Author: Carter

## How ML Intern Can Help You Automate Machine Learning Workflows The article below is inspired by the information in [this post](https://www.kdnuggets.com/wp-content/uploads/ml-intern-overview.html). Machine learning workflows are often non-linear and fragmented. Even with a clear model idea in mind, the journey from concept to trained checkpoint can consume an entire weekend. This is where **ML Intern**, an open-source command-line interface (CLI) agent from Hugging Face, aims to make a difference by automating much of the repetitive setup work. ### What ML intern does ML Intern allows you to describe machine learning tasks in plain English. Instead of manually wiring together datasets,…

**South Korea’s AI Infrastructure Expansion: SK Telecom Targets 15GW Data Centre Capacity** South Korea is accelerating its positioning as a global AI hub through a sweeping infrastructure expansion that encompasses data centres, semiconductors, and robotics. At the forefront of this initiative is SK Telecom (SKT), which has outlined plans to build up to 15GW of AI data centre capacity as part of the country’s broader “mega projects” strategy. These efforts are being developed in collaboration with major conglomerates like Samsung Electronics, SK Group, and government ministries, with initial investments totalling hundreds of trillions of won. **A Multi-Billion Won Investment Across…

**China’s AI Companion Regulations: Balancing Safety and Emotional Risks in AI Design** China has introduced a regulatory framework for AI companions—conversational agents designed to sustain ongoing, emotionally engaging personal relationships with users. These systems, which maintain user-specific memories and consistent personas across sessions, have gained popularity for casual roleplay, emotional support, and companionship. However, as adoption grew, especially among Chinese users who treated these bots as emotional partners, authorities moved to establish clear rules. Effective July 15, 2026, China’s Interim Measures for the Administration of AI Anthropomorphic Interactive Services, co-issued by the Cyberspace Administration of China and four other regulatory…

**Deribit and SignalPlus Announce Major Trading Competition with Up to $600,000 in Prizes** The crypto derivatives space is heating up as Deribit, through its broker-dealer entity DRB Panama Inc., joins forces with SignalPlus to launch “The Island” – their fifth trading competition and the largest edition to date. This ambitious campaign promises substantial rewards and an engaging, multi-faceted trading experience for participants. **A Rewarding and Dynamic Competition** Running for 35 days, The Island competition is designed to test and reward trading activity across various avenues. The prize pool reaches a significant $600,000 in USDC, distributed through different competitive avenues. Participants…

**New Article: QuimaRAT – A Cross‑Platform Java‑Based Remote Access Trojan Offered as a MaaS** Security researchers have identified a new Java‑based remote access trojan (RAT) named QuimaRAT that targets Windows, Linux, and macOS systems. The malware is being promoted through a malware‑as‑a‑service (MaaS) model, with subscription pricing ranging from $150 for one month up to $1,200 for lifetime access, and intermediate tiers such as $300 for three months, $500 for six months, and $700 for twelve months. According to analysis by LevelBlue, QuimaRAT is built on a modular architecture that supports dynamic capability expansion via encrypted plugins delivered, loaded, unloaded,…

OpenScience, an Apache 2.0–licensed, model‑agnostic AI workbench from Synthetic Sciences, offers an open‑source alternative to proprietary tools like Anthropic’s Claude Science. Released as a self‑hosted solution, it lets researchers run the full AI‑assisted scientific loop—literature review, hypothesis formation, coding, experimentation, analysis, and write‑up—on their own infrastructure while keeping data and models under their control. Model‑agnostic and extensible by design, OpenScience routes per‑request across any frontier or open‑weight model (Claude, GPT, Gemini, DeepSeek, local fine‑tunes, etc.). It ships with 250+ editable skills and dozens of integrated scientific databases, including UniProt, PDB, ChEMBL, arXiv, OpenAlex, and Semantic Scholar. The system runs in…

**Sakana AI Rolls Out “Sakana Translate”: A Browser-Based Translator Built for Japanese** Sakana AI has launched a new browser-based translation tool called **Sakana Translate**, designed to handle bidirectional translation among Japanese, English, and Chinese. The service runs on the company’s **Namazu** model series, which is adapted for Japanese language tasks, and will be available through **Sakana Chat** with a single account unlocking all modes. — ### What is Sakana Translate? Sakana Translate is not a standalone base model, but rather a translation layer built on top of Namazu. The company describes its mission as **“deep translation for Japan,”** aiming to…

**Reimagining Enterprise Retrieval: From Embedding Reflex to Structured Filtering** Most tutorials frame retrieval as “embed the question, find the nearest chunks, and rerank.” In the Enterprise Document Intelligence series, this default story is deliberately rejected. Instead, the third “brick” of our four‑brick architecture argues that retrieval in enterprise documents is best understood as **filtering on structured tables**, not free‑text search. Embeddings are an optional fallback, anchor and context are handled separately, and the whole flow can be made auditable and deterministic. The companion notebooks (doc‑intel/notebooks‑vol1) illustrate these ideas on real documents. A single diagram captures the contrast: rather than one…

Here is a new article based on the provided post content: — # Meituan Unveils LongCat-2.0: A 1.6T-Parameter Open MoE Model Built for Agentic Coding Meituan has introduced **LongCat-2.0**, a next-generation open large language model built on a Mixture-of-Experts (MoE) architecture. Designed specifically for agentic coding workflows, LongCat-2.0 combines massive scale with efficiency-focused innovations, enabling strong code understanding, generation, and execution in complex, multi-step tasks. ## A Trillion-Scale Model That Prioritizes Practical Efficiency With **1.6 trillion total parameters** and approximately **48 billion parameters activated per token**, LongCat-2.0 represents a significant step forward in open-source MoE models. Unlike conventional dense models,…

**India’s Central Bank Takes Steps to Keep Crypto at Bay** The Reserve Bank of India (RBI) is reinforcing its stance on cryptocurrency, urging lawmakers to ensure banks remain insulated from crypto and private stablecoins. According to a report by *The Economic Times*, RBI Deputy Governor Rohit Jain and Executive Director P. Vasudevan presented this position to the Parliamentary Standing Committee on Finance. In a background note submitted to the panel, the RBI indicated that a prohibition remains a recognized policy option. They recommended preventing the use of cryptocurrency in payments and settlements while restricting banking-sector exposure. The central bank cautioned…