🧠 Hiring: Head of Financial AI - Financial Large Model Lead 📍 Global Remote | 🧑‍💻 AI / Finance / Crypto | 🕐 1d ago - June 09, 2026 The company is seeking a Head of Financial AI with experience in Post-Training, RLHF/RLVR, and Agent systems. Candidates should have interest in finance, crypto, or trading. 🔑 Requirements: - Strong background in Post-Training - Experience with RLHF/RLVR - Agent system expertise - Interest in financial, crypto, or trading domains 📩 To apply: DM Laura B. on LinkedIn: linkedin.com/in/laurabao 🔗 Original post: linkedin.com/posts/laurabao_… ⚠️ DYOR! I don’t verify every job. If someone asks to run files (even from GitHub) or ask for payment 🚩 likely a scam. ❗️ I'm not hiring myself! I just sharing fresh web3/crypto/blockchain roles DAILY for all levels! 💡 For Interns & juniors → t.me/crypto_vazima_english 💼 Mid/senior jobs → t.me/web3_jobs_crypto_vazima #Hiring #Crypto #AI #Remote #Web3 #Blockchain #Fintech #Trading #Finance #LargeModels #RLHF #PostTraining #Agents #Job

The 2026 2nd International Conference on Embodied Intelligence and Large Models (EILM 2026) will be held on July 9-11, 2026 in Chengdu, China. Learn more: ais.cn/u/NbiQnu #EILM2026 #CallForPapers #EmbodiedIntelligence #LargeModels #FoundationModels #Robotics #Scopus

🚀 Breaking the memory barrier: Two Nvidia DGX‑S8K boxes linked with a 200 Gbps QSFP56 cable pulled a 235 B parameter model onto dual nodes (each 128 GB RAM, ~70 GB VRAM used). Real‑world results hit ~10 tokens/sec per user (≈0.1 s latency) and ~7 tokens/sec with two concurrent users—exactly the target performance. This demo shows why dual‑node inference is the next step for enterprise AI and why high‑speed 200 G QSFP56 interconnects matter. #AIInfrastructure #DualNode #LargeModels #GPU #TechDemo

Why OpenLedger Chooses Infini-gram for Attribution in LargeModels? app.binance.com/uni-qr/cart/…

Air, Rail, Subways—synchronized in a single environment. 🛩️🚄🚇 Powered by Freedo's proprietary algorithms and Large Models, we are scaling Spatial Intelligence across global transit hubs. #SpatialIntelligence #LargeModels #SpatialTech #SmartTransportation #AEC #Mobility #Tech

In the first quarter of the year, China’s artificial intelligence sector secured over 110 billion yuan in financing, marking a dramatic surge in funding for domestic large AI models. Throughout May, significant investments surpassed 30 billion yuan for homegrown large models such as Yuezhiyinmian and Jieyuexingchen. Embodied intelligence has also captured investor interest, with companies like Vita Dynamics and Luming Robotics consecutively raising hundreds of millions in yuan within a single week. Venture capital analysis indicates that the AI domain witnessed nearly 600 financing events in Q1, totaling more than 110 billion yuan—a year-over-year increase of 185.4%. Post-financing, AI startups are channeling funds primarily into three strategic areas. First, research and development: leading large model enterprises allocate tens of billions in R&D expenditure projected for 2025, significantly exceeding their current revenue. Second, computing power: acquisitions of GPUs and cloud service rentals consume between 30% and 50% of financing proceeds. Third, talent acquisition: attracting top-tier global experts and teams. Heavy investment in R&D accelerates technological advancement. By 2026, iteration cycles for Chinese large model firms are expected to contract to under three months, with substantial reductions in AI inference costs. This progression underlines ongoing advancements in the commercialization of artificial intelligence technologies. 今年第一季度，中国人工智能领域融资额突破1100亿元人民币，国内大型人工智能模型融资规模激增。5月份，国产大型模型项目如“月之暗面”和“阶跃星辰”获得超过300亿元资金注入。具身智能领域同样吸引资本关注，维他动力和鹿明机器人等企业在一周内连续完成数亿元融资。风险投资机构统计显示，中国一季度人工智能领域共有近600笔融资事件，融资总额超过1100亿元，同比增长185.4%。获得融资后，AI创业公司主要将资金投向三大核心方向。 首先是研发投入：头部大型模型企业预计2025年研发费用普遍达到数十亿元，远高于同期营收水平。其次是算力资源：GPU采购及云服务租赁占融资资金的30%至50%。第三是全球顶尖人才及团队的引进，研发投入丰富促使技术迭代加速。 预计到2026年，中国大型模型企业的迭代周期将普遍缩短至三个月以内，人工智能推理成本显著降低，推动人工智能商业化进程日益深入。 #AIInvestment #ChinaTech #LargeModels

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@l_luhank @ShantelRic2260 @Olmosbe43132397 @olimpus1788 @isaac1980333956 @Jason7881940251 @Yuni64929963 @hix1341 @LargeModels @MichelleMe44596 @sopatra42657 @h69107 @cactzuko @naovaianao @chessolana @02bind @zencrethary @HashimMunnaa @DextersBackyard @YogiCrypto1703 #FpWTsQ3VnS6ilmpj54LZjaSj2sxAYSRxve3wnijBLA1i3yrZqykNAKazJtd33mQCwk7mlJiOOSjPtsABr7SeaMhFOHqSbBUy84TS x.com/i/lists/20575235289670… x.com/i/spaces/1dxYljZrMryJX

@AquagodsNFT @PhongHV6789 @e_omokudo @anil_nar @BlakeLanCrypto @MemonaSule37027 @WillGra81721649 @bushra_azeem999 @PaulSullerot @BWallet1081047 @LargeModels @zarif_3a @gulkaya210 @BellaQueenbee @yett53358 @AHMED_10_Ali @amychan911 @Observer650 @0xsigler @M_Althoen #fXMfqO3Y9yoRlUO9h6rJtq9u93mXGmxDsSOsvF3zQeUwlMA4xFZusvoKMaX9Cixr9axnQHk3CjOugXFRfG36Qkbu67idTg5dCwNs x.com/i/lists/20575235289670… x.com/i/spaces/1kKzDMZrmjyJv

Dubai: The Quantum City. 🇦🇪 Powered by Freedo's proprietary algorithms and multimodal Large Models, we are shifting the paradigm from static rendering to autonomous Spatial Intelligence. #SpatialIntelligence #LargeModels #SpatialTech #Dubai #SmartCity #AI #TechTrends #Freedo

In the large model era, ordinary people can still make professional-looking work. If you can’t design, let AI sketch it first. If you can’t write scripts, let it build the framework. @AndrewYNg @TechCrunch @fahima866878881 #LargeModels #ScriptEditor

How to discover high-value and actionable ideas from academic literature. Using the AI agent for a single task consumes approximately 32k points. Good news: 🎉🎉🎉 You can now invite both new and returning users to register and use the platform. Upon successful referral, both parties will receive 50k points. Don't miss out on this opportunity to boost your research credits! #LLM #LargeModels #LiteratureReview #Innovation #AcademicResearch #ScientificResearch #AI #ArtificialIntelligence #ResearchTools #AcademicLearning #WisPaper

QuestMobile's March 2026 AI-native app rankings: Doubao's MAU surpasses Qianwen and Deepseek combined! Qianwen and Deepseek take 2nd and 3rd, signaling a clear leader in AI apps.#AIApps #LargeModels

@trading_series @guoguo630073 @mghrawihayat76 @Michell13545807 @DungurawaJnr @PeanertBudder @LargeModels @martsepanovaa @NFTCH0PPA @Aliking00100 @KLF2407 @soylanaboy @trbldquid @Dededy2 @JoeNoSayQua @FutureModular @dansenal @BridgeLearning1 @ruth2ru2i9x @NeoShuang53611 @Ag1DrcAKQNeP1rX @LameeAmir @Vallie13Ari @MMvfgh @SundayOgiji123 @shnojibyas @ahmd_dniall @sara1995s @danyl8_ @starsandmoon222 @rfrff3fff3f @DexoTrades @21234Jafar @JarvisTheUnc @mycoldshower @luokun44872 @SANTA_ERR @AFranciosa2 @SurLaTeteDuPtit @Snowsea43 @AbesofMaine @mr_bilbil @0riend @CuriousJahna @djnnnyn @TuanTran081987 @idowole78686 @cathyxraine @jam3s_gg @zmyr180825 x.com/Jupiter_DEX/status/204…

In ICML26, all reviewer acknowledgments were accomplished in my AC batch. Scores are relatively conservative in the field of large reasoning models' optimization, inference, and agents. Glad to see the fine-grained evaluation of the rebuttal. Thanks for the smart review mechanism design of the organizing committee.😀 #ICML2026 #LargeModels

💪 Share, cite, or Star! After a year and a half of work by Professor Xingjun Ma and multiple revisions, our survey Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses is finally out. As AI moves into the physical world, mistakes are no longer just harmful text. They can have real and irreversible consequences. We propose the Capability-Risk Duality framework to organize embodied AI safety research into five levels: - Perception (face recognition access control) - Cognition (smart homes, guide robots, embodied question answering) - Planning (autonomous driving navigation) - Interaction (robotic arms, humanoid robots) - Agent (robots with memory, tool use, and self-evolution capabilities) Research is concentrated in perception, while cognition and agent-level safety remain underexplored, highlighting key directions for large model-driven embodied AI. 400 papers, 34 authors, multiple universities collaborated. #LLM #LargeModels #FudanNLP #ArtificialIntelligence #AI #HighQualityResearchTools #MultimodalAI #ResearchLearning #HumanRobotInteraction #FutureOfAI #WisPaper

Bilingual 双语 VLOG｜Humanoid Robots Asking Questions and Global Big Shots Discussing the Boundaries of Human-Robot Coexistence 在博鳌解码AI（人工智能）未来：人形机器人现场提问，多国大咖热议人机共存边界 From a conversation between New Zealand's former Prime Minister and a humanoid robot on the topic of "trust" to the introduction of an "AI Digital Speaker", the 2026 Boao Forum for Asia brought together political leaders, top scientists, and industry pioneers from around the world. They engaged in lively discussions on the "Advancement of Humanoid Robots" and "AI Industrial Upgrades". As technological breakthroughs continue to reshape societal structures and human cognition, how can we define the boundaries of safety and ethics while embracing innovation? Our reporter, Miss Bean (Yang Shidou), takes you inside the forum to hear the latest insights. Reporter & Editor: Yang Shidou (Ms. Bean) 采访 & 制作：杨诗豆（椰豆） Cameraman: Zhang Tongzhui 摄像：张统锥 Translator: Dong Fangyuan 翻译：董方源 Proofreader: Yang Shidou (Ms. Bean) 校对：杨诗豆（椰豆） #Asia #BoaoForumforAsia #BFA #China #Hainan #FreeTradePort #FTP #Qionghai #Boao #Cooperation #Development #Economy #Technology #ArtificialIntelligence #AI #HumanoidRobots #LargeModels #DataSecurity #IntelligentAgents #Doubao #Yuanbao #QWen #DeepSeek #OpenAI #ChatGPT #OpenClaw #亚洲 #博鳌亚洲论坛 #中国 #海南 #自贸港 #琼海 #博鳌 #合作 #发展 #经济#科技 #人工智能 #人形机器人 #大模型 #数据安全 #智能体 #豆包 #元宝 #千问 #龙虾

#NVIDIA #Feynman architecture is paving the way for next-gen #AI 🚀 Powered by the #A16 (#1.6nm) process, 3D stacked #LPUs, and low-latency inference optimization, it delivers a stronger foundation for the large-model era. #LargeModels 🔗：naddod.com/ai-insights/nvidi…

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2026 International Conference on Machine Learning and Large Models(ICMLM 2026) will be held in Qingdao,China on March 20-22, 2026. 𝗖𝗼𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗪𝗲𝗯𝘀𝗶𝘁𝗲: ais.cn/u/uMfqAj #internationalconference #ICMLM2026 #Callforpaper #MachineLearning #LargeModels