Vienouveau

[鼻整形の良医選び🏥鼻尖形成、鼻中隔延長、鼻フル、プロテーゼ、鼻翼縮小、小鼻縮小、貴族手術、人中短縮 @oxmfg2]

今度はLiSAの執刀医出てきて横転したけど、子供の頃からの比較で言えばこれ鼻骨骨切り幅寄せ＋鼻尖形成＋小鼻縮小＋鼻尖縮小の皮膚切除位やんないと無理なレベルで鼻小さくなってるよな。

鼻クラ界隈は分かると思うけど、なんちゃって鼻整形じゃ到底無理な変化よこれ

[Vienouveau @Filofleurie]

@guttapercha80 Ada aku kisah? Orang Arab sendiri perangai macam taik, prestij mereka dah berakhir

[Vienouveau @Filofleurie]

@limlipeng Sastifying.

[LIM LIP ENG @limlipeng]

🔥 Ah Long Dipukul
Petang semalam, berlaku kekecohan di belakang Wisma MCA Jinjang apabila sekumpulan ah long yang datang menuntut hutang pula dipukul.
Polis bertindak pantas dan telah menangkap 13 orang. Kes masih dalam siasatan.
Memang macam drama, tapi ini kejadian sebenar.

[How To AI @HowToAI_]

A toothpaste company has quietly killed the entire market research industry and nobody is talking about it.

Colgate published a paper showing you can predict real purchase intent at 90% accuracy by simply asking LLMs to roleplay customers.

And this is beyond insane.

If you ask an AI, "Rate this product from 1 to 5," it gives safe, middle-of-the-road garbage.

So researchers invented a method called Semantic Similarity Rating (SSR).

Instead of asking the AI for a number, they asked it to roleplay.

They gave the LLM a demographic profile. They showed it a product concept. And they asked it to write down its raw, unfiltered thoughts.

Then, they used a semantic model to translate those written thoughts into a numerical score.

The results are staggering.

Tested against 57 real corporate surveys and 9,300 actual human responses, the synthetic AI consumers matched real human buying behavior with 90% reliability.

They perfectly mirrored how different age brackets and income levels react to price changes.

And they provided detailed, qualitative feedback that was deeper and more critical than what actual humans wrote.

This destroys the economics of traditional market research.

You don't need to wait a month to see if a product will sell.

You can simulate 1,000 hyper-targeted customer interviews overnight.

You can A/B test pricing across every demographic instantly.

[Rikuo @riku720720]

音楽理論を感覚で理解できるWebアプリ作った。
同じコードの押さえ方のバリエーションまで全部わかって神
https://t.co/jqlZPAl5CS

[Crispy Taro Chips 香港小姐-秘学专家 @Honolulu_____]

if Qin Shi Huang had ordered the extermination of the Baiyue, this HK fashion model with symmetrical eyes would be a 9/10 instead of a 7/10 … and then you would understand …

[The Gulag Bot @LIGHTSEEKER1984]

谁再说未成年女性什么都不懂？多年前的视频了
女孩教唆另外两个儿童跳楼，被男子发现后就装傻充愣，直到发现男子，就想抢夺手机，毁灭罪证💩
女人从小就懂得利用她们的性别优势，和性别滤镜，装作人畜无害，实则是阴险恶毒，机关算尽
最毒妇人心，唯女子与小人难养也，古人诚不欺我

[Crispy Taro Chips 香港小姐-秘学专家 @Honolulu_____]

people will argue that KMT exiles made Taiwanese people better looking since they were social elites with better genes; meanwhile mainland Chinese billionaire heiresses look like this at … age 30

[Eivor @Eivor_Koy]

This Japanese dude complained that Chinese uses a single-character system for every element in the periodic table — yet this is precisely one of the reasons why Chinese students can learn chemistry with remarkably little effort.

Chinese employs a highly systematic phono-semantic strategy: the radical indicates the physical category, while the phonetic component hints at the pronunciation. Metal radical 钅 → metals (e.g., 镧 lanthanum, 铍 beryllium). Gas radical 气 → gases (e.g., 氩 argon, 氦 helium). An ordinary Chinese speaker can often guess an element’s basic properties at a glance with minimal memorization.

In contrast, Japanese primarily relies on katakana transliterations of international names in scientific contexts, especially for newer elements: oxygen → オキシゲン, hydrogen → ハイドロゲン, sodium → ナトリウム, beryllium → ベリリウム. This leads to longer names (often 4–7 syllables), no built-in clues about whether it’s a metal or gas, and a higher memory load for beginners.

Japanese does have intuitive native names for many common elements (酸素 for oxygen, 水素 for hydrogen, etc.), which are widely used in education and daily life. However, formal academic and IUPAC-style contexts lean heavily on katakana, forcing students to constantly switch between the two systems.

In short: what Chinese expresses efficiently in a single meaningful character, Japanese often renders with a longer string of syllables that carry no inherent information about the element’s properties. The efficiency and intuitiveness gap is real and immediately noticeable.

[❥ จัสวันนาเองยูวววว ⁷⁹ @Justwanna_]

ทุกคนลองเช็คดู

ถ้าลายนิ้วมือโค้งรับกันแบบมือข้างขวาในรูป จะเหมาะเป็นนักธุรกิจ

ซ้าย = พนักงานออฟฟิศ

[Hirokazu Yokohara @Yokohara_h]

Claude fable 5で勝手に作ってもらったゲームをもう一段改良してもらった
fable5はド素人の指示でもゲーム性と視認性良い感じに調整してくれるね

[🌸JL🌸 @na_la_la]

@uglyluhan No, I’m just pointing out the logical conclusion of your response.

[🌸JL🌸 @na_la_la]

@uglyluhan Ok sure. But you’ve clearly been influenced by a narrative. And all I can say is, question all narratives. Why is it meaningful to you, what ends does it serve? Are you trying to subtly undermine Malay culture and why?

[Eren Chen @ErenChenAI]

Robots are already out on the streets asking for money in China

[松浦有佑「発達障害を正しく知る」著者・アメリカ小児発達医 @yuskmatsu]

このベビートラップ現象、
実は医学的に説明でき、かつ回避する方法があります。

それは、、、

じっと見られたら、一旦目を逸らすことです。

赤ちゃんは、生後6ヶ月くらいになると、自分の家族(安全圏)、と他人、を区別する能力を身につけるようになります。

なので、じっと見つめられたときは、我々からすると可愛くて仕方ないと思いますが、赤ちゃんからすると、この人は自分にとって安全圏なのか、それとも敵なのかどうなのか、を区別しているフェーズです。

ここでじっと見つめ返すと、赤ちゃんは「知らない人だった！かつ敵意を向けられた！」となって泣きます。ですので、見つめ返したい気持ちを押さえて、一旦目を逸らしましょう。数分もすると赤ちゃんが、敵意がない人間だったと認識してくれるので、興味を失います。

そのあとに目を合わせてもすぐ泣いたりはしないことが多いはずです。もちろん全てに当てはまるわけではないですが、ベビートラップを避けたい方は試してみてください。

[spicylemonade @spicey_lemonade]

Mythos 5 made this No Man's Sky clone in 1 shot

[The Cat Leap @TheCatLeap]

@Ogrehon I don't know if this is helpful but my social life changed completely when I realized people were judging me on my appearance and expected a certain personality with that appearance. So I changed my personality. It's now all easy. I like myself less, but others like me more.

[Vienouveau @Filofleurie]

@Ogrehon It's the vibes I am sure of it