RT Solana Foundation (@SolanaFndn)ConnectorKit is hereA new SDK to add wallet connection and management to your @Solana appCompatible with web3js and kit https://t.co/qZ4AJBPYnE ...

6/ Tongo provides everything as a single SDK: https://t.co/iDcgielGnJ> Simple API + high-level methods for every operation> Type-safe, full TypeScript support> Auto ZK proof generation> Encrypted balance management under the hood> Wallet/provider-ready for Starknet ...

You can build confidential payment flows today on Starknet, with @tongoxyzHidden amounts, no trusted setups, efficient ZK proof verification, and flexible compliance, all in one SDKTongo (@tongoxyz):🎉 Confidential Payments are live on Starknet 🎉The Tongo SDK is ready to be integrated TODAYOur frens at @Starknet & @StarkWareLtd built Kage with it to prove how comfy confidentiality actually isWhat are you waiting for anon?Come build the confidential future with us https://t.co/cEzXjv9rL7 ...

记者12月9日从工业和信息化部获悉，依据相关法律法规，工业和信息化部对APP、SDK（第三方 软件开发工具包）违法违规收集使用个人信息等问题开展治理。近期，经组织第三方检测机构进行抽 查，共发现24款APP及SDK存在侵害用户权益行为。 据悉，上述APP及SDK应按有关规定进行整改，整改落实不到位的，工业和信息化部将依法依规组 织开展相关处置工作。（记者周圆） ...

最近， 英伟达 CEO 黄仁勋 在 一次 内部会议 上 罕见发火 了 。 因为他发现 ： 在这家市值 4 万亿美元、 全球 最热 的 AI 公司 中 ， 居然 还 有 管理者 要求团队少用 AI —— " 我听说英伟达内部居然有人让员工 少用 AI？你疯了吗？ " "任何能被 AI 自动化的任务，都必须自动化" 据 外媒 Business Insider 报道，这场全员会发生在英伟达发布历史最高季度营收（570 亿美元，同比暴涨 62%）后的第二天。 当时 ， 公司上下沉浸在"大丰收"氛围中， 但 听闻 有人 要求 团队 少用 AI 后 ， 黄仁勋 直接当场发飙 ， 并 强调 ： "我希望所有能被 AI 自动化 的任务， 全部由 AI 自动化。 " 他 指出 ， 就算 AI 暂时做不好，也要继续用，"用到它 好 用 为止"，并亲手把它变得更好。 或许是 考虑到 员工 会紧张 "用太多 AI 是否 会被替代" ， 黄仁勋 还补充道 ， AI 是员工在公司持续扩张中保持竞争力的基础能力，而不是威胁 ： "我保证，你们永远会有事情做。" 与微软、Meta、谷歌、亚马逊等推动员工使用内部 AI 工具、甚至将其纳入绩效 ...

Core Insights - NVIDIA's CEO Jensen Huang expressed frustration over internal management urging teams to use less AI, emphasizing that all tasks that can be automated by AI should be automated [1][3] - Following a record quarterly revenue of $57 billion, Huang reinforced the importance of AI in maintaining employee competitiveness and job security, stating that AI should be integrated into daily workflows [3][6] Group 1: Company Performance and AI Integration - NVIDIA reported a record quarterly revenue of $57 billion, a 62% year-over-year increase [3] - The company has expanded its workforce from approximately 29,600 to around 36,000 in the past year, with an additional 10,000 positions still needed to meet demand [3][4] - Huang highlighted that the software engineering team is utilizing AI coding assistants like Cursor, indicating a shift towards an "AI-native" engineering culture [4] Group 2: CEO's Vision and Employee Assurance - Huang envisions NVIDIA growing to a workforce of 50,000 with 100 million AI assistants, demonstrating a commitment to AI integration [4] - He reassured employees that AI is not a threat to their jobs but a tool to enhance productivity, stating that the real competition comes from those who can leverage AI effectively [6] - Huang's message aims to alleviate employee anxiety regarding job security in the face of AI advancements, emphasizing that job roles will evolve rather than disappear [6]

RT Umbra (@UmbraPrivacy)An SDK for builders. A wallet for everyone.Starting now: cohort applications for dev teams, and waitlist signups for our new wallet. Privacy on Solana, any way you need it.More info: https://t.co/RaSexZItED https://t.co/T12FrT9hJt ...

Development & Deployment - AMD Embedded Development Framework (EDF) supports SDK-based development flow for AMD Versal adaptive SoCs [1] - EDF SDK can be installed from a shell script and potentially speeds up build tasks compared to on-target building [1] - The SDK allows cross-compilation of applications for Arm cores using an x86 host PC [4] - On-target development allows packages to be installed from the package feed, offering flexibility compared to the fixed content of the SDK [1] Workflow & Tools - The process involves installing the AMD EDF SDK, developing and compiling applications/kernels on an x86 host PC, and deploying them to a Versal AI Edge Series Gen 2 (VEK385) evaluation board [1] - QEMU flow is explored for application deployment, offering system emulation capabilities [1][2] - The "scp" command is used to copy executable files from the SDK to the evaluation board via the PS Ethernet [1] Kernel Module Development - Kernel modules can be developed and compiled on a host PC and deployed to a Versal evaluation board [1][4] - Preparing the kernel involves setting the kernel source directory environment variable and the local version variable [1] - The generated kernel module file can be copied into the kernel module directory of the active kernel on the evaluation board [2]

Software Development on AMD Versal SoCs - AMD Embedded Development Framework (EDF) SDK facilitates software application development and deployment targeting AMD Versal adaptive SoCs [1] - The SDK supports cross-development on an x86 host, enabling application and kernel development without direct board access [1] - The SDK can accelerate build tasks compared to on-target building, but its content is fixed, requiring recreation from EDF for updates [1] - On-target development allows package installation from the package feed, offering flexibility [1] - The process involves installing the SDK, cross-compiling applications for Arm architecture, and deploying them to the Versal AI Edge Series Gen 2 (VEK385) evaluation board [4] Kernel Module Development - Kernel modules can be developed and compiled on a host PC and deployed to a Versal evaluation board [1] - Preparing the kernel involves setting the kernel source directory environment variable and creating a unique identifier for the kernel in use [1] - The generated kernel module file can be copied into the kernel module directory of the active kernel on the evaluation board [2] Emulation with QEMU - The SDK provides QEMU scripts for full system emulation of the VEK385 board [2] - Booting QEMU requires the same boot artifacts and disk image used to boot on hardware [2] - Applications can be deployed to the emulated Versal system using QEMU, mirroring on-hardware execution [4]

Privacy Concerns in Crypto - Cryptocurrency transactions are less private than traditional payments, surprising many users [1][2][19] - Existing privacy solutions in crypto, like those in MetaMask, offer limited protection, primarily against front-running, but not against broader financial surveillance [1][16][17] - The industry believes the lack of privacy is a significant problem in the crypto space, hindering its potential for broader adoption [6][7][19] Blank Square's Solution - Blank Square is developing a composable privacy stack for Web3, aiming to be a middleware for privacy, similar to Stripe [2][3][8] - The company offers an SDK for integration into wallets and other protocols, as well as a web app and a mobile app to showcase smooth privacy experiences [2][9][10] - Blank Square utilizes ZK (Zero-Knowledge) technology to create shielded pools, where funds from multiple users are mixed to obscure transaction origins [21][22] - The company offers two modes of privacy: deep integration with private accounts and one-click privacy for shallower integrations, balancing user experience with privacy [22][25][26] Compliance and Future Trends - Blank Square prioritizes compliance, offering a "shielder guard" for retroactive revocation of anonymity based on proof of illicit activity [31][33][34] - The company anticipates a fragmented privacy landscape in the future, with different protocols making different trade-offs between privacy and user experience [46][47] - The industry predicts that crypto payments will become more private in the future, driven by both crypto-native users and institutions entering the space [47][48] Call to Action - The company encourages users to download the mobile app, use the provided code, and provide feedback to improve the privacy experience [53] - The company emphasizes that privacy is not about hiding bad actions, but about protecting lawful actions from unlawful observers [54][55]