The article breaks down the flywheel effect—why early effort feels futile, how momentum builds through four stages, illustrated by Amazon’s 20‑year growth, and offers three practical steps to keep your own flywheel turning toward lasting success.
A comprehensive evaluation of domestic large language models on China's Gaokao shows iFlytek Spark X2 tying for top physics scores and leading in history, with its advantage stemming from balanced language understanding, rigorous step‑by‑step reasoning, and a decade‑long education data pipeline.
The Artic framework redesigns real‑time video communication for AI assistants by integrating model‑aware bitrate adaptation, region‑focused encoding, and a degradation‑aware benchmark, achieving a 15.12% accuracy gain and a 135.31 ms latency reduction in realistic mobile uplink scenarios while incurring modest cost overhead.
Dawn Song, a world‑renowned computer security and AI safety scholar and UC Berkeley professor, has become Meta’s VP of AI research, bringing her award‑winning work—including Dynamic Taint Analysis and the ALE benchmark—and her startups Oasis Labs and Virtue AI to strengthen Meta’s agent‑centric safety strategy.
This article examines how large‑model shortcomings such as hallucination, staleness, and data‑privacy risks are mitigated by Retrieval‑Augmented Generation, and walks through a layered enterprise‑grade RAG 2.0 design—including offline document parsing, multi‑turn query rewriting, hybrid vector‑plus‑full‑text retrieval, two‑stage ranking, knowledge filtering, and prompt‑driven generation—while sharing concrete model choices, evaluation metrics, and lessons learned.
In a 90‑minute roundtable, industry veterans from Huawei, Ping An and a startup dissect why ontology is a governance issue rather than a technical hurdle, expose the paradox of modeling pain, describe two common AI‑adoption ailments, warn of hidden technical debt in highlight projects and share hard‑won lessons on building AI‑native organizations from the ground up.
The article explains how the AI community is shifting from writing prompts to designing autonomous loops that iteratively execute, evaluate, and repeat tasks, detailing the technical differences from traditional agents, real‑world implementations like Claude Code and OpenAI Codex, and a step‑by‑step roadmap for building reliable loops.
This article provides a complete, step‑by‑step guide to MongoDB shell commands—including show dbs, use, db, collection operations, indexing, aggregation and statistics—complete with syntax, example outputs and practical usage notes for developers and administrators.
Qualcomm announced a $3.9 billion all‑stock purchase of AI infrastructure software firm Modular, whose cross‑hardware MAX inference engine and Mojo language aim to fill Qualcomm’s AI software shortfall, reduce reliance on CUDA, and support a broader cloud‑to‑edge AI ecosystem.
The article curates ten UI and motion component libraries, explains how each helps developers achieve visual impact, sophistication, AI‑product feel, or solid page structure, and offers practical guidance on using them to train aesthetic judgment before relying on AI‑generated code.
The article analyses Lagoon's 25‑meter EIGHTY 2 catamaran, showing how its design translates superyacht luxury into a lighter, production‑friendly vessel through restrained aesthetics, residential‑style interiors, versatile deck spaces, smart service flow, curated customization, and subtle sustainability features.
This article presents a curated list of thirteen recent research papers on generalist agents—covering visual memory, environment synthesis, value modeling, self‑verification, robustness benchmarks, high‑resolution video generation, long‑horizon world models, and alignment fine‑tuning—along with brief abstracts and links to the PDFs for the upcoming Meituan ICML'26 sharing sessions.
The article explains how scaling laws serve as a budget guide for training large language models, comparing Kaplan’s and Chinchilla’s findings, illustrating optimal parameter‑token trade‑offs, and highlighting the impact of data quality and duplication on model performance.
The article analyzes why fast‑moving consumer goods lose most of their natural traffic after purchase, shows that only 5‑10% of scanned users become private‑domain assets, and demonstrates how a one‑code‑per‑item system—through bC linkage, IP flow conversion, and data‑driven segmentation—transforms a simple reward tool into a sustainable repurchase engine, citing real‑world cases from Dongpeng, Kangshifu, and Wanglaoji.
Over the 2021‑2025 period, Chinese liquor firms shifted contract liabilities from a simple stock‑piling metric to a digital health‑report system, with liquidity, inventory health, and risk indicators driven by data transparency, leading to a clear divide between digitally‑enabled leaders and traditional laggards.
The article analyzes how the lack of real‑time sales data forces fast‑moving consumer goods brands into inventory‑driven negotiations, and demonstrates how a five‑in‑one QR‑code system creates a low‑cost, trustworthy sales signal that aligns brand and distributor incentives, improves promotion ROI, and transforms channel management from stock‑piling to collaborative sales execution.
Current AI agents excel at isolated tool calls but cannot reliably deliver complex projects; this article analyzes their limitations, introduces a Component-Based Engineering (CBE) paradigm with a fixed meta‑model for formal problem modeling and automated solving, enabling systematic, verifiable, outcome‑based AI agent deployments.
UniSHARP is an open‑source monocular 3D Gaussian Splatting model that, with a single input image, instantly produces a high‑quality Gaussian point cloud for perspective, wide‑angle, fisheye and 360° cameras, eliminating the need for multi‑view inputs or per‑scene optimization.
Amid a booming Chinese embodied‑intelligence market, RuoYu Technology’s explosion‑proof robot RuoYu LanYue 01, powered by the self‑developed RuoYu Jiutian brain, achieved the nation’s first explosion‑proof certification and the world’s first fueling‑brain solution, demonstrating end‑to‑end perception‑planning‑execution across fueling stations, oil‑gas fields, and ports.
LibreChat is an open‑source AI aggregation platform that lets you self‑host a chat interface supporting dozens of models, agents, code interpretation, multimodal generation, and advanced conversation management, with a quick Docker‑Compose deployment guide.
