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Model name: Milo Age: 19 Language: Spanish Customs ✅ (duo requests available) Videocalls ✅ Premade set: feet videos with face and self worship ($25)

StraightFeetHunter

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63,796 görüntüleme • 4 ay önce •via X (Twitter)

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Model name: Alex Age: 19 Language: Spanish Customs ✅ Videocalls ✅ Premades: feet tickling, sleep worship and bondage. Duo content and nudity (full file $25) Join our telegram channel or DM us to buy 🔥

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Model name: Alex Age: 19 Language: Spanish Customs ✅ Videocalls ✅ Premades: feet tickling, sleep worship and bondage. Duo content and nudity (full file $25) Join our telegram channel or DM us to buy 🔥

Str8FeetHunter (New)

44,431 görüntüleme • 1 ay önce

Meet our new and fast 3D sculpting model! ✅ Single image to mesh with detailed geometry in the order of minutes (more GPUs coming to get to <30-60s) ✅ Dense mesh re-topology using our custom language model (minutes) Available on all Cube plans:

Meet our new and fast 3D sculpting model! ✅ Single image to mesh with detailed geometry in the order of minutes (more GPUs coming to get to <30-60s) ✅ Dense mesh re-topology using our custom language model (minutes) Available on all Cube plans:

Common Sense Machines

53,311 görüntüleme • 1 yıl önce

NVIDIA Cosmos Reason 2 is here. 🥳 An open, highly accurate reasoning vision language model for physical AI, featuring: ✅ Improved spatio-temporal understanding and timestamp precision ✅ Flexible deployment with 2B and 8B model sizes ✅ Long-context reasoning with up to 256K tokens ✅ Expanded visual perception across complex environments We also have new Cosmos releases: Predict 2.5, Transfer 2.5, and the NVIDIA GR00T N1.6 robot foundation model. 📗Read our technical blog: 🤗 Download Cosmos Reason 2 on Hugging Face:

NVIDIA Cosmos Reason 2 is here. 🥳 An open, highly accurate reasoning vision language model for physical AI, featuring: ✅ Improved spatio-temporal understanding and timestamp precision ✅ Flexible deployment with 2B and 8B model sizes ✅ Long-context reasoning with up to 256K tokens ✅ Expanded visual perception across complex environments We also have new Cosmos releases: Predict 2.5, Transfer 2.5, and the NVIDIA GR00T N1.6 robot foundation model. 📗Read our technical blog: 🤗 Download Cosmos Reason 2 on Hugging Face:

NVIDIA AI Developer

45,677 görüntüleme • 8 ay önce

🚀 Meet KaneAI TestMu AI the next-generation AI-powered testing assistant for modern QA teams. KaneAI helps teams plan, author, and evolve end-to-end tests using natural language, turning requirements directly into executable code. Built for enterprise-scale complexity, it handles sophisticated workflows across all major programming languages and frameworks. QA teams often face hurdles like rapid development cycles, test case debt, and complex framework management. KaneAI addresses these challenges by: ✅ Generating structured test cases from text, JIRA, PDFs, images, audio, video, or spreadsheets ✅ Enabling complex testing workflows with natural language ✅ Supporting multi-language code exports and deep integrations with JIRA and GitHub ✅ Automating API and database testing, smart versioning, and auto bug detection ✅ Self-healing tests for UI changes and flexible manual interaction KaneAI augments QA teams, boosting productivity, reducing errors, and helping teams focus on outcomes rather than repetitive tasks. Learn more about KaneAI here: Connect with TestMu AI : LinkedIn: Twitter: #QA #TestAutomation #AI #GenAI #KaneAI #TestMu

🚀 Meet KaneAI TestMu AI the next-generation AI-powered testing assistant for modern QA teams. KaneAI helps teams plan, author, and evolve end-to-end tests using natural language, turning requirements directly into executable code. Built for enterprise-scale complexity, it handles sophisticated workflows across all major programming languages and frameworks. QA teams often face hurdles like rapid development cycles, test case debt, and complex framework management. KaneAI addresses these challenges by: ✅ Generating structured test cases from text, JIRA, PDFs, images, audio, video, or spreadsheets ✅ Enabling complex testing workflows with natural language ✅ Supporting multi-language code exports and deep integrations with JIRA and GitHub ✅ Automating API and database testing, smart versioning, and auto bug detection ✅ Self-healing tests for UI changes and flexible manual interaction KaneAI augments QA teams, boosting productivity, reducing errors, and helping teams focus on outcomes rather than repetitive tasks. Learn more about KaneAI here: Connect with TestMu AI : LinkedIn: Twitter: #QA #TestAutomation #AI #GenAI #KaneAI #TestMu

Mohini Shewale

16,809 görüntüleme • 7 ay önce

How to Use KaneAI — Best Gen AI Native (FULL GUIDE) 🔥” QA Engineers & DevOps: Stop wasting 80% of your time on manual tests. KaneAI converts natural language into executable End to End tests instantly: ✅ Upload JIRA issues, PDFs, or videos → Auto-generate test cases ✅ Self-healing locators for resilient Ul tests ✅ Analyze GitHub PRs to create/update tests automatically ✅ Seamless API calls, database queries, and backend validation Transform your testing workflow today - create, debug, and evolve tests in plain English. No coding required. Ship faster with confidence! Give it a try : #AITesting #KaneAI #DevOps #QualityEngineering

How to Use KaneAI — Best Gen AI Native (FULL GUIDE) 🔥” QA Engineers & DevOps: Stop wasting 80% of your time on manual tests. KaneAI converts natural language into executable End to End tests instantly: ✅ Upload JIRA issues, PDFs, or videos → Auto-generate test cases ✅ Self-healing locators for resilient Ul tests ✅ Analyze GitHub PRs to create/update tests automatically ✅ Seamless API calls, database queries, and backend validation Transform your testing workflow today - create, debug, and evolve tests in plain English. No coding required. Ship faster with confidence! Give it a try : #AITesting #KaneAI #DevOps #QualityEngineering

Erina | AI Tools & News

45,902 görüntüleme • 8 ay önce

Announcing the open-source release of Qwen3-VL! A powerful vision-language model that can operate GUIs, code charts from mockups, and recognize "everything" from daily life to specialized fields. Highlights: 🔹 Precise event location in videos up to 2 hours long. 🔹 OCR language support boosted from 19 to 32, with major gains on rare characters and tilted text. 🔹 Supports a native 256K context length, expandable to 1M tokens. 🔹 Achieves leading accuracy in risk detection in real-world scenarios. Available on ModelScope, HuggingFace, GitHub, and integrated into Alibaba Cloud Model Studio. Try it today!

Announcing the open-source release of Qwen3-VL! A powerful vision-language model that can operate GUIs, code charts from mockups, and recognize "everything" from daily life to specialized fields. Highlights: 🔹 Precise event location in videos up to 2 hours long. 🔹 OCR language support boosted from 19 to 32, with major gains on rare characters and tilted text. 🔹 Supports a native 256K context length, expandable to 1M tokens. 🔹 Achieves leading accuracy in risk detection in real-world scenarios. Available on ModelScope, HuggingFace, GitHub, and integrated into Alibaba Cloud Model Studio. Try it today!

Tongyi Lab

59,953 görüntüleme • 1 yıl önce

"Claude Code is not just for coding. It's an AI agent that can do whatever you want it to do." Here's my new tutorial with where he showed me exactly how to build a life OS with Claude Code in 25 minutes. He saves 2+ hours daily using: ✅ /researcher to analyze competitors ✅ /daily_brief to get AI news every morning ✅ /brain_dump to find patterns from notes His setup uses slash commands and sub-agents and honestly blew my mind 🔥 Watch the full tutorial to learn how to set up a life operating system for yourself. 📌 Watch now: Also available on: Spotify: Newsletter:

"Claude Code is not just for coding. It's an AI agent that can do whatever you want it to do." Here's my new tutorial with where he showed me exactly how to build a life OS with Claude Code in 25 minutes. He saves 2+ hours daily using: ✅ /researcher to analyze competitors ✅ /daily_brief to get AI news every morning ✅ /brain_dump to find patterns from notes His setup uses slash commands and sub-agents and honestly blew my mind 🔥 Watch the full tutorial to learn how to set up a life operating system for yourself. 📌 Watch now: Also available on: Spotify: Newsletter:

Peter Yang

190,168 görüntüleme • 1 yıl önce

We're opening Size/Vore Customs with local cosplayer and tummy aficionado: AnyaT ! We've become pretty good pals over the last year, and have decided to try meeting up for a week this June to shoot some original and custom content together. Customs start at $200 minimum for a 5-10 minute film +$25 per additional minute. Videos can involve anything size related from vore to feet to butt crush (with some limits). There will only be 5 slots available, and 2 are close to being claimed already. Her cosplay list will be viewable in the replies. All customs will be written, filmed, and produced by yours truly. She doesn't usually do customs, and we're hoping the funds will help us make this trip happen at all, so any help or interest is appreciated. Customs will be accepted at our discretion if we like the idea and vibe of the submitter, so no first-come, first-served. Contact us via Dm's or at paramouthpictures@gmail.com for inquiries. Hope to hear from you soon!

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We're opening Size/Vore Customs with local cosplayer and tummy aficionado: AnyaT ! We've become pretty good pals over the last year, and have decided to try meeting up for a week this June to shoot some original and custom content together. Customs start at $200 minimum for a 5-10 minute film +$25 per additional minute. Videos can involve anything size related from vore to feet to butt crush (with some limits). There will only be 5 slots available, and 2 are close to being claimed already. Her cosplay list will be viewable in the replies. All customs will be written, filmed, and produced by yours truly. She doesn't usually do customs, and we're hoping the funds will help us make this trip happen at all, so any help or interest is appreciated. Customs will be accepted at our discretion if we like the idea and vibe of the submitter, so no first-come, first-served. Contact us via Dm's or at [email protected] for inquiries. Hope to hear from you soon!

Paramouth Pictures

57,275 görüntüleme • 1 yıl önce

A team tested Pi0, Pi0 Fast, Gr00t, and ACT on real robot arms in manufacturing tasks. (🔖 Bookmark this for later!) The task was precise: place thin rectangular frames from a messy stack into a holder. The team fine-tuned each model on 100 real trajectories and compared training time, inference speed, motion quality, and success rates. ⬇️ Here’s a breakdown of what they found Pi0 (Original) ✅ Strongest overall performance in precise pick-and-place ✅ High success rate even in edge cases ✅ Longest training time (~11 hours, ~$30 per run) ✅ Inference time of 80 ms causes short pauses between actions Despite delays, it handles complex scenarios well… solid for high-precision tasks, but slow to train. Gr00t ✅ Trains fast (~2 hours, ~$5 per run) ✅ Performs almost as well as Pi0 on large-object tasks ✅ Struggles with fine precision; random movement in some trials ✅ More training didn’t fix jitter or random offsets Best suited for tasks where exact precision isn’t critical. Not ready for manufacturing-grade accuracy without more tuning. Pi0 Fast ✅ Promised faster training, but results were underwhelming ✅ Training at 6 hours still showed low success rates ✅ Inference was slower than expected ✅ Not reliable for generalizing even slightly new tasks Currently too unstable for real-world deployment. Doesn’t live up to the “Fast” name yet. ACT (Baseline) ✅ 200MB model—lightweight, but limited ✅ Struggles with stacked objects or ambiguous scenes ✅ Success rates around 70% in best-case setups ✅ Can’t match newer models on precision or generalization Still a solid baseline, but clearly a generation behind in robustness. 🚨 Extra Notes All newer models share a common issue: •Inference takes longer than a frame (80 ms vs 33 ms), so robots “pause” between chunks. •This results in jittery movements, but not a dealbreaker unless tasks are time-sensitive. Language-conditioned tasks also fell short: after training on two labeled tasks, the model couldn’t generalize to a third unseen combination using only text prompts. ✅ The good news? These models adapt well to new robot arms with quick fine-tuning. ❌ The bad news? There’s still no plug-and-play solution for improving performance after deployment. Reinforcement learning or DAgger-style data collection during real-world operation may be the next big step, something many teams in robotics are actively working on.

A team tested Pi0, Pi0 Fast, Gr00t, and ACT on real robot arms in manufacturing tasks. (🔖 Bookmark this for later!) The task was precise: place thin rectangular frames from a messy stack into a holder. The team fine-tuned each model on 100 real trajectories and compared training time, inference speed, motion quality, and success rates. ⬇️ Here’s a breakdown of what they found Pi0 (Original) ✅ Strongest overall performance in precise pick-and-place ✅ High success rate even in edge cases ✅ Longest training time (~11 hours, ~$30 per run) ✅ Inference time of 80 ms causes short pauses between actions Despite delays, it handles complex scenarios well… solid for high-precision tasks, but slow to train. Gr00t ✅ Trains fast (~2 hours, ~$5 per run) ✅ Performs almost as well as Pi0 on large-object tasks ✅ Struggles with fine precision; random movement in some trials ✅ More training didn’t fix jitter or random offsets Best suited for tasks where exact precision isn’t critical. Not ready for manufacturing-grade accuracy without more tuning. Pi0 Fast ✅ Promised faster training, but results were underwhelming ✅ Training at 6 hours still showed low success rates ✅ Inference was slower than expected ✅ Not reliable for generalizing even slightly new tasks Currently too unstable for real-world deployment. Doesn’t live up to the “Fast” name yet. ACT (Baseline) ✅ 200MB model—lightweight, but limited ✅ Struggles with stacked objects or ambiguous scenes ✅ Success rates around 70% in best-case setups ✅ Can’t match newer models on precision or generalization Still a solid baseline, but clearly a generation behind in robustness. 🚨 Extra Notes All newer models share a common issue: •Inference takes longer than a frame (80 ms vs 33 ms), so robots “pause” between chunks. •This results in jittery movements, but not a dealbreaker unless tasks are time-sensitive. Language-conditioned tasks also fell short: after training on two labeled tasks, the model couldn’t generalize to a third unseen combination using only text prompts. ✅ The good news? These models adapt well to new robot arms with quick fine-tuning. ❌ The bad news? There’s still no plug-and-play solution for improving performance after deployment. Reinforcement learning or DAgger-style data collection during real-world operation may be the next big step, something many teams in robotics are actively working on.

Ilir Aliu

21,844 görüntüleme • 1 yıl önce

We’re excited to announce the release and open-source of HunyuanImage 3.0 — the largest and most powerful open-source text-to-image model to date, with over 80 billion total parameters, of which 13 billion are activated per token during inference.The effect is completely comparable to the industry’s flagship closed-source model.🚀🚀🚀 HunyuanImage 3.0 originates from our internally developed native multimodal large language model, with fine-tuning and post-training focused on text-to-image generation. This unique foundation gives the model a powerful set of capabilities: ✅Reason with world knowledge ✅Understand complex, thousand-word prompts ✅Generate precise text within images Different from traditional DiT architecture image generation models, HunyuanImage 3.0’s MoE architecture uses a Transfusion-based approach to deeply couple Diffusion and LLM training for a single, powerful system. Built on Hunyuan-A13B, HunyuanImage 3.0 was trained on a massive dataset: 5 billion image-text pairs, video frames, interleaved image-text data, and 6 trillion tokens of text corpora. This hybrid training across multimodal generation, understanding, and LLM capabilities allows the model to seamlessly integrate multiple tasks. Whether you're an illustrator, designer, or creator, this is built to slash your workflow from hours to minutes. HunyuanImage 3.0 can generate intricate text, detailed comics, expressive emojis, and lively, engaging illustrations for educational content. The current release focuses solely on text-to-image generation and future updates will include image-to-image, image editing, multi-turn interaction, and more. 👉🏻Try it now: 🔗GitHub: 🤗Hugging Face:

We’re excited to announce the release and open-source of HunyuanImage 3.0 — the largest and most powerful open-source text-to-image model to date, with over 80 billion total parameters, of which 13 billion are activated per token during inference.The effect is completely comparable to the industry’s flagship closed-source model.🚀🚀🚀 HunyuanImage 3.0 originates from our internally developed native multimodal large language model, with fine-tuning and post-training focused on text-to-image generation. This unique foundation gives the model a powerful set of capabilities: ✅Reason with world knowledge ✅Understand complex, thousand-word prompts ✅Generate precise text within images Different from traditional DiT architecture image generation models, HunyuanImage 3.0’s MoE architecture uses a Transfusion-based approach to deeply couple Diffusion and LLM training for a single, powerful system. Built on Hunyuan-A13B, HunyuanImage 3.0 was trained on a massive dataset: 5 billion image-text pairs, video frames, interleaved image-text data, and 6 trillion tokens of text corpora. This hybrid training across multimodal generation, understanding, and LLM capabilities allows the model to seamlessly integrate multiple tasks. Whether you're an illustrator, designer, or creator, this is built to slash your workflow from hours to minutes. HunyuanImage 3.0 can generate intricate text, detailed comics, expressive emojis, and lively, engaging illustrations for educational content. The current release focuses solely on text-to-image generation and future updates will include image-to-image, image editing, multi-turn interaction, and more. 👉🏻Try it now: 🔗GitHub: 🤗Hugging Face:

Tencent Hy

413,096 görüntüleme • 1 yıl önce

🎂Shun’s Birthday Month Has Arrived!🎂 Get ready to party because 中井大/Dai Nakai & Shun Onitsuka are hosting a special Online Birthday Fan Meeting on JJAANN!🎉And yes, you’re on the guest list!🥳 🎁What’s in Store for You? ✨Face-to-Face Fan Meeting Hang out, play games & have fun together! ✨2:1 Private Video Call with Dai & Shun ✨A cozy, exclusive chat just for you! ✨Behind-the-Scenes Videos & Photos ✨Exclusive content you won’t see anywhere else! ✨Special Perks for ALL Attendees Extra surprises just for joining! ✨BONUS: Random Raffle Draws Win even more exclusive goodies! 렅截 📧All images & videos-including raffle prizes-will be sent directly to your email. Yes, they’re yours to keep! 🌍No Language Barriers! Fans from all over the world can enjoy this event! 🗣️Live interpretation available in English, Spanish, Portuguese, and Chinese check the schedule for your language! 💬JJAANN’s AI-powered subtitles support even more languages, so no one gets left out! 💳Price & Payment Options ▶️JJAANN In-App Payment: $200 ▶️PayPal: $180 ▶️Bank Transfer: $170 ▶️Wise: $170 👉🏻Check the "How to Purchase Your Ticket" slide in the images above for details! ⚠️Important Notes ✅Additional fees may apply depending on the payment method. ✅For PayPal, Wise, and Bank Transfers: You must complete the official ticketing form to confirm your spot-no form, no ticket! ✅Credit card payments are accepted via in-app purchases, PayPal & Wise, but availability may vary. 📌You can find more information on how to get your ticket here: Download JJAANN, grab your package, and get ready to join the b-day party with Dai & Shun-plus, you might just win some amazing raffle prizes!🎊 #ShunsBirthdayMonth #DaiAndShun #DaiShun #OnlineBirthdayPartyOnJJAANN #DaiShunJJAANN #JJAANN

🎂Shun’s Birthday Month Has Arrived!🎂 Get ready to party because 中井大/Dai Nakai & Shun Onitsuka are hosting a special Online Birthday Fan Meeting on JJAANN!🎉And yes, you’re on the guest list!🥳 🎁What’s in Store for You? ✨Face-to-Face Fan Meeting Hang out, play games & have fun together! ✨2:1 Private Video Call with Dai & Shun ✨A cozy, exclusive chat just for you! ✨Behind-the-Scenes Videos & Photos ✨Exclusive content you won’t see anywhere else! ✨Special Perks for ALL Attendees Extra surprises just for joining! ✨BONUS: Random Raffle Draws Win even more exclusive goodies! 렅截 📧All images & videos-including raffle prizes-will be sent directly to your email. Yes, they’re yours to keep! 🌍No Language Barriers! Fans from all over the world can enjoy this event! 🗣️Live interpretation available in English, Spanish, Portuguese, and Chinese check the schedule for your language! 💬JJAANN’s AI-powered subtitles support even more languages, so no one gets left out! 💳Price & Payment Options ▶️JJAANN In-App Payment: $200 ▶️PayPal: $180 ▶️Bank Transfer: $170 ▶️Wise: $170 👉🏻Check the "How to Purchase Your Ticket" slide in the images above for details! ⚠️Important Notes ✅Additional fees may apply depending on the payment method. ✅For PayPal, Wise, and Bank Transfers: You must complete the official ticketing form to confirm your spot-no form, no ticket! ✅Credit card payments are accepted via in-app purchases, PayPal & Wise, but availability may vary. 📌You can find more information on how to get your ticket here: Download JJAANN, grab your package, and get ready to join the b-day party with Dai & Shun-plus, you might just win some amazing raffle prizes!🎊 #ShunsBirthdayMonth #DaiAndShun #DaiShun #OnlineBirthdayPartyOnJJAANN #DaiShunJJAANN #JJAANN

JJAANN Global

57,282 görüntüleme • 1 yıl önce

The OncoAlert WEEKLY RoundUp 🚨 Covering the TOP of the week Sept 19-25, 2025 REGISTER at OR Discussing: ✅evERA Update : Oral SERD giredestrant + everolimus improves PFS in ER+/HER2– advanced Breast #Cancer ✅FDA Approval🇺🇸SC pembrolizumab approved for solid tumor indications. ✅PCS-9: Adding SBRT to ADT + enzalutamide doubles rPFS in oligometastatic CR #ProstateCancer ✅ARON-3 : ^177Lu-PSMA outperforms cabazitaxel w/ higher responses, longer survival & similar safety in PC ✅ #PancreaticCancer Review: Advances in early detection, neoadjuvant therapy, and emerging treatments aim to overcome resistance. ✅SBRT☢️offers high local control, bridge-to-transplant use, and synergy with immunotherapy in #HepatocellularCarcinoma ✅NSCLC 50-Year Review🫁 From no options to molecular profiling, screening, and targeted therapies ✅COMPEL : Osimertinib + chemo improves PFS & OS beyond progression🆚chemo alone in🧬EGFR+ #NSCLC ✅ Platinum chemo with PD-(L)1 increases resistance: CTLA-4 adds no benefit. Non Small Cell #LungCancer ✅ in early #BreastCancer HR+/HER2– patients gain recurrence benefit from anthracyclines + taxane chemo. ✅SAFE Trial ❤️Cardioprotective therapy preserves LV & RV function during anthracycline-based chemo. ✅Genomic HRD-based #OvarianCancer model predicts PARPi response better than current assessments ✅Proton craniospinal irradiation☢️improves CNS-PFS & OS🆚 photon IFRT in leptomeningeal metastasis🧠 Dr Rishabh Jain Komal Jhaveri, MD, FACP, FASCO Stephanie A. Haddad, DO Sarah Premji, MD Sergio Cifuentes Sherene Loi, MD Naoto T Ueno, MD, PhD Double Whammy Elvina Almuradova Abi Siva MD Rita Nanda Icro Meattini iacopo olivotto レ点🧬💉💊 Carlotta Becherini Viola Salvestrini Dr. Tamim Niazi Andrew Feifer MD MPH Sean Collins Prostate SBRT @ USF Health Álvaro Pinto Gustavo Thomas Zilli Fabio Cury Andrew Farach, MD Eleni Efstathiou Yüksel Ürün Maite Bourlon Fernando Sabino, MD, PhD Francesco Massari Daniel Castellano Nieves Martinez Lago MD PhD zuleyha akgun Aakash Desai Stephen V Liu, MD Diego A. Díaz-García Dr. Estela Rodriguez Dr. Antonio Calles 🫁🚭 ALFONSO DUEÑAS GONZALEZ Dr B.S.Bhati BSB 🇮🇳 OsmanKostekMD Roberto Ferrara Giannis Mountzios Niccolò Giaj Levra よし兄 Yoshi Mustafa Özdoğan, MD Dr Sarah Sammons Alex Shteynshlyuger MD Dario Trapani Matteo Lambertini, MD PhD

The OncoAlert WEEKLY RoundUp 🚨 Covering the TOP of the week Sept 19-25, 2025 REGISTER at OR Discussing: ✅evERA Update : Oral SERD giredestrant + everolimus improves PFS in ER+/HER2– advanced Breast #Cancer ✅FDA Approval🇺🇸SC pembrolizumab approved for solid tumor indications. ✅PCS-9: Adding SBRT to ADT + enzalutamide doubles rPFS in oligometastatic CR #ProstateCancer ✅ARON-3 : ^177Lu-PSMA outperforms cabazitaxel w/ higher responses, longer survival & similar safety in PC ✅ #PancreaticCancer Review: Advances in early detection, neoadjuvant therapy, and emerging treatments aim to overcome resistance. ✅SBRT☢️offers high local control, bridge-to-transplant use, and synergy with immunotherapy in #HepatocellularCarcinoma ✅NSCLC 50-Year Review🫁 From no options to molecular profiling, screening, and targeted therapies ✅COMPEL : Osimertinib + chemo improves PFS & OS beyond progression🆚chemo alone in🧬EGFR+ #NSCLC ✅ Platinum chemo with PD-(L)1 increases resistance: CTLA-4 adds no benefit. Non Small Cell #LungCancer ✅ in early #BreastCancer HR+/HER2– patients gain recurrence benefit from anthracyclines + taxane chemo. ✅SAFE Trial ❤️Cardioprotective therapy preserves LV & RV function during anthracycline-based chemo. ✅Genomic HRD-based #OvarianCancer model predicts PARPi response better than current assessments ✅Proton craniospinal irradiation☢️improves CNS-PFS & OS🆚 photon IFRT in leptomeningeal metastasis🧠 Dr Rishabh Jain Komal Jhaveri, MD, FACP, FASCO Stephanie A. Haddad, DO Sarah Premji, MD Sergio Cifuentes Sherene Loi, MD Naoto T Ueno, MD, PhD Double Whammy Elvina Almuradova Abi Siva MD Rita Nanda Icro Meattini iacopo olivotto レ点🧬💉💊 Carlotta Becherini Viola Salvestrini Dr. Tamim Niazi Andrew Feifer MD MPH Sean Collins Prostate SBRT @ USF Health Álvaro Pinto Gustavo Thomas Zilli Fabio Cury Andrew Farach, MD Eleni Efstathiou Yüksel Ürün Maite Bourlon Fernando Sabino, MD, PhD Francesco Massari Daniel Castellano Nieves Martinez Lago MD PhD zuleyha akgun Aakash Desai Stephen V Liu, MD Diego A. Díaz-García Dr. Estela Rodriguez Dr. Antonio Calles 🫁🚭 ALFONSO DUEÑAS GONZALEZ Dr B.S.Bhati BSB 🇮🇳 OsmanKostekMD Roberto Ferrara Giannis Mountzios Niccolò Giaj Levra よし兄 Yoshi Mustafa Özdoğan, MD Dr Sarah Sammons Alex Shteynshlyuger MD Dario Trapani Matteo Lambertini, MD PhD

OncoAlert

36,965 görüntüleme • 1 yıl önce

📋 Scouting Report | Junior Pamelerin Olugbade 🇧🇯 👤 Name: Junior Pamelerin Olugbade 🎂 Age: 19 🌍 Nationality: Benin ⚽ Position: Winger 🔎 Overall Assessment: Junior Pamelerin Olugbade is one of the most exciting emerging talents coming out of Africa. A modern winger blessed with pace, technical ability, and football intelligence, he has the tools to make a significant impact in both individual and collective attacking situations. ✅ Key Strengths: • Explosive acceleration and top-end speed. • Strong 1v1 ability with effective dribbling skills. • Intelligent movement off the ball and excellent use of half-spaces. • Creates chances and consistently generates attacking threat. • Confident attacking mindset and strong personality on the pitch. • High development potential due to his young age. 📝 Conclusion: A raw African talent with all the attributes required to reach a higher level in the coming years. Fast, skillful, intelligent, and decisive in the final third, Olugbade has the profile of a winger capable of attracting attention from top clubs if his development continues on the right path. #ScoutingReport #TalentIdentification #AfricanTalent #BeninFootball #FutureStar #EliteScout #PlayerAnalysis #FootballScouting #YoungProspect #Winger

Tactical Vision

14,940 görüntüleme • 3 ay önce

🚀 Introducing AgentCPM-Explore: The First Open-Source 4B-Agent Model to Conquer GAIA & Complex Real-World Tasks! 🤗 Hugging Face: 🔗 GitHub: ✨ Key Highlights: ✅ SOTA Agentic Performance: Sets a new benchmark for 4B-scale agent models—outperforming all peers, surpassing 8B models, and rivaling select 30B+ and closed-source LLMs. 🧠 Deep Research Capability: Excels at long-horizon reasoning, supports 100+ turns of autonomous interaction with multi-source cross-validation, human-like self-correction, and dynamic tool use + strategy adaptation—just like a real researcher! 🔓 Full-Stack Open Source: We’re open-sourcing the entire end-to-end agent stack—not just the model! Empower your own innovations with - AgentRL: Asynchronous reinforcement learning framework - AgentDock: Secure, extensible tool sandbox - AgentToLeaP: An one-click evaluation platform for agent tool-learning capabilitie - Full training data pipeline & reproducible workflows #AgentCPM #OpenSourceAI #AgenticAI #AI #GAIA #LLM #OpenBMB #AIAgents #HuggingFace

🚀 Introducing AgentCPM-Explore: The First Open-Source 4B-Agent Model to Conquer GAIA & Complex Real-World Tasks! 🤗 Hugging Face: 🔗 GitHub: ✨ Key Highlights: ✅ SOTA Agentic Performance: Sets a new benchmark for 4B-scale agent models—outperforming all peers, surpassing 8B models, and rivaling select 30B+ and closed-source LLMs. 🧠 Deep Research Capability: Excels at long-horizon reasoning, supports 100+ turns of autonomous interaction with multi-source cross-validation, human-like self-correction, and dynamic tool use + strategy adaptation—just like a real researcher! 🔓 Full-Stack Open Source: We’re open-sourcing the entire end-to-end agent stack—not just the model! Empower your own innovations with - AgentRL: Asynchronous reinforcement learning framework - AgentDock: Secure, extensible tool sandbox - AgentToLeaP: An one-click evaluation platform for agent tool-learning capabilitie - Full training data pipeline & reproducible workflows #AgentCPM #OpenSourceAI #AgenticAI #AI #GAIA #LLM #OpenBMB #AIAgents #HuggingFace

OpenBMB

13,996 görüntüleme • 8 ay önce

THEY CAN’T DO PUSH-UPS ⁉️ You’d be SURPRISED with how many HS & MS athletes that simply can’t do push-ups. (I know too many adults that can’t do push-ups either…) Why is that the case? 🚩 Too many coaches use push-ups for punishment & fitness at a young age without ever teaching the correct way to do a push-up… 🚩 Too many coaches emphasizing QUANTITY rather than QUALITY… Best way to fix it? ▪️Elevate the hands The higher your hands are, relative to your feet, the easier the push-up. It’s an auto-correct way to get better at push-ups. And I think it’s significantly easier than teaching “knees on the ground.” As you progress, lower the elevation. QUALITY >>> QUANTITY Here are some great coaching cues & models that can help fix issues: ✅ Hand placement slightly outside of chest. Fingers pointed straight ahead. ✅ Aim to touch the middle of your chest between your hands ✅ Your arms & torso should form the letters “A” or “I” ✅ “Screw your hands into the ground” ✅Lead with your chest, not your forehead ✅Body should rise & fall as one ❌ Your arms & torso should NOT form the letter “T” ❌ Your face should NOT track between your hands BONUS: Elevated push-ups are a great progression for athletes who CAN do great push-ups. The extra mobility will help get stronger in more extreme ranges of motion.

THEY CAN’T DO PUSH-UPS ⁉️ You’d be SURPRISED with how many HS & MS athletes that simply can’t do push-ups. (I know too many adults that can’t do push-ups either…) Why is that the case? 🚩 Too many coaches use push-ups for punishment & fitness at a young age without ever teaching the correct way to do a push-up… 🚩 Too many coaches emphasizing QUANTITY rather than QUALITY… Best way to fix it? ▪️Elevate the hands The higher your hands are, relative to your feet, the easier the push-up. It’s an auto-correct way to get better at push-ups. And I think it’s significantly easier than teaching “knees on the ground.” As you progress, lower the elevation. QUALITY >>> QUANTITY Here are some great coaching cues & models that can help fix issues: ✅ Hand placement slightly outside of chest. Fingers pointed straight ahead. ✅ Aim to touch the middle of your chest between your hands ✅ Your arms & torso should form the letters “A” or “I” ✅ “Screw your hands into the ground” ✅Lead with your chest, not your forehead ✅Body should rise & fall as one ❌ Your arms & torso should NOT form the letter “T” ❌ Your face should NOT track between your hands BONUS: Elevated push-ups are a great progression for athletes who CAN do great push-ups. The extra mobility will help get stronger in more extreme ranges of motion.

Tim Cortazzo

16,407 görüntüleme • 1 yıl önce

🚀 OpenApp Official Mainnet Launch Pi Network OpenApp 📢 We’re excited to announce that OpenApp is officially LIVE on Pi Network Mainnet! 🎉 OpenApp is a platform built to help developers, creators, and businesses launch, discover, and monetize applications within the Pi ecosystem. 🌐 OpenApp: ⸻ 🔥 What is OpenApp? OpenApp is a Mainnet application directory and discovery platform where users can explore Pi-powered apps and developers can showcase their projects to the Pi community. With OpenApp, you can: ✅ Discover and launch Pi applications instantly ✅ Submit and manage your own apps ✅ Earn Pi through payments, subscriptions, and premium features ✅ Promote apps through the OpenApp advertising system ✅ Track performance with built-in analytics ✅ Build your audience across the Pi ecosystem ⸻ 🛠️ Built for Pi Developers Whether you’re building with Pi App Studio or developing your own Pi application, OpenApp provides a platform to help you grow. Features include: 🔹 App Listings & Discovery 🔹 Pi Authentication Integration 🔹 Pi Wallet Payments 🔹 OpenPay Integration 🔹 Purchases & Subscriptions 🔹 Reviews & Ratings 🔹 User Bookmarks & Favorites 🔹 Developer Dashboard 🔹 Analytics & Performance Tracking 🔹 Advertising Network 🔹 Multi-Language Support ⸻ 💰 Monetize Your App and Earn Pi OpenApp makes it easy for developers to generate revenue from their Mainnet applications. Supported monetization options: 💎 Pi Wallet Payments – Accept Pi directly from users. 💎 OpenPay – Sell premium content, subscriptions, memberships, digital products, and services. 💎 Paid Apps & Premium Features – Unlock exclusive experiences for paying users. 💎 Subscriptions – Create recurring revenue from your community. ⸻ 🤝 Revenue Sharing Developers keep the majority of the revenue generated from their applications. Revenue Split 🧑‍💻 70% → Developer 🏢 30% → OpenApp Platform This revenue model helps developers earn Pi while OpenApp continues improving the platform, discovery tools, analytics, and ecosystem support. ⸻ 🚀 Pi App Studio Developers Welcome Built an app with Pi App Studio? You can now submit your Mainnet-ready application to OpenApp and reach more users across the Pi ecosystem. OpenApp provides a dedicated platform where Pi App Studio creators can: ✅ Publish their apps ✅ Gain visibility ✅ Grow their user base ✅ Accept Pi payments ✅ Earn recurring Pi revenue ⸻ 📈 Grow Faster with OpenApp OpenApp is more than an app directory. It’s a complete ecosystem designed to help developers: 🔹 Launch faster 🔹 Reach more users 🔹 Earn Pi revenue 🔹 Monitor analytics 🔹 Build sustainable Mainnet businesses ⸻ 📚 Learn Everything About OpenApp Our complete tutorial covers every feature available for users, developers, and advertisers. 📖 Tutorial: Learn about: • App Discovery • Submitting Apps • Monetization & Payments • Developer Dashboard • Advertising Network • Reviews & Ratings • Analytics • Pi Integration ⸻ 🌎 Join the Future of the Pi Ecosystem OpenApp is committed to helping developers build, launch, and monetize innovative applications on Pi Network Mainnet. Whether you’re creating your first Pi App Studio project or scaling an existing Mainnet business, OpenApp provides the tools to help you succeed. 🌐 Launch Today: 📚 Documentation & Tutorial: Build. Launch. Monetize. Earn Pi. 🚀💜 #OpenApp #PiNetwork #Mainnet #PiAppStudio #OpenPay #PiWallet #PiPayments #PiApps #Web3 #OpenSource #EarnPi #DeveloperTools #AppMarketplace #OpenAppLaunch 🚀

🚀 OpenApp Official Mainnet Launch Pi Network OpenApp 📢 We’re excited to announce that OpenApp is officially LIVE on Pi Network Mainnet! 🎉 OpenApp is a platform built to help developers, creators, and businesses launch, discover, and monetize applications within the Pi ecosystem. 🌐 OpenApp: ⸻ 🔥 What is OpenApp? OpenApp is a Mainnet application directory and discovery platform where users can explore Pi-powered apps and developers can showcase their projects to the Pi community. With OpenApp, you can: ✅ Discover and launch Pi applications instantly ✅ Submit and manage your own apps ✅ Earn Pi through payments, subscriptions, and premium features ✅ Promote apps through the OpenApp advertising system ✅ Track performance with built-in analytics ✅ Build your audience across the Pi ecosystem ⸻ 🛠️ Built for Pi Developers Whether you’re building with Pi App Studio or developing your own Pi application, OpenApp provides a platform to help you grow. Features include: 🔹 App Listings & Discovery 🔹 Pi Authentication Integration 🔹 Pi Wallet Payments 🔹 OpenPay Integration 🔹 Purchases & Subscriptions 🔹 Reviews & Ratings 🔹 User Bookmarks & Favorites 🔹 Developer Dashboard 🔹 Analytics & Performance Tracking 🔹 Advertising Network 🔹 Multi-Language Support ⸻ 💰 Monetize Your App and Earn Pi OpenApp makes it easy for developers to generate revenue from their Mainnet applications. Supported monetization options: 💎 Pi Wallet Payments – Accept Pi directly from users. 💎 OpenPay – Sell premium content, subscriptions, memberships, digital products, and services. 💎 Paid Apps & Premium Features – Unlock exclusive experiences for paying users. 💎 Subscriptions – Create recurring revenue from your community. ⸻ 🤝 Revenue Sharing Developers keep the majority of the revenue generated from their applications. Revenue Split 🧑‍💻 70% → Developer 🏢 30% → OpenApp Platform This revenue model helps developers earn Pi while OpenApp continues improving the platform, discovery tools, analytics, and ecosystem support. ⸻ 🚀 Pi App Studio Developers Welcome Built an app with Pi App Studio? You can now submit your Mainnet-ready application to OpenApp and reach more users across the Pi ecosystem. OpenApp provides a dedicated platform where Pi App Studio creators can: ✅ Publish their apps ✅ Gain visibility ✅ Grow their user base ✅ Accept Pi payments ✅ Earn recurring Pi revenue ⸻ 📈 Grow Faster with OpenApp OpenApp is more than an app directory. It’s a complete ecosystem designed to help developers: 🔹 Launch faster 🔹 Reach more users 🔹 Earn Pi revenue 🔹 Monitor analytics 🔹 Build sustainable Mainnet businesses ⸻ 📚 Learn Everything About OpenApp Our complete tutorial covers every feature available for users, developers, and advertisers. 📖 Tutorial: Learn about: • App Discovery • Submitting Apps • Monetization & Payments • Developer Dashboard • Advertising Network • Reviews & Ratings • Analytics • Pi Integration ⸻ 🌎 Join the Future of the Pi Ecosystem OpenApp is committed to helping developers build, launch, and monetize innovative applications on Pi Network Mainnet. Whether you’re creating your first Pi App Studio project or scaling an existing Mainnet business, OpenApp provides the tools to help you succeed. 🌐 Launch Today: 📚 Documentation & Tutorial: Build. Launch. Monetize. Earn Pi. 🚀💜 #OpenApp #PiNetwork #Mainnet #PiAppStudio #OpenPay #PiWallet #PiPayments #PiApps #Web3 #OpenSource #EarnPi #DeveloperTools #AppMarketplace #OpenAppLaunch 🚀

Mrwain Organization

35,914 görüntüleme • 3 ay önce

Dreamina's masterfully built next-gen AI video model serves to essentially change the game. Stepping dynamically from "clip stitching" to "long narrative × multi-asset × powerful editing" — let's review what's actually new: Seedance 2.5 is completely live worldwide on Dreamina — today — while a broader US rollout begins August 7. And yes: ✅ The entire fantastic Seedance suite (2.5, 2.0, plus all upcoming future models) is currently priced at its lowest-ever tier ✅ Dreamina obviously isn’t simply the most capable platform for Seedance 2.5 — it remains hands down the most affordable way to push it to the limits, full-capacity, requiring no add-ons ✨ 30s continuous generation (15s → 30s) — leave out the choppy stitching artifacts 📦 Up to 50 multimodal references (12 → 50) — blend your images, videos, audio, brilliantly all in one go 🎬 Precise local editing — carefully fix specific regions without ever re-rendering the whole clip 🌍 10+ languages — Spanish, Arabic, Japanese, Korean, and numerous more 🎯 3D white model & green screen support — high-level professional-grade control The fragile era of short clips is fully over. Intense industrial-grade AI video is actively here. 🚀 Coming soon on Dreamina. Meanwhile, jump in and create with Dreamina Seedance 2.5 and get your workspace ready for the upgrade! #dreamina #dreaminapartner #seedance #dreaminaseedance25

Dreamina's masterfully built next-gen AI video model serves to essentially change the game. Stepping dynamically from "clip stitching" to "long narrative × multi-asset × powerful editing" — let's review what's actually new: Seedance 2.5 is completely live worldwide on Dreamina — today — while a broader US rollout begins August 7. And yes: ✅ The entire fantastic Seedance suite (2.5, 2.0, plus all upcoming future models) is currently priced at its lowest-ever tier ✅ Dreamina obviously isn’t simply the most capable platform for Seedance 2.5 — it remains hands down the most affordable way to push it to the limits, full-capacity, requiring no add-ons ✨ 30s continuous generation (15s → 30s) — leave out the choppy stitching artifacts 📦 Up to 50 multimodal references (12 → 50) — blend your images, videos, audio, brilliantly all in one go 🎬 Precise local editing — carefully fix specific regions without ever re-rendering the whole clip 🌍 10+ languages — Spanish, Arabic, Japanese, Korean, and numerous more 🎯 3D white model & green screen support — high-level professional-grade control The fragile era of short clips is fully over. Intense industrial-grade AI video is actively here. 🚀 Coming soon on Dreamina. Meanwhile, jump in and create with Dreamina Seedance 2.5 and get your workspace ready for the upgrade! #dreamina #dreaminapartner #seedance #dreaminaseedance25

Jennifer Thompson

12,521 görüntüleme • 1 ay önce

HOW TO LOOK COOL & GET THE GIRL WHEN YOU APPROACH ❌ Home in on the girl you like and ignore her friend who’s also staring at you ✅ Open both girls at once, talk to both, win them both over ❌ Describe yourself as chasing after her (“courage to come up to you”) ✅ Use a chill opener instead (e.g., “Looks like you’re putting a lot of thought into that decision”) ❌ Ask her name unprompted (“What’s your name?”; you are seeking information from her) ✅ Offer your name first (“I’m Daniel”; you are offering value to her) ❌ Shake her hand like it’s a new business partnership ✅ Hold her hand a moment and give it a squeeze without shaking it ❌ Use her foreignness to compliment her looks in another language (“Muy bonita gracias”) ✅ Use her foreignness to ask what she’s doing here (creates an open loop) ❌ Compliment her looks a 3rd time while explaining yourself (“came up because you’re gorgeous”) ✅ Have her comply with you instead (“I love that bracelet. Let me have a look?” [beckon her]) ❌ Get her to show you the lingerie she bought then completely change the topic ✅ Get her to show you the lingerie she bought then flirt over it (“Oh… lingerie… what is THAT for??”) ❌ Ask her out 40 seconds in after on a non-high point not building any real attraction or connection ✅ Talk to her for at least 2 minutes, build attraction + connection, THEN ask her out on a HIGH point (i.e., she is really engaged, laughing hard, showing a lot of curiosity about you, etc.) Notes from the video: • During the initial moment, she smile genuinely and eyes him up and down (see her head to toe glance) while quickly finishing what she is doing. She shows initial openness to him. HOWEVER… • She gives the “Oh, gosh” eye shut and grimacing nod in response to his “chasing after you” opener. She acknowledges it’s ‘funny’ but still cringe. • She follows this by PICKING UP HER CUP (which she does not need to do) and holding it in front of herself defensively, creating a barrier between her and him. (If she was into the approach, she’d leave the cup there and face him without a barrier.) • After he blasts her with the fourth compliment, she backs away from him while laughing awkwardly and eye codes her friend (whom this guy’s still ignoring) in disbelief. • When he asks her out on “like a food date”, she takes two seconds to break eye contact to the side, still with her forced smile, briefly shakes her head “no”, then nods politely and says it “sounds good” and gives her number (while eye coding her friend again) just to get rid of him. • After he gets the number, he tells her “Next Friday?” and she doesn’t even need to think about what she has going on or check her schedule because she has no intention of actually meeting this guy, so she just says “Next Friday, perfect” to get this over with. Approach better & avoid these mistakes!

HOW TO LOOK COOL & GET THE GIRL WHEN YOU APPROACH ❌ Home in on the girl you like and ignore her friend who’s also staring at you ✅ Open both girls at once, talk to both, win them both over ❌ Describe yourself as chasing after her (“courage to come up to you”) ✅ Use a chill opener instead (e.g., “Looks like you’re putting a lot of thought into that decision”) ❌ Ask her name unprompted (“What’s your name?”; you are seeking information from her) ✅ Offer your name first (“I’m Daniel”; you are offering value to her) ❌ Shake her hand like it’s a new business partnership ✅ Hold her hand a moment and give it a squeeze without shaking it ❌ Use her foreignness to compliment her looks in another language (“Muy bonita gracias”) ✅ Use her foreignness to ask what she’s doing here (creates an open loop) ❌ Compliment her looks a 3rd time while explaining yourself (“came up because you’re gorgeous”) ✅ Have her comply with you instead (“I love that bracelet. Let me have a look?” [beckon her]) ❌ Get her to show you the lingerie she bought then completely change the topic ✅ Get her to show you the lingerie she bought then flirt over it (“Oh… lingerie… what is THAT for??”) ❌ Ask her out 40 seconds in after on a non-high point not building any real attraction or connection ✅ Talk to her for at least 2 minutes, build attraction + connection, THEN ask her out on a HIGH point (i.e., she is really engaged, laughing hard, showing a lot of curiosity about you, etc.) Notes from the video: • During the initial moment, she smile genuinely and eyes him up and down (see her head to toe glance) while quickly finishing what she is doing. She shows initial openness to him. HOWEVER… • She gives the “Oh, gosh” eye shut and grimacing nod in response to his “chasing after you” opener. She acknowledges it’s ‘funny’ but still cringe. • She follows this by PICKING UP HER CUP (which she does not need to do) and holding it in front of herself defensively, creating a barrier between her and him. (If she was into the approach, she’d leave the cup there and face him without a barrier.) • After he blasts her with the fourth compliment, she backs away from him while laughing awkwardly and eye codes her friend (whom this guy’s still ignoring) in disbelief. • When he asks her out on “like a food date”, she takes two seconds to break eye contact to the side, still with her forced smile, briefly shakes her head “no”, then nods politely and says it “sounds good” and gives her number (while eye coding her friend again) just to get rid of him. • After he gets the number, he tells her “Next Friday?” and she doesn’t even need to think about what she has going on or check her schedule because she has no intention of actually meeting this guy, so she just says “Next Friday, perfect” to get this over with. Approach better & avoid these mistakes!

Girls Chase 🏃‍♀️💨

65,755 görüntüleme • 3 ay önce