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🍰 BrownDust2 | Nartas’ Birthday 🎉 It’s the birthday of Anonymous Sage Nartas, a wandering sage who belongs nowhere and walks with the moon as his companion. 🌙 🎉 “Another year has passed… Time is a strange thing. Human or yokai—before time, we’re all the same. I used to blame where I came from, you know. I thought I was someone who could never truly belong anywhere. But now I understand… I never needed to belong in the first place. Origin, name—what use are they, really? Right now, under that moon… being here with those who accept me as I am—this moment alone is gift enough.” Today is a special day—a birthday you can spend with someone who accepts the quiet strangeness of time with calm grace. To Nartas, who treasures the present more than any title or past, why not offer a simple birthday wish—just as he is? A warm word shared under the same moon may be all the gift he needs. 🌙 #HappyBirthday# #Nartas#

📅 BrownDust2 | January Birthday Calendar It’s time to celebrate our favorite characters with January birthdays! Share your best wishes and help us fill the month with joy, surprises, and unforgettable memories. Let’s make this January extra special together! 🎂🎉 #Alec# #Olivier# #Lisianne# #Nartas# #Sonya# #Venaka# #Carlson#

Natasha Howard was on a heater in the 1H 😤 She had 22 PTS & 9 REB while going 83% from the field! Tune into CBS & Paramount+ to watch her work! MIN-CHI 🔗:

Announcing agentic performance benchmarking for Speech to Speech models on Artificial Analysis. We use 𝜏-Voice to measure tool calling and customer interaction voice agent capabilities in realistic customer service scenarios Even the strongest Speech to Speech (S2S) models today resolve only about half of realistic customer service scenarios end-to-end - a meaningful gap relative to frontier text-based agents on the same tasks. Voice channels introduce significant complexity: challenging accents, background noise, and packet loss, all while requiring fast responses, consistency across long multi-turn conversations, and reliable tool use. Performance also varies considerably by audio condition: in clean audio some models perform notably better, but realistic conditions continue to pose a challenge. Conversation duration also varies meaningfully across models, with implications for both customer experience and operational cost. About 𝜏-Voice: Our Agentic Performance benchmark is based on 𝜏-Voice (Ray, Dhandhania, Barres & Narasimhan, 2026), which extends 𝜏²-bench into the voice modality to evaluate S2S models on realistic customer service tasks. It measures multi-turn instruction following, support of a simulated customer through a complete interaction, and tool use against simulated customer service systems. The simulated user combines an LLM-driven decision model with realistic audio synthesis: diverse accents, background noise, and packet loss modelled on real network conditions. This complements our Big Bench Audio benchmark measuring intelligence and Conversational Dynamics (Full Duplex Bench subset) benchmark measuring conversational naturalness. Scores are the average of three independent pass@1 trials. We evaluate under realistic audio conditions using the 𝜏²-bench base task split across three domains: ➤ Airline (50 scenarios): e.g., changing a flight, rebooking under policy constraints ➤ Retail (114 scenarios): e.g., disputing a charge, processing a return ➤ Telecom (114 scenarios): e.g., resolving a billing issue, troubleshooting a service problem Task success is determined by deterministic checks against expected actions and final database state, consistent with the 𝜏²-bench evaluator. Key results: xAI's Grok Voice Think Fast 1.0 is the clear leader at 52.1%, averaging 5.6 minutes per conversation, the second-longest overall. OpenAI's GPT-Realtime-2 (High) (39.8%, 3.0 min) and GPT-Realtime-1.5 (38.8%, 4.8 min) follow, with Gemini 3.1 Flash Live Preview - High close behind at 37.7% (3.8 min). Speech to Speech is a fast evolving modality and we expect movement in rankings as we continue to add new models with these capabilities, and model robustness improves. Congratulations @xAI @elonmusk! See below for further detail ⬇️

#SODGROUP# #PR# 【‼️本日配信スタート‼️】 ⚠️Mr.michiru ⚠️本日配信作品 ⚠️売上げ本数順 2位(05/07) グロオナ ～オナニーはグロいぐらいがいい～ #汐河佳奈# #美原すみれ# #月原和奈# #奈良崎みづき# @shiokawakana @miharasumire @narasakimizuki

做爱时听的歌单，拿走不谢，收藏⬇️ 1. ZAYN - PILLOWTALK 2. Chris Brown - Back to Sleep 3. The Weeknd - Earned It 4. Miguel - R.A.N 5. The Weeknd - High For This 6. Zandros Ft. Limi - Obsessed 7. Bryson Tiller - Exchanged 8. 6LACK - Long Nights 9. Tory Lanez - Temperature Rising 10. Summer Walker - Girls Need Love 11. Usher - Climax 12. Tory Lanez - Friends With Benefits 13. Trey Songz - Neighbors Know My Name 14. Drake - Fire & Desire 15. Ciara - Body Party 16. Daniel Caesar Ft. Khalis Uchis - Get You 17. H.E.R - Focus 18. PARTYNEXTDOOR - Persian Rugs 19. The Weeknd - Call Out My Name 20. Chris Brown - Under The Influence 21. SZA - Snooze 22. Sade - No Ordinary Love 23. Rihanna - Skin 24. J. Cole Ft. Drake - In The Morning 25. Vector Ft. GoodGirl LA - Early Momo 26. Jeremih - Birthday Sex 27. Tory Lanez Ft. Chris Brown - The Take 28. Bryson Tiller - I Need Her 29. SZA - Saturn 30. 6LACK Ft. Jhené Aiko - First Fuck 31. Tory Lanez - Karreuche 32. Beyoncé Ft. Jay-Z - Drunk In Love 33. Bryson Tiller - Don’t 34. Selena Gomez Ft. Gucci Mane - Fetish 35. PARTYNEXTDOOR - Break From Toronto 36. 6LACK - PRBLMS 37. Miguel - Adorn 38. Beyoncé - Dance For You 39. R. Kelly - It Seems Like You’re Ready 40. Jeremih Ft. Lil Wayne & Natasha Mosley - All The Time 41. Miguel Ft. Kendrick Lamar - How Many Drinks? 42. The Weeknd - The Hills 43. The Weeknd - Often 44. Jhené Aiko - The Worst 45. Chris Brown - Take You Down 46. FKA Twigs - Two Weeks 47. DVSN - Too Deep 48. The Weeknd - Wicked Games 49. Sia - Helium 50. Beyoncé - Crazy In Love (Remix) 51. Halsey - Not Afraid Anymore via 52. ZAYN & Taylor Swift - I Don’t Want To Live Forever 53. Khalid & H.E.R - This Way 54. Ellie Goulding - Love Me Like You Do