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ドラマのセリフと向き合って合間に… もえあずプロデュースのMOE CHICKENをGet❣️🐣 一箱にもう一箱無料で付いてきた❣️ サクサクでジューシーで最高🤤 ソースで味変も美味✨ 是非食べてみてね〜🥰 #モエチキン# #MOE_CHICKEN# #moechicken# #pr#

いつも優しくて可愛くて癒し系な もえあず💕 2月以来に会えて嬉しかったなぁ💓 もえあずがプロデュースしたMOE CHICKENが8月からリニューアルオープンしたんだって🐣 食べるのが楽しみ過ぎる〜🥰

🚀 1,000+ TOKENS/S ON A 1T MODEL! 🚀 We are thrilled to release Xiaomi MiMo-V2.5-Pro-UltraSpeed in collaboration with @TileRT_AI , breaking the 1,000 tokens/s output speed on a 1 Trillion parameter model for the FIRST TIME! Not wafer-scale integration like Cerebras. Not pure on-chip SRAM chips like Groq. We achieve 1,000 tps on a 1T MoE model using just a SINGLE, STANDARD 8-GPGPU NODE. Read the full technical deep dive： Want to experience the future of real-time AI? 👉 Apply for UltraSpeed now: ⏳ Limited-Time Access: Application-based · Jun 8 – Jun 23 (PDT) 💬 Chat Experience: Completely FREE for a limited time — try the blazing-fast web chat now. ⚡ UltraSpeed API: Just 3x the price for a ~10x boost in output experience. 🤝 Enterprise & Large-Scale Needs: business-mimo@xiaomi.com

NVIDIA Nemotron 3 Ultra now available in Command Code! Strongest US open model yet! 🍀 • 1M context • 5x faster inference • 550B MoE frontier-intelligence open model DEAL 2.3x usage 🎟️ $1 Go plan gets you ~$23 usage on Nemotron Woah, it's fast x taste compliance is great!

Cursor 还是有两下子的，危机感非常强，训 Composer 2.5 的做法： 1. 把全部权重押在一个任务上。不做通用编程，只做"Cursor 里的软件工程"。模型就像一块存储盘，容量有限，那就把所有权重都喂给这一个任务 —— Composer 比 Opus 便宜一个数量级 2. 基座用 Kimi（1T MoE，30B active），先做接近预训练规模的 mid-training 灌代码 token，把分布铺宽；再上大规模 RL 把分布削尖。mid-training 让它会写代码，RL 让它写"对"的代码 3. 让模型直接在自己的 harness 里 RL。工具怎么调、环境怎么导航，全部烤进权重，不靠 prompt 描述 —— "prompt engineering 有上限，想做好产品就得改模型本身"。连上下文压缩都塞进 RL loop（self-summarization）：200K 窗口的模型，实际能连续跑到百万 token 4. 不用第三方 RL 环境厂商，直接拿生产环境（隔离副本）训；再加 real-time RL —— 从用户 happy/sad 的信号里，每几小时更新一次模型 Cursor × Fireworks · Sequoia Podcast 2026.05

Free News（無料ニュース速報） ★NGT48 杉本萌が新キャプテンを引き受けるまでの経緯や発表当日の心境を公表 #NGT48# #杉本萌# @moe_sugimoto07 #48times# 自分を成長させるチャンスだと思って引き受けることに。その覚悟を受け止めてください

6月6日(土)#すぷさま# in木更津🌺 +:.｡❥｡.:+:.｡❥｡.:+:.｡❥｡.:+:.｡❥｡.:.｡❥｡. 開催まで、あと、 ┏━━┓ ┗━┓┃ ┏━┛┃ ┗━┓┃ ┏━┛┃ ┗━━┛日‼️ チケット絶賛販売中！ ​【 公式サイト】 チケット・オンライン物販購入は、 リットリンクをチェック（物販〆切間近‼） +:.｡❥｡.:+:.｡❥｡.:+:.｡❥｡.:+:.｡❥｡.:.｡❥｡. 🩷Aチーム🩷 波崎天結 @ayu_hazaki 美波那緒 @_nao_minami みあん　@miann___ 日向七瀬　@nnsteyan_ 夏川えみり　@emiri_sub_ ふじ豆　＠fjmm_06 鈴川夏禾　@reinareina1206 瀬戸なちか 　@_nachika　 河北あいる　@25115miluku 楓　@kaedeky 栗原もみじ　@momiji3_3 橘ひかり　@hikachandesu001 松山みなみ　@matuyama_minami 宇野まや　@mayaya_mayaya_ あおたやや　@ao_yy_t 天津いちは　@ichichiha 東山澄礼　@Sumire_Tohyama りこぴん　 瑞海にも　@Nimo_mizuumi 雲晴ちお　@kumosechio 💛Dチーム💛 ごみちゃん　@gomichan_zzz 鳥飼まりあ　@maria_torikai 桜本珠希　@tamaki_Cherry 椎名糸　@itonoofficial 城咲マイル　@shirosaki_mairu 花野衣アイニー　@aini_Hiwillow 天音ちか（乙葉らぶ）　@amane_chika ひな　@cos_Hinaa みゆゆ　@thx_miyu 雪餅羽もえ　@moe_moechan121 桃瀬エル　@erupimesama 西條愛梨　@airin_saizyo 最上ゆに　@mogamiyuni 朝比奈更紗　@sarasaKokeshi 彼方玲　@raykanata 宮越虹海　@MikoNami_847 菜雲すう　@nagumosuu 神坂茉莉花　@marika1124321 +:.｡❥｡.:+:.｡❥｡.:+:.｡❥｡.:+:.｡❥｡.:.｡❥｡.:+

New Poll from @Citadel1842 taken between May 21-31 (mostly before Trump endorsement) GOP Gov. race of 600 likely voters: Evette - 17% Mace - 16% Wilson - 16% Reddy - 14% Norman - 13% Kimbrell - 1% Not sure - 23% GOP Senate race: Graham - 46% Lynch - 36% Not sure: 18% MOE: 4%

Super excited to announce seven new world-class MAI models today. They represent what we consider a new era in AI designed to keep you in control and on the frontier. First is our text foundation model, MAI-Thinking-1, exceptionally strong on reasoning and SWE tasks. - It’s a 35B active parameter MoE with a 256K context window. Independent human raters on Surge prefer it for overall quality in blind side-by-sides versus Sonnet 4.6, and it’s achieved 97% on AIME 2025, the key measure of its general-purpose reasoning abilities. - It's at 53% on SWE Bench Pro, placing it right alongside Opus 4.6 on one of the toughest coding benchmarks. - And since we co-designed our models with our own silicon, MAI-Thinking-1 is optimized on our MAIA 200 chip. Benchmarking head-to-head against the GB200, we see 30% better performance per dollar as well as a 1.4x performance-per-watt gain when running our MAI models on the MAIA 200 end-to-end. Next is MAI-Image-2.5 and its Flash variant. Two super strong models now at #2# on the leaderboards, surpassing the score of Nano Banana 2 on image editing. Last for now is MAI-Code-1-Flash, our new inference efficient coding model, especially tuned for VS Code and GitHub Copilot CLI. - Code-1-Flash achieves 51% on SWE Bench Pro, despite having just 5B parameters, putting it closer to Haiku in size but cheaper in cost. All of this is the foundation for Microsoft Frontier Tuning. It lets you customize our models to create custom, company-specific agents that only you control. You can make our model, your model. Your data. Your agents. Your moat. Early adopters are already seeing a difference. When we tuned our models for McKinsey’s tasks, MAI delivered the highest win rate, outperforming GPT-5.5 on quality, while being 10x lower on cost. Also really excited to be collaborating with the amazing team at Mayo Clinic to jointly train a new frontier AI model for healthcare. Our announcements today mark another milestone on the road to humanist superintelligence. You can learn more and about our other new models in our latest blog: