Feedback loop making you loopy? Try Generate Sound in #Premiere#. Just describe the audio you need and watch Generative Media Tool produce sound effects that plug right into your clips seamlessly. Plus, you can use your voice to refine timing and intensity. Try it today in the latest version of Premiere!

FM Speaker Highlight: @bnl5110 A founder who designs new ways for humans to interact — blending play, architecture, and technology to build tools and communities that feel both experimental and deeply human. She is the founder of Loopy, a tool for animating realities with over 50 million organic impressions, and previously designed new interactions at Y Combinator Research. Really excited to have her joining us at FM26. FUTUREMODE 2026 📍 Taipei Expo Dome | Sep 4–6, 2026 🌐 🏟 Early Bird Till 7/1 Local - International -

🔥 RAPBEAT 2026 Final Lineup Officially Announced! ✨ New surprise additions including The Cohort, H1GHR MUSIC, NCT TAEYONG, Loopy, Shyboii, Wuuslime, Marv, Rich Iggy, GGM Kimbo — and more! 🎤 Diverse flows clash freely, hard-hitting beats strike straight to the soul, melodic rap warms the entire venue. Come embrace an ultimate hip-hop feast for all rap fans! 📍 Seoul | Oil Tank Culture Park 📅 6.20 & 6.21 🎫 Available Ticket Tiers · ROCKET PASS (1 DAY – SAT / SUN) · 3RD TICKET (1 DAY – SAT) · 4TH TICKET (1 DAY – SUN) 👉 Click secure your limited spot now. The full final lineup is assembled. Let’s enjoy the purest hip-hop carnival together! #RAPBEAT2026# #RAPBEAT# #MusicFestival# #RAPBEATFESTIVAL# #rap# #HipHop# #ZICO# #JayPark# #LNGSHOT# #RIIZE# #Wuuslime# #Marv# #Loopy# #YangHongWon# #TAEYONG#

MADLY MEDLEY 2026 is officially announced! 🔥 The first round lineup is already heating up! ✨ AKMU, MONSTA X, IMJM with Swings, The Rose, Tiger JK & yoonmirae, BIBI, Paul KIM, LOOPY… More artists to be announced soon! 📍 Seoul | OIL TANK CULTURE PARK 📅 September 5~6, 2026 ⏰️First-Round Ticket Sales: July 9, 2026, 18:00（UTC+9） 🎫 First-Round Ticket Options: - 1ST TICKET (1DAY-SAT) - 1ST TICKET (1DAY-SUN) One stage, a thousand rhythms. Madly Medley—where all sounds come together💫 Click to secure your tickets in advance! #madlymedley# #musicfestival# #Yedong# #monstax# #swings# #BIBI# #loopy#

My dentist, Dr. Ishikawa, mailed a library book back to Arkansas last month. It was 44 years overdue. In 1980, when he was ten, his father's company moved the family to Arkansas for two years. A town of 4,000. Masaki spoke no English. At school, he ate lunch alone. At recess, he stood by the fence. After school, he went to the town library, because it was the only place in America where nobody expected him to talk. The librarian was Miss Lorene. Thirty. Big hair. Bigger laugh. She learned to say his name right on the first try. Nobody else in town ever did. Every afternoon, she kept the corner chair free for him. She left picture books on it. Then easy books. Then a real one. A thick book about a boy and a horse. He read it slowly. A dictionary on one knee. One page a day. In the spring of 1982, his grandmother got sick in Japan. The family left in five days. He never said goodbye to Miss Lorene. When he unpacked in Tokyo, the horse book was in his backpack. In Japan, something you borrow and don't return is a weight you carry. And the longer you carry it, the heavier it gets. At first, mailing it felt too embarrassing. Then it felt too shameful. Then forty years went by, and it was simply impossible. It sat on his shelf through medical school. Through his wedding. Through two kids. This year he turned 56. He decided he could not turn 57 with it. So he wrapped the book. He wrote a two-page apology, very formally, the Japanese way. And he calculated the late fees. Ten cents a day. 44 years. He wrote a check for $1,606. He didn't expect an answer. He just wanted to put the weight down. Three weeks later, an envelope came from Arkansas. Inside was his check, torn in half. And a letter. In big, loopy handwriting. "Dear Masaki, You don't owe this library one red cent. That book was never late. I renewed it every two weeks. Since April 1982. When we went to computers in 1998, the system wouldn't let me. Said nobody could have a book that long. I called the company and argued with a young man in Ohio for forty-five minutes. He let me. You left before you finished it. You were on page 43. I know because you folded the corner down, which I asked you nicely not to do. I figured a boy who read that slow and that careful was going to want to finish someday. So I kept it out for you. I'm 76 now. Retired. I still come in Tuesdays to renew it. Libraries are patient, honey. So am I. Love, Miss Lorene" Dr. Ishikawa read it at work, in the ten minutes between a filling and a cleaning. He had to cancel his two o'clock. He says that for 44 years, he thought he had taken something from America. It turns out America had been lending it to him the whole time. He is flying to Arkansas in the spring. He's bringing the book. He wants to put it in her hands himself. He wrote and told her. She wrote back one line. "Fine. But it's due back in two weeks."

Looped Transformers throw away their "work in progress" — the intermediate states from earlier loops. This method puts that discarded signal to use at decode time, almost for free. Title: Decoding Looped Transformers Better for (Almost) Free URL: 📝 Overview LoopCD is a training-free contrastive decoding method for looped Transformers, which gain parameter efficiency by running a shared block through repeated recurrent cycles. No auxiliary model, no retraining required. ❗ Problem it solves Standard decoding discards the intermediate hidden states produced across loop iterations and uses only the final prediction, wasting the naturally aligned "weak-to-strong" prediction pairs that emerge as the loops refine. 🛠️ Method Two variants: LoopCD-Logits contrasts predictions after the output layers (one extra forward pass), while LoopCD-Hidden contrasts hidden states before the coda layers (essentially zero extra cost). Both extrapolate from the first loop toward the final one using a guidance strength ω, with an adaptive version that pushes harder where the model is less confident. 📊 Results Ouro-2.6B-Thinking's AIME 2024 pass@1 jumped from 61.88% to 73.33%, and Huginn's HumanEval climbed from 22.56% to 31.71%. Running at half the loop count with LoopCD still matches or beats the full-depth baseline, cutting forward FLOPs by 22.5–48.2%. 🏢 Use cases Drops directly into existing looped Transformers like Ouro, Huginn, and Parcae, boosting reasoning performance while cutting inference cost with no retraining. #Transformers# #Decoding#

"Looped Diffusion Transformer" This new paper reuses the same Transformer blocks multiple times within each denoising step, repeatedly updating the hidden state to improve the prediction without increasing the model’s parameter count at inference-time. The found that a 260M model beats models up to 6.5x larger, and extra loops improve performance more than spending the same compute on extra denoising steps.