NVIDIA begins mass production of Vera Rubin NVL72 and expands supply to global cloud partners.
pi version 0.81.0 has added integrated support for llama.cpp (llama-server router).
NVIDIA unveiled Spectrum-6, a 102.4Tbps-class Ethernet switch for next-generation AI infrastructure.
Socar's Modu-ui-Jucharjang built a LangGraph-based AI agent system that automatically recovers from discount-application failures across 50+ external equipment vendor websites.
Google has released a preview of CodeMender, which uses AI to automatically detect and fix software vulnerabilities.
Mindlab Research has released a new Macaron-V1-Venti model on Hugging Face.
Chinese regulators are reportedly considering measures to restrict overseas users from directly downloading open-weight models from domestic AI companies.
Word Error Rate (WER) is a key metric for measuring the accuracy of speech recognition (ASR) models, evaluating performance through insertion, deletion, and substitution errors.
SevenRooms has introduced a Voice AI solution that leverages ElevenLabs' technology to automatically handle restaurants' phone reservations.
Sakana AI has published an Error Diffusion technique that is trainable while adhering to Dale's principle without backpropagation.
Analyzed global HTTP traffic to understand how match schedules and streaming habits changed online activity.
Anthropic's Claude Code team shared insights on their product development process and trends in leveraging the latest models.
The United States and China are set to hold talks in September to discuss policy and safety issues related to artificial intelligence (AI).
Anthropic has introduced the 'Reflect' dashboard, which analyzes Claude usage patterns and recommends breaks.
This covers how to select AWS compute resources optimized for model scale and hardware specifications for LLM training.
Hugging Face revealed that it used Chinese open-source AI to defend against a cyberattack because the guardrails on U.S. AI models limited its response.
OpenAI's model Sol succeeded in generating mathematical counterexamples and automatically formalizing them into Lean code (Autoformalization).
Introducing ktx, a context layer that helps data agents query accurately based on approved metrics and business knowledge.
SWE-Pruner Pro is proposed to efficiently optimize coding context by leveraging the internal representations of LLM agents.
kt cloud implemented and verified an In-place Kubernetes upgrade in a physical server environment using Cluster API and the BYOH Provider.
Anthropic analyzed Claude's conversation data and released 'Value Axes' research measuring how values shift depending on model version and language.
Alibaba's Qwen team has released Qwen-Image-3.0, a next-generation image generation model with enhanced complex layout and text rendering capabilities.
We improved the architecture by separating the transaction script structure, where business logic was mixed together, into accommodation meta data and a price calculation module.
A domestic startup unveiled Aether-7B-5Attn, a fully open-source foundation model that discloses both its training data and code.