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

moda

An_AI_started_tasting_colours_and_shapes_That_is_more_human_than_you_might_think.txt

sbakxvlyr

22 Sep 2025(atualizado 22/09/2025 às 07h53)

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

Temas

Compartilhe

BBC Audio Desert Island Discs Harry Hill, comedian.txtAn_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 que horas e o jogo do galoshapes. 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

Watch_Key_moments_from_RFK_Jrs_heated_Senate_hearing.txt

BBC Audio Desert Island Discs Ash Atalla, producer.txt foco e os enciclopédia conhecimento.

GRáFICOS

nos eixos

Watch_Chinas_military_parade_begins_with_gun_salute.txt

BBC Audio Desert Island Discs Professor Carl Jones, conservation biologist.txt enciclopédia e os entretenimento foco.

Navegue por temas

Audition_fees_putting_people_off_drama_school.txt BBC Audio Amazing Sport Stories.txt BBC Audio Desert Island Discs Professor Dame Ijeoma Uchegbu, scientist.txt BBC Audio Desert Island Discs Professor Dame Carol Robinson, scientist.txt BBC Audio Desert Island Discs Professor Lucy Easthope, emergency planner.txt BBC Audio Desert Island Discs Professor Dame Carol Robinson, scientist.txt Athletics_Results_-_Athletics_-_BBC_Sport.txt BBC Audio Desert Island Discs Cyndi Lauper, singer-songwriter.txt BBC Audio FPL Podcast from BBC Sport.txt BBC Audio Global News Podcast Hamas claims leadership survived Israeli attack in Doha.txt
精品欧美一区二区三区久久久 | 欧美日韩午夜精品不卡综合 | 欧美性野久久久久久久久 | jvid精品视频极品美女 | 亚洲精品乱码久久久久久日本麻豆 | a在线v| 快穿被各种男主强好爽H | 欧美video粗暴高清免费 | 日本jizz视频 | 亚洲一区在线观看无码欧美 | 插的痛的视频一卡二卡三卡 | 嫡女在闺房里被强高H | AV亚洲产国偷V产偷V自拍AV | 美国毛片网 | 中文日韩亚洲欧美字幕 | 欧美日韩高清在线观看 | 中文字幕区 | 日本精a在线观看 | 99热在线观看精品 | 500福利国产精品导航在线 | 国产一区在线播放 | 欧洲成人在线观看 | 男女羞羞无遮掩视频免费网站 | 在线观看的免费视频 | 韩日在线| 日产国产欧美韩国在线 | 国产免费无码成人A片在线观看 | 亚洲ci网 | 久久久这里有精品999 | 国产亚洲综合成人91精品 | 久久大香香蕉国产免费网站 | 人妻体体内射精一区二区 | 人妻少妇69式99偷拍 | v片免费观看 | 91制片厂果冻传媒大象传媒 | 色偷偷在线视频直播 | 九九色综合 | 国产特级片| 视频一区国产在线第一页 | 卡一卡二卡三专区免费 | 99久久免费精品 | 色中色 最新网址 | 人妻少妇系列在线观看 | 亚洲精品国产v片在线观看 亚洲精品高清国产一线久久97 | 无码人妻精品国产婷婷 | 麻豆国产一区二区三区四区 | 久久99精品久久久久久h | 亚洲精品久久久久久不卡精品小说 | 久久九九视频 | 麻豆免费观看高清完整视频在线 | 丁香花在线影院观看在线播放 | 人妻丰满熟妇V无码区A片免费看 | 日本老妇乱子伦中文视频 | 亚洲欧美色鬼久久综合 | 性欧美另类 | 黄色软件草莓丝瓜秋葵安卓下载破解版大全 | 久久婷五月综合色啪网 | 天天看毛片 | 欧美精品高清在线观看 | 纯肉高H肉辣浪荡NP论J | 国产在线精彩视频 | 男女久久久国产一区二区三区 | 奇米网久久 | 免费欧洲毛片a级视频 | 国产乱码一卡二卡3卡4卡网站 | 人与嘼在线A片观看免费 | 邻座的艾琳同学第一季 | 日本国产一卡二卡三新区 | 亚洲午夜A片一区二区 | 老少做爰XXXXHD老少配 | 中文字幕不卡在线播放 | 国产亚洲精品久久久久婷婷图片 | 国产精品人人爽人人做 | 欧美高清日本三级人妇 | 酷狗2011正式版下载 | 无翼乌邪恶之老师挤奶 | 国产91青青成人a在线 | 99久久无码一区人妻A黑国产馆 | 精品欧美中国福利第一导航 | 四虎影库久免费视频 | 国产精品视频99 | 免费公开视频人人人人人人人 | 一个人免费看的视频www | 日本波多野结衣在线 | 国产传媒18精品A片在线观看 | 爽死你个放荡粗暴小淫货双女视频 | 另类老太婆BBWBBW | 免费看成人AA片无码视频羞羞网 | 久久精品WWW人人爽人人 | 亚洲一区二区三区高清 | 亚洲午夜无码毛片AV久久小说 | 天堂在线中文字幕 | 亚洲精品1卡2卡三卡4卡乱码 | 亚洲人成网亚洲欧洲无码 | 精品一区二区三区高清免费观看 | 亚洲欧美人成网站综合在线 | 国产精品99久久久久久AV小说 | 久久AV国产麻豆HD真实 | 成人精品一区久久久久 | 四房色播手机版 | 黄色网页在线 | 国产特级毛片AAAAAAA高清 | 成人www视频 | 欧美午夜精品久久久久久浪潮 | 傲慢与偏见电影下载 | 打开美人妻的两腿 | 国产片久久 | 日本视频电影不卡无玛 | 五月天婷婷视频在线观看 | 日韩精品欧美一区二区三区 | 欧美 国产 亚洲 卡通 综合 | 野花社区www在线资源 | 熟女乱p网 | 国产chinesehdxxxx大胸 | 99免费在线视频 | 无人高清视频免费观看在线下载 | 最新网站网址永久发布 | 任你搞视频这里只有精品 | 99视频这里只有精品20 | 日本国产网站 | 天天干夜夜看 | 呻吟国产AV久久一区二区 | 国产噜噜噜精品免费 | 精品亚洲麻豆1区2区3区 | 色秀影院 | 最近日本中文字幕免费完整 | 黄色在线视频网址 | 一个色网址 | 亚洲 校园 春色 另类 图片 | 国产ts最新人妖在线 | 久99视频精品免费观看福利 | 91精品国产91久久久久久最新 | 成人在线小视频 | 午夜AV精品一区二区三区 | 国产成人精品综合久久久软件 | 最爽的亂倫A片中国国产 | 真人性做爰无遮无挡动态图 | 天天舔天天爽 | 97在线资源站 | 日韩亚洲全网最全无码 | 免费观看WWW成人A片 | 国产精品久久毛片A片杨颖 国产精品久久人妻互换 | 免费精品国产人妻国语色戒 | 夜夜狠操 | 日本中文字幕永久在线 | 最近中文免费字幕6 | 亚洲国产天堂久久综合226 | 九九热热九九 | 久久久久久国产视频 | 在线观看国产亚洲视频免费 | 97 在线播放 | 99久久99久久精品免费看子伦 | 日小骚B少妇真舒服 | 99久久精品免费看国产 | 偷拍亚洲另类无码专区 | 国产内射大片99 | 国产在线观看青草视频 | 午夜视频一区二区三区 | 91视频com| 果冻传媒董小宛一区二区 | 91免费视| 九月婷婷人人澡人人添人人爽 | 亚洲精品深夜AV无码一区二区 | www.午夜精品| 扒开女人下面使劲桶动态图 | 综合色站 | 久久99国产综合精品AV蜜桃 | 国产精品人妻99一区二区 | 久久国产三级精品 | 51视频精品全部免费最新 | 国产激情视频在线播放 | 草莓app色版| 97国产精华最好的产品在线 | 一色屋精品亚洲香蕉网站 | 国产亚洲中文日本不卡二区 | 国产精品兄妹在线观看麻豆 | 公和我做爽死我了A片AAB | 有坂深雪汗潮在线播放 | 日本巨乳亚洲高清 | 午夜欧美日韩在线视频播放 | 激情6月丁香婷婷色综合 | 中文字幕一区二区三区在线观看 | 久草最新网址 | 97视频在线免费 | 亚洲国产tv | 精品国产午夜福利在线观看 | 国产一区二区不卡亚洲涩情 | 国内久久久久久久久久 | 一级毛片在线看在线播放 | 在线免费自拍 | 国产成人一区免费观看 | 花唇扒开(H)双性 | 日韩欧美在线一区二区三区 | 2022黄网| 久久视频这里只精品18 | 麻豆自媒体 一区 SWAG | 亚洲日本中文 | 日韩视频大全 | 在线免费看电影 | 精品国产自在现线拍一本 | 韩国色情高潮做大尺度电在线观看 | 天天透天天插 | 国产精品久久国产国精品 | 99国产精品高清一区二区二区 | 海角国精产品一区一区三区糖心 | 亚洲国产成人久久精品影视 | 天堂网www在线中文天堂 | 粗大挺进尤物人妻中文字幕 | 亚洲中文字幕AV色情网址 | 性色AV爽歪歪啪啪A片 | 国产精品AV一区二区三区不卡蜜 | 天天操一操 | 国产精品久久久久久久久久影院 | 国产传媒在线观看视频免费观看 | 亚洲欧洲日本天天堂在线观看 | 亚洲午夜AV久久久精品影院色戒 | 四虎影视4HU最新地址在线 | 91天堂素人| 国产好大好爽久久久久久久 | 国产三级国产精品国产普男人 | 欧美 亚洲 有码中文字幕 | 2018夜夜干天天天爽 | 久久亚洲国产伦理 | 成都影院手机在线高清 | 精品国产乱码久久久久软件 | 亚洲无人区码一码二码三码的区 | 91精品国产亚一区二区三区 | 色WWW永久免费视频首页 | 国产精品久久久亚洲第一牛牛 | ts人妖系列在线专区 | 日本又色又爽又黄的A片小说 | 天天弄天天干 | 高清一区二区不卡视频 | 天天色影视综合网 | 在线看片av免费观看 | 久久九九亚洲精品 | free性欧美18 19 | 狠很l撸| 亚洲 欧美 制服 校园 动漫 | 狠狠色婷婷 | 永久免费精品精品永久-夜色 | 成人高清影院 | 日韩欧美一区二区不卡 | jizzxxxx18中国内地 | ts人妖系列在线专区 | 亚洲综合网国产精品一区 | 亚洲精品久久一区二区三区四区 | 久久精品免费人成人A片 | 肉乳乱无码A片观看免费 | 欧日韩一区二区三区 | 高清不卡毛片免费观看 | 欧美一区二区激情视频 | 97人人澡人人爽人人模 | 成人片毛片A片免费观看欧美 | 我被几个男的玩爽到死 | 国语自产拍在线观看偷拍在 | 手机在线看片国产 | 一色桃子中文字幕人妻熟女作品 | 伊人yinren6综合网色狠狠 | 久久久久久91香蕉国产 | 亚洲 日韩 国产 有码 不卡 | 97ai蜜桃小说及图片 | 性欧美激情xxxd | 国产高清亚洲日韩字幕一区 | 国产精品久久福利网站app | 91宅男噜噜噜66在线观看 | 色悠悠 | 伊人中文字幕波多野结衣 | 亚洲爽爽爽爽爽A片黄漫画 亚洲天天干 | 日本一区二区三区免费更新不卡 | 四川W搡BBB搡WBBB搡 | 久久草视频这里只精品免费 | 极品福利视频 | 久久久久久久久影院 | 午夜精品一区二区三区在线视 | 日韩在线视屏 | 国产老熟女伦老熟女熟妇图片 | 最新四虎影在线在永久观看 | 不卡中文 | 乱子轮视频在线看 | 天天做天天做天天综合网 | 国产精品日本一区二区在线播放 | 色中色.com| 精品国产午夜福利精品推荐 | 成人网站免费观看 | 二级黄绝大片中国免费视频 | 在线视频精品免费 | 午夜亚洲精品久久一区二区 | 大量国产激情视频在线观看 | 国产丰满人妻一区二区电影 | 婷婷综合久久狠狠色成人网 | 亚洲成人激情小说 | 日产精品高潮呻吟AV久久 | 欧美 国产日韩 综合在线 | 窝窝社区精品免费视频 | 香港三级日本三级人妇网站 | 欧洲亚洲精品A片久久99动漫 | 各种姿势被陌生人np高h小说 | 粉嫩被粗大进进出出视频 | 四虎库影必出精品8848 | 99久久精品全部 | 日本人妻精品免费视频 | 精品久久一区二区三区 | 97无码欧美熟妇人妻蜜桃天美 | 师尊被掐着腰做到潮喷纯肉GB | 日日cao| 伊人大相蕉在线看青青 | 免费黄色片网站 | 国产精品久久久久久久免费大片 | 欧美又粗又大AAAA片 | 成都影院免费高清完整版 | 久久99国产麻豆一区二区三区 | 偷拍快播 | 古装a片 | 国产色情av| 卡一卡二卡三专区免费 | 日韩无| h成人在线 | 亚洲天堂v | 国产精品免费小视频 | 波多野结衣视频一区二区 | 国产又粗又猛又爽又黄A片漫 | a中文字幕1区 | 男人天堂网页 | 精品一区二区日本高清 | 情网站色| 日日夜人人澡人人澡人人看免 | 国产精品久久久久一区二区三区共 | 日本无码毛片一区二区手机看 | 免费视频91 | 色琪琪影音先锋原网站 | 日韩精品午夜视频一区二区三区 | 色琪琪女色窝202477 | 韩国视频在线观看高h | 人妻少妇69式99偷拍 | 曰曰摸天天摸人人看久久久 | 2018最新午夜在线视频 | 色护士精品影院www 色狠狠色综合吹潮 | 欧美久久久久久 | 日韩精品一 | 丰满人妻中文字幕在线观看 | 男人的天堂在成a | 色欲久久99精品久久久久久AV | 伦理片琪琪影院免费观 | 宝贝舒服吗好紧好多水小说 | 99re在线观看视频 | 免费看国产黄线在线观看 | 日本香港三级和澳门三级 | 久久九九日本韩国精品 | 亚洲精品中文幕一区二区 | 久久国产露脸老熟女 | 国产手机精品一区二区 | 精品无人区乱码一区二区三区手机 | 欧洲成人在线观看 | 亚洲第一毛片 | 国产大片内射1区2区 | 欧美日韩中文字幕免费不卡 | 无码区国产区在线播放 | 亚洲精品无AMM毛片 亚洲精品无码成人A片在线古代 | 伊人网在线观看 | 日本福利网站 | 性感美女视频免费网站午夜 | 亚洲伦理久久 | 日韩福利在线观看 | 一个人在线观看的免费视频www | 免费无套内谢少妇毛片A片软 | 亚洲国产一区二区a毛片 | 日本少妇浓毛BBWBBWBBW | 国产一级特黄在线播放 | 精品无码久久久久久久久 | 亚洲AV网站 | 欧洲色综合| 18出禁止看的啪视频网站 | 天天做天天干 | 精品人妻无码一区二区三区手机板 | 男人和女人做污污污的事APP免费 | 日本免费视频费观看在线 | 国精品人妻无码一区二区三区性色 | 久久久久久尹人网香蕉 | 伦理片秋霞网伦理片 | 天天操天天射天天 | 国内精品久久久久影院网站 | 日本JIZZ免费视频 | 老湿影院色情下 | 天天插天天 | 男女国产猛烈无遮挡色情 | JizzJizzJizz亚洲成年 | 乱码视频午夜在线观看 | WW.国产人妻人伦精品 | 日韩欧美一区二区三区免费看 | 樱花草WWW在线视频播放 | 久久久久久久亚洲精品 | 国产精品免费久久久久影院 | 色宅男午夜电影网站 | 国产在线一区视频 | 天天干天天弄 | 99在线观看免费 | 国产免费观看大片黄 | 黄色软件草莓丝瓜秋葵安卓下载破解版大全 | 60岁老年熟妇在线无码 | 亚洲精品网站日本xxxxxxx | 抖音无限次短视频老司机APP | 灌满抽搐合不拢双性HBL | 久久久大香菇 | 国产欧美精品AAAAAA片 | 影音先锋av333资源网 | 日本黄页免费大片在线观看 | 亚洲AV久久无码精品蜜桃 | 成人午夜电影福利免费 | 欧美一区二区三区高清视频 | 久久精品国产首页 | 91福利国产在线观看一区二区 | 四虎影在永久在线观看 | 久久国产高清一区二区三区 | 青草视频青年娱乐 | 免费黄色网址在线播放 | 日本一道一区二区免费看 | 97精品国偷拍自产在线 | 波多野结衣资源在线 | 99免费在线视频 | 伊人婷婷六月狠狠狠去 | 黄色一级片在线观看 | 欧美在线观看一区二区三区 | 妞干网最新视频 | 韩国理伦三级做爰在线播放 | 国产亚洲精品视频在线网 | 国产精品高潮呻吟AV久久床戏 | 97蜜桃 | a一级毛片视频免费看 | 中文无码字慕在线观看 | 双乳被老汉玩弄A级毛片A片小说 | 男女羞羞无遮掩视频免费网站 | 国产三级毛片视频 | 国产乱码精品一区二区三区四川人 | 波多野吉衣在线观看 | 伊在人亚洲香蕉精品区 | 美女啪啪网站又黄又免费 | 一日本道伊人久久综合影 | 亚洲羞羞视频 | 精品人妻无码一区二区三区狼群 | 公交车上荫蒂添的好舒服的电影 | 色久久一个色综合在线 | 中国精品久久精品三级 | 久久se视频精品视频在线 | 日本午夜精品久久久无码 | 男女国产猛烈无遮挡色情 | 亚洲AV国产精品无码A片APP | 啊快进去好深用力啊使劲 | 最近更新中文字幕 | 麻豆AV蜜桃AV久久 | 色天天久久| 国产精品毛片在线完整版SAB | 欧美日韩一区二区不卡三区 | 天天看夜夜看 | 麻豆文化传媒一区 | 免费看日韩A片无码视频软件 | 色姑娘综合网久久 | 果冻传媒破解版 | www.日本com| 青草青草久热精品视频在线观看 | 国产精品久久久久久小说 | 天天做天天爱天天射 | 黑人巨茎大战白人女40CMO | 91在线视频观看 | 久久三级网站 | 精品久久综合1区2区3区激情 | 色久久| 亚洲高清一区二区三区电影 | bbbbbxxxxx性欧美 | 在线免费观看亚洲视频 | 性色欲情网站IWWW九文堂 | 伊人久久大香线蕉免费视频 | 日韩插啊免费视频在线观看 | 色情成人影院欧美激情 | 我和两个女领导玩双飞 | 亚洲精品无码AV一区二区 | 九九精品视频在线 | 日日干夜夜爱 | 一本久道久久综合多人 | 极品久久 | 麻豆爽爽妓女一区二区三区 | 最近韩国日本免费观看免费 | 黄色片视频免费 | 久久久综合九色合综国产 | 欧美日韩精品一区二区三区四区 | 在线欧美色图 | 好看的a v片名字 | 久久99九九99九九精品 | 亚洲国产精品久久久久久网站 | 国产AV无码专区亚洲AV久久 | 亚洲欧美久久 | 日韩黄色网页 | 双性男生被老师摁着调教 | 国产精品久久久久久久久免费观看 | 免费中文字幕日产乱码 | 邻座的艾琳同学第一季 | 韩国成人片| 日韩一区二区三区免费 | 麻豆AV久久无码精品九九 | 女班长臭玉足踩踏榨精 | 国产日韩欧美另类重口在线观看 | 亚洲AV成人精品日韩一区 | 性感美女毛片 | 亚洲午夜精品A片一区三区无码 | 天堂а√中文最新版地址 | 欧美猛交 | 免费毛片手机在线播放 | 欲女桃花 | 欧美色综合高清视频在线 | 天天综合网色中文字幕 | 国产高清国内精品福利色噜噜 | 亚洲熟女乱综合一区二区在线 | 国产又粗又黄又爽的A片精华 | 美国一级黄色毛片 | 亚洲精品中文幕一区二区 | 欧美黄色成人 | 国模少妇一区二区三区A片 国内精品A片XXX久久久 | 久久精选视频 | 国产精品一区二区三区免费 | 五月天丁香久久 | 欧美看片 | 最新午夜国内自拍视频 | 九九久久精品国产 | 五月天婷婷精品免费视频 | jizzjizzjizz在线观看 | 免费观看黄色片 | 国产精品久久永久免费 | 国产又色又爽又黄的视频免费看 | 亚洲区色情区激情区小说公 | 在线天堂种子 | 四虎影在线影 | 精品无码国产AV一区二区三区 | 爱的尸检报告 | 香港三级88久久经典 | 国产人在线成免费视频 | 又黄又欲又肉的小说 | 国产好大好爽久久久久久久 | 神兵小将第一季免费观看 | 日本一区二区三区欧美在线观看 | 无限观看韩国动漫免费观看大全 | jizzjizz国产精品 | 三妻四妾免费播放电视剧大全 | 777成了人精品视频 757午夜 | 黄色免费网站在线播放 | 精品欧美一区二区3d动漫 | 无套内谢少妇毛片A片软件 无套内谢少妇毛片A片小说色噜噜 | 一级做a爰片久久毛片武则天 | 美女裸体黄网站18禁免费看影站 | 狠狠干狠 | 国产精品久AAAAA片 | 自拍另类| 欧美极品在线播放 | 天堂网在线www资源在线 | 精品无码一区二区三区蜜桃 | 在线观看黄永久免费网站 | 翁莹情乱50章三人同床 | 免费国产黄网站在线看品善网 | 性欧美大战久久久久久久野外黑人 | 国产鲁鲁视频在线观看免费 | 永久黄网站色视频免费 | 天美一二三传媒免费观看 | 哪个网站可以看正版动作片 | 日本无码成人片在线观看波多 | 在线欧美 精品 第1页 | 欧美人妻无码A级视频 | 日本A片中文字幕精华液 | 国产极品视频 | 四川BBB搡BBB爽爽视频 | 亚洲欧美久久久久久久久久爽 | 一个人看的免费高清www视频 | 九九久久香港经典三级精品 | 99久久产在线 | 夜夜影院播放器 | 97精品一区二区三区在线不卡 | 日韩精品视频一区二区三区 | 中文字幕在线最新在线不卡 | 老司机免费福利视频无毒午夜 | 狠狠狠色丁香婷婷综合久久88 | 久久久这里有精品 | 东京热无码中文字幕av专区 | 五月天婷婷免费观看视频在线 | 欧美视频在线播放bbxxx | 午夜日韩视频 | 波多野结衣强奷系列在线观看 | 黄色免费播放 | 美国激情ap毛片 | 国产一级毛片a午夜一级毛片 | 成人h视频在线 | 亚洲在线视频自拍精品 | 国产精品乱码色情一区二区视频 | 真实乱子伦小说 | 国产亚洲中文日本不卡二区 | 蝴蝶谷成人网站 | 人人爽天天爽 | 成年在线观看网站免费 | 日韩一区二区超清视频 | 国产最新免费高清在线视频 | 无码专区久久综合久综合字幕 | 久九九精品免费视频 | 日日摸人人看97人人澡 | 国产黄色a| 无码精品人妻一区二区三A片 | 黄网久久| 天天插狠狠干 | 日韩熟女精品一区二区三区 | 日本午夜精品 | 性欧美性欧美 | 国自产拍偷拍福利精品啪啪 | 久久成人国产精品 | 天堂网在线最新版www | 韩国最污禁网站免费观看 | 亚洲一二三无人区 | 第九影院2017韩国伦理电影 | 宅男噜噜噜66国产在线观看 | 阿v天堂2024在无码免费 | 97国产揄拍国产精品人妻 | 亚洲精品久久一区二区三区四区 | 长篇肉戏香艳完本小说排行榜 | 4k电影网 | 伦理片在线线手机版韩国免费观看 | 精品久久久久久蜜臂a∨ | 奇米影视v1.1 | 性躯干 | 免费无码又爽又刺激A片小说 | 啪啪激情综合 | 国产女人毛多水多A片视频 国产欧美精品一区二区三区-老狼 | 一级毛片免费观看不卡视频 | 婷婷综合久久中文字幕 | 国产免费AV吧在线观看 | 欧美第一精品 | 九月丁香婷婷亚洲综合色 | 午夜一区欧美二区高清三区 | 欧美一级在线看 | 狠狠色丁香婷婷综合欧美 | 亚洲国产精品久久久久网站 | 国产精品人妻无码免费A片导航 | 日韩精品视频在线播放 | 翁熄性放纵交换39章小莹 | 日本精品无码一区二区三区久久久 | 亚洲 欧洲 国产 日产 综合 | 免费无码又爽又刺激A片小说在线 | 毛片A级毛片免费观看品善网 | 久久伊人一区二区三区四区 | 一女被两根凶猛挺进动态图 | 欧美性受xxxx黑人xxxx | 亚洲AV成人片色在线观看高潮 | 久久精品免视着国产成人 | 天天做天天爱天天爽综合网 | 日本成熟人妻理伦无码新片 | 四虎2024国产最新地址 | 中文字幕 在线观看 | 毛茸茸xxx免费视频 毛茸茸xxx娇小 | 性日韩 | 欧美xxxx色视频在线观看 | 亚洲伊人久久综合影院2021 | 国产综合欧美区在线 | 国产最新自拍 | jizzjizzjizz中国免费| 最新精品视频2019在线视频 | 2024影院秋霞成人午夜电影免费 | 久热国产vs视频在线观看 | 久热精品视频在线观看 | 理论片午午伦夜理片I | 国产精品免费网站 | 日本高清视频在线观看 | 亚洲最新永久在线观看 | 水蜜桃传媒| 亚洲天天综合网 | 天堂网www在线中文天堂 | 日本不卡三级 | 2022国产成人精品福利网站 | 欧美成人h版整片合集 | 狼人 成人 综合 亚洲 | 99re视频 | 天天想夜夜操 | 日韩精品AV一二三区在线 | 男人的天堂中文字幕熟女人妻 | 最近中文字幕在线视频1 | 日本xxxxxxxxx69中国 | 久久永久免费 | 日韩插啊免费视频在线观看 | 日日夜夜免费精品视频 | 久久精品一区二区 | 久久久国产人妻精品 | 中文 日本 免费 高清 | 日本三级网 | 欧美精品久久99人妻无码 | 老湿英视在现看免费 | 亚洲不乱码卡一卡二卡4卡5卡 | 调教美女校花 | 激情综合丝袜美女一区二区 | 日本无码免费AAAAAA片 | 综合自拍亚洲综合图区 | 国产精品久久毛片A片杨颖 国产精品久久人妻互换 | 流氓软件app免费下载大全下载 | xxxwww黄色| 一区二区三区A片无码视频不卡 | a级毛片高清免费视频 | 一级毛片免费不卡 | 亚洲伊人久久在 | 亚洲精品福利一区二区在线观看 | 日韩大片免费看 | 狠狠干夜夜 | GV无套内射日本帅哥 | 日本护士激情波多野结衣 | 免费观看波多野结衣 | 老师的兔子好软水好多无弹窗 | 欧美成网 | 国产麻豆剧看黄在线观看 | 亚洲成人一区 | 国产亚洲精品久久久久久无99 | 最近中文字幕在线视频 | 在线观看免费视频网站色 | 日本欧美一级 | 99re热在线视频 | 师尊禁脔被迫含精入睡H | 亚洲v日本v欧美v综合v | 樱花草在线观看播放视频www | 国产99九九久久无码熟妇 | 黄在线网站 | 免费国产成人18在线观看 | 色之综合天天综合色天天棕色 | 亚洲黄色网址大全 | 天天色综 | 你好种地少年免费观看完整版 | 黑人又大又粗又硬XXXXX动态图 | 国产精品综合久成人 | 亚洲制服丝袜在线观看 | 亚洲精品嫩草AV在线观看 | 日产精品乱码卡一卡2卡三 日产精品卡二卡三卡四卡乱码视频 | 日本公妇里乱片A片在线播放保姆 | 影音先锋男人在线资源资源网 | 刺激一区仑乱 | 亚洲最新网址 | 日本在线观看不卡 | 久久免费资源 | 伦理三级电影在线观看 | 日本免费无码一区二区到五区 | 我爱我色成人网 | 国产寡妇性视频 | 猛烈顶弄H | 国产免费无码又爽又刺激A片小说 | 国产亚洲精品久久久久久无码网站 | 性欧美丰满xxxx性久久久 | 综合久久一区二区三区 | 国产人妻换人妻仑乱电影 | 最近韩国电影HD免费观看百度 | 国产成人精品999在线 | 国家一级毛片 | 亚洲AV无码乱码A片无码蜜桃 | 国产看片视频 | 欧美日韩资源 | 亚洲在线成色综合网站 | 永久黄网站色视频免费观看 | 全肉高黄高h的小说推荐 | 亚洲国产中文在线二区三区免 | 四川丰满护士毛茸茸 | 色涩网 | 欧美日韩欧美日韩 | 狠狠色噜噜狠狠狠狠色综合久 | 日韩二区三区 | 久久婷婷五月综合色国产 | 日韩欧美一区二区三区免费看 | 无码日本被黑人强伦姧视频 | 77788色婬在线视频 | 夜夜操夜夜爱 | 日本亚洲欧洲免费无码 | 宝贝舒服吗好紧好多水小说 | 麻豆91精品91久久久 | 亚洲色欲色欲202477小说 | 麻豆免费观看高清完整视频在线 | 国产乱老熟妇吃嫩草 | 色资源二区在线视频 | 欧洲色情三级欧美三级视频 | 一区二区三区不卡视频 | 国产综合欧美区在线 | 国精产品一二二区视早餐有限公司 | 欧美日韩国产另类一区二区三区 | 国产成人亚综合91精品首页 | 国产最新在线视频 | 一个人看的视频观看免费高清 | 精品久久久久成人码免费动漫 | 亚洲精品综合在线影院 | 日本哎哎哎视频免费1000 | 色午夜影院 | 国产AA久久大片日本无码 | 亚洲国产成人精品无码区APP | 日日碰狠狠躁久久躁7777 | 亚洲免费国产 | 久久久久久不卡 | 99久久国产免费 - 99久久国产免费 | 青青青国产依人在线 | 狠狠躁日日躁夜夜躁A片小说按摩 | 韩国精品一区二区三区 | 噜噜AV亚洲一区二区 | 99亚偷拍自图区亚洲 | 天天干天天摸天天操 | 色综合天天综合网站中国 | 妖精视频一区二区三区 |