AI News on July 6, 2026

Meituan LongCat Launches General 365: A New Benchmark Highlighting AI Reasoning Gaps
Research Breakthrough

Meituan LongCat Launches General 365: A New Benchmark Highlighting AI Reasoning Gaps

Meituan's LongCat team has officially released General 365, a new evaluation benchmark focused on the reasoning capabilities of Large Language Models (LLMs). The benchmark's debut included a comprehensive test of 26 mainstream models, revealing that complex reasoning remains a significant hurdle for current AI technology. According to the results, Gemini 3 Pro—currently considered one of the most powerful models—achieved an accuracy rate of only 62.8%. Furthermore, the vast majority of the models tested were unable to reach a 60% accuracy level, which is typically considered a passing grade. This release sets a more rigorous standard for the industry, emphasizing the need for continued advancement in logical processing and providing a transparent look at the current limitations of top-tier AI systems.

美团技术团队
Meituan Launches LongCat-2.0: A 1.6 Trillion Parameter Model Trained on 50,000 Domestic GPUs
Product Launch

Meituan Launches LongCat-2.0: A 1.6 Trillion Parameter Model Trained on 50,000 Domestic GPUs

Meituan's technical team has officially unveiled LongCat-2.0, a groundbreaking large language model featuring 1.6 trillion parameters. This release marks a significant milestone as the industry's first trillion-parameter model to complete its entire training and inference lifecycle on a domestic computing cluster consisting of 50,000 cards. LongCat-2.0 utilizes a Mixture-of-Experts (MoE) style architecture with a dynamic activation range of 33B to 56B parameters and native support for a 1-million-token ultra-long context window. Specifically engineered for 'Agentic Coding,' the model is designed to enhance efficiency and stability in complex programming tasks, including code comprehension, generation, and execution. The successful deployment on localized hardware highlights a major advancement in large-scale AI infrastructure and model development capabilities.

美团技术团队
Meituan Technical Team Showcases Machine Learning Research Excellence at ICML 2026 International Conference
Industry News

Meituan Technical Team Showcases Machine Learning Research Excellence at ICML 2026 International Conference

The Meituan Technical Team has announced its participation and the selection of its academic papers for ICML 2026, one of the world's most influential international conferences in the field of machine learning. ICML serves as a premier platform for exploring the future challenges and core issues facing the development of machine learning. By evaluating and showcasing research that offers significant theoretical value and practical impact, the conference aims to drive the field forward and lead future research directions. Meituan's involvement highlights its commitment to advancing cutting-edge technology and contributing to the global machine learning community. This selection underscores the technical team's focus on addressing complex problems through innovative research and academic excellence, bridging the gap between theoretical advancements and real-world applications.

美团技术团队
LongCat Open Sources VitaBench 2.0: A New Benchmark for Long-term Dynamic User Modeling in AI Agents
Research Breakthrough

LongCat Open Sources VitaBench 2.0: A New Benchmark for Long-term Dynamic User Modeling in AI Agents

The Meituan Technical Team has announced the open-sourcing of VitaBench 2.0 by LongCat, marking a significant advancement in the evaluation of artificial intelligence. As the first benchmark specifically designed for long-term dynamic user modeling in real-life scenarios, VitaBench 2.0 addresses the critical need for assessing how Large Language Models (LLMs) perform during extended interactions. The framework provides a systematic approach to measuring two vital components of modern AI: personalization and proactivity. By simulating authentic and evolving user behaviors over time, VitaBench 2.0 allows developers to gauge an agent's ability to adapt to individual needs and take initiative in complex environments. This release establishes a new standard for the industry, moving beyond static testing toward more realistic and human-centric AI performance metrics.

美团技术团队
Meituan Technical Team Unveils Cutting-Edge Research in Agentic System X at Top Global AI Conferences
Industry News

Meituan Technical Team Unveils Cutting-Edge Research in Agentic System X at Top Global AI Conferences

Meituan's Search and Recommendation ASX (Agentic System X) team has announced a significant milestone in their research efforts, focusing on Large Language Model (LLM) based Agent technology. By deep-diving into core areas such as LLM post-training, Agentic Reinforcement Learning, and multi-modal understanding, the team has secured dozens of publications in top-tier AI conferences including ICLR, NeurIPS, CVPR, and AAAI. This update highlights six specific papers that represent the team's latest breakthroughs. The research aims to enhance the capabilities of autonomous agents within search and recommendation frameworks, marking a strategic shift toward more sophisticated, multi-modal, and self-learning AI systems within Meituan's technical ecosystem. The ASX team continues to bridge the gap between theoretical AI research and practical application in large-scale industrial scenarios.

美团技术团队
Meituan Open Sources AIGC Poster Generation System Featuring a Comprehensive Generation-Editing-Evaluation Technical Closed Loop
Open Source

Meituan Open Sources AIGC Poster Generation System Featuring a Comprehensive Generation-Editing-Evaluation Technical Closed Loop

The Meituan Intelligent Creation Team has officially announced the development and open-sourcing of a complete technical system for AIGC (Artificial Intelligence Generated Content) poster generation. This innovative framework is built around a "Generation-Editing-Evaluation" technical closed loop, designed to streamline the entire lifecycle of visual content creation. The system has already seen successful implementation in high-demand scenarios, including Meituan Waimai (food delivery) and various Brand IP projects. By open-sourcing the entire technical stack, Meituan aims to provide the industry with a proven model for integrating generative AI into practical marketing and branding workflows, ensuring both creative efficiency and quality control through its structured evaluation mechanisms.

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Meituan LongCat Team Open-Sources WBench: The First Systematic Multi-Round Benchmark for Interactive Video World Models
Research Breakthrough

Meituan LongCat Team Open-Sources WBench: The First Systematic Multi-Round Benchmark for Interactive Video World Models

The Meituan LongCat team has officially introduced and open-sourced WBench, a pioneering evaluation benchmark designed specifically for interactive video world models. Described as a "CT scanner" for artificial intelligence, WBench provides a systematic framework for multi-round assessments, aiming to identify the specific limitations of current models as they transition from passive observation to active interaction. This development marks a significant milestone in understanding the boundaries of world models, ranging from lunar simulations to complex urban environments. By open-sourcing this tool, the team provides the industry with a precise diagnostic method to evaluate and improve the interactive capabilities and logical consistency of next-generation AI systems.

美团技术团队
Meituan Fulfillment AI Team Showcases LLM Agent Innovations and Research Breakthroughs at ACL 2026
Industry News

Meituan Fulfillment AI Team Showcases LLM Agent Innovations and Research Breakthroughs at ACL 2026

Meituan's Fulfillment AI Algorithm Team has presented its latest advancements in Large Language Model (LLM) Agent technology at the ACL 2026 conference. The team is focused on developing a self-evolving Agent operating system designed to empower Meituan's fulfillment business through cutting-edge AI. Their research spans several critical domains, including Continual Pre-training (CPT), Post-training, Agentic Reinforcement Learning (RL), and Multimodal Understanding. With a track record of dozens of high-quality publications in top-tier international conferences like ACL and EMNLP, the team continues to bridge the gap between theoretical AI research and practical industrial application. This session highlights their commitment to building an autonomous, intelligent ecosystem that optimizes complex fulfillment workflows and enhances operational efficiency.

美团技术团队
Meituan Open Sources LongCat-Video-Avatar 1.5: A Commercial-Grade Leap for Digital Human Video Models
Open Source

Meituan Open Sources LongCat-Video-Avatar 1.5: A Commercial-Grade Leap for Digital Human Video Models

Meituan's technology team has officially released LongCat-Video-Avatar 1.5, an open-source digital human video model designed to bridge the gap between state-of-the-art (SOTA) research and commercial-grade applications. This version introduces significant advancements in five core areas: lip-sync accuracy, physical plausibility, long-form video stability, multi-person interaction, and inference efficiency. Unlike previous iterations that focused on controlled environments, version 1.5 is engineered for complex commercial scenarios, ensuring stable and natural high-quality outputs. By transitioning from what the developers describe as a "rehearsal room" performance to a "real stage" capability, LongCat-Video-Avatar 1.5 aims to support diverse, large-scale digital human deployments with a focus on realism and operational efficiency.

美团技术团队
Meetily: The Privacy-First Open-Source AI Meeting Assistant Built with Rust and Local Processing
Open Source

Meetily: The Privacy-First Open-Source AI Meeting Assistant Built with Rust and Local Processing

Meetily, also known as Meetly Ai, has emerged as a high-performance, open-source AI meeting assistant designed for maximum privacy. Developed by Zackriya-Solutions and built using the Rust programming language, the tool provides real-time transcription powered by Parakeet and Whisper, achieving speeds up to four times faster than standard implementations. Key features include speaker identification and automated summarization via Ollama. Distinctively, Meetily operates with 100% local processing, removing the need for cloud-based data handling and ensuring that sensitive meeting information remains on the user's own infrastructure. As a self-hosted solution, it positions itself as a leading choice for secure, AI-driven meeting documentation.

GitHub Trending
Alibaba Releases Page Agent: A JavaScript GUI Agent for Natural Language Web Interface Control
Open Source

Alibaba Releases Page Agent: A JavaScript GUI Agent for Natural Language Web Interface Control

Alibaba has introduced Page Agent, a JavaScript-based in-page GUI agent designed to enable the control of web interfaces using natural language. This open-source project, which has recently gained traction on GitHub, represents a significant step in browser-based automation. By allowing users to interact with web elements through conversational commands, Page Agent aims to simplify complex web navigation and task execution. The tool operates directly within the page environment, acting as an intermediary that translates human intent into actionable GUI commands. This development highlights the ongoing trend of integrating sophisticated AI agents into the web ecosystem to enhance user accessibility and streamline digital workflows.

GitHub Trending
Harvard Edge Lab Unveils Machine Learning Systems: A Comprehensive Guide to AI Systems Engineering
Research Breakthrough

Harvard Edge Lab Unveils Machine Learning Systems: A Comprehensive Guide to AI Systems Engineering

Harvard Edge Computing Lab has released a new foundational resource titled "Machine Learning Systems: Principles and Practice of AI Systems Engineering" (cs249r_book). This project marks a significant contribution to the field of AI infrastructure, moving beyond model development to focus on the holistic engineering of artificial intelligence systems. The resource, hosted on GitHub, provides a structured exploration of the principles and practical applications required to build robust AI systems. By emphasizing "Systems Engineering," the authors highlight the necessity of architectural rigor, scalability, and efficiency in modern AI deployments. This release is poised to serve as a critical reference for engineers and researchers looking to bridge the gap between theoretical machine learning and real-world system implementation, particularly within the context of edge computing and high-performance environments.

GitHub Trending
Chrome DevTools Launches MCP Server to Enable Advanced Agentic Workflows for AI Agents
Open Source

Chrome DevTools Launches MCP Server to Enable Advanced Agentic Workflows for AI Agents

Chrome DevTools has introduced a new project, chrome-devtools-mcp, specifically designed to support agentic workflows in web development. This tool implements the Model Context Protocol (MCP), allowing AI programming agents to interface directly with Chrome's suite of developer tools. By bridging the gap between Large Language Models (LLMs) and browser internals, the project enables agents to inspect, debug, and interact with web applications with higher precision. Available as an npm package, this release marks a significant step by the Chrome DevTools team to make browser environments more accessible to autonomous AI agents, facilitating a more integrated approach to AI-driven coding and automated web troubleshooting.

GitHub Trending
Massive AI System Prompt Leak: Next-Gen Claude 5, GPT 5.5, and Gemini 3.5 Instructions Exposed
Industry News

Massive AI System Prompt Leak: Next-Gen Claude 5, GPT 5.5, and Gemini 3.5 Instructions Exposed

A significant repository titled 'system_prompts_leaks' has been identified on GitHub, containing extracted system prompts for some of the industry's most advanced and unreleased artificial intelligence models. The leak, attributed to user asgeirtj, encompasses a wide range of proprietary instructions from leading AI labs including Anthropic, OpenAI, Google, and xAI. Notable inclusions are the system prompts for Anthropic’s Claude Fable 5 and Opus 4.8, OpenAI’s ChatGPT 5.5 Thinking and GPT 5.5 Instant, and Google’s Gemini 3.5 Flash and Antigravity. The repository also features prompts for specialized tools like Claude Code, Cursor, and GitHub Copilot, offering an unprecedented look into the internal behavioral constraints and operational logic of next-generation large language models.

GitHub Trending
OpenAI Releases Codex Plugin for Claude Code to Streamline Code Reviews and Task Delegation
Product Launch

OpenAI Releases Codex Plugin for Claude Code to Streamline Code Reviews and Task Delegation

OpenAI has introduced a new integration tool, codex-plugin-cc, designed to bring the capabilities of Codex directly into the Claude Code environment. This plugin allows developers to perform automated code reviews and delegate specific programming tasks to Codex without switching platforms. By facilitating a more integrated workflow, the plugin aims to provide a simple and efficient solution for developers who utilize both OpenAI's Codex and Claude Code in their software development lifecycle. The release, highlighted on GitHub Trending, marks a significant step in cross-platform AI tool interoperability, focusing on enhancing developer productivity through specialized task delegation and code analysis features within a unified interface.

GitHub Trending
Caveman: A Claude Code Skill Achieving 65% Token Reduction Through Minimalist Communication
Open Source

Caveman: A Claude Code Skill Achieving 65% Token Reduction Through Minimalist Communication

Caveman is an innovative skill designed for Claude Code, developed by JuliusBrussee and featured on GitHub Trending. The project introduces a unique approach to interacting with AI by adopting a "caveman-like" communication style. By adhering to the philosophy that "fewer words are enough," the tool enables users to reduce token consumption by a significant 65%. This optimization targets the efficiency of Claude Code interactions, focusing on stripping away linguistic complexity to maintain functional intent while drastically lowering the overhead associated with large language model (LLM) processing. The project highlights a growing trend in the AI community toward extreme prompt optimization and cost-effective development workflows.

GitHub Trending
Strix: The Emergence of Open-Source AI-Driven Penetration Testing for Application Security
Open Source

Strix: The Emergence of Open-Source AI-Driven Penetration Testing for Application Security

Strix has launched as a significant open-source project on GitHub, introducing an AI-powered penetration testing tool specifically designed to identify and remediate application vulnerabilities. Developed by the usestrix organization, this tool represents a shift in cybersecurity by combining artificial intelligence with automated security auditing. Strix focuses on the dual mission of finding security flaws and providing the necessary fixes, aiming to streamline the vulnerability management lifecycle. As an open-source initiative, it leverages community collaboration to enhance its detection capabilities and remediation strategies. This development highlights the growing trend of integrating AI into defensive security workflows, offering developers a proactive solution to safeguard their applications against evolving digital threats.

GitHub Trending
Bridgepoint Leads $229 Million Funding Round for French HR Tech Startup Skello
Funding

Bridgepoint Leads $229 Million Funding Round for French HR Tech Startup Skello

French HR technology startup Skello has announced a significant funding milestone, securing 200 million euros (approximately US$229 million) in a round led by the investment firm Bridgepoint. A defining characteristic of this capital injection is the active participation of Skello's own management team, who have committed to increasing their equity stake within the company as part of this transaction. This move underscores a high level of internal confidence in the firm's long-term value proposition and operational strategy. The substantial investment is positioned to influence the competitive landscape of the HR tech sector, particularly within the European market, as Skello prepares for its next phase of growth under the guidance of Bridgepoint and its reinforced leadership team.

Tech in Asia
Foxconn Reports Record-Breaking Q2 Revenue Growth of 39.8% Fueled by Surging Global AI Demand
Industry News

Foxconn Reports Record-Breaking Q2 Revenue Growth of 39.8% Fueled by Surging Global AI Demand

Foxconn, the world's leading contract electronics manufacturer, has announced a significant surge in its financial performance for the second quarter of 2026. Driven by the robust and expanding demand for artificial intelligence infrastructure, the company's Q2 revenue jumped by 39.8% compared to the previous year. The growth was particularly pronounced in June, which saw monthly revenue hit a record-breaking T$821.8 billion. This figure represents a staggering 52.1% year-on-year increase for the month. These results highlight Foxconn's pivotal role in the AI supply chain and reflect the broader industry trend of massive investment in AI-capable hardware and systems, signaling a strong momentum for the company as it capitalizes on the ongoing technological shift toward artificial intelligence.

Tech in Asia
SK Hynix Announces Strategic $29 Billion US Listing Amid Dominance in AI Memory Market
Industry News

SK Hynix Announces Strategic $29 Billion US Listing Amid Dominance in AI Memory Market

SK Hynix, a global leader in the semiconductor sector, has unveiled plans for a significant $29 billion listing in the United States. This move highlights the company's robust financial positioning and its critical role in the artificial intelligence infrastructure supply chain. Currently, SK Hynix commands a dominant 60% market share in the high-bandwidth memory (HBM) segment, a specialized technology essential for the operation of AI servers. The planned listing is expected to further solidify its market presence and capitalize on the growing demand for high-performance memory solutions. This analysis examines the implications of the $29 billion valuation and the company's current leadership in the AI-driven hardware landscape.

Tech in Asia
Wealthy Americans Turn to AI-Driven Education as Alternative to Traditional Schools Despite Public Skepticism
Industry News

Wealthy Americans Turn to AI-Driven Education as Alternative to Traditional Schools Despite Public Skepticism

While a significant portion of the American public remains skeptical of artificial intelligence—citing issues ranging from incorrect information to unappealing creative outputs—a specific demographic of the nation's wealthy is embracing the technology for educational purposes. High-net-worth families are increasingly opting for AI-based learning platforms like Forge Prep and Alpha as substitutes for traditional schooling environments. This shift highlights a growing divide in AI adoption, where the elite are leveraging automated systems to personalize and drive their children's education, even as broader society questions the reliability and safety of AI in everyday applications. The trend suggests a pivot toward AI-centric pedagogy among those with the resources to bypass conventional academic institutions in favor of emerging technological solutions.

The Verge
Amazon Mechanical Turk Halts New Customer Onboarding: Analyzing the Potential End of a Crowdsourcing Era
Industry News

Amazon Mechanical Turk Halts New Customer Onboarding: Analyzing the Potential End of a Crowdsourcing Era

Amazon has officially ceased accepting new customers for its long-standing crowdsourcing marketplace, Mechanical Turk (MTurk). This development, reported by TechCrunch AI, marks a pivotal moment for the platform that has served as a primary hub for human-intelligence tasks (HITs) for years. The decision to stop new registrations is widely interpreted as a signal that the service may be entering its final phase of operation. As the platform closes its doors to new business, the industry is left to evaluate the implications of losing one of the most prominent pioneers in the micro-tasking and data labeling space. This analysis explores the significance of Amazon's move and what the potential sunsetting of Mechanical Turk means for the broader AI and human-in-the-loop ecosystem.

TechCrunch AI