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@natalyahaywood: I’ve never ordered physically from @rhode skin before, but I NEEDED these products. The blush, was Mikayla Nogueira’s fault. I saw her swatch it and LOVED it. IYKYK. #rhode #rhodeskin #makeup #mikaylanogueira #tempted

Natalya - Glow&Go+Journey=✨
Natalya - Glow&Go+Journey=✨
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Region: GB
Friday 09 October 2026 16:13:41 GMT
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jenpen2611
Jenpen2611 :
Ooo love these
2026-10-09 19:49:58
0
sammybullockpt
Sammy Bullock :
Oooo let me know how these are!!
2026-10-09 16:58:38
1
chloeecm7
❣︎𝕔𝕙𝕝𝕠𝕖❣︎ :
These look nice!
2026-10-09 17:19:04
0
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“Mera Ranjhan Mere Naal Ae” is a soul-stirring Punjabi Sufi Kalam inspired by the timeless poetry of Khawaja Ghulam Fareed, expressing deep love, spiritual closeness, and the mystical bond between the seeker and the Beloved. This heartfelt lyrical presentation reflects the essence of Ishq-e-Haqeeqi, where the presence of the Beloved is felt within the heart and soul. Credits Kalam: Inspired by the poetry of Khawaja Ghulam Fareed Adaptation & Presentation: Sain Saaqi Vocal: Sain Saaqi Music & Production: Sain Saaqi Label: Sufi Saints Music #sufikalam #sainsaaqi #sufisaintsmusic #tiktok
“Mera Ranjhan Mere Naal Ae” is a soul-stirring Punjabi Sufi Kalam inspired by the timeless poetry of Khawaja Ghulam Fareed, expressing deep love, spiritual closeness, and the mystical bond between the seeker and the Beloved. This heartfelt lyrical presentation reflects the essence of Ishq-e-Haqeeqi, where the presence of the Beloved is felt within the heart and soul. Credits Kalam: Inspired by the poetry of Khawaja Ghulam Fareed Adaptation & Presentation: Sain Saaqi Vocal: Sain Saaqi Music & Production: Sain Saaqi Label: Sufi Saints Music #sufikalam #sainsaaqi #sufisaintsmusic #tiktok
#fyp
#fyp
Ahora lo juzgan a uno por todo 😂 #magic #magia #cafe #funy #fyp
Ahora lo juzgan a uno por todo 😂 #magic #magia #cafe #funy #fyp
طريقة استخدام كريم Isisparma حسب تجربتي 🤍 أستخدمه يوم عن يوم، أحطه بالليل وبعدها أتحمم الصباح. الكمية اللي تكفي تكون تقريبًا بحجم حبة البازلاء، وكمية صغيرة تكفي لتوزيعها على المنطقة كاملة.#عنايه #تفتيح #تفتيح_البشرة #تبييض #كريمات أستخدماته للأندر آرم، المناطق الحساسة، الكفين، الركب والأكواع، وممكن استخدامه لمناطق الجسم المختلفة. ✨ ما يُستخدم على الوجه. طلبته من الصيدلية الفرنسية، وحبيت أشارككم طريقة استخدامي وتجربتي الشخصية فقط 🤍 مو إعلان ولا تعاون، مجرد تجربة شخصية وحبيت أفيدكم بالطريقة.
طريقة استخدام كريم Isisparma حسب تجربتي 🤍 أستخدمه يوم عن يوم، أحطه بالليل وبعدها أتحمم الصباح. الكمية اللي تكفي تكون تقريبًا بحجم حبة البازلاء، وكمية صغيرة تكفي لتوزيعها على المنطقة كاملة.#عنايه #تفتيح #تفتيح_البشرة #تبييض #كريمات أستخدماته للأندر آرم، المناطق الحساسة، الكفين، الركب والأكواع، وممكن استخدامه لمناطق الجسم المختلفة. ✨ ما يُستخدم على الوجه. طلبته من الصيدلية الفرنسية، وحبيت أشارككم طريقة استخدامي وتجربتي الشخصية فقط 🤍 مو إعلان ولا تعاون، مجرد تجربة شخصية وحبيت أفيدكم بالطريقة.
What Jev actually is, why it's so fast, and what you can build with it. Classification is as old as AI that can read: give it text, ask a question with fixed answers (complaint yes/no · which team · urgency 1–5), and the label drives a rule. The problem: we've been using models built for writing, a few seconds per answer. Jev (TypeSafe, launched Sept 15, founded by one of the OpenAI researchers behind ChatGPT's instruction-following) only decides. It never writes. Send the text once with every question; it scores every answer in one pass: yes/no, pick one, or a score, each with a confidence. 70–500 ms. Input ~$0.042 per million tokens, output free. TypeSafe measured up to ~200× faster and ~400× cheaper than top models on its own workflows, and says real-world gains are usually lower. Builders: a resume screened against 6,000+ companies in 25 seconds for $0.37; 98,000 items labeled in ten minutes. ~13% of paid Vercel AI Gateway teams used it within a day. Calibrated:
What Jev actually is, why it's so fast, and what you can build with it. Classification is as old as AI that can read: give it text, ask a question with fixed answers (complaint yes/no · which team · urgency 1–5), and the label drives a rule. The problem: we've been using models built for writing, a few seconds per answer. Jev (TypeSafe, launched Sept 15, founded by one of the OpenAI researchers behind ChatGPT's instruction-following) only decides. It never writes. Send the text once with every question; it scores every answer in one pass: yes/no, pick one, or a score, each with a confidence. 70–500 ms. Input ~$0.042 per million tokens, output free. TypeSafe measured up to ~200× faster and ~400× cheaper than top models on its own workflows, and says real-world gains are usually lower. Builders: a resume screened against 6,000+ companies in 25 seconds for $0.37; 98,000 items labeled in ten minutes. ~13% of paid Vercel AI Gateway teams used it within a day. Calibrated: "70% sure" should be right ~70% of the time, so software can act alone above a threshold and route the rest to a person. Build with it: every competitor ad, same five questions · every ticket, review, call note and CRM entry across systems, tagged the same way · an agent's actions checked before they run (LangChain already does this). Edges: text only; weak at math, counting, dates; reads your question literally; you design the questions and categories up front. That design is the skill. #jev #aiagent
Never leave Jin and Jung Kook in a Red Light, Green Light game 😅 #bts #bangtan #runbts #toronto #redlightgreenlight
Never leave Jin and Jung Kook in a Red Light, Green Light game 😅 #bts #bangtan #runbts #toronto #redlightgreenlight

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