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first_img Baidu launched the portable office AI tool OkWork

After Alibaba and ByteDance launched Qianwen Office and Doubao Work respectively, Baidu has launched the AI tool OkWork, which focuses on mobile office solutions, integrating PPT generation, AI writing, spreadsheet data analysis, and poster image generation. The product interface features a minimalist and lightweight design, with the homepage showcasing four main modules: AI PPT, AI Writing, AI Spreadsheet, and AI Image Generation. This is also Baidu's recent move in the AI office scene following Kuku AI.AI PPT supports document to PPT conversion, PDF to PPT conversion, and outline generation for PPT, and can also beautify existing PPTs, split layers, and make AI modifications. AI Writing covers resumes, lesson plans, papers, reports, and document summaries, and supports PDF to Word conversion, continuation writing, and imitation writing; AI Spreadsheet focuses on data calculation and intelligent table creation. AI Image Generation includes capabilities for posters, avatars, as well as pixel art, hand-drawn newspapers, and comic strips. Users can complete content generation, document conversion, and image matching through conversations with specific requirements, and the template center provides PPT and resume templates.OkWork is not completely free; some features and rights consume AI points, which users can obtain by subscribing to a membership. The product covers scenarios such as workplace reports, student assignments, teaching preparation, and simple posters, leaning more towards quickly producing drafts and is not aimed at ultra-large documents or complex multi-person collaborative editing. According to 360iResearch, the global AI office software market is expected to grow to $35.49 billion by 2026 and is projected to reach $71.27 billion by 2032; a survey by iiMedia Consulting shows that the usage rate of office AI assistants among white-collar workers in China is 57.27%.

first_img OpenAI opens the Daybreak cybersecurity tool to the Ukrainian government

OpenAI announced that it is opening its AI vulnerability detection tool Daybreak to Ukraine's Ministry of Digital Transformation to locate and fix software vulnerabilities before they are discovered by Russian hackers. The news was announced on Wednesday during the United Nations General Assembly by Dmytro Kushneruk, Ukraine's Consul General in San Francisco, and Sasha Baker, OpenAI's National Security Policy Lead.Daybreak is based on OpenAI's flagship large model GPT-5.6 Sol and can scan outdated systems for weaknesses, verify whether suspected vulnerabilities can be exploited, and confirm whether patches actually close the vulnerabilities before they are released. OpenAI has previously opened the model to cybersecurity agencies in France, Germany, and Poland, where Poland's CERT Polska discovered six vulnerabilities in commercial router software, all of which have been fixed by the vendors.Ukraine's CERT-UA handled nearly 6,000 cyberattacks in 2025, a 37% increase from 2024, with local governments and government agencies being the hardest hit. This opening follows OpenAI's commitment to a $1 billion subsidy program announced on September 3, which is said to expand to "partner countries" in the coming weeks. Jamie MacColl, a researcher at the Royal United Services Institute, told the BBC that Western companies can also gain valuable intelligence from active conflict zones.

first_img Ripple's new developer toolkit supports the AI payment standards of Stripe and Tempo

Ripple announced the expansion of its XRP Ledger developer suite to support the Machine Payment Protocol (MPP) co-developed by Stripe and Tempo, as well as the open wallet standard. The XRPL AI Starter Kit version 1.1 adds this support, enabling AI agents to use tokens like XRP and RLUSD to pay for online services such as data and computing power. Jazzi Cooper, head of RippleX products, stated that Ripple's goal is for XRP and RLUSD to become the preferred payment options for developers when building applications.MPP allows AI agents to pay on demand: the service provider quotes a price for the request, and after the agent authorizes the payment, the service provider delivers the resources. This standard was co-authored by payment company Stripe and payment chain Tempo. Ripple has supported another network payment standard, x402, since June, and now supports both standards simultaneously. The open wallet standard allows agents to initiate transactions without accessing private keys and includes security mechanisms such as spending limits and whitelisted destinations.XRP payment channels are suitable for small, high-frequency payment scenarios, allowing agents to deposit XRP once, run hundreds of payment queries, and authorize small expenditures sequentially, enabling the service provider to collect cumulative payments without having to put each query on-chain. Currently, single payments support tokens like RLUSD, but continuous payment sessions are limited to XRP, and incorporating stablecoins into the channel depends on the proposed ledger upgrade. This payment software is still in the testing phase.

first_img NVIDIA N1X devices will be shipped in October, launching the open-source tool PAIR

NVIDIA announced that the RTX Spark devices equipped with the N1X chip will begin shipping in October this year. The N1X supports up to 128GB of unified memory, and the Blackwell GPU provides up to 10 petaflops of floating-point performance per second. The full version is equipped with a 6144 CUDA core Blackwell GPU and a 20-core Grace CPU, supporting 24GB to 128GB of unified memory; another version has 5120 GPU cores and 18 CPU cores, supporting only 24GB to 32GB of unified memory.NVIDIA launched the open-source tool NVIDIA PAIR, which can connect multiple RTX devices, DGX Spark, and even Apple devices in a home network to schedule idle computing power for collaborative processing of AI agent tasks. Compatible devices include computers with NVIDIA graphics cards (RTX 20 series and later, RTX Pro GPU, DGX Spark) as well as devices with Apple M4 or newer chips. PAIR prioritizes the use of idle computing power and automatically adjusts as devices join or leave the network.In a media briefing example, a household had approximately 165 TFLOPS of underutilized computing power. The Qianwen 3.6 35B A3B model completed agent tasks in an average of 18 minutes on a single Spark notebook, while a three-device PAIR cluster averaged 8 minutes and 48 seconds. The AI agent applications Perplexity Portable Computer, Hermes Agent, and OpenClaw will receive a more simplified local deployment method.
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