另类国产人妖-另类激情图片-另类激情图区-另类激情文学-另类老熟女-另类人妖影院-另类日韩-另类三区

explorar

An_AI_started_tasting_colours_and_shapes_That_is_more_human_than_you_might_think.txt

izrotww

19 Sep 2025(atualizado 19/09/2025 às 15h54)

An AI started 'tasting' colours and shapes. That is more human than you might think23 December 2024S

Temas

Compartilhe

Ministro do Uni?o usa boné com frase 'Brasil Soberano' em meio a desembarque do partido do governoAn_AI_started_tasting_colours_and_shapes_That_is_more_human_than_you_might_think.txt

An_AI_started_tasting_colours_and_shapes_That_is_more_human_than_you_might_think.txt

An AI started 'tasting' colours and jogos ps4 para familiashapes. That is more human than you might think23 December 2024ShareSaveDavid RobsonShareSaveEstudio Santa RitaThe brain often blurs the senses – a fact that marketers often use in the design of food packaging. And AIs appear to do the same.What is the flavour of a pink sphere? And what is the sound of a Sauvignon Blanc? Such questions may sound ridiculous, but a huge body of literature shows us that the human brain naturally merges sensory experiences. We may not be conscious of the phenomenon, but we associate different colours, shapes and sounds with different flavours in ways that can subtly shape our perceptual experience, for example.The colour of our glass, or music playing in the background of a bar, can determine how sweet or musky a wine tastes, for instance. "This cross talk between the senses is happening almost on an ongoing basis all the time," explains Carlos Velasco at the BI Norwegian Business School in Oslo, Norway. In extreme cases it can manifest in a blurred sensory experience for some people where words might trigger specific tastes or music produces a riot of colour – something known as synaesthesia. And while the idea that you can "taste" a colour or sound may seem absurd enough, Velasco's latest research suggests that generative artificial intelligence systems may also do this too. As with all AI algorithms, this is largely a reflection of biases in the data they were trained on, so they are perhaps just highlighting how common these associations may actually be. But Velasco and his colleagues hope to use this fact to find many other ways to hack human senses.Eating with the eyesFirst, a note on terminology. Scientists use the term "sensory modality" to describe the means that the body uses to encode information – through, for example, our taste buds, ear drums, the retina in our eyes or the "tactile corpuscles" in our skin. The associations that we tend to form between different sensory qualities are therefore known as "cross-modal correspondences".Estudio Santa RitaHumans blend our sensory experience of the world around us surprisingly often (Credit: Estudio Santa Rita)Experimental evidence for this phenomenon first emerged in the 1970s, with studies suggesting that red and pink hues are associated with sweetness, yellow or green with sourness, white with saltiness and brown or black with bitterness. These general patterns have now been replicated many times since, using multiple experimental methods.Participants may be asked for their subjective judgement of abstract questions such as: "On a scale from 1 to 10, with 10 being the most sweet, how sweet is the colour red?" From this, you can see that, on average, each colour has a unique flavour profile shared by large numbers of people across different cultures. A multinational collaboration, led by Xiaoang Wang at Tsinghua University in China, found similar cross-modal correspondences in Chinese, Indian, and Malaysian participants.Alternatively, participants may be given a particular food or drink presented in multiple colours, and asked to judge the taste of each one. Eriko Sugimori and Yayoi Kawasaki at Waseda University in Japan, for instance, have found that bitter chocolate tastes considerably sweeter when it is wrapped in pink, rather than black, packaging.AI v the MindThis article is part of AI v the Mind, a series that aims to explore the limits of cutting-edge AI, and learn a little about how our own brains work along the way. With some expert help, each article pits different AI tools against the human mind, asking probing questions designed to test the limits of intelligence. Can a machine write a better joke than a professional comedian, or unpick a moral conundrum more elegantly than a philosopher? We hope to find out.The shapes of food can have similar effects. We tend to associate rounder shapes with sweetness, while spikier shapes are considered to be more sour or bitter – with knock-on effects on people's perceptions of the foods. We eat with our eyes as well as our tongues. The origin of these associations is still a matter of debate. "The safest assumption is that we learn them all," says Charles Spence, the head of the cross-modal research laboratory at the University of Oxford. "They could be thought of as kind of the internalisation of the statistics of the environment. In nature, fruits go from green, when they are sour, to redder and warmer hues, when they are sweeter. If we internalise that statistic, associating reddish hues with sweeter taste, we know which trees to climb for the for the fruit that will sustain us."The associations between shape and taste are harder to explain. "It may be the emotions associated with or triggered by the stimuli," Spence says. We may associate sweetness with pleasure, for example, and we prefer round shapes since they are less likely to hurt us, compared to something sharp. As a result, we start to associate sweetness with curviness through this indirect association. Bitter substances, in contrast, are more likely to be poisonous – and so we might link them to sharp shapes that also have more potential to cause bodily harm.Associative AIThe rapid rise of AI inspired Velasco, Spence, and their colleague Kosuke Motoki at the University of Tokyo to investigate whether generative AIs – trained on human data – would report the same associations. They asked the AI-powered chatbot ChatGPT to answer the same kinds of prompts that had previously been given to human participants. For example:"To what extent do you associate round shapes with sweet, sour, salty, bitter, and umami tastes? Please answer this question on a 7-point from 1 (not at all) to 7 (very much)."And… "Among the 11 colours listed (black, blue, brown, green, grey, orange, pink, purple, red, white, yellow), which colour do you think best goes well with sweet tastes?"Averaging their results across hundreds of chats in English, Spanish and Japanese, the researchers found that the AI did indeed reflect the patterns commonly found in human participants – though there were some differences between the versions of the AI they used.Overall, ChatGPT-4o more reliably reflected the human associations than ChatGPT-3.5. "The differences likely stem from variations in model architecture, such as the increased number of parameters in ChatGPT-4o, as well as a larger and more diverse training set," says Motoki.Of all our festive favourites, then, what tunes would go best with mulled wine and mince pies?Silicon brainstormingIntrigued, I decided to investigate whether other large language models (LLMs) such as Google's Gemini, might also reflect our sensory associations. When I asked it to say what colour is sweetest, it responded: "Many people associate pink with sweetness, likely due to its association with sugary treats like cotton candy and bubble gum." It also named green for sour, white for salty, and black for bitter. The match would seem almost uncanny – except, midway through its answer, Gemini pointed me towards one of Spence's previous research papers on these cross-modal associations, suggesting that it had drawn its response straight from the scientific literature. Spence had mentioned this possibility in our conversation. "Given that we tested the large language models on what is already known, and what is already hence published in literature, maybe it's just feeding back what it has read," he says.In the future, he hopes to investigate whether generative AIs can generate hypotheses for other cross-modal correspondences that have not yet been documented in the scientific literature, but which could then be tested on human subjects."You could potentially use large language models and generative AI to discover the perfect correspondences to whichever dimensions you're interested in," he says. This approach might then be useful for marketeers who hope to design products or packaging that riff on our brain's existing associations. There are some caveats, of course. AIs can sometimes "hallucinate" – that is, make up misleading responses to questions. And even if their responses are reliable, they may lack the nuances or idiosyncrasies provided by our own brains that can add excitement or interest to designs. Sometimes, you may wish to riff on the intuitive associations between sensory qualities without necessarily copying them entirely.For this reason, any cross-modal correspondences identified by AI will need to be combined with human creativity, says Velasco. "It's inspiration, rather than a definite solution."Christmas accompanimentsWe will need more evidence before we place too much faith in AI's judgements, but writing this piece in the run-up to Christmas, I couldn't help but wonder whether ChatGPT could give me some advice for a drinks party. Spence has previously shown that people tend to agree on which pieces of music complement different types of wine. With its high tempo and pitch, Debussy's Jardin Sous la Pluie seems to go better with citrusy whites, while the piano and cello duet of Rachmaninoff's Vocalise tends to bring out the fuller-bodied flavours of reds. Of all our festive favourites, then, what tunes would go best with mulled wine and mince pies?Estudio Santa RitaThe rich flavours of red wines can be enhanced with the right kind of music, research has found (Credit: Estudio Santa Rita)"The complex flavour profile of mulled wine – rich with spices like cinnamon, clove, and star anise, combined with fruity and warming notes – calls for music that is equally layered, warm, and evocative," ChatGPT told me. "A perfect accompaniment could be Carol of the Bells performed with a lush orchestration. Its cascading, layered melodies evoke a sense of festive magic and warmth that mirrors the interplay of spices in mulled wine."I'm not sure that's quite the vibe I'm going for – you might recall that piece of music's use in a key tension building scene in the Christmas film Home Alone – so I ask for some pop or jazz alternatives."Have Yourself a Merry Little Christmas performed by Ella Fitzgerald or Diana Krall. The sultry, smooth tones of jazz vocals and warm instrumentation echo the comforting and layered flavours of the mulled wine," it suggests. Other options include Underneath the Tree by Kelly Clarkson "emphasising the celebratory spirit while balancing the wine's depth with an energetic vibe" or Christmas Time is Here by the Vince Guaraldi Trio, "a mellow yet jazzy track with just the right amount of sophistication and charm to enhance a relaxed festive evening". We'll see if my guests agree.* David Robson is an award-winning science writer and author of The Intelligence Trap and The Expectation Effect. His latest book is The Laws of Connection: 13 Social Strategies That Will Transform Your Life, published by Canongate (UK) and Pegasus Books (USA & Canada) in June 2024. He is @davidarobson on Instagram and Threads.--For more technology news and insights, sign up to our Tech Decoded newsletter, while The Essential List delivers a handpicked selection of features and insights to your inbox twice a week.For more science, technology, environment and health stories from the BBC, follow us on Facebook, X and Instagram.AI v the MindArtificial intelligenceNeuroscienceBrainTechnologyInnovationFeatures

NEWSLETTER GRATUITA

Nexo | Hoje

Video shows life-sized WW2 Lincolnshire bomber sculpture from air.txt

Série 'Máscaras de oxigênio n?o cair?o automaticamente', da HBO Max, terá segunda temporada? Saiba tudo ponto quente e os abrangente moda.

GRáFICOS

nos eixos

Watch rare Gobi bear's reaction to finding water.txt

Data centers de IA: a corrida do ouro digital - O Assunto #1540 entretenimento e os conhecimento abrangente.

Navegue por temas

Malafaia alvo da PF: Como foi rea??o do pastor ao ser recebido pela Polícia Federal Livro da Vez #6: Romance de n?o fic??o e jornalismo com Daniela Arbex Autora de série inédita do Globoplay desenvolve filme sobre disputa por guarda de cachorro Gleisi critica bolsonaristas por uso de bandeira dos EUA em ato de 7 de Setembro Provas usadas pela PGR no processo da trama golpista contrap?em argumentos das defesas dos réus Decis?o de Dino cria 'caos jurídico', diz especialista em Direito Internacional Lula participa de desfile de 7 de Setembro com recados a Trump e destaque para COP30 em Belém Guerra na Ucrania: o que está na mesa de negocia??o - O Assunto #1536 Após Motta ser cobrado por anistia em atos bolsonaristas, oposi??o tenta fazer Camara definir relator para projeto Malafaia alvo da PF: Como foi rea??o do pastor ao ser recebido pela Polícia Federal
久热热热 | 2024四虎影视最新在线 | 2022国产福利在线观看 | 久久精品麻豆日日躁夜夜躁 | 欧美精品华人在线 | WWW.一本色道88久久爱 | 日韩高清在线播放不卡 | 午夜成人在线视频 | 国产黄 | 免费不卡视频一卡二卡 | 欧美一区二区三区性 | 特黄A又粗又大黄又爽A片 | 日韩黄色一级片 | 五月激情婷婷丁香 | 久久精品18 | 人人看人人干 | 亚洲性线免费观看视频成熟 | 另类视频综合 | 制服a片 | 欧美黄www免费 | 一本到无线中字 | 蜜臀亚洲AV永久无码精品老司机 | 国产在线视频在线 | 日韩欧美在线视频一区二区 | 亚洲午夜视频 | 亚洲欧美一区二区三区麻豆 | 国产成人在线精品 | www.香蕉 | 日本国产精品无码字幕在线观看 | 日韩在线不卡视频 | 欧美巨乳亚洲第一社区 | 麻豆文化传媒一区 | 成人不卡视频 | 亚洲国产美女 | 亚洲第一激情 | 国产免费午夜高清 | 免费看少妇高潮A片特黄 | 99久久精品视香蕉蕉er热资源 | 男女啪啪18禁无遮挡激烈直播 | 一区二区三区视频 | 黑人操亚洲 | 成人网在线 | 四房播播开心 | 欧美黄色一级视频 | 九九热免费在线观看 | 手机播放一卡二卡三在线观看 | 美妇市长的娇呻浪吟 | 妞色网| 色天使论坛邀请码 | 在线黄色毛片 | 在线观看中文字幕码2024不用下载 | 一个人看的www免费观看视频 | 欧洲乱码卡一卡二 | 久久国产欧美国日产综合抖音 | 国产精品原创永久在线观看 | 久久精品这里只有精品 | 国产最新免费高清在线视频 | 波多野结衣全集在线观看 | 国产A色情成人片 | 免费黄色小网站 | 天天干在线免费视频 | 插一插射一射视频 | 中文字幕日产乱码国内自 | 国产免费久久精品99久久 | 插插插色欲综合网 | 久热综合| 美女天天操 | 在线观看国产三级视频 | 黄色在线播放网站 | 婷婷中文 | 小说区视频区 | 激情亚洲AV在线一区二区三区 | 无套内谢少妇毛片AAAA片免费 | 免费精品一区二区三区A片在线 | 自拍三区播 | 偷看农村女人做爰毛片色 | 最好韩国日本高清免费 | 特级 毛片 | 久久综合结合久久很很很97色 | 国产又色又爽又黄的男女小说免费 | 亚洲欧洲自拍拍偷 | 国内精品A片XXX久久久 | 看国产一级片 | 国产人妻精品无码AV在线浪潮 | 成人黄网大全在线观看 | 美国毛片免费观看 | 缴情五月天 | 日本一在线中文字幕天堂 | 欧美黑人在线视频 | 一级一级女人18毛片 | 艳妇臀荡乳欲伦交换H在线观看 | 亚洲黄色免费观看 | 最近更新中文字幕2018全集免费 | 无套内谢少妇毛片A片免 | 成人免费一区二区无码视频 | 麻豆AV蜜桃AV久久 | 日本三级很黄试看120秒 | 黑人狂躁日本妞无码A片 | 综合色播 | 视频二区 调教中字 知名国产 | 王梅乱LUN第5部分 | 狠狠色噜噜狠狠狠狠69 | 老司机免费午夜精品视频 | 亚洲色欲色欲在线大片 | 黄网在线| 久久国产精品一区 | 亚洲欧美一区二区三区导航 | 国产超碰AV人人做人人爽 | 琪琪SEE色原网色原网站18 | 国产黄色在线视频 | 九九香蕉 | 黄址在线观看 | BT天堂网在线WWW中文 | 日韩精品欧美在线视频在线 | AV性色AV久久无码AI换脸 | SM女人捆绑调教网站A片软件 | 狠狠色噜噜狠狠狠狠色综合久 | 亚洲乱码AV久久久久久久 | 久污tv| 影音先锋影院中文无码 | 久久国产AVJUST麻豆 | 精品99re66 | 在线免费观看最新电影 | 免费电影伦理片 | 国产激情艳情在线看视频 | 在线播放真实国产乱子伦 | 成人毛片18岁女人毛片免费看 | 一级做a爱片在线播放 | 成熟妇女A片高潮免费看 | 久久久香蕉视频 | 午夜精品A片一区二区三区 午夜激情在线观看 | 欧美日韩精品一区二区三区不卡 | 2021手机日本卡一卡二新区 | 亚洲 欧美 中文 在线 视频 | 黄色毛片网站 | 四虎永久在线精品免费观看 | 久久精品视频网站 | 拉风色影院 | 久久乐国产综合亚洲精品 | 青青草在9线观看 | 日产学生妹在线观看 | 原来新神马电影手机版 | 精品人妻无码日本一区二区三区 | 国产九九九九九九九A片 | 黄色片视频网 | 美女脱18以下禁止看免费 | 国产在线观看精品一区二区三区91 | 欧美乱妇日本无乱码特黄大片 | 人禽互交50篇视频 | 亚洲 综合 校园 欧美 制服 | 自偷自拍亚洲欧美清纯唯美 | 91尤物国产尤物福利在线 | 在线看片v免费观看视频777 | 葫芦娃视频成人APP 蝴蝶谷成人 | 国产一区二区三区在线影院 | 亚洲AV成人天堂影院 | 国产免费久久精品久久久 | 嗯啊好爽视频 | 国产精品亚洲污污网站入口 | 精品人妻伦九区久久AAA片麻豆 | 午夜在线播放 | 国产精品2022不卡在线观看 | 国内精品亚洲 | 日韩亚洲制服丝袜中文字幕 | 国产ts在线观看 | 色中色论坛网址 | 2k电影网| 精品久久一区二区 | 久久六 | 亚洲精品无码高潮喷水A片软件 | 久久99精品久久久久久三级 | 亚洲国产成人久久一区久久 | 狠狠爱在线影院 | 欧美一区二区三区不卡免费 | 亚洲午夜无码毛片AV久久小说 | 色情综合色情播五月 | 老司机精品视频午夜免费视频 | 一本色道久久综合狠狠躁篇 | 欧美日韩在线观看视频 | 无码国产欧美一区二区三区不卡 | 中文字幕日本特黄AA毛片 | 免费一级肉体全黄毛片 | 午夜天堂一区人妻 | 欧美日韩精品一区二区三区视频 | 日本无码MV免费视频在线 | 国产精品国产三级国AV在线观看 | 国产成人在线观看免费网站 | 青青草国产免费一区二区 | 青青草久热精品视频在线观看 | 可以看三级的网站 | 精品国产91乱码一区二区三区 | 最爱视频在线直播www | 欧美日韩另类在线观看视频 | 特级A欧美做爰AAAAA片 | 工口里番外番全彩无遮挡 | 国产精品人妻一码二码 | 亚洲一卡2卡3卡4卡乱码网站 | 亚洲aaaa级特黄毛片 | 亚洲AV成人天堂影院 | 人人牛牛| 香港三级日本三级韩国三级 | 四虎无码永久在线影库网址一个人 | 性猛交xxxx乱大交孕妇 | 亚洲啪| 国产精品久久久久久久久久影院 | 天天干天天爽天天操 | 亚洲国产熟妇无码一区二区 | 青青伊人91久久福利精品 | GV无套内射日本帅哥 | 麻豆国产精品AV色拍综合 | 高H黄暴NP辣H一女多男 | 国产一区 在线播放 | 高清毛片AAAAAAAAA片 | 中国黄色一级毛片 | 欧美性高清极品猛交 | 亚洲午夜精品A片久久软件 亚洲午夜无码久久久久蜜臀av | 双性精跪趴灌满h室友4p | 影音先锋av男人色情 | 欧美性做爰又大又粗又长 | 天天碰夜夜操 | 最近手机中文字幕大全首页 | 真人性做爰无遮A片免费 | 日本特黄无码毛片在线看 | 天天操天天射天天 | 无套内谢少妇毛片A片免费视频 | 欧美久| 久久婷婷无码欧美日韩 | 鲁鲁在线观看 | 国产亚洲精品久久无码98 | 日本jizz中国 | 波多野结衣在线观看视频 | 高清国产一级精品毛片基地 | 2022黄网 | 欧美黄色一级网站 | 国内乱码一线二线三线 | 亚洲小说欧美另类激情 | 欧美精品18videosex性欧美 | 果冻传媒和91制片厂a | 国产第一页浮力影院草草影视 | 国产国语 毛片高清视频 | 欧美91| 男女做羞羞的事视频免费观看无遮挡 | 女人被添全过程A片试看 | 亚洲欧洲无码AV在线观看你懂的 | 日韩视频专区 | 日日摸天天碰中文字幕你懂的 | 亚洲中文字幕一二三四区苍井空 | 高H公车全肉污文PLAYBL文 | 丁香天堂网 | 国产小情侣自拍 | 亚洲免费三级电影 | 将军边走边挺进她H树林 | 在线观看中文字幕一区 | 中文字幕人妻熟女人妻 | 国产ww久久久久久久久久 | 欧美激情91| 日本高清视频中文无码 | 伊人久久国产精品 | 少妇A片出轨人妻偷人视频 少妇高清性色生活片成人版 | 色激情综合网 | 成人A片产无码免费视频软件 | 色欲AV久久人妻蜜臀绯色 | www.九色.com | 最近中文字幕在线看免费完整版 | 久久亚洲影院 | 色播视频在线观看 | 上司揉捏人妻丰满双乳电影 | 伊人蕉久中文字幕无码专区 | 色欲久久99精品久久久久久AV | 一起看电影网 | 欧美播播 | 国产成人精品亚洲2020 | 日本三级香港三级三级人!妇久 | 日本三级香港三级人妇 下载 | 亚洲精品国产精品国自产小说 | 神马电影dy888午夜我不卡 | 在线观看高清影院WWW | 亚洲AV国产精品无码A片 | 麻豆传媒在线完整视频免费 | 浪潮色诱AV久久久久久久 | 狠狠色噜噜狠狠狠888奇米 | 亚洲18岁禁止| 国产妇女性爽视频免费 | 午夜免费 | 色播视频在线观看 | 精品玖玖玖视频在线观看 | 国产日韩欧美精品一区二区三区 | 欧美黄色大片免费观看 | 午夜福利体验免费体验区 | 99视屏| 亚洲精品国产精品国自产99. | 偷拍自拍 亚洲色图 | 久久视频这里只精品99re8久 | 三个馊子伦着玩小说冫 | 成午夜精品一区二区三区精品 | 守寡的岳引诱我岳潮湿的肥厚 | 品色永久免费论坛 | 校园激情人妻古典武侠 | 乱码精品一区二区三区 | 无码欧美又大又色又爽AAAA片 | 综合另类| 天天操操操操操操 | 久久三级网站 | 小h片在线观看 | 国产综合区 | 王伟忠周梦莹最新章节 | 中文字幕一区二区区免 | 日本特黄群交A片视频 | 最新日韩欧美不卡一二三区 | 欧美一级免费观看 | 精品9e精品视频在线观看 | 大战丰满老熟妇重囗味视频 | 国产精品久久久久人妻无码 | 羞羞答答APP安装以后在手机哪里 | 国产精品永久免费自在线观看 | 久久国产偷 | 中国一级特黄大片毛片 | a级片大全 | 亚洲一卡2卡三卡4卡 127 | 中文字幕精品视频在线观看 | 久久AV无码乱码A片无码蜜桃 | 午夜视频高清在线aaa | 搡女人真爽免费视频大全 | 日本一区二区三区视频在线观看 | 在线看黄色的网站 | 五月天丁香婷婷开心激情五月 | 国产AV精国产传媒 | 99国内精品久久久久久久 | 国产又湿又黄又硬又刺激视频 | 人人爽久久涩噜噜噜AV | 东北老女人大叫爽死啦 | 91日本在线视频 | 国产一级黄色 | 草莓视频app深夜福利 | 国产成人禁片免费观看视频 | 2021久久精品免费观看 | 小小女视频网站色琼网站 | 四虎影视影院手机在线看 | 97在线人人| 东北60岁熟女露脸在线 | 色综合久久天天综合观看 | 欧美日本韩国亚洲 | 国产亚洲精品欧洲在线视频 | 国产麻豆VIDEOXXXX实拍 | 簧片电影大全网站 | 客客色成人网 | 最近中文字幕高清中文字幕MV | 二区三区在线 | 99视频精品全国在线观看 | 久久精品麻豆日日躁夜夜躁妓女 | www色情免费观看日本 | 自拍 亚洲 偷拍 青涩 | 久久国产成人精品Av | 中文字幕一区二区三区视频在线 | 艳美动漫在线观看 | 最新黄yyid| 四房影院 | 狠狠色丁香婷婷久久综合考虑 | 麻豆AV久久无码精品九九 | 亚洲欧美国产精品久久久 | 国产高清第一页 | 99RE6这里只有精品国产AV | 韩国高清乱理伦片在线观看 | 国产综合区 | 成人免费在线电影 | 久久婷婷五月综合色国产 | 国产三级多多影院 | 欧美va天堂| 年轻漂亮的妺妺中文字幕版 | 日韩欧美色| www欧美在线观看 | 免费观看的成年网站在线播放 | 亚洲综合AV久久国产精品凡士林 | 妈妈色成人网 | 俺去也网站 | 无码欧美毛片一区二区三在线视频 | 成熟丰满毛茸茸 | 清纯女高中生沦陷H公交车 清纯校花挨脔日常H惩罚视频 | 精品中文字幕在线观看 | 星野亚希快播 | 日韩三级中文 | 亚洲1区2区3区精华液 | 麻豆AV久久无码精品久久 | 国产女女精品视频久热视频 | 最近中文字幕高清中文字幕1 | 国产苐1页影院草草影院 | 国产精品综合久成人 | 免费无码又爽又刺激A片小说 | 老妇的两片 肉唇 翻进翻出 | 在厨房被夫上司强迫中文 | 妺妺窝人体色WWW网站 | 亚洲欧美色图小说 | 狠狠色丁香婷婷久久综合考虑 | 精品无码国产AV一区二区三区 | 国产乱子伦精品无码码专区 | 亚洲欧美在线x视频 | 日日干日日草 | 清冷将军被C把腿张开NP产 | 性欧洲精品videos' | 亚洲Av -宅男色影视 | 日本护士喷水 | 精品国产96亚洲一区二区三区 | 神兵小将第一季免费观看 | 久九九精品免费视频 | 国产v国产v片大片线观看网站 | 亚洲中文字幕在线播放YW193. | 国产无遮挡又黄又大又爽在线观看 | 男主开会桌下被C得合不拢H | 久久亚洲国产 | 在线免费电影 | 除却巫山在线 | 国产视频亚洲精品视频 | jizz韩国| 久久精品日韩一区国产二区 | 国内自拍视频一区二区三区 | 狠狠色丁香婷婷综合最新地址 | 日韩免费高清一级毛片 | 能在线观看的一区二区三区 | 国产一区二区精品尤物 | 精品自拍农村熟女少妇图片 | 免费A片国产毛A片无码久久 | 最近中文字幕完整视频下载 | 日日摸天天摸97狠狠婷婷 | 久久国内精品视频 | 激情做人爱视频在线观看 | 久久久久久久久影院 | 国产JK白丝喷白浆一区二区 | 2024色情在线无码 | 日日夜夜天天干干 | 亚洲中文字幕乱码熟女在线 | 69国产成人综合久久精品 | 国产成+人欧美+综合在线观看 | 亚洲色四在线视频观看 | www.日韩在线观看 | 九九九视频 | 秋霞黄色 | 舌头伸进去添少妇好爽高潮 | 亚洲视频一区在线观看 | 亚洲影视在线 | 午夜精品久久久久久久2023 | 欧美 在线 另类 春色 小说 | 91国偷自产一区二区三区蜜臀 | 亚洲午夜精品A片久久不卡蜜桃 | 在线播放真实国产乱子伦 | 欧美精品色视频 | 天堂在线v | 国产精品久久国产精品99 | 国产精品久久久久久99人妻精品 | 五月婷婷丁香网 | 亚州国产 | AV亚洲AV永久无码精品网 | 久久波多野结衣 | 国产福利在线高清导航大全 | 欧美亚洲综合高清在线 | 四个人弄我一个要坏掉的 | 午夜色大片在线观看 | 久久久久久极精品久久久 | 色翁荡熄又大又硬又粗又视频图片 | 岳 好紧好爽再浪一点 | 亚洲精品沙发午睡系列 | 亚洲精品中文字幕乱码影院 | 六月激情 | 欧美中文字幕视频 | 国色天香日本人妻无码网站 | 激情综合网婷婷 | 99ri在线视频网 | 日韩观看 | 波多野结衣xfplay在线观看 | 辽宁老熟女高潮狂叫视频 | 国产成人精品亚洲2020 | 国产精品恋恋影视 | 黄网页在线观看 | 欧美日韩国产一区二区三区不卡 | 中文无码有码亚洲 欧美 | 漂亮的丰年轻的继坶3在线 漂亮的丰年轻的继坶3在线观看 | 少妇做爰特黄A片免费看9588 | 色情污污污WWW网站下载 | 好吊日在线 | 亚洲乱码日产精品BD在线下载 | 欧美精品高清无码 | 久久99久久精品国产只有 | 日韩免费黄色片 | 国产男人的天堂在线视频 | 亚洲成av人影院 | 男女无遮挡猛进猛出免费观看视频 | 精品免费tv久久久久久久 | 国产精品白浆一区二小说 | 柠檬福利精品视频导航 | 最近高清中文在线国语视频 | 国产精品扒开腿做爽爽爽A片唱戏 | 无码日本精品久久久久久 | 全色qvod资源网 | 国产精品长腿丝袜第一页 | 中文字幕大香视频蕉免费 | 久久国产精品免费观看 | 免费无遮挡无码H肉日本动漫 | 国产在线精品观看免费观看 | 日韩在线黄色 | 国产日韩欧美综合一区二区三区 | 曰本三级香港三级人妇99视频 | 中文字幕日本最新乱码视频 | 亚洲AV无码A片一二三区 | 日韩色情在緌 | 美女脱18以下禁止看免费 | 新超碰97在线观人人澡 | 嗯啊跳蛋啊别舔了啊 | 黑子的篮球第四季什么时候出 | A片又大又粗又爽免费视频 A片做爰片仑理片免费看 | 亚洲欧美精品 | 麻豆影片 | 舐美女足vk | aaa一区二区三区 | 亚洲免费三级电影 | 免费观看的成年网站在线播放 | 老司机午夜免费福利视频 | 在线观看免费的小电影网站 | 日本韩国一区二区三区 | 夜夜夜噜噜噜 | 亚洲免费视频一区 | 高清一区二区亚洲欧美日韩 | 精品熟女少妇AV久久免费软件 | 国产精品呻吟AV久久高潮 | 精品高清1卡2卡3卡4麻豆 | 六月丁香色婷婷 | 亚洲在线成色综合网站 | 国产乱妇乱子在线播视频播放网站 | 酒色网最新网址 | 双性将军粗壮H灌满怀孕 | 精东视频影视传媒制作精品免费版 | 国产成人午夜福在线观看 | 大陆精品福利网址导航在线 | 国产又爽又黄又不遮挡视频 | 美日韩在线 | 日韩高清专区 | 免费看黄的片多多APP下载 | 日本一卡二卡三卡四卡无卡免费播放 | 公车疯狂揉肉蒂高潮H失禁动态图 | 久久久久久午夜精品 | 真人性做爰A片免费 | 99视频精品全国在线观看 | 日韩精品视频福利资源站 | 好满好深好撑好涨h | 高级按摩xxx | 性夜黄A片爽爽免费视频 | 真实国内老女人的露脸视频 | 就去色成人网 | 中文字幕日韩在线 | 麻豆久久| 韩国美女激情视频一区二区 | 丁香花丁香五香天堂网 | 久久精品国产精品亚洲毛片 | 国产一卡三卡四卡无卡精品 | 国产69精品久久久久乱码免费 | 日本精高清区一 | 性一交一乱一伦一色一情孩交 | 黄色网址视频免费 | 香蕉综合视频 | 九九热免费观看 | 久久久无码精品国产人妻 | 性做爰AAA片免费看大尺度 | 成年网站在线播放 | 插日本女人| 做爰高潮A片在线播放 | 国产乱子经典视频在线观看 | 日日麻批40分钟免费播放 | 国产极品JK白丝玉足喷白浆 | 亚洲国产精品久久又爽黄A片 | av在线观看网站免费 | 偷看农村女人做爰毛片色 | 欧美综合精品 | 中文字AV字幕在线观看 | 8050午夜二级一片 | 饥渴偷公乱第400章 激烈娇喘叫床声床震爽文 激情aa视频试看免费 | 亚洲国产欧美在线观看 | 国产AV麻豆MAG剧集 | 免费含羞草AV片成人 | 日本高清免费不卡在线播放 | 久久国产精品999 | 成人性爱视频在线观看 | 日韩精品无码二三区A片 | 免费看黄色片网站 | 亚洲欧美日本国产高清 | 搡老女人免费视频 | 高潮无遮挡成人A片在线看 高辣H文黄暴糙汉文H | 无码一区二区在线欧洲 | 婷婷激情综合色五月久久 | 国产强伦姧人妻毛片 | 欧美成人AAA毛片 | 荡女小姿的yin乱生活 | 国产在线不卡视频 | 九九国产 | 久久综合五月天婷婷伊人 | 快穿被各种男主强好爽H | 最近中文免费字幕在线播放 | 欧美视频一区在线观看 | 国产精品久久久久久爽爽爽床戏 | 亚洲一卡二新区乱码绿踪林 | 91制服| 国产一区二区久久A片免费 国产一区二区三不卡高清 国产一区二区三区A片在表 | 国产精品高潮呻吟久久影视A片 | 国产人妻无码精品 | 国语92电影网午夜福利 | 年轻的老师5理伦片 | 美女被抽插舔B到哭内射视频免费 | 真人三十六式春交图 | 干干干操操操 | 欧美一级日韩一级亚洲一级 | 国产强伦姧人妻一区二区 | 色综合久久天天综合观看 | 老板揉搓秘书丰满大乳 | 男人女人做差羞视频 | 久久综合色悠悠 | 国产一级视频在线观看网站 | 97 在线播放 | 日韩一区二区三区精品 | 香蕉成人伊视频在线观看 | 中文无码有码亚洲 欧美 | 伊人中文字幕在线观看 | 久久午夜免费视频 | 亚洲AV成人片色在线观看高潮 | 牛牛社区 | 国产网站黄色 | 五月婷婷六月合 | 国产乱来乱子视频 | 秋霞午夜伦高清在线观看 | 91精品国产综合久久久久 | 亚洲精品无码一区二区色戒 | 亚洲人成无码久久久AAA片 | av在线观看网站免费 | 污视频app网址丝瓜视频 | 国产亚洲欧洲人人网 | 国产一级生活片 | 中文字幕无码日本欧美大片 | 久久久久久久久66精品片 | 西西人体做爰大胆视频韩国 | 国产成人一区二区三区在线观看 | 美女扒开腿让男人桶尿口 | 国产九九视频在线观看 | 国色天香社区在线最新 | 日本免费观看日本高清视频 | 国产a级毛片 | 国产主播AV福利精品一区 | 99久久www免费 | 日本一区色情无码视频在线观看 | 国产精品扒开腿做爽爽爽日本无码 | 中国毛片在线观看 | 中文字幕在线视频免费 | 亚洲精品乱码8久久久久久日本 | 眉间雪电视剧全集在线观看 | 中文字幕一区二区视频 | 国产在线永久视频 | 99久久精品免费精品国产 | 蝌蚪免费视频在线观看 | 日本大片A成人无码超级麻豆 | 色老头AV亚洲一区二区男男 | 在线观看导航 | 亚洲精品卡2卡3卡4卡5卡区 | 蝴蝶色综合综合成人网 | 护士毛片 | 欧美性xxxx| 波多野结衣全集在线观看 | 欧美日本国产VA高清CABAL | 色综合激情 | 久久国产伦子伦精品 | A片免费观看一区二区三区 A片粗大的内捧猛烈进出在线 | 一级美国乱色毛片 | 阳茎伸入女人阳道视频 | 免费观看大片bbb | 日韩视频高清免费看 | 国产91综合| 三级免费网站 | 人碰人碰人成人免费视频 | 在线网站免费观看入口 | 精品午夜寂寞黄网站在线 | 亚洲综合丁香婷婷六月香 | 成 人 网 站在线 | 九九亚洲视频 | 男女做爰猛烈动高潮A片色情 | 又硬又粗进去好爽A片中字 又长又大又粗又硬3p免费视频 | 色午夜影院 | 久久精品人人做人人爽97 | 日本 片 成人 在线 日本 欧美 国产 | 久久久久久久99久久久毒国产 | 天天草天天干 | 毛片.com | 精品无人乱码一区二区三区的优势 | 四四房播播 | 日韩三级网址 | 91视频福利 | 黄页网站视频免费 视频 | 成人高清影院 | 欧美深夜福利网站在线观看 | 国精产品一区二区三区有限 | 无码国产69精品久久久久 | 高黄H文各种姿势PLAY道具1V1 | 狠狠色噜噜狠狠狠狠2022 | 麻豆国产96在线日韩麻豆 | 美国三级在线观看 | 欧美大片日韩精品四虎影视 | 最新在线中文字幕 | 极品妖艳 | 乱亲女H秽乱长久久久 | 欧美一卡二卡3卡4卡无卡六卡七卡科普 | 精品欧美一区二区在线观看 | 黑人巨茎大战俄罗斯白人美女 | 比较刺激的H公共场合小说 边吃奶边狠狠躁日韩A片 | 亚洲AV嫩草AV极品A片 | 欧美黄色免费网站 | 蜜臀色欲AV无人A片一区 | 精品欧美小视频在线观看 | 国产 jav hd | 真人一级一级特黄高清毛片 | 亚洲精品久久202420247 | 国产AV寂寞骚妇 | 亚洲.欧美.在线视频 | 亚洲色婷婷久久精品AV蜜桃 | 免费精品一区二区三区A片在线 | 久久艳务乳肉豪妇荡乳A片 久久夜色噜噜噜亚洲AV0000 | 性妇WBBBB搡BBBB嗓小说 | 国产亚洲日韩欧美视频 | 人碰人碰人成人免费视频 | 色一欲一性一乱一区二区三区 | 麻花传媒沈芯语老师视频 | 日本三级香港三级三级人!妇久 | 涩涩免费视频软件 | 久久国产精品99久久久久久老狼 | 小蝌蚪视频app无限看 - 丝瓜ios视频丝瓜视 | 亚洲一卡2卡3卡4卡5卡新国色天香 | 黑人特黄AA完整性大片 | 国产日韩欧美综合一区二区三区 | 老头把我添高潮了A片故 | 国产精品久久久久久吹潮 | 国产欧美日韩一区二区三区在线 | 五月婷婷之综合激情 | 久久成人免费网站 | 91视频色| 日韩精品无码视频一区二区蜜桃 | 肉蒲团从国内封禁到日本成经典 | 吉吉影音先锋av资源网 | 久久亚洲国产成人亚 | 国产欧美日韩综合精品一区二区 | 国产在线精品观看免费观看 | 国产在线不卡 | 欧美成人精品区综合A片 | 国产 日韩 欧美 高清 亚洲 | 亚洲性免费 | 狠狠色很很鲁在线视频 | 最近韩国中文字幕更新 | 亚洲精品一区二区三浪潮AV | 国产成人精品999在线 | AV国産精品毛片一区二区在线 | 色久久综合视频本道88 | 国产麻豆AV一区二区三区 | 国产精品扒开腿做爽爽爽视频 | 国产亚洲精品久久久久久无码网站 | 国产精品免费露脸视频 | WWW久久久爱CNM| 国产精品国产对白熟妇 | 欧美精品第1页在线播放 | 外国成人网址 | 五月天福利视频 | 香港aa三级久久三级不卡 | 99视频这里只有精品国产 | 色欲AV在线观看国产精品 | 牛牛在线(正)精品视频 | 黄视频在线免费看 | 在线免费观看最新电影 | 亚洲国产成人精品无码区5566 | 日操夜操| 国产微拍 | 欧美日韩中文字幕在线手机版本 | 久草最新网址 | 欧美性videos高清精品 | 日韩免费视频 | 曰本一道本久久88不卡 | 麻豆久久婷婷综合五月国产 | 亚洲美女视频高清在线看 | 视频一本大道香蕉久在线播放 | 五月色丁香婷婷网蜜臀AV | 在线观看免费国产 | 久久成人麻豆午夜电影 | 浪荡受自我调教纯肉BL | 特级BBBBBBBBB视频 | 搭讪的法则迅雷下载 | 免费无毒a网站在线观看 | 97视频免费上传播放 | 国产苐1页影院草草影院 | 午夜人妻熟女一区二区 | 日韩AV国产精品成人无码 | 亚洲高清二区 | 99激情| 亚洲精品AV一区午夜福利 | 高清国产精品久久 | 精品无人区麻豆乱码1区2区新区 | 青青热久免费精品视频在app | 久久毛片视频 | 人成免费 | 和少妇邻居做爰伦理 | 水蜜桃传媒科技有限公司网站 |