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💿 Ado – “ROCKSTAR” Limited Edition Vinyl Out Now! 💿 Calling all collectors — this one’s a must-have! 👀🔥 To celebrate Singles Day, Ado’s “ROCKSTAR” 7-inch vinyl is now available exclusively on the Interscope Store! 💙 This limited edition vinyl won’t be restocked once it’s gone — don’t miss your chance to own a piece of ROCKSTAR! 💫 🎶 Shop now via Interscope Online Store👇

Thanks for supporting my album! I love you all 🐻🫰 Get your copy of EP ALBUM [Down to Earth] CD online and in-stores now worldwide: 💿 #TAEYANG# #태양# #DowntoEarth# #THEBLACKLABEL# #INTERSCOPE#

[📢] TAEYANG 'VIBE (feat. Jimin of BTS)' Digital Store Now Open 'VIBE (feat. Jimin of BTS)' is now available for purchase as a Digital Single in the Official Store! ▶ #VIBE# #바이브# #TAEYANG# #태양# #Jimin# #지민# #THEBLACKLABEL# #InterscopeRecords#

Open has always been at the heart of how we build at AMD. That’s why we’re joining @Microsoft and others in signing an open letter supporting open-weight AI models. A strong AI ecosystem depends on open standards, interoperability and choice across software, systems and hardware:

Collaborative robots ("cobots") are reshaping the future of work by augmenting human capabilities—not replacing them. Designed to safely work alongside people, cobots are transforming manufacturing today and arerapidly expanding into healthcare, logistics, agriculture, laboratories, construction, and retail. As AI, machine vision, and semantic reasoning continue to evolve, cobots will becomeincreasingly adaptive, autonomous, and interconnected. Their future depends not only on physical intelligence, but also onstandardized digital identities, interoperable data, and shared semantic understandingacross global ecosystems. In Web3, domain namespaces such as .COBOTS have the potential to serve as digital identity infrastructure for robotics ecosystems—supporting decentralized identities, machine-readable services, asset discovery, and trusted interactions between robots, organizations, developers, and AI agents. Web3 domains are increasingly being explored as a foundation for digital identity and decentralized applications. #Cobots# #CollaborativeRobots# #Robotics# #Web3# #DigitalIdentity# #AI# #Industry40# #Industry50# #HumanoidRobots# #SemanticWeb# #KnowledgeGraph# #Automation# #FutureOfWork#

PITN has assembled a portfolio of exact-match multilingual digital assets spanning approximately 30 of the world's most widely spoken languages and writing systems. Structured using Unicode-based normalization, transliteration, and cross-lingual terminology mapping, the portfolio is designed to function as a semantic gateway for robotics and humanoid AI. By aligning concepts such as ROBOT, ROBOTS, HUMANOID, HUMANOIDS, and HUMANOID ROBOT across native scripts, these assets may support ontology-driven knowledge organization, AI discovery, semantic search, multilingual SEO, and globally consistent concept representation as search evolves from keywords to meaning. As humanoid technologies scale worldwide, standardized multilingual semantic infrastructure may become an increasingly important layer for global interoperability and discoverability. The more compelling question is not whether this semantic layer will matter, but at what point a major robotics company will have its "aha" moment and recognize that has already assembled a semantic gateway that could be leveraged today to accelerate global multilingual concept alignment and future humanoid ecosystems. #PITNAI# #Humanoid# #HumanoidRobots# #Robotics# #Ontology# #SemanticWeb# #KnowledgeGraph# #SemanticSearch# #AI# #NLP# #Multilingual# #Unicode# #SEO# #FutureOfAI# #AgenticAI# #DigitalInfrastructure#

Exchange-Integrated Liquidity Routing & Security Infrastructure StreamChain 2.0 is introducing key solutions designed to overcome the listing and liquidity barriers typical of standalone Layer 1 blockchains, granting direct access to vast global capital. 1️⃣ ERC-20 Cross-Chain Bridge (Integrated Liquidity Routing) We completely resolve the immense costs, complex integration procedures, and lengthy development timelines associated with listing new L1 mainnets on CEXs through our Advanced Ethereum Cross-Chain Interoperability Protocol. Cost-Effective CEX Listings💡 : Exchanges can list $STC using their existing, proven Ethereum node infrastructure. This entirely bypasses the heavy integration fees and engineering overhead required for custom mainnet node deployments. Instant Access to Deep Liquidity🌊 : The bridge connects our ecosystem directly to Ethereum’s massive Decentralized Finance (DeFi) liquidity pools and institutional capital. Dual-Layer User Flexibility⚡️: Native StreamChain: Zero-latency, ultra-fast, and cost-effective microtransactions (e.g., StreamLive donations/tips). ERC-20 Wrapped Token: Seamless access to high-liquidity trading and secure institutional-grade custody services. StreamChain 2.0 is accelerating toward sustainable ecosystem expansion and major global listings. Stay tuned for more updates! 🔥 #StreamChain# #STC# #Layer1# #CryptoListing# #CrossChain# #DeFi# #Web3# #CryptoNews# #SmartContracts# #BlockchainSecurity# #AMM# #AITech#

A unified digital foundation is becoming the bedrock of the built environment. Open standards, structured data, interoperable systems, digital twins, and AI-driven insights are helping organizations improve performance and make better decisions throughout the building lifecycle.

高人，你这个帖子让我整整琢磨了两天！本来想写个长文，但是太多头绪也不知道从何写起。总的来说是我这段时间上推的原因，总感觉自己的开发缺了很重要的认知；也是我这段时间除了自己硬件修复工作之外，还必须要去看text-to-CAD 的原因。 我为啥这段时间上推，就是心情不好。话多，我心情好的时候是不说话的，哪有这个功夫，可以一直干活。 很多行业，甚至是大部分AI需要落地的严肃场景，就是缺 IR, Verifier； 后续的TD和Platform Config必须建立在前面已经推导完成的前提下。AI写程序为什么那么厉害，就是因为IR-Platform Config这条链条是顺畅的。 我们看一下我这个视频。Zoo(text-to-CAD）就是创造了KCL这个IR, 集合你说的Specs/Impl 于一体，Specs是代码前面那一段。后面的Impl与verfier, 比如一些constraint是混在一起的。 这个版就做的非常好，就是我在你的提示下，自己把specs IR写好了。直接导入fusion我加了螺纹就是一个完整的可打印件。 我们要做任何一个行业的“如码" as code, 恐怕都逃不过这个阶段。 法律，医疗，CAD， circuit。 全都需要IR。 否则AI只是提供方案，不能提供方案验证，没有统一的IR，简直就是语言机——只会说！例如 Text-to-CAD 中，模型可以生成 KCL；但如果没有几何检查、约束检查, 这个图都画不出来的。 Transformer 本质上是概率预测器：P(next token | previous tokens) 代码非常成功是因为：代码行业拥有世界上最成熟的 IR 和 Verifier。 现在各行各业IR缺失，才是这一轮AI基本感觉漂浮在语言宇宙的原因。比如医疗。医疗算不算全世界标准最多的领域之一？ 医疗已经有 FHIR、DICOM、SNOMED 这些标准，但是这些标准大多数解决的是数据交换（Interoperability），而不是医学推理（Clinical Reasoning）。 如果真的要靠AI医学推理，需要耗费十几年的时间，真正把IR做出来，形成统一标准。 高人，给跪了。

15% of day to day work decisions will be autonomous by 2028 according to @Gartner_inc Up from 0% in 2024 To get there we need security, compliance, interoperability + payments to be solved We are building the Secure Compute Platform for Autonomous AI