INVA-AI-HERALD - ๐ฎ๐ฉ LG CNS Completes 30MW AI Data Centre in Jakarta
INVA-AI-HERALD
๐ฐ AI NEWS
1. ๐ฑ Meituan Unveils LongCat-2.5, a 1.6-Trillion-Parameter Multimodal AI Model
๐ฐ WHAT HAPPENED !!
Chinese technology company Meituan has released LongCat-2.5, a native multimodal model designed for long-horizon AI-agent tasks and complex software engineering. The model contains 1.6 trillion total parameters, activating approximately 48 billion per token. It combines visual understanding and text processing within a unified architecture, allowing it to work on coding, interactive webpages, creative design and 3D tasks. Meituan says the model was trained entirely using domestic computing infrastructure. Its development also incorporates long-horizon reinforcement learning, using real agent failures to construct repeatable training tasks. The model is accessible through its website and API.
๐ง WHAT CAN IT DO?
LongCat-2.5 can process visual and textual information, work through complex coding tasks, operate across agent environments and assist with complete software projects. Its architecture is designed for sustained multistep reasoning and multimodal interactions.
๐ REAL-WORLD APPLICATIONS
Software engineering: Develop and modify complex codebases.
Visual development: Build interactive websites and interfaces.
Creative industries: Support 3D design and visual creation.
AI agents: Execute extended, multistep projects.
2. ๐ข️ ADNOC Partners With OpenAI and G42 to Transform Its Entire Energy Operations
๐ฐ WHAT HAPPENED !!
Abu Dhabi's ADNOC has signed a multiyear agreement with OpenAI and G42 to integrate frontier AI across its energy operations. The initiative aims to connect decisions spanning oil production, processing, refining, logistics, sales and trading rather than treating each department separately. Its first applications include field master planning, which will combine decades of information from thousands of wells, reservoirs and facilities to generate development plans. Another application will help evaluate the commercial value of oil while it remains underground. The systems will run on UAE-based computing infrastructure, with human experts retaining oversight of consequential decisions.
๐ง WHAT CAN IT DO?
OpenAI's models will power interconnected agents that analyse industrial information, compare operational scenarios, forecast market conditions and coordinate decisions. The objective is to turn disconnected operational data into integrated decision intelligence.
๐ REAL-WORLD APPLICATIONS
Oil exploration: Analyse geological and reservoir information.
Energy production: Improve operational planning.
Supply chains: Coordinate logistics and commercial decisions.
Industrial AI: Connect intelligence across large energy operations.
3. ⚡ Ceva and Mobilint Bring NeuPro AI Processing Into Commercial Production
๐ฐ WHAT HAPPENED !!
Ceva and South Korean semiconductor company Mobilint have announced the first production deployment of Ceva's NeuPro NPU family inside Mobilint's REGULUS edge-AI system-on-chip. The processor combines Ceva's SensPro AI DSP with its NeuPro-Nano neural processing unit to handle sensing and AI inference directly on devices. REGULUS delivers up to 10 TOPS of AI performance while consuming less than three watts and supports up to 8GB of memory. The technology is intended for power-constrained systems that need continuous local intelligence. Mobilint's MLD-R1 USB accelerator, built around REGULUS, is already shipping.
๐ง WHAT CAN IT DO?
The combined processor handles sensing, signal processing and neural-network inference locally. It enables devices to analyse their surroundings and respond without depending entirely on remote cloud computing.
๐ REAL-WORLD APPLICATIONS
Robotics: Support real-time environmental perception.
Smart cameras: Analyse video directly on devices.
Industrial automation: Enable intelligent machine vision.
Drones: Process sensor information with limited power.
4. ๐ฎ๐ณ E2E Networks Launches Blaze, an Indian AI Inference Platform
๐ฐ WHAT HAPPENED !!
Indian cloud-computing company E2E Networks has launched Blaze, a pay-per-token AI inference service designed to provide access to open AI models through a single API. The platform runs on NVIDIA GPU infrastructure located in India and targets developers, startups and enterprises requiring production-ready AI computing. Its OpenAI-compatible interface is intended to simplify integration into existing applications, including coding agents, document intelligence, OCR, voice systems and generative media workflows. The launch also highlights data-sovereignty requirements for Indian businesses that prefer workloads to remain within domestic infrastructure. Blaze is positioned as an option for moving AI projects beyond experimentation.
๐ง WHAT CAN IT DO?
Blaze provides model inference through a unified API, allowing developers to connect applications with supported open models and pay according to token consumption rather than managing the entire GPU infrastructure themselves.
๐ REAL-WORLD APPLICATIONS
Indian startups: Deploy AI products without building data centres.
Voice AI: Power conversational applications.
Document intelligence: Run OCR and document-processing systems.
Coding agents: Provide inference infrastructure for software tools.
5. ๐งฉ Marble Cognition Raises $3.75 Million to Create AI Coworkers That Learn by Watching
๐ฐ WHAT HAPPENED !!
Munich-based startup Marble Cognition has raised approximately $3.75 million in pre-seed funding co-led by Heartcore Capital and Seedcamp. The company is developing AI coworkers that learn how employees perform everyday tasks by observing workflows across existing business applications. Instead of requiring organisations to manually document every process, its platform maps how employees handle customer support, finance, operations and sales activities. It then uses this information to build agents capable of automating repetitive work while retaining human involvement in decisions requiring judgment or approval. The new funding will support engineering expansion, inference capabilities and a planned US market expansion.
๐ง WHAT CAN IT DO?
Marble observes workflows, identifies recurring activities and converts them into reusable automation processes. Its agents can interact with business applications to perform repetitive tasks while leaving important decisions under human control.
๐ REAL-WORLD APPLICATIONS
Finance: Automate repetitive financial administration.
Customer support: Handle routine customer-service workflows.
Sales: Assist with recurring CRM activities.
Operations: Convert observed employee workflows into automation.
6. ๐ฎ๐ฉ LG CNS Completes 30MW AI Data Centre in Jakarta
๐ฐ WHAT HAPPENED !!
LG CNS has completed a 30-megawatt hyperscale AI data centre in Jakarta, Indonesia, commissioned by KMG, a joint venture involving Sinar Mas Group and Korea Investment Real Asset Management. The facility is designed for high-performance computing using next-generation GPUs and was fully subscribed before completion. LG CNS says the site could eventually scale towards 400MW through later phases. The project marks a South Korean company's first overseas AI data-centre build for a local client. The company plans to pursue further AI infrastructure opportunities across Asia-Pacific markets. The build strengthens regional access to advanced compute.
๐ง WHAT CAN IT DO?
The facility provides power and high-density GPU infrastructure for training and running large AI models. Its hyperscale design supports enterprise workloads that need sustained compute capacity, while future expansion and liquid-cooling plans could accommodate denser AI hardware.
๐ REAL-WORLD APPLICATIONS
Training and deploying large AI models.
Running high-performance AI inference and enterprise workloads.
Supporting GPU-based cloud services and AI factories.
7. ๐ค RoboScience Raises Hundreds of Millions of Yuan to Advance Embodied AI
๐ฐ WHAT HAPPENED !!
Chinese embodied-AI company RoboScience has announced an A2 funding round worth several hundred million yuan, jointly led by Amber Capital, Hongruida Investment and Shanghai Semiconductor Industry Investment. Other participants include 360 Strategic Investment, Shuang Capital, Guolian Tongbao and Jinding Capital. The company develops the Visics general-purpose embodied-AI model, RoboMirage physics simulation engine and REX G1 wheeled humanoid robot. Its strategy combines simulation and real-world video demonstrations to improve robot learning. The new financing will support model development, industrial testing, expansion into logistics and retail, and the recruitment of additional technical talent.
๐ง WHAT CAN IT DO?
RoboScience combines simulated environments, visual training data and embodied models to help robots learn physical tasks. Its technology is intended to improve generalisation across different robot bodies, objects and operating environments.
๐ REAL-WORLD APPLICATIONS
Warehousing: Automate material-handling tasks.
Retail: Support store operations and inventory workflows.
Manufacturing: Develop adaptable industrial robots.
Robotics research: Improve learning through simulation and demonstrations.
8. ๐ TIER IV Introduces Autoware 2.0 for the Next Generation of AI-Defined Vehicles
๐ฐ WHAT HAPPENED !!
Japanese autonomous-driving company TIER IV has announced its commitment to lead development and commercialisation initiatives around Autoware 2.0, working with the Autoware Foundation and its global open-source community. The new generation expands the software's support for data-centric and AI-based autonomous-driving approaches while retaining compatibility with conventional rule-based systems. The architecture introduces more flexible software integration and reference designs intended to help automotive developers adapt the platform to different vehicles and operating environments. Partnerships with Arm, AWS and Red Hat will support computing, cloud infrastructure and vehicle-software integration.
๐ง WHAT CAN IT DO?
Autoware 2.0 provides a modular foundation for autonomous-driving systems that can combine learned AI components with conventional driving logic. Its reference designs aim to simplify adaptation across different vehicle platforms.
๐ REAL-WORLD APPLICATIONS
Autonomous vehicles: Develop AI-assisted driving systems.
Automotive research: Test hybrid driving architectures.
Mobility: Support autonomous transportation development.
Vehicle engineering: Integrate computing, cloud and software platforms.
๐ฅ TRENDING AI NEWS
9. ๐ SemiAnalysis Launches GDPx, a New Benchmark That Tests the Limits of AI Agents
10. ๐ฐ๐ท South Korea Pledges $15.97 Billion for AI, Semiconductors and Physical AI
South Korean President Lee Jae Myung has announced plans to invest 21.3 trillion won, approximately $15.97 billion, in AI and related strategic technologies through the country's proposed 2027 budget. The investment is nearly double the previous year's allocation and includes artificial intelligence, semiconductor development, physical AI and AI data-centre infrastructure. The proposal reflects South Korea's ambition to strengthen its position in the global technology race while supporting domestic chipmakers and advanced computing capabilities. The spending is part of a wider proposed national budget of 820.9 trillion won, which still requires parliamentary approval.
11. ๐ฎ๐ณ Dispatch Network Raises ₹5 Crore to Develop AI Logistics Model
Pune-based Dispatch Network has raised ₹5 crore in a pre-seed round led by Antler India, with participation from angel investors. The startup will use the funding to expand its AI team and develop its Large Logistics Spatio-Temporal Model, designed to improve intracity delivery operations. The system optimises order allocation and rider movement across platforms, aiming to reduce empty travel and improve rider utilisation. Dispatch says it has completed more than 100,000 deliveries since launching in Pune and plans to expand into Mumbai.
12. ๐ธ๐ช Sortrace Raises $800K to Improve AI-Powered Waste Sorting
Stockholm-based Sortrace has raised $800,000 in an oversubscribed pre-seed round led by Almi Invest, alongside Antler, Gorilla Capital, Linnรฉa Capital and angel investors. The company combines computer vision, camera sensors and data analytics to help municipalities understand household waste sorting. Cameras mounted on collection vehicles capture waste as bins are emptied; its AI analyses the images and converts the contents into structured data. The funding will support hiring, more installations and development of the system for additional stages of waste management.
✨ ๐ฃ๐ฅ๐ข๐ ๐ฃ๐ง ๐ข๐ ๐ง๐๐ ๐๐๐ฌ
๐ ๐ง๐๐ ๐๐๐๐ง-๐๐๐๐๐ ๐๐๐ง๐๐๐ง๐๐ฉ๐: ๐ฆ๐๐ฃ๐๐ฅ๐๐ง๐ ๐๐๐๐ง๐ฆ ๐๐ฅ๐ข๐ ๐๐ ๐๐๐๐๐จ๐๐๐ก๐๐ง๐๐ข๐ก๐ฆ
Important Note: You'll need to use the prompt below to get the complete result.
๐ฏ ๐ช๐๐๐ง ๐ง๐๐๐ฆ ๐ฃ๐ฅ๐ข๐ ๐ฃ๐ง ๐๐ข๐๐ฆ
AI-generated answers, social media posts, presentations, and online articles can contain convincing but incorrect information. This prompt turns an AI assistant into a fact-checking analyst that examines individual claims, identifies unsupported statements, and highlights what needs further verification before you publish or share it.
๐ ๐ง๐๐ ๐ฃ๐ฅ๐ข๐ ๐ฃ๐ง
Act as a rigorous fact-checking analyst. Examine the content I provide and identify which statements are supported, questionable, misleading, or impossible to verify from the available information.
MY INPUTS:
- Content to check: [Paste an article, AI response, social post, or document]
- Subject area: [Technology / Science / Business / Health / Other]
- Intended use: [Social media / Newsletter / Presentation / Research / Personal use]
- Available supporting material: [Paste documents or evidence, if available]
- Verification depth: [Quick review / Detailed review]
YOUR TASK:
1. Break the content into individual factual claims.
2. Classify each claim as:
- Supported by supplied evidence
- Contradicted by supplied evidence
- Unverified
- Opinion or interpretation
3. Explain the reasoning behind each classification.
4. Identify suspicious numbers, dates, quotations, names, and missing context.
5. Check whether conclusions are stronger than the evidence supports.
6. Rewrite questionable statements into accurate, appropriately qualified language.
7. Create a final list of claims that must be independently verified before publication.
8. Produce a corrected version of the original content while preserving its intended message.
RULES:
- Never treat confident wording as proof.
- Never invent sources, citations, quotations, or verification results.
- Do not label a claim as confirmed without sufficient evidence.
- Distinguish outdated information from false information.
- If browsing or reliable evidence is unavailable, clearly state the limitation.
- Preserve uncertainty instead of guessing.
OUTPUT:
Claim-by-Claim Audit → Risky Statements → Corrections → Unverified Claims → Publication-Ready Version.
Be precise, impartial, and transparent about uncertainty.๐งช ๐ง๐ฅ๐ฌ ๐๐ง ๐ช๐๐ง๐
Content: "A new AI tool launched in November 2026 that makes every existing video editor unnecessary."
Subject: Artificial intelligence.
Intended use: AI newsletter.
Supporting material: Product announcement or official documentation, if available.
Verification depth: Detailed review.
๐ฏ ๐ช๐๐๐ง ๐ฌ๐ข๐จ'๐๐ ๐๐๐ง
A claim-by-claim fact-checking report, questionable statements, safer rewritten wording, and a corrected draft. It helps you avoid publishing confident-sounding misinformation, especially in technology newsletters and social media posts.
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๐งฐ ๐๐ ๐ง๐ข๐ข๐๐ฆ
๐ง ๐๐ฒ๐ฎ๐ฐ๐ผ๐ป
An open-source, self-improving memory platform for AI coding agents. It captures sessions across Claude Code, Cursor, Codex, and OpenCode, turning debugging discoveries, corrections, and successful workflows into reusable knowledge for future agents.
๐ป ClipBear
A smart macOS clipboard manager for developers that recognizes 13 content types, formats JSON, decodes JWTs, converts colours, and extracts text from screenshots. It also provides on-device AI grammar correction while keeping clipboard history private.
✍️ ๐๐ ๐ฃ๐ฟ๐ผ๐บ๐ฝ๐ ๐๐ฟ๐ฐ๐ต๐ถ๐๐ฒ๐ฐ๐
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๐ ๐ฑ๐ถ๐ณ๐ณ-๐๐ผ๐๐ฟ
An open-source AI developer tool that transforms Git code changes into interactive, senior-engineer-style learning experiences. It uses your existing AI coding CLI to explain code changes, identify potential risks, and teach developers how experienced engineers review software.
๐ ๐๐๐ฟ๐ถ๐ผ๐๐๐๐
A privacy-focused AI assistant that runs directly on your phone or computer without requiring an account or cloud chat server. It supports offline conversations, voice interaction, local document search, reminders, and an on-device AI model.
๐งฉ ๐ช๐ถ๐ฑ๐ด๐ฒ๐๐ฒ๐ฒ๐ฟ
An AI-powered website widget builder that creates functional booking forms, quizzes, calculators, FAQs, and countdowns from plain-language instructions. Customize the results and embed them into Shopify, WordPress, or any website.
๐ง ๐ซ๐บ๐ถ๐ป๐ฑ ๐ฎ๐ฌ๐ฎ๐ณ
A major new AI-powered evolution of mind mapping that introduces Xmind Agent. Work with your documents and mind maps to research topics, explore ideas, and develop strategies through AI conversations, with MCP connectivity for ChatGPT and Claude workflows.
๐ฑ ๐ฆ๐ฒ๐น๐ณ-๐๐ฟ๐ผ๐๐ถ๐ป๐ด ๐ช๐ฒ๐ฏ๐๐ถ๐๐ฒ๐ ๐ฏ๐ ๐๐ฟ๐ฒ๐๐ฎ.๐๐ต
An AI website-growth platform that builds websites and continuously improves their search visibility. It researches customer queries, generates SEO and AEO content, publishes new pages, and helps businesses become discoverable through Google and AI search assistants.
๐จ๐ป ๐๐ฟ๐ถ๐ฑ๐ฎ๐ ๐ช๐ผ๐ฟ๐ธ
An open-source AI coding-agent collaboration platform that allows Claude Code, Codex, Cursor, and other coding agents to work together. Agents divide development tasks, share progress, communicate with each other, and hand unfinished work to another agent when usage limits are reached.
๐ก Ampian AI
An AI-powered property due-diligence platform for U.S. homebuyers. It analyzes estimated ownership costs, property taxes, insurance, utilities, zoning regulations, climate risks, and neighbourhood information to help buyers make better-informed decisions.
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