Models 🇨🇳

Six Little Dragons of World Models Debate at WAIC: Industry Dividend Lies in Lack of Consensus

At the WAIC forum, a discussion was held with the participation of six companies working on world models. Technical leaders diverged on key issues: whether world models should aim for physical accuracy or plausibility, which capabilities are more important, and what will become the first consensus in the industry. The transition from demonstrations to real-world deployment was also discussed.

QbitAI 量子位24.07 · 12:02

AMD Unveils X100 Chips on Zen 5 for Robots with 24/7 Operation and 10-Year Lifespan

AMD announced the X100 series of embedded processors based on the Zen 5 architecture with RDNA 3.5 graphics and an XDNA 2 neural processing unit for robotics. The chips are designed for a 10-year lifespan, have a TDP range of 45 to 120 W, and an operating temperature range of -40 to 105 °C. The flagship X199 model with 16 cores and 40 compute units demonstrated superiority over the Intel Core Ultra in tests, though the comparison was qualified.

Intel CorporationIntel Corporation NVIDIANVIDIA
3DNews24.07 · 12:02
Research 🇨🇳

Chinese Company Jinghe Nengyuan Unveils World's First Bionic Intelligent Battery System

At the 2026 Automotive Thermal Systems Conference, company president and Tsinghua University Advanced Battery Research Institute director Li Yantao announced the world's first bionic intelligent battery system. According to project data, the system reduces the development cycle by over 60%, lowers research costs by more than 50%, improves battery temperature uniformity by 31%, and reduces peak cell temperature by 8 degrees Celsius.

36Kr24.07 · 12:02
Agents 🇨🇳

Android Studio Quail 2 Stable: Support for Multiple AI Agents and Improved Debugging

The stable version of Android Studio Quail 2 has been released, enhancing the capabilities of the Gemini AI agent: now multiple dialogs can be run in parallel. The IDE integrates the LeakCanary tool for detecting memory leaks, and crash analysis has been improved. Additionally, the Studio Labs feature for testing experimental AI functions has been stabilized.

Google/DeepMindGoogle/DeepMind
InfoQ 中国24.07 · 12:02

From 'Model Race' to 'Settling Accounts': What Competition in the AI Industry Now Looks Like — Answers from WAIC 2026

At WAIC 2026, experts noted a paradigm shift: the AI industry is moving from demonstrating model capabilities to strict financial accounting ('settling accounts'). Three key cost areas are discussed: infrastructure (total investments exceeded $700 billion with revenue of only $50 billion), inference (cost per token dropped 8–10 times, but total costs rose), and capital (investors demand real economics). Models remain important, but the focus shifts to product, agent capabilities, infrastructure, and trusted data.

AnthropicAnthropic Moonshot AIMoonshot AI
InfoQ 中国24.07 · 12:02
Agents 🇺🇸

Smartsheet builds remote MCP server on AWS for integrating AI agents with enterprise data

Work management platform Smartsheet has built a remote MCP server on AWS, providing AI agents with structured access to data and functions. The architecture includes AWS Fargate, Amazon Bedrock, and Neptune, supporting both internal AI assistants (Smart Assist) and external clients (Amazon Quick, Claude Desktop). Optimizations have saved over 3 billion tokens, and an access management system is implemented for enterprise customers.

SmartsheetSmartsheet Amazon Web ServicesAmazon Web Services AnthropicAnthropic
AWS ML blog24.07 · 11:04
Research 🇷🇺

Reasoning Models Need a New Measurement: Public Leaderboard MERA Reason Unveiled

The MERA Reason leaderboard has been launched to evaluate reasoning models in Russian. It includes four task sets: Luzitania (olympiad-level mathematics), TMath (a wide range of problems), MMReD (dense context reasoning), and an upcoming component. The goal is to objectively measure a model's ability to build chains of reasoning, not just reproduce knowledge.

Т-БанкТ-Банк Alibaba/QwenAlibaba/Qwen
Habr — хаб ИИ24.07 · 11:01
AI Safety 🇷🇺

Prompt Injection Cannot Be Cured by Filters: How to Isolate Untrusted Text Using Architectural Patterns

Prompt injection is a structural defect in large language models where untrusted text is executed as an instruction. Filters and system prompts are ineffective: even the best defenses are breached in 90% of cases under adaptive attacks. Working approaches—Dual-LLM, CaMeL, and the Two Meta rule—build isolation rather than trying to distinguish good from evil.

OpenAIOpenAI AnthropicAnthropic Google DeepMindGoogle DeepMind MicrosoftMicrosoft
Habr — хаб ИИ24.07 · 11:01
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