the purpose of works of fiction like film or novels. Now, he hypothesizes that outside stimuli like novels or TV shows might act as dream "substitutions" -- and that they could perhaps even be designed to help delay the cognitive effects of sleep deprivation by emphasizing their dream-like nature (for instance, by virtual reality technology).

While you can simply turn off learning in artificial neural networks, Hoel says, you can't do that with a brain. Brains are always learning new things -- and that's where the overfitted brain hypothesis comes in to help. "Life is boring sometimes," he says. "Dreams are there to keep you from becoming too fitted to the model of the world."
 

Story Source:

Materials provided by Cell Press. Note: Content may be edited for style and length.

Journal Reference:

Erik Hoel. The overfitted brain: Dreams evolved to assist generalization. Patterns, 2021; 2 (5): 100244 DOI: 10.1016/j.patter.2021.100244

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Cell Press. "Our dreams' weirdness might be why we have them, argues new AI-inspired theory of dreaming." ScienceDaily. ScienceDaily, 14 May 2021. www.sciencedaily.com/releases/2021/05/210514134208.htm

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๐Ÿ˜€๐Ÿ˜ƒ๐Ÿ˜„๐Ÿ˜๐Ÿ˜†๐Ÿ˜…๐Ÿคฃ๐Ÿ˜‚๐Ÿ™‚๐Ÿ™ƒ๐Ÿ˜‰๐Ÿ˜Š๐Ÿ˜‡๐Ÿฅฐ๐Ÿ˜๐Ÿคฉ๐Ÿ˜˜๐Ÿ˜—๐Ÿ˜š๐Ÿ˜™๐Ÿ˜‹๐Ÿ˜›๐Ÿ˜œ๐Ÿคช๐Ÿ˜๐Ÿค‘๐Ÿค—๐Ÿคญ๐Ÿคซ๐Ÿค”๐Ÿค๐Ÿคจ๐Ÿ˜๐Ÿ˜‘๐Ÿ˜ถ๐Ÿ˜๐Ÿ˜’๐Ÿ™„๐Ÿ˜ฌ๐Ÿคฅ๐Ÿ˜Œ๐Ÿ˜”๐Ÿ˜ช๐Ÿคค๐Ÿ˜ด๐Ÿ˜ท๐Ÿค’๐Ÿค•๐Ÿคข๐Ÿคฎ๐Ÿคง๐Ÿฅต๐Ÿฅถ๐Ÿฅด๐Ÿ˜ต๐Ÿคฏ๐Ÿค ๐Ÿฅณ๐Ÿ˜Ž๐Ÿค“๐Ÿง๐Ÿ˜•๐Ÿ˜Ÿ๐Ÿ™โ˜น๏ธ๐Ÿ˜ฎ๐Ÿ˜ฏ๐Ÿ˜ฒ๐Ÿ˜ณ๐Ÿฅบ๐Ÿ˜ฆ๐Ÿ˜ง๐Ÿ˜จ๐Ÿ˜ฐ๐Ÿ˜ฅ๐Ÿ˜ข๐Ÿ˜ญ๐Ÿ˜ฑ๐Ÿ˜–๐Ÿ˜ฃ๐Ÿ˜ž๐Ÿ˜“๐Ÿ˜ฉ๐Ÿ˜ซ๐Ÿฅฑ๐Ÿ˜ค๐Ÿ˜ก๐Ÿ˜ ๐Ÿคฌ๐Ÿ˜ˆ๐Ÿ‘ฟ๐Ÿ’€โ˜ ๏ธ๐Ÿ’ฉ๐Ÿคก๐Ÿ‘น๐Ÿ‘บ๐Ÿ‘ป๐Ÿ‘ฝ๐Ÿ‘พ๐Ÿค–๐Ÿ˜บ๐Ÿ˜ธ๐Ÿ˜น๐Ÿ˜ป๐Ÿ˜ผ๐Ÿ˜ฝ๐Ÿ™€๐Ÿ˜ฟ๐Ÿ˜พ๐Ÿ™ˆ๐Ÿ™‰๐Ÿ™Š
๐Ÿ‘‹๐Ÿคš๐Ÿ–๏ธโœ‹๐Ÿ––๐Ÿ‘Œ๐ŸคโœŒ๏ธ๐Ÿคž๐ŸคŸ๐Ÿค˜๐Ÿค™๐Ÿ‘ˆ๐Ÿ‘‰๐Ÿ‘†๐Ÿ–•๐Ÿ‘‡โ˜๏ธ๐Ÿ‘๐Ÿ‘ŽโœŠ๐Ÿ‘Š๐Ÿค›๐Ÿคœ๐Ÿ‘๐Ÿ™Œ๐Ÿ‘๐Ÿคฒ๐Ÿค๐Ÿ™โœ๏ธ๐Ÿ’…๐Ÿคณ๐Ÿ’ช๐Ÿฆพ๐Ÿฆฟ๐Ÿฆต๐Ÿฆถ๐Ÿ‘‚๐Ÿฆป๐Ÿ‘ƒ๐Ÿง ๐Ÿฆท๐Ÿฆด๐Ÿ‘€๐Ÿ‘๏ธ๐Ÿ‘…๐Ÿ‘„๐Ÿ‘ถ๐Ÿง’๐Ÿ‘ฆ๐Ÿ‘ง๐Ÿง‘๐Ÿ‘ฑ๐Ÿ‘จ๐Ÿง”๐Ÿ‘จโ€๐Ÿฆฐ๐Ÿ‘จโ€๐Ÿฆฑ๐Ÿ‘จโ€๐Ÿฆณ๐Ÿ‘จโ€๐Ÿฆฒ๐Ÿ‘ฉ๐Ÿ‘ฉโ€๐Ÿฆฐ๐Ÿง‘โ€๐Ÿฆฐ๐Ÿ‘ฉโ€๐Ÿฆฑ๐Ÿง‘โ€๐Ÿฆฑ๐Ÿ‘ฉโ€๐Ÿฆณ๐Ÿง‘โ€๐Ÿฆณ๐Ÿ‘ฉโ€๐Ÿฆฒ๐Ÿง‘โ€๐Ÿฆฒ๐Ÿ‘ฑโ€โ™€๏ธ๐Ÿ‘ฑโ€โ™‚๏ธ๐Ÿง“๐Ÿ‘ด๐Ÿ‘ต๐Ÿ™๐Ÿ™โ€โ™‚๏ธ๐Ÿ™โ€โ™€๏ธ๐Ÿ™Ž๐Ÿ™Žโ€โ™‚๏ธ๐Ÿ™Žโ€โ™€๏ธ๐Ÿ™…๐Ÿ™…โ€โ™‚๏ธ๐Ÿ™…โ€โ™€๏ธ๐Ÿ™†๐Ÿ™†โ€โ™‚๏ธ๐Ÿ™†โ€โ™€๏ธ๐Ÿ’๐Ÿ’โ€โ™‚๏ธ๐Ÿ’โ€โ™€๏ธ๐Ÿ™‹๐Ÿ™‹โ€โ™‚๏ธ๐Ÿ™‹โ€โ™€๏ธ๐Ÿง๐Ÿงโ€โ™‚๏ธ๐Ÿงโ€โ™€๏ธ๐Ÿ™‡๐Ÿ™‡โ€โ™‚๏ธ๐Ÿ™‡โ€โ™€๏ธ๐Ÿคฆ๐Ÿคฆโ€โ™‚๏ธ๐Ÿคฆโ€โ™€๏ธ๐Ÿคท๐Ÿคทโ€โ™‚๏ธ๐Ÿคทโ€โ™€๏ธ๐Ÿง‘โ€โš•๏ธ๐Ÿ‘จโ€โš•๏ธ๐Ÿ‘ฉโ€โš•๏ธ๐Ÿง‘โ€๐ŸŽ“๐Ÿ‘จโ€๐ŸŽ“๐Ÿ‘ฉโ€๐ŸŽ“๐Ÿง‘โ€๐Ÿซ๐Ÿ‘จโ€๐Ÿซ๐Ÿ‘ฉโ€๐Ÿซ๐Ÿง‘โ€โš–๏ธ๐Ÿ‘จโ€โš–๏ธ๐Ÿ‘ฉโ€โš–๏ธ๐Ÿง‘โ€๐ŸŒพ๐Ÿ‘จโ€๐ŸŒพ๐Ÿ‘ฉโ€๐ŸŒพ๐Ÿง‘โ€๐Ÿณ๐Ÿ‘จโ€๐Ÿณ๐Ÿ‘ฉโ€๐Ÿณ๐Ÿง‘โ€๐Ÿ”ง๐Ÿ‘จโ€๐Ÿ”ง๐Ÿ‘ฉโ€๐Ÿ”ง๐Ÿง‘โ€๐Ÿญ๐Ÿ‘จโ€๐Ÿญ๐Ÿ‘ฉโ€๐Ÿญ๐Ÿง‘โ€๐Ÿ’ผ๐Ÿ‘จโ€๐Ÿ’ผ๐Ÿ‘ฉโ€๐Ÿ’ผ๐Ÿง‘โ€๐Ÿ”ฌ๐Ÿ‘จโ€๐Ÿ”ฌ๐Ÿ‘ฉโ€๐Ÿ”ฌ๐Ÿง‘โ€๐Ÿ’ป๐Ÿ‘จโ€๐Ÿ’ป๐Ÿ‘ฉโ€๐Ÿ’ป๐Ÿง‘โ€๐ŸŽค๐Ÿ‘จโ€๐ŸŽค๐Ÿ‘ฉโ€๐ŸŽค๐Ÿง‘โ€๐ŸŽจ๐Ÿ‘จโ€๐ŸŽจ๐Ÿ‘ฉโ€๐ŸŽจ๐Ÿง‘โ€โœˆ๏ธ๐Ÿ‘จโ€โœˆ๏ธ๐Ÿ‘ฉโ€โœˆ๏ธ๐Ÿง‘โ€๐Ÿš€๐Ÿ‘จโ€๐Ÿš€๐Ÿ‘ฉโ€๐Ÿš€๐Ÿง‘โ€๐Ÿš’๐Ÿ‘จโ€๐Ÿš’๐Ÿ‘ฉโ€๐Ÿš’๐Ÿ‘ฎ๐Ÿ‘ฎโ€โ™‚๏ธ๐Ÿ‘ฎโ€โ™€๏ธ๐Ÿ•ต๏ธ๐Ÿ•ต๏ธโ€โ™‚๏ธ๐Ÿ•ต๏ธโ€โ™€๏ธ๐Ÿ’‚๐Ÿ’‚โ€โ™‚๏ธ๐Ÿ’‚โ€โ™€๏ธ๐Ÿ‘ท๐Ÿ‘ทโ€โ™‚๏ธ๐Ÿ‘ทโ€โ™€๏ธ๐Ÿคด๐Ÿ‘ธ๐Ÿ‘ณ๐Ÿ‘ณโ€โ™‚๏ธ๐Ÿ‘ณโ€โ™€๏ธ๐Ÿ‘ฒ๐Ÿง•๐Ÿคต๐Ÿคตโ€โ™‚๏ธ๐Ÿคตโ€โ™€๏ธ๐Ÿ‘ฐ๐Ÿ‘ฐโ€โ™‚๏ธ๐Ÿ‘ฐโ€โ™€๏ธ๐Ÿคฐ๐Ÿคฑ๐Ÿ‘ฉโ€๐Ÿผ๐Ÿ‘จโ€๐Ÿผ๐Ÿง‘โ€๐Ÿผ๐Ÿ‘ผ๐ŸŽ…๐Ÿคถ๐Ÿง‘โ€๐ŸŽ„๐Ÿฆธ๐Ÿฆธโ€โ™‚๏ธ๐Ÿฆธโ€โ™€๏ธ๐Ÿฆน๐Ÿฆนโ€โ™‚๏ธ๐Ÿฆนโ€โ™€๏ธ๐Ÿง™๐Ÿง™โ€โ™‚๏ธ๐Ÿง™โ€โ™€๏ธ๐Ÿงš๐Ÿงšโ€โ™‚๏ธ๐Ÿงšโ€โ™€๏ธ๐Ÿง›๐Ÿง›โ€โ™‚๏ธ๐Ÿง›โ€โ™€๏ธ๐Ÿงœ๐Ÿงœโ€โ™‚๏ธ๐Ÿงœโ€โ™€๏ธ๐Ÿง๐Ÿงโ€โ™‚๏ธ๐Ÿงโ€โ™€๏ธ๐Ÿงž๐Ÿงžโ€โ™‚๏ธ๐Ÿงžโ€โ™€๏ธ๐ŸงŸ๐ŸงŸโ€โ™‚๏ธ๐ŸงŸโ€โ™€๏ธ๐Ÿ’†๐Ÿ’†โ€โ™‚๏ธ๐Ÿ’†โ€โ™€๏ธ๐Ÿ’‡๐Ÿ’‡โ€โ™‚๏ธ๐Ÿ’‡โ€โ™€๏ธ๐Ÿšถ๐Ÿšถโ€โ™‚๏ธ๐Ÿšถโ€โ™€๏ธ๐Ÿง๐Ÿงโ€โ™‚๏ธ๐Ÿงโ€โ™€๏ธ๐ŸงŽ๐ŸงŽโ€โ™‚๏ธ๐ŸงŽโ€โ™€๏ธ๐Ÿง‘โ€๐Ÿฆฏ๐Ÿ‘จโ€๐Ÿฆฏ๐Ÿ‘ฉโ€๐Ÿฆฏ๐Ÿง‘โ€๐Ÿฆผ๐Ÿ‘จโ€๐Ÿฆผ๐Ÿ‘ฉโ€๐Ÿฆผ๐Ÿง‘โ€๐Ÿฆฝ๐Ÿ‘จโ€๐Ÿฆฝ๐Ÿ‘ฉโ€๐Ÿฆฝ๐Ÿƒ๐Ÿƒโ€โ™‚๏ธ๐Ÿƒโ€โ™€๏ธ๐Ÿ’ƒ๐Ÿ•บ๐Ÿ•ด๏ธ๐Ÿ‘ฏ๐Ÿ‘ฏโ€โ™‚๏ธ๐Ÿ‘ฏโ€โ™€๏ธ๐Ÿง–๐Ÿง–โ€โ™‚๏ธ๐Ÿง–โ€โ™€๏ธ๐Ÿง—๐Ÿง—โ€โ™‚๏ธ๐Ÿง—โ€โ™€๏ธ๐Ÿคบ๐Ÿ‡โ›ท๏ธ๐Ÿ‚๐ŸŒ๏ธ๐ŸŒ๏ธโ€โ™‚๏ธ๐ŸŒ๏ธโ€โ™€๏ธ๐Ÿ„๐Ÿ„โ€โ™‚๏ธ๐Ÿ„โ€โ™€๏ธ๐Ÿšฃ๐Ÿšฃโ€โ™‚๏ธ๐Ÿšฃโ€โ™€๏ธ๐ŸŠ๐ŸŠโ€โ™‚๏ธ๐ŸŠโ€โ™€๏ธโ›น๏ธโ›น๏ธโ€โ™‚๏ธโ›น๏ธโ€โ™€๏ธ๐Ÿ‹๏ธ๐Ÿ‹๏ธโ€โ™‚๏ธ๐Ÿ‹๏ธโ€โ™€๏ธ๐Ÿšด๐Ÿšดโ€โ™‚๏ธ๐Ÿšดโ€โ™€๏ธ๐Ÿšต๐Ÿšตโ€โ™‚๏ธ๐Ÿšตโ€โ™€๏ธ๐Ÿคธ๐Ÿคธโ€โ™‚๏ธ๐Ÿคธโ€โ™€๏ธ๐Ÿคผ๐Ÿคผโ€โ™‚๏ธ๐Ÿคผโ€โ™€๏ธ๐Ÿคฝ๐Ÿคฝโ€โ™‚๏ธ๐Ÿคฝโ€โ™€๏ธ๐Ÿคพ๐Ÿคพโ€โ™‚๏ธ๐Ÿคพโ€โ™€๏ธ๐Ÿคน๐Ÿคนโ€โ™‚๏ธ๐Ÿคนโ€โ™€๏ธ๐Ÿง˜๐Ÿง˜โ€โ™‚๏ธ๐Ÿง˜โ€โ™€๏ธ๐Ÿ›€๐Ÿ›Œ๐Ÿง‘โ€๐Ÿคโ€๐Ÿง‘๐Ÿ‘ญ๐Ÿ‘ซ๐Ÿ‘ฌ๐Ÿ’๐Ÿ‘ฉโ€โค๏ธโ€๐Ÿ’‹โ€๐Ÿ‘จ๐Ÿ‘จโ€โค๏ธโ€๐Ÿ’‹โ€๐Ÿ‘จ๐Ÿ‘ฉโ€โค๏ธโ€๐Ÿ’‹โ€๐Ÿ‘ฉ๐Ÿ’‘๐Ÿ‘ฉโ€โค๏ธโ€๐Ÿ‘จ๐Ÿ‘จโ€โค๏ธโ€๐Ÿ‘จ๐Ÿ‘ฉโ€โค๏ธโ€๐Ÿ‘ฉ๐Ÿ‘ช๐Ÿ‘จโ€๐Ÿ‘ฉโ€๐Ÿ‘ฆ๐Ÿ‘จโ€๐Ÿ‘ฉโ€๐Ÿ‘ง๐Ÿ‘จโ€๐Ÿ‘ฉโ€๐Ÿ‘งโ€๐Ÿ‘ฆ๐Ÿ‘จโ€๐Ÿ‘ฉโ€๐Ÿ‘ฆโ€๐Ÿ‘ฆ๐Ÿ‘จโ€๐Ÿ‘ฉโ€๐Ÿ‘งโ€๐Ÿ‘ง๐Ÿ‘จโ€๐Ÿ‘จโ€๐Ÿ‘ฆ๐Ÿ‘จโ€๐Ÿ‘จโ€๐Ÿ‘ง๐Ÿ‘จโ€๐Ÿ‘จโ€๐Ÿ‘งโ€๐Ÿ‘ฆ๐Ÿ‘จโ€๐Ÿ‘จโ€๐Ÿ‘ฆโ€๐Ÿ‘ฆ๐Ÿ‘จโ€๐Ÿ‘จโ€๐Ÿ‘งโ€๐Ÿ‘ง๐Ÿ‘ฉโ€๐Ÿ‘ฉโ€๐Ÿ‘ฆ๐Ÿ‘ฉโ€๐Ÿ‘ฉโ€๐Ÿ‘ง๐Ÿ‘ฉโ€๐Ÿ‘ฉโ€๐Ÿ‘งโ€๐Ÿ‘ฆ๐Ÿ‘ฉโ€๐Ÿ‘ฉโ€๐Ÿ‘ฆโ€๐Ÿ‘ฆ๐Ÿ‘ฉโ€๐Ÿ‘ฉโ€๐Ÿ‘งโ€๐Ÿ‘ง๐Ÿ‘จโ€๐Ÿ‘ฆ๐Ÿ‘จโ€๐Ÿ‘ฆโ€๐Ÿ‘ฆ๐Ÿ‘จโ€๐Ÿ‘ง๐Ÿ‘จโ€๐Ÿ‘งโ€๐Ÿ‘ฆ๐Ÿ‘จโ€๐Ÿ‘งโ€๐Ÿ‘ง๐Ÿ‘ฉโ€๐Ÿ‘ฆ๐Ÿ‘ฉโ€๐Ÿ‘ฆโ€๐Ÿ‘ฆ๐Ÿ‘ฉโ€๐Ÿ‘ง๐Ÿ‘ฉโ€๐Ÿ‘งโ€๐Ÿ‘ฆ๐Ÿ‘ฉโ€๐Ÿ‘งโ€๐Ÿ‘ง๐Ÿ—ฃ๏ธ๐Ÿ‘ค๐Ÿ‘ฅ๐Ÿ‘ฃ
๐Ÿ’˜๐Ÿ’๐Ÿ’–๐Ÿ’—๐Ÿ’“๐Ÿ’ž๐Ÿ’•๐Ÿ’Ÿโฃ๏ธ๐Ÿ’”โค๏ธ๐Ÿงก๐Ÿ’›๐Ÿ’š๐Ÿ’™๐Ÿ’œ๐ŸคŽ๐Ÿ–ค๐Ÿค๐Ÿ’‹๐Ÿ’Œ๐Ÿ’ฏ๐Ÿ’ข๐Ÿ’ฅ๐Ÿ’ซ๐Ÿ’ฆ๐Ÿ’จ๐Ÿ•ณ๏ธ๐Ÿ’ฃ๐Ÿ’ฌ๐Ÿ‘๏ธโ€๐Ÿ—จ๏ธ๐Ÿ—จ๏ธ๐Ÿ—ฏ๏ธ๐Ÿ’ญ๐Ÿ’ค๐Ÿง๐Ÿšฎ๐Ÿšฐโ™ฟ๐Ÿšน๐Ÿšบ๐Ÿšป๐Ÿšผ๐Ÿšพ๐Ÿ›‚๐Ÿ›ƒ๐Ÿ›„๐Ÿ›…โš ๏ธ๐Ÿšธโ›”๐Ÿšซ๐Ÿšณ๐Ÿšญ๐Ÿšฏ๐Ÿšฑ๐Ÿšท๐Ÿ“ต๐Ÿ”žโ˜ข๏ธโ˜ฃ๏ธโฌ†๏ธโ†—๏ธโžก๏ธโ†˜๏ธโฌ‡๏ธโ†™๏ธโฌ…๏ธโ†–๏ธโ†•๏ธโ†”๏ธโ†ฉ๏ธโ†ช๏ธโคด๏ธโคต๏ธ๐Ÿ”ƒ๐Ÿ”„๐Ÿ”™๐Ÿ”š๐Ÿ”›๐Ÿ”œ๐Ÿ”๐Ÿ›โš›๏ธ๐Ÿ•‰๏ธโœก๏ธโ˜ธ๏ธโ˜ฏ๏ธโœ๏ธโ˜ฆ๏ธโ˜ช๏ธโ˜ฎ๏ธ๐Ÿ•Ž๐Ÿ”ฏโ™ˆโ™‰โ™Šโ™‹โ™Œโ™โ™Žโ™โ™โ™‘โ™’โ™“โ›Ž๐Ÿ”€๐Ÿ”๐Ÿ”‚โ–ถ๏ธโฉโญ๏ธโฏ๏ธโ—€๏ธโชโฎ๏ธ๐Ÿ”ผโซ๐Ÿ”ฝโฌโธ๏ธโน๏ธโบ๏ธโ๏ธ๐ŸŽฆ๐Ÿ”…๐Ÿ”†๐Ÿ“ถ๐Ÿ“ณ๐Ÿ“ดโ™€๏ธโ™‚๏ธโšง๏ธโœ–๏ธโž•โž–โž—โ™พ๏ธโ€ผ๏ธโ‰๏ธโ“โ”โ•โ—ใ€ฐ๏ธ๐Ÿ’ฑ๐Ÿ’ฒโš•๏ธโ™ป๏ธโšœ๏ธ๐Ÿ”ฑ๐Ÿ“›๐Ÿ”ฐโญ•โœ…โ˜‘๏ธโœ”๏ธโŒโŽโžฐโžฟใ€ฝ๏ธโœณ๏ธโœด๏ธโ‡๏ธยฉ๏ธยฎ๏ธโ„ข๏ธ#๏ธโƒฃ*๏ธโƒฃ0๏ธโƒฃ1๏ธโƒฃ2๏ธโƒฃ3๏ธโƒฃ4๏ธโƒฃ5๏ธโƒฃ6๏ธโƒฃ7๏ธโƒฃ8๏ธโƒฃ9๏ธโƒฃ๐Ÿ”Ÿ๐Ÿ” ๐Ÿ”ก๐Ÿ”ข๐Ÿ”ฃ๐Ÿ”ค๐Ÿ…ฐ๏ธ๐Ÿ†Ž๐Ÿ…ฑ๏ธ๐Ÿ†‘๐Ÿ†’๐Ÿ†“โ„น๏ธ๐Ÿ†”โ“‚๏ธ๐Ÿ†•๐Ÿ†–๐Ÿ…พ๏ธ๐Ÿ†—๐Ÿ…ฟ๏ธ๐Ÿ†˜๐Ÿ†™๐Ÿ†š๐Ÿˆ๐Ÿˆ‚๏ธ๐Ÿˆท๏ธ๐Ÿˆถ๐Ÿˆฏ๐Ÿ‰๐Ÿˆน๐Ÿˆš๐Ÿˆฒ๐Ÿ‰‘๐Ÿˆธ๐Ÿˆด๐ŸˆณใŠ—๏ธใŠ™๏ธ๐Ÿˆบ๐Ÿˆต๐Ÿ”ด๐ŸŸ ๐ŸŸก๐ŸŸข๐Ÿ”ต๐ŸŸฃ๐ŸŸคโšซโšช๐ŸŸฅ๐ŸŸง๐ŸŸจ๐ŸŸฉ๐ŸŸฆ๐ŸŸช๐ŸŸซโฌ›โฌœโ—ผ๏ธโ—ป๏ธโ—พโ—ฝโ–ช๏ธโ–ซ๏ธ๐Ÿ”ถ๐Ÿ”ท๐Ÿ”ธ๐Ÿ”น๐Ÿ”บ๐Ÿ”ป๐Ÿ’ ๐Ÿ”˜๐Ÿ”ณ๐Ÿ”ฒ
๐Ÿต๐Ÿ’๐Ÿฆ๐Ÿฆง๐Ÿถ๐Ÿ•๐Ÿฆฎ๐Ÿ•โ€๐Ÿฆบ๐Ÿฉ๐Ÿบ๐ŸฆŠ๐Ÿฆ๐Ÿฑ๐Ÿˆ๐Ÿˆโ€โฌ›๐Ÿฆ๐Ÿฏ๐Ÿ…๐Ÿ†๐Ÿด๐ŸŽ๐Ÿฆ„๐Ÿฆ“๐ŸฆŒ๐Ÿฎ๐Ÿ‚๐Ÿƒ๐Ÿ„๐Ÿท๐Ÿ–๐Ÿ—๐Ÿฝ๐Ÿ๐Ÿ‘๐Ÿ๐Ÿช๐Ÿซ๐Ÿฆ™๐Ÿฆ’๐Ÿ˜๐Ÿฆ๐Ÿฆ›๐Ÿญ๐Ÿ๐Ÿ€๐Ÿน๐Ÿฐ๐Ÿ‡๐Ÿฟ๏ธ๐Ÿฆ”๐Ÿฆ‡๐Ÿป๐Ÿปโ€โ„๏ธ๐Ÿจ๐Ÿผ๐Ÿฆฅ๐Ÿฆฆ๐Ÿฆจ๐Ÿฆ˜๐Ÿฆก๐Ÿพ๐Ÿฆƒ๐Ÿ”๐Ÿ“๐Ÿฃ๐Ÿค๐Ÿฅ๐Ÿฆ๐Ÿง๐Ÿ•Š๏ธ๐Ÿฆ…๐Ÿฆ†๐Ÿฆข๐Ÿฆ‰๐Ÿฆฉ๐Ÿฆš๐Ÿฆœ๐Ÿธ๐ŸŠ๐Ÿข๐ŸฆŽ๐Ÿ๐Ÿฒ๐Ÿ‰๐Ÿฆ•๐Ÿฆ–๐Ÿณ๐Ÿ‹๐Ÿฌ๐ŸŸ๐Ÿ ๐Ÿก๐Ÿฆˆ๐Ÿ™๐Ÿš๐ŸŒ๐Ÿฆ‹๐Ÿ›๐Ÿœ๐Ÿ๐Ÿž๐Ÿฆ—๐Ÿ•ท๏ธ๐Ÿ•ธ๏ธ๐Ÿฆ‚๐ŸฆŸ๐Ÿฆ ๐Ÿ’๐ŸŒธ๐Ÿ’ฎ๐Ÿต๏ธ๐ŸŒน๐Ÿฅ€๐ŸŒบ๐ŸŒป๐ŸŒผ๐ŸŒท๐ŸŒฑ๐Ÿชด๐ŸŒฒ๐ŸŒณ๐ŸŒด๐ŸŒต๐ŸŒพ๐ŸŒฟโ˜˜๏ธ๐Ÿ€๐Ÿ๐Ÿ‚๐Ÿƒ๐ŸŒ‘๐ŸŒ’๐ŸŒ“๐ŸŒ”๐ŸŒ•๐ŸŒ–๐ŸŒ—๐ŸŒ˜๐ŸŒ™๐ŸŒš๐ŸŒ›๐ŸŒœ๐ŸŒก๏ธโ˜€๏ธ๐ŸŒ๐ŸŒž๐Ÿชโญ๐ŸŒŸ๐ŸŒ ๐ŸŒŒโ˜๏ธโ›…โ›ˆ๏ธ๐ŸŒค๏ธ๐ŸŒฅ๏ธ๐ŸŒฆ๏ธ๐ŸŒง๏ธ๐ŸŒจ๏ธ๐ŸŒฉ๏ธ๐ŸŒช๏ธ๐ŸŒซ๏ธ๐ŸŒฌ๏ธ๐ŸŒ€๐ŸŒˆ๐ŸŒ‚โ˜‚๏ธโ˜”โ›ฑ๏ธโšกโ„๏ธโ˜ƒ๏ธโ›„โ˜„๏ธ๐Ÿ”ฅ๐Ÿ’ง๐ŸŒŠ
๐Ÿ‡๐Ÿˆ๐Ÿ‰๐ŸŠ๐Ÿ‹๐ŸŒ๐Ÿ๐Ÿฅญ๐ŸŽ๐Ÿ๐Ÿ๐Ÿ‘๐Ÿ’๐Ÿ“๐Ÿฅ๐Ÿ…๐Ÿฅฅ๐Ÿฅ‘๐Ÿ†๐Ÿฅ”๐Ÿฅ•๐ŸŒฝ๐ŸŒถ๏ธ๐Ÿฅ’๐Ÿฅฌ๐Ÿฅฆ๐Ÿง„๐Ÿง…๐Ÿ„๐Ÿฅœ๐ŸŒฐ๐Ÿž๐Ÿฅ๐Ÿฅ–๐Ÿฅจ๐Ÿฅฏ๐Ÿฅž๐Ÿง‡๐Ÿง€๐Ÿ–๐Ÿ—๐Ÿฅฉ๐Ÿฅ“๐Ÿ”๐ŸŸ๐Ÿ•๐ŸŒญ๐Ÿฅช๐ŸŒฎ๐ŸŒฏ๐Ÿฅ™๐Ÿง†๐Ÿฅš๐Ÿณ๐Ÿฅ˜๐Ÿฒ๐Ÿฅฃ๐Ÿฅ—๐Ÿฟ๐Ÿงˆ๐Ÿง‚๐Ÿฅซ๐Ÿฑ๐Ÿ˜๐Ÿ™๐Ÿš๐Ÿ›๐Ÿœ๐Ÿ๐Ÿ ๐Ÿข๐Ÿฃ๐Ÿค๐Ÿฅ๐Ÿฅฎ๐Ÿก๐ŸฅŸ๐Ÿฅ ๐Ÿฅก๐Ÿฆ€๐Ÿฆž๐Ÿฆ๐Ÿฆ‘๐Ÿฆช๐Ÿฆ๐Ÿง๐Ÿจ๐Ÿฉ๐Ÿช๐ŸŽ‚๐Ÿฐ๐Ÿง๐Ÿฅง๐Ÿซ๐Ÿฌ๐Ÿญ๐Ÿฎ๐Ÿฏ๐Ÿผ๐Ÿฅ›โ˜•๐Ÿต๐Ÿถ๐Ÿพ๐Ÿท๐Ÿธ๐Ÿน๐Ÿบ๐Ÿป๐Ÿฅ‚๐Ÿฅƒ๐Ÿฅค๐Ÿงƒ๐Ÿง‰๐ŸงŠ๐Ÿฅข๐Ÿฝ๏ธ๐Ÿด๐Ÿฅ„๐Ÿ”ช๐Ÿบ
๐ŸŽƒ๐ŸŽ„๐ŸŽ†๐ŸŽ‡๐Ÿงจโœจ๐ŸŽˆ๐ŸŽ‰๐ŸŽŠ๐ŸŽ‹๐ŸŽ๐ŸŽŽ๐ŸŽ๐ŸŽ๐ŸŽ‘๐Ÿงง๐ŸŽ€๐ŸŽ๐ŸŽ—๏ธ๐ŸŽŸ๏ธ๐ŸŽซ๐ŸŽ–๏ธ๐Ÿ†๐Ÿ…๐Ÿฅ‡๐Ÿฅˆ๐Ÿฅ‰โšฝโšพ๐ŸฅŽ๐Ÿ€๐Ÿ๐Ÿˆ๐Ÿ‰๐ŸŽพ๐Ÿฅ๐ŸŽณ๐Ÿ๐Ÿ‘๐Ÿ’๐Ÿฅ๐Ÿ“๐Ÿธ๐ŸฅŠ๐Ÿฅ‹๐Ÿฅ…โ›ณโ›ธ๏ธ๐ŸŽฃ๐Ÿคฟ๐ŸŽฝ๐ŸŽฟ๐Ÿ›ท๐ŸฅŒ๐ŸŽฏ๐Ÿช€๐Ÿช๐ŸŽฑ๐Ÿ”ฎ๐Ÿงฟ๐ŸŽฎ๐Ÿ•น๏ธ๐ŸŽฐ๐ŸŽฒ๐Ÿงฉ๐Ÿงธโ™ ๏ธโ™ฅ๏ธโ™ฆ๏ธโ™ฃ๏ธโ™Ÿ๏ธ๐Ÿƒ๐Ÿ€„๐ŸŽด๐ŸŽญ๐Ÿ–ผ๏ธ๐ŸŽจ๐Ÿงต๐Ÿงถ
๐Ÿ‘“๐Ÿ•ถ๏ธ๐Ÿฅฝ๐Ÿฅผ๐Ÿฆบ๐Ÿ‘”๐Ÿ‘•๐Ÿ‘–๐Ÿงฃ๐Ÿงค๐Ÿงฅ๐Ÿงฆ๐Ÿ‘—๐Ÿ‘˜๐Ÿฅป๐Ÿฉฑ๐Ÿฉฒ๐Ÿฉณ๐Ÿ‘™๐Ÿ‘š๐Ÿ‘›๐Ÿ‘œ๐Ÿ‘๐Ÿ›๏ธ๐ŸŽ’๐Ÿ‘ž๐Ÿ‘Ÿ๐Ÿฅพ๐Ÿฅฟ๐Ÿ‘ ๐Ÿ‘ก๐Ÿฉฐ๐Ÿ‘ข๐Ÿ‘‘๐Ÿ‘’๐ŸŽฉ๐ŸŽ“๐Ÿงขโ›‘๏ธ๐Ÿ“ฟ๐Ÿ’„๐Ÿ’๐Ÿ’Ž๐Ÿ”‡๐Ÿ”ˆ๐Ÿ”‰๐Ÿ”Š๐Ÿ“ข๐Ÿ“ฃ๐Ÿ“ฏ๐Ÿ””๐Ÿ”•๐ŸŽผ๐ŸŽต๐ŸŽถ๐ŸŽ™๏ธ๐ŸŽš๏ธ๐ŸŽ›๏ธ๐ŸŽค๐ŸŽง๐Ÿ“ป๐ŸŽท๐ŸŽธ๐ŸŽน๐ŸŽบ๐ŸŽป๐Ÿช•๐Ÿฅ๐Ÿ“ฑ๐Ÿ“ฒโ˜Ž๏ธ๐Ÿ“ž๐Ÿ“Ÿ๐Ÿ“ ๐Ÿ”‹๐Ÿ”Œ๐Ÿ’ป๐Ÿ–ฅ๏ธ๐Ÿ–จ๏ธโŒจ๏ธ๐Ÿ–ฑ๏ธ๐Ÿ–ฒ๏ธ๐Ÿ’ฝ๐Ÿ’พ๐Ÿ’ฟ๐Ÿ“€๐Ÿงฎ๐ŸŽฅ๐ŸŽž๏ธ๐Ÿ“ฝ๏ธ๐ŸŽฌ๐Ÿ“บ๐Ÿ“ท๐Ÿ“ธ๐Ÿ“น๐Ÿ“ผ๐Ÿ”๐Ÿ”Ž๐Ÿ•ฏ๏ธ๐Ÿ’ก๐Ÿ”ฆ๐Ÿฎ๐Ÿช”๐Ÿ“”๐Ÿ“•๐Ÿ“–๐Ÿ“—๐Ÿ“˜๐Ÿ“™๐Ÿ“š๐Ÿ““๐Ÿ“’๐Ÿ“ƒ๐Ÿ“œ๐Ÿ“„๐Ÿ“ฐ๐Ÿ—ž๏ธ๐Ÿ“‘๐Ÿ”–๐Ÿท๏ธ๐Ÿ’ฐ๐Ÿช™๐Ÿ’ด๐Ÿ’ต๐Ÿ’ถ๐Ÿ’ท๐Ÿ’ธ๐Ÿ’ณ๐Ÿงพ๐Ÿ’นโœ‰๏ธ๐Ÿ“ง๐Ÿ“จ๐Ÿ“ฉ๐Ÿ“ค๐Ÿ“ฅ๐Ÿ“ฆ๐Ÿ“ซ๐Ÿ“ช๐Ÿ“ฌ๐Ÿ“ญ๐Ÿ“ฎ๐Ÿ—ณ๏ธโœ๏ธโœ’๏ธ๐Ÿ–‹๏ธ๐Ÿ–Š๏ธ๐Ÿ–Œ๏ธ๐Ÿ–๏ธ๐Ÿ“๐Ÿ’ผ๐Ÿ“๐Ÿ“‚๐Ÿ—‚๏ธ๐Ÿ“…๐Ÿ“†๐Ÿ—’๏ธ๐Ÿ—“๏ธ๐Ÿ“‡๐Ÿ“ˆ๐Ÿ“‰๐Ÿ“Š๐Ÿ“‹๐Ÿ“Œ๐Ÿ“๐Ÿ“Ž๐Ÿ–‡๏ธ๐Ÿ“๐Ÿ“โœ‚๏ธ๐Ÿ—ƒ๏ธ๐Ÿ—„๏ธ๐Ÿ—‘๏ธ๐Ÿ”’๐Ÿ”“๐Ÿ”๐Ÿ”๐Ÿ”‘๐Ÿ—๏ธ๐Ÿ”จ๐Ÿช“โ›๏ธโš’๏ธ๐Ÿ› ๏ธ๐Ÿ—ก๏ธโš”๏ธ๐Ÿ”ซ๐Ÿน๐Ÿ›ก๏ธ๐Ÿ”ง๐Ÿ”ฉโš™๏ธ๐Ÿ—œ๏ธโš–๏ธ๐Ÿฆฏ๐Ÿ”—โ›“๏ธ๐Ÿงฐ๐Ÿงฒโš—๏ธ๐Ÿงช๐Ÿงซ๐Ÿงฌ๐Ÿ”ฌ๐Ÿ”ญ๐Ÿ“ก๐Ÿ’‰๐Ÿฉธ๐Ÿ’Š๐Ÿฉน๐Ÿฉบ๐Ÿšช๐Ÿ›๏ธ๐Ÿ›‹๏ธ๐Ÿช‘๐Ÿšฝ๐Ÿšฟ๐Ÿ›๐Ÿช’๐Ÿงด๐Ÿงท๐Ÿงน๐Ÿงบ๐Ÿงป๐Ÿงผ๐Ÿงฝ๐Ÿงฏ๐Ÿ›’๐Ÿšฌโšฐ๏ธโšฑ๏ธ๐Ÿ—ฟ
๐ŸŒ๐ŸŒŽ๐ŸŒ๐ŸŒ๐Ÿ—บ๏ธ๐Ÿ—พ๐Ÿงญ๐Ÿ”๏ธโ›ฐ๏ธ๐ŸŒ‹๐Ÿ—ป๐Ÿ•๏ธ๐Ÿ–๏ธ๐Ÿœ๏ธ๐Ÿ๏ธ๐Ÿž๏ธ๐ŸŸ๏ธ๐Ÿ›๏ธ๐Ÿ—๏ธ๐Ÿงฑ๐Ÿ˜๏ธ๐Ÿš๏ธ๐Ÿ ๐Ÿก๐Ÿข๐Ÿฃ๐Ÿค๐Ÿฅ๐Ÿฆ๐Ÿจ๐Ÿฉ๐Ÿช๐Ÿซ๐Ÿฌ๐Ÿญ๐Ÿฏ๐Ÿฐ๐Ÿ’’๐Ÿ—ผ๐Ÿ—ฝโ›ช๐Ÿ•Œ๐Ÿ›•๐Ÿ•โ›ฉ๏ธ๐Ÿ•‹โ›ฒโ›บ๐ŸŒ๐ŸŒƒ๐Ÿ™๏ธ๐ŸŒ„๐ŸŒ…๐ŸŒ†๐ŸŒ‡๐ŸŒ‰โ™จ๏ธ๐ŸŽ ๐ŸŽก๐ŸŽข๐Ÿ’ˆ๐ŸŽช๐Ÿš‚๐Ÿšƒ๐Ÿš„๐Ÿš…๐Ÿš†๐Ÿš‡๐Ÿšˆ๐Ÿš‰๐ŸšŠ๐Ÿš๐Ÿšž๐Ÿš‹๐ŸšŒ๐Ÿš๐ŸšŽ๐Ÿš๐Ÿš‘๐Ÿš’๐Ÿš“๐Ÿš”๐Ÿš•๐Ÿš–๐Ÿš—๐Ÿš˜๐Ÿš™๐Ÿšš๐Ÿš›๐Ÿšœ๐ŸŽ๏ธ๐Ÿ๏ธ๐Ÿ›ต๐Ÿฆฝ๐Ÿฆผ๐Ÿ›บ๐Ÿšฒ๐Ÿ›ด๐Ÿ›น๐Ÿš๐Ÿ›ฃ๏ธ๐Ÿ›ค๏ธ๐Ÿ›ข๏ธโ›ฝ๐Ÿšจ๐Ÿšฅ๐Ÿšฆ๐Ÿ›‘๐Ÿšงโš“โ›ต๐Ÿ›ถ๐Ÿšค๐Ÿ›ณ๏ธโ›ด๏ธ๐Ÿ›ฅ๏ธ๐Ÿšขโœˆ๏ธ๐Ÿ›ฉ๏ธ๐Ÿ›ซ๐Ÿ›ฌ๐Ÿช‚๐Ÿ’บ๐Ÿš๐ŸšŸ๐Ÿš ๐Ÿšก๐Ÿ›ฐ๏ธ๐Ÿš€๐Ÿ›ธ๐Ÿ›Ž๏ธ๐ŸงณโŒ›โณโŒšโฐโฑ๏ธโฒ๏ธ๐Ÿ•ฐ๏ธ๐Ÿ•›๐Ÿ•ง๐Ÿ•๐Ÿ•œ๐Ÿ•‘๐Ÿ•๐Ÿ•’๐Ÿ•ž๐Ÿ•“๐Ÿ•Ÿ๐Ÿ•”๐Ÿ• ๐Ÿ••๐Ÿ•ก๐Ÿ•–๐Ÿ•ข๐Ÿ•—๐Ÿ•ฃ๐Ÿ•˜๐Ÿ•ค๐Ÿ•™๐Ÿ•ฅ๐Ÿ•š๐Ÿ•ฆ
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