📢 Hot Summer Dream Justia Figure Pre-Order Notice Feel the refreshing summer breeze 🌊 Hot Summer Dream Justia figure pre-orders are now open! ⏰ ~ October 10, 2026 (Sat), 14:59 (UTC) ⚒ Hobby-Sakura (HSK) 🩱 1/7 Scale 🔗 Pre-Order #BrownDust2# #Figure# #PreOrder#

adonisjing's complete work is now available. Online celebrity sports student and bodybuilding contest referee Xiao Ming, went to Shanghai to shoot a new series of nude photo album, showing the annual limit of the season muscles, the super long cock is also brave, 劉京作品 Waves 3 Vol.02 全見完整版 新上市 網紅體育生和健美大賽裁判雙重身份的小明同學，赴上海拍攝全新一輯全裸寫真集 小明同學最帥賽季登場 1111今日快閃 男體影音寫真 任選2件82折 Code【1110】

GLP-1 receptor agonists and BPC-157 may share the peptide conversation, but their evidence is far from equal. Before believing the hype, ask what was actually studied, in whom, and for how long. Which peptide claim should we examine next? #longevity# #geroscience# #peptides#

🐡 The era of agonizing over which single LLM is "the best" might be coming to an end. Title: Sakana Fugu Technical Report URL: Sakana AI's Fugu is a commander (orchestrator) model that marshals a team of frontier LLMs and automatically assembles the best lineup for each task. Here are the three highlights worth knowing. 🧭 A learned conductor Fugu adds a lightweight selection head on top of a pretrained backbone and picks the best worker model directly from logits over hidden states. Because it skips autoregressive decoding, it keeps latency on par with calling a single frontier model — an elegant trick. 🕸️ Dynamically writing its own workflows (Fugu-Ultra) The high-end variant writes out full agentic workflows in natural language, defining task decomposition, subtask allocation, and targeted communication strategies. It composes multi-agent topologies — debate, sequential chaining, tree structures — of up to 5 steps, tailored per problem. 📊 Beating any single model 73.7 on SWE-Bench Pro (above Claude Opus 4.8's 69.2), 95.5 on GPQA-Diamond, 93.2 on LiveCodeBench — state-of-the-art among publicly accessible models. In agentic coding it lands a 5–6% relative gain, described as a full "generational" improvement. Reaching the frontier through smart orchestration rather than sheer scale — a fresh new scaling axis. #SakanaAI# #LLM#