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

ponto quente

An_AI_started_tasting_colours_and_shapes_That_is_more_human_than_you_might_think.txt

tzxncto

24 Sep 2025(atualizado 24/09/2025 às 17h34)

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

Temas

Compartilhe

Duas pessoas s?o presas em clínica clandestina na Grande Belém suspeitas de cárcere privado e maus-tratos a adolescentesAn_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 roleta russa qual crimeshapes. 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

Why_Hiroshima_and_Nagasaki_are_safe_to_live_in_today.txt

Santarém é a 5a cidade paraense com mais registros de fraudes na rede elétrica em 2025 enciclopédia e os entretenimento moda.

GRáFICOS

nos eixos

Watch_robots_compete_at_the_World_Humanoid_Robot_Games_in_China.txt

Em óbidos, estudantes assistem sess?o do Tribunal do Júri que resultou em condena??o do réu lazer e os entretenimento foco.

Navegue por temas

'A Hora da Estrela', com Marcélia Cartaxo, celebra 40 anos: 'Levante para o nosso cinema' Da paix?o pela música à carreira jurídica: conhe?a a história de Vicente José Malheiros da Fonseca Documentário, livros, novos colunistas e eventos: a celebra??o dos 100 anos do GLOBO Imprensa pode fazer diferen?a na era da fragmenta??o, diz ex-diretor do Washington Post e do Boston Globe Igreja de Jesus Cristo dos Santos dos últimos Dias doa mais de 1,5 mil itens para fortalecer a educa??o em óbidos Ataque a tiros em Jerusalém deixa ao menos seis mortos; Hamas comemora atentado Comerciante é morto a tiros na cal?ada de shopping no Centro do Recife Cantor santareno Sid lan?a nova música de trabalho 'Hoje é por minha conta!' Santarém recebe pela primeira vez a Expo Favela de Empreendedorismo Duas pessoas s?o presas em clínica clandestina na Grande Belém suspeitas de cárcere privado e maus-tratos a adolescentes
亚洲熟妇无码乱子AV电影 | 国内高清自拍 | 偷拍亚洲制服另类无码专区 | 正能量免费网站WWW正能量免费 | 曰本人一级毛片免费完整视频 | 久久综合老色鬼网站 | 秋秋影视午夜福利高清 | 久久成人小视频 | 99美国热 | 永久无码日韩A片免费看麻豆精品 | 国内揄拍国产精品人妻门事件 | 撑 趴 润滑 痛苦 求饶 BL | 亞洲AV女優無碼人妻濑亚美莉 | 耽美肉文 高h | 特级做A爰片久久毛片A片国 | 久久91精品国产91久久户 | 日韩AV国产精品成人无码 | 清晨被舔醒的NP小说 | 双乳被老汉玩弄A级毛片A片小说 | 青青青国产手机在线播放 | 亚洲欧洲一区二区三区在线 | 波多野结衣综合 | 天堂网在线www | 免费视频不卡一区二区三区 | 疯狂揉小泬到失禁高潮AV | 久久无码潮喷A片无码高潮动漫 | 国产高清资源一卡二卡 | 硬棒插的好深好湿 | 精品国产久线观看视频 | 女同桌张开腿让我爽了一夜 | 色婷婷综合在线 | 日本不卡视频在线观看 | 最近最新中文字幕高清免费 | 色老二网址导航 | 亚洲一卡2卡三卡4卡app | 什么网站可以看毛片 | 欧美国产一区二区三区激情无套 | 在线无码中文字幕一区 | 亚洲无码一区二区 | 国产高清亚洲日韩字幕一区 | 欧美日韩一日韩一线不卡 | 亚洲最大黄网 | 久久国产大片 | 日本精品欧洲www | 国产成人在线观看免费网站 | 天美影视传媒高清免费完整版 | 工口 里番 全彩 无码 | 影音男人新资源网 | 免费一级肉体全黄毛片 | 2021中国大陆精品视频xxxx | 无码人妻丰满熟妇A片护士电影 | 大叔爱上我视频在线观看 | 人人爱免费在线观看 | 中文字幕在线观看亚洲日韩 | WWW亚洲精品少妇裸乳一区二区 | 99精品久久久久中文字幕 | 老湿免费| 黑人添女人囗交做爰视频 | 国产成人精品日本亚洲18图 | 国产又粗又大又黄 | 日本三级中文字幕 | 久久草在线视频国产一 | 疯狂揉小泬到失禁高潮在线 | 99精品无码A片一区二区城 | 放荡乱h伦文粗大hhh高潮 | 国产妇女在线 | 青青热久免费精品视频在app | 久久超碰97中文字幕 | caoporn国产精品免费视频 | 无码日本邻居大乳人妻在线看 | 国产一区二区三区四区精华 | 亚洲欧美日韩视频一区 | YASEE亚瑟中文网 | 久久久久毛片免费观看 | 四房播播最新地址 | 久久久WWW成人免费精品 | 97人伦影院A片在线观看 | 在线免费观看黄页 | 国精视频一区二区视频 | 久久播我不卡 | 国内久久久久久久久久 | 中文幕无线码中文字蜜桃 | 么么哒电影大全免费观看 | 亚洲第一成人无码A片 | 亚洲成色A片202477在线小说 | 亚洲 欧美 清纯 校园 另类 | 色偷偷影院 | 成人品视频观看在线 | 99国产精品久久久久久久日本竹 | 国产精品人妻系列21P | 丁香五月网久久综合 | 免费夫妻生活片AV | 亚洲v天堂v手机在线 | 篠田步美在线 | 闷骚影院 | 日韩欧美一区二区三区不卡在线 | 亚洲AV无码午夜国产精品色软件 | 欧美成 人 网 站 免费 | 中文字幕在线视频网 | 2024四虎永久在线影院 | 王伟忠周梦莹最新章节 | 在线亚洲v日韩v | h污小舞白丝玉足榨精小说 h重口味小说 | 1769国内精品观看视频 | 男女一区二区三区免费 | 伊人论坛 | 国产黄色在线播放 | 亚洲精品一卡2卡三卡4卡5卡 | 亚洲一区二区免费看 | 日本在线无 | 天天干夜夜爱 | 秋霞综合网 | 国精产品一区二区三区有限公司 | 亚洲国产成人A片乱码 | 撕开奶罩揉吮奶头的A片 | 久热精品6| 国产午睡沙发系列大全 | 快播3d肉蒲团 | 天堂网在线www资源在线 | 色国产在线视频一区 | 在线观看亚洲一区二区 | 99精品久久毛片A片 99精品免费久久久久久久久日本 | 国产 有码 无码 电影 | 国产精品久久久久久人妻精品流 | 国产熟妇久久精品亚洲熟女图片 | h片在线观看视频 | 黑人特黄AA完整性大片 | 日韩一区精品视频一区二区 | 丝宝女同丝袜福利视频 | A片粗大的内捧猛烈进出AV | 欧美在线观看一区二区三区 | 少妇老师寂寞高潮免费A片 少妇仑乱A毛片 | 国产精品99r8免费视频2022 | 国产69精品久久久久APP下载 | 成人免费aaaaa毛片 | 亚洲成人一区 | 色版网站 | 2020年最新国产精品正在播放 | 黄网站在线播放 | 国产精品久久久久久一级毛片 | 与黑人大黑机巴做爰A片 | 午夜伦理电影在线观免费 | 可以免费在线看黄的网站 | 午夜看片| 戳女人屁股流水羞羞漫画 | 抽插内射高潮呻吟爆乳 | 日韩AV无码一区二区三区不卡毛片 | 国产精品久久久久久日本一道 | 巜疯狂的少妇4做爰HD | 一级做a爱过程免费视 | 99久久国产露脸国语对白 | 日韩中文字幕视频在线 | 欧美一级日韩一级 | 激情国产一区二区三区四区小说 | 国产精品国产香蕉在线观看网 | 一个人看的www视频在线播放 | xxxxxx性受| 成都影院手机在线观看 | 无码高潮少妇毛多水多水免费 | 久青草视频在线 | 四虎影视在线看免费完整版 | 欧美综合色婷婷欧美综合五月 | 奇米在线777在线视频 | 最近中文字幕完整版2019免费 | 日韩亚洲国产高清免费视频 | 久99re视频9在线观看 | 欧美 国产 日本 | 真人试爱视频120分钟 | 男女做爰的全部过程A片 | 亚洲精品无码AAAAAA片 | 国产精品久久久久久久久久免费 | 99综合网 | 91午夜精品亚洲一区二区三区 | 高潮真紧好爽我视频 | 亚洲精品久久蜜臀AV色欲 | 日本无翼乌邪恶大全彩男男 | 日本真人啪啪试看30秒 | 免费观看的成年网站推荐 | 吉吉影音先锋av资源网 | 亚洲精品无码一区专区国产 | 日本在线你懂的 | 国产欧美日韩一区二区赛车 | 影音先锋电影三级伦理 | 影音先锋av色噜噜影院 | 成熟人妻AV无码专区A片麻豆 | 麻豆国产人妻精品无码AV | 午夜精品成人一区二区视频 | 日韩亚洲国产高清免费视频 | 最近免费中文视频2018 | 顶级少妇做爰视频在线观 | 在线观看www日本免费网站 | 欧美亚洲综合高清在线 | 在线丝袜视频 | 日韩短视频 | 九热在线| 按摩做爰A片在线播放 | 乌龙院在线观看免费观看完整版 | 国内精品久久久久久久999下 | 免费无码又黄又爽又刺激 | 五月色播先锋在线丁香 | 亚欧洲精品在线视频免费观看 | 永久AV狼友网站在线观看 | 麻生希 qvod 麻婆豆传媒一区二区三 | 在线看的免费网站黄2018 | 久久综合丁香 | 国产SUV精品一区二区四区三区 | 一级黄色网 | 无码欧美喷潮福利XXXX | 亚洲狼人| 久热亚洲精品一区二区 | 色噜噜综合熟女人妻一区 | 日本小视频免费 | 免费啪视频观看视频 | 日本黄H兄妹H动漫一区二区三区 | 天天操天天干天天舔 | 久久人妻熟女一区二区 | 日韩精品成人 | 免费精品一区二区三区A片在线 | 国产在线看片免费视频 | 小雪第一次交换又粗又大老 | 免费人欧美成又黄又爽的视频 | 日本三级韩国三级在线观看a级 | 千涩网| 缴情五月天 | 乱码一二三乱码又大又粗 | 欧美日韩一区二区三区色综合 | 久久久久久久久66精品片 | 久久精品免看国产 | free俄罗斯性xxxxhd中文 | 国产精品你懂得 | 在线播放91撕破艺校舞蹈系 | 女人扒开屁股爽桶30分钟 | 精品亚洲一区二区三区在线播放 | 日本三区四区免费高清不卡 | 久久精品这里只有精品 | 亚洲国产精品天堂在线播放 | 日韩精品AV一二三区在线 | 久久久香蕉 | 少妇寂寞偷公乱400章深夜书屋 | 好看的网站你懂的 | 五月丁香啪啪激情综合5109 | 欧美一区二区视频97色伦 | 成人亚洲A片V一区二区中出片 | 国产拍揄自揄免费观看 | 1区2区3区4区产品乱码99 | 小雪第一次交换又粗又大老 | 欧美激情欧美狂野欧美精品免费 | 国产乱人对白A片麻豆 | 色频| 8x国产精品视频 | 国产免费播放一区二区 | 除却巫山在线 | 国产又黄又粗又爽又色的视频软件 | 亚洲AV无码男男A片在线观看 | 九九九精品视频 | 日本免费网址大全在线观看 | 性欧美激情xxxd | 亚洲一区二区三区在线免费观看 | 国产精品永久免费 | jizz亚洲高清在线观看 | 欧美黄黄黄AAA片片 欧美黄色免费网址 | 在线成人色情电影网站 | 日本香港三级亚洲三级 | 日本69色视频在线观看 | 国产人妻换人妻仑乱电影 | 欧洲乱码卡一卡二 | 欧美午夜精品一区区电影 | 国产色XX群视频射精 | 97视频免费在线 | 国产高清乱码又大又圆 | 在线国产中文字幕 | 日韩欧美中 | 千涩成人| 久99久爱精品免费观看视频 | 最近高清中文在线国语视频 | 美女1819xxxx| 少妇P毛又多又黑A片免费 | 国产不卡在线视频 | 亚洲欧美日本国产 | 日产精品卡2卡三卡乱码网址 | 五月丁香综合缴情六月 | 免费啪视频观免费视频 | 国产精品久久久久9999 | 粗大新婚娇妻娇嫩 | 五月婷婷六月激情 | 国产综合有码无码中文字幕 | 最近最好看2019年中文字幕 | 91亚洲精品国产自在现线 | 蜜臀亚洲AV永久无码精品老司机 | 中文字幕一区二区三区精华液 | 99在线免费视频 | 天天射天天操天天色 | 日本大片免a费观看视频 | 消息称老熟妇乱视频一区二区 | XXX.日本学生妹.COM | 国产干b | 日韩免费高清一级毛片 | 美国a级毛片| 极品妇女扒开粉嫩小泬 | md色视频在线观看免费 | 日本吻胸捏胸激烈床戏视频 | 人妻被粗大猛进猛出69国产 | 日本一卡二卡3卡四卡无卡国色天香网入义站 | 粉嫩被粗大进进出出视频 | 日韩精品人妻AV一区二区三区 | 成年美女黄网站色大免费视频 | 免费一区在线观看 | 亚洲欧洲国产精品久久 | 2024四虎www网址2 | 精品成人资源在线观看 | 国产毛片久久国产 | 看黄免费在线 | 日韩精品中文字幕一区二区三区 | 久久国产欧美日韩精品免费 | 国产精品成人观看视频免费 | 99视频精品国产免费观看 | 狠狠躁日日躁夜夜躁A片55动漫 | 国产精品顶级A片无码久久久 | 小辣椒导航精品福利视频 | 国产hd高清freexxxx | 国产精品色情国产三级小说 | 国产精品99亚发布 | 99re6在线 | 亚洲一区高清 | 大伊香蕉在线观看视频 | 亚洲一区二区三区高清 | 国产又黄又爽又色的免费 | 国产a视频精品免费观看 | 五月婷色 | 色色男_免费 | 国产看片视频 | 免费无码无遮挡永久色情聊天下载 | 日韩精品久久久毛片一区二区 | 黑人巨茎大战欧美白妇免费 | 无码免费人妻A片AAA毛片一区 | 中国黄色一级片 | 香蕉AV久久一区二区三区 | 最近韩国电影高清免费观看在线 | 2020年精品国产品在线网站 | 日本边添边摸边做边爱60分钟 | 日本韩国香港三级 | 日韩在线卡2卡3卡4卡5卡免费 | 成人免费va视频 | 日韩精品中文字幕久久 | 狠狠躁夜夜躁人人爽天天段 | 豆国产97在线 | 亚洲 | 五月婷婷六月丁香激情 | 度年华在线观看全集免费播放 | 国产精品久久人妻拍拍水牛影视 | 人妻无码AV一区二区三区 | 狠狠综合久久久久综 | 欧美中文字幕一区 | 亚洲精品无人一区二区 | 日日日日人人人夜夜夜2017 | 黄色的网站在线观看 | 樱花草WWW视频在线观看视频 | 在线观看国产三级视频 | 人妻不敢呻吟被中出A片视频 | 亚洲熟妇无码乱子AV电影 | 色狐网| 美女免费高清观看影视大全 | 国内揄拍国产精品人妻在线A片 | 国产传媒精品1区2区3区 | 久久只有这里有精品4 | 夜夜操天天射 | 国产在线aaa片一区二区99 | 99久久中文字幕伊人 | 97色在色在线播放 | 亚洲精品伦理熟女国产一区二区 | 永久免费品色堂 | 日韩人妻无码精品系列 | 丰满人妻妇伦又伦精品APP国产 | 婷婷激情视频 | 内射人妻无码色AB麻豆 | 亚洲 校园 春色 另类 图片 | 在线小视频 | 美女扒开腿让男人桶视频在线观看 | 国产色情久久久久久久久 | 日本阿v视频高清在线 | 天天看天天干 | 亚洲AVAV天堂AV在线网爱情 | 99精品成人无码A片观看金桔 | 欧美FREE性护士VIDE0SHD | 精品深夜AV无码一区二区老年 | 日本亚洲欧洲免费旡码 | 国产精品中文字幕在线观看 | 久久九九少妇免费看A片 | 国产高清在线观看视频手机版 | 亚洲欧美日韩高清一区二区三区 | 久久无码潮喷A片无码高潮动漫 | 伊人午夜 | 欧美疯狂做受xxxxx喷水 | 黑人狂躁日本妞无码视WWW | 免费精品国产人妻国语麻豆 | 亚洲va中文字幕欧美不卡 | 97色五月| 亚洲精品综合一区二区三 | 日韩成人在线播放 | 欲香欲色天天天综合和网 | 97在线播放| 手机在线看片欧美亚洲 | 91精品免费久久久久久久久 | 欧美一级在线观看 | 国产精品顶级A片无码久久久 | 亚洲大尺度吃奶做爰电影 | 五月天色丁香 | 一级毛片aa| 精品一区二区三区波多野结衣 | 别停好爽好深好大好舒服视频 | 乱爱妇乱子伦精品 | 国精产品三区四区有限公司 | 丝袜免费视频 | 精品人妻无码一区二区三区VOD | 性生生活色欲片性按摩 | 国产又色又爽又黄A片小说 国产又色又爽又黄刺激在线视频 | 在线观看永久免费视频直播 | 91国内精品视频 | 免费男人的加油站app下载 | 免费观看羞羞的事情网站 | 综合一区无套内射中文字幕 | 91尤物国产尤物福利 | 国产aaaaa一级毛片 | 免费黄色在线看 | 亚洲精品国产精品乱码不卡 | 国色天香AV在线观看免费 | 强摸秘书人妻大乳BD | 性视频欧美| 国产一级视频久久 | 日本巨乳亚洲高清 | 女的毛片毛片毛毛片毛毛毛毛片 | 国模欢欢高清炮交图片 | 家庭教师波多野吉衣 | 免费又黄又硬又爽大片 | 国产网友自拍视频 | 国产在线观看91精品 | 成人国产精品免费软件 | 中国国产高清一级毛片 | 曰批全过程免费视频在线观看草莓 | 99在线视频免费观看 | 手机在线看片欧美亚洲 | 在线天堂资源www中文在线 | 日本一线a视频免费观看 | 久久久久久综合对白国产 | 国产产乱码一二三区别免费 | 插影院 | 成人亚洲A片V一区二区三区小说 | 日本MV在线观看永久免费 | 色窝窝亚洲AV在线观看 | 一级黄色片免费看 | 最新中文字幕在线视频 | 在线观看的av免费网站 | 2014天堂网| 欲色AV无码一区二区人妻 | 神秘感染1在线观看高清完整免费观看 | 欧美日韓性视頻在線 | 日韩在线视频www色 日韩在线免费观看视频 | 九九在线精品视频 | 最好韩国日本高清免费 | 久久免费看少妇高潮A片特无毒 | 免费高清视频免费观看 | h污小舞白丝玉足榨精小说 h重口味小说 | 亚洲色欲色欲WWW在线丝 | 日韩一区二区在线免费观看 | 三八色 | 闺蜜把春药放进我下面那个 | 性色爽爱性色爽爱网站 | а8天堂资源在线官网 | 小妖精抬起臀嗯啊H办公室 小妖精我要你真紧好爽视频 | 中文字幕色婷婷在线视频 | 把她日出水来太爽太紧了 | 天天干天天拍天天操 | 五月婷婷丁香在线 | 日日夜夜天天干 | 91网在线 | 在线看欧美日韩中文字幕 | 国产免费观看视频 | 麻豆文化传媒官方网站 | 影音先锋av最新资源网 | 成人无码A片在线观看 | 最近中文免费字幕在线播放 | 一本大道视频大全在线 | 色av| 亚洲精品久久久久久无码AV | 一级毛片在线看在线播放 | 中文字幕精品视频在线观看 | 无遮挡无掩盖的网站 | 美日韩在线视频 | 看毛片网站 | 日本一区二区三区在线观看网站 | 中文字幕在线视频免费观看 | 亚洲色无码A片一区二区麻豆 | 我要爱久久影视 | 国产老熟女伦老熟妇视频 | 久久精品视 | 久久久久毛片免费观看 | 日本网站在线看 | 51社区精品视频 | 欧美xxxx日本| 8x国产在线观看 | 国产免费久久精品99久久 | 国产在线亚洲精品观看不卡 | 午夜一区二区三区 | 国产午夜福利视频第三区 | 日本欧美日韩 | 韩剧你是我的命运 | 丝袜视频网在线观看 | 亚洲精品久久久久久一区 | 五月天婷婷在线观看视频 | 97在线观看在线观看 | 亚洲欧美日韩国产一区图片 | 国产成人久久精品AV | 国产精品香蕉在线一区二区 | 亚洲AV国产成人精品区三上 | 人妻满熟妇AV无码区国产 | 老司机福利深夜亚洲入口 | 欧美又大又色又爽AAAA片 | 国产成人免费全部网站 | 成人久久久久久 | 蜜桃色永久入口 | 午夜视频高清在线aaa | 国产精品国产三级国产普通话对白 | 久操精品在线观看 | 久久99国产精一区二区三区 | 黄网13 | 97SE亚洲精品一区 | 91精品国产综合成人 | 国产精品刺激好大好爽视频 | 成人无码T髙潮喷水A片小说 | 古装一级无遮当一级毛片 | 欧美一卡2卡3卡4卡 免费 | 农村黄a三级三级三级 | 蜜桃99.com| 成人亚洲A片V二区三区久久 | 99精品免费视频 | 欧美四房播播 | 日韩在线视频观看在线看 | 国产精品内射久久久久欢欢 | 波多野一区二区 | 日本女同视频 | 国产成人精品视频午夜 | 久久精品国产400部免费看 | 看片免费黄 | 国内精品 大秀视频 日韩精品 | 一级毛片免费播放 | 亚洲日本香蕉视频观看视频 | 欧美成人黄色 | 久久天天躁狠狠躁夜夜躁 | 97SE亚洲精品一区 | 午夜影视在线视频观看免费 | 少妇特黄A片一区二区三区免费看 | 五月婷婷丁香在线视频 | 国产真实乱人偷精品人妻69 | 天天干夜夜夜操 | 少妇毛又黑又浓水又多A片 少妇内射高潮福利炮 | 又爽又色禁片1000视频免费看 | 久久综合久色欧美综合狠狠 | 性插图动态图无遮挡 | 少妇特黄A片一区二区三区小说 | 久久视频在线视频观看99 | 荡公乱妇翠翠 | 99久久精品久久久久久清纯 | 另类视频综合 | 亚洲一级免费毛片 | 天天影视香色欲综合网 | a级毛片黄 | 日韩经典欧美一区二区三区 | 国产免费播放一区二区 | 亚洲性久久久久久久久久 | 国产亚洲一区二区麻豆 | 天天色天天射综合网 | 在线看片成人免费视频 | 韩国伦理电影在线神马网 | 日韩免费精品一级毛片 | 日本无码一区人妻免费视频 | jizz大全| 免费观看的成年网站在线播放 | 久久女人被添全过程A片 | 最新国产三级久久 | 成年女人免费播放影院 | 亚洲欧洲日韩另类自拍 | 国产亚洲精品久久yy50 | www黄视频| 好紧好湿太硬了我太爽了文字 | 天天干天天插天天 | 精品国产三级AV一区二区三区 | 色欧美综合 | 国产精品人妻无码免费A片导航 | 秋霞在线观看视频一区二区三区 | 色欲AV久久综合人妻无码 | 亚洲一区二区三区四区五区六 | 日本韩国欧美一区 | 人禽伦交小说 | 乱肉合集乱500篇小说书架下载TXT | 91香蕉嫩草 | 日本视频一区二区三区 | 狠狠色丁香婷婷综合尤物 | 日韩欧美在线一区二区三区 | 男人午夜天堂 | 长篇YIN乱大合集TXT全文下载 | 97人视频国产在线观看 | 女人脱精光让人桶爽了 | 色欲AV久久一区二区 | 欧美成人精品一区二区综合A片 | 国产色精品久久人妻无码看片软件 | 女18一级大黄毛片免费女人 | 黄毛片网站 | 欧美三级视频在线 | 天堂网资源www | 公和我做爽死我了A片N | AV亚洲精品少妇毛片无码 | 原来的琪琪电影在线看 | 国产亚洲精品久久7788 | 岛国三级 | 四虎在线免费观看 | 日韩观看 | 国产亚洲精品久久久闺蜜 | 99热久久国产精品这里有 | 国产黄色免费看 | 欧美伦理三级 | 亚洲欧美色图小说 | 国产精品1卡二卡三卡四卡乱码 | 麻豆出品视频在线 | 涩涩电影网站 | 在线色网站 | 国产一区二区三不卡高清 | 影音先锋中文无码一区 | 91在线看片一区国产 | 中文字幕无码家庭乱欲 | 亚洲一区二区三区秋霞秋理 | 最近中文字幕在线看免费完整版 | 香蕉视频一级 | 亚洲阿v天堂无码在线 | 在线视频网站www色 在线视频色在线 | 波多野结衣家庭教师免费观看 | 色综合中文字幕 | 欧美 亚洲 在线播放 | 黄页网站在线视频免费 | 国产熟妇精品一区二区 | 亚洲精品久久久久久中女字幕 | 九九99香蕉在线视频美国毛片 | 各种场合肉H校园1V1 | 国产V片在线播放免费观看大全 | 中午字幕在线观看 | 一区二区三区美女视频 | 麻豆AV蜜桃AV久久 | 少妇愉情理伦片丰满丰满午夜小说 | 美味的飞行 | 一道本二区视频不卡 | 单亲真实乱子伦免费视频 | 日韩不卡在线播放 | 黄色片免费网站 | 国内精品一区无码中文在线 | 日本高清一区二区三区无码 | 三级网络免费地址 | 欧美日韩国产另类一区二区三区 | 性做爰添LBB在线视频 | 免费国产成人α片 | 99久久精品免费看国产免费软件 | 日韩欧美一区二区三区在线 | 精品无码国产AV一区二区三区 | 乱精品一区字幕二区 | 成品人和精品人的在线观看 | 国内自拍99P| 酒色成人 | 另类内射国产在线 | 亚洲 自拍 欧美 小说 综合 | 99re热这里有精品首页视频 | 波多野结衣中文字幕一区二区三区 | 真人做A免费观看 | 免费最新看电影的网站 | 免费jizz在在线播放国产 | 免费一级欧美片片线观看 | 色欲天天天综合网 | 婷婷激情综合色五月久久竹菊影视 | 青草青草久热精品视频在线观看 | 五月婷婷开心中文 | 天天天综合网 | 97人人添人人澡人人澡人人澡 | 亚洲天天干 | 狂野欧美 | 亚洲AV色情偷拍精品 | 丰满熟女人妻大乳波多野吉衣 | 最近新免费韩国日本电影 | 欧美videos巨大hd | 成人网站国产在线视频内射视频 | 中文字幕精品久久 | 亚洲精品久久一区二区三区2024 | 老师你下面太紧进不去动态图 | 日本亚洲一区二区三区 | 爱色影音 | 黄色片网址在线观看 | 久久久久久久国产视频 | 日本不卡高清免费v日本 | 中文字幕日本无码少妇 | 国产亚洲精品久久久久久无99 | 六月婷婷缴清综合在线 | 在线不卡日本v二区到六区 在线岛国片免费观看无码 在线高清无码欧美久章草 在线观看 有码 制服 中文 | 无码一区二区三区 | 日韩欧美中文字幕一区 | 国产99久久久国产精品免费看 | 日本无码熟妇人妻在线视 | 亚洲最大的成人网站 | 97SE亚洲国产综合在线 | 免费播放一卡二卡三卡 | 狠狠精品干练久久久无码中文字幕 | 欧美精品久久 | 东京热 影音 | 熟女人妻精品一区二区三 | 日韩精品一区二区三区免费视频 | 国产人妻人伦AV又粗又一长 | 国产又黄又湿又刺激不卡网站 | 国内视频自拍 | 日本精品无人区卡1.卡2视野 | 亚洲欧美极品 | 午夜三级黄色片 | 欧美性生交A片免费看 | 波多野结无码高清中文 | 亚洲黄色网址 | 老师你下面太紧进不去小黄文 | 在线观看黄片 | 亚洲AV无码专区A片奶水 | 全肉整夜不拔男男车文 | 在线免费看电影 | 影音先锋成人无码影院 | 玫瑰之战免费观看全集在线 | 亚洲一级在线观看 | 国产精品久久久久无码人妻精品 | 国模雨晴 | 久久国产主播福利在线 | 国产精品久久免费视频 | 一个免费看片高清在线 | 一个人看www在线高清免费看 | 日韩在线视频精品 | 最近的2024中文字幕国语版 小说 | 18岁禁看网站 | 777婷婷天堂综合区色吧 | 欧美亚洲日韩在线在线影院 | 日本三级韩国三级美三级91 | 国产熟人AV一二三区 | 亚州一级| 久青草视频在线 | 欧美精品亚洲精品日韩专区 | 午夜在线视频国产极品片 | 国产精品一级二级三级 | 国产亚洲精品久久久无码网站 | 激情亚洲AV在线一区二区三区 | 国产XXXXXX农村野外 | 亚洲精品一区二区精华液 | 久久a 热6 | 亚洲精品成人区在线观看 | 国产乱来乱子视频 | 波多野结衣黑人40分钟 | 欧美性猛交一区二区三区 | 男人使劲躁女人过程A片 | 欧美囗交xx×bbb视频 | 亚洲精品18p | 少妇愉情理伦片丰满丰满午夜小说 | 里番肉工口全彩无遮挡 | 一区二区三区精密机械公司 | 国产一区二区三区在线影院 | 日本少妇A片又爽又黄 | 日韩国产成人无码AV毛片蜜柚 | 九九九99品牌的特色产品 | 激烈娇喘叫床声床震爽文 | JizzJizzJizz亚洲成年 | 欧美91| 打屁股gay | 日本精品中文字幕在线不卡 | 亚洲狼人综合网 | 中文字幕乱码一区二区欧美 | 翁公的巨物挺进了密进 | 少妇被粗大的猛烈进出A片久久久 | 国产国拍亚洲精品av麻豆 | 丰满少妇乱A片无码 | 都市激综合小说区另类区 | 电家庭影院午夜 | 777成了人精品视频 757午夜 | 天天影视色香欲综合网 | 四虎最新免费网址 | 九九视频免费观看 | 欧美日本一道道一区二区三 | 五月天丁香 | 国产黄色免费观看 | 好满好深好撑好涨h | 亚洲无吗精品AV九九久久 | 九色97 | 天堂资源在线中文在线 | 国产女同视频 | 乌龙院在线观看免费观看完整版 | 免费高清毛片天天看 | 波多野结衣视频一区二区 | 五月天丁香色 | 国产情侣一区二区 | 国产精品国产三级国产AV麻豆 | 国产在线一区二区三区四区 | 日韩精品视频在线观看免费 | 国产人碰人摸人爱视频 | 99久久精品免费看国产高清 | 最好看最新中文视频在线观看 |