NVIDIA Turns to Chinese Base-Station Makers to Push AI Computing to the Network Edge
NextFin News —NVIDIA has spent the past year expanding what a mobile base station can do. In October 2025 the company invested one billion dollars for a stake of about 2.9 percent in Nokia and agreed to collaborate on radio equipment that runs artificial intelligence alongside ordinary mobile traffic. Nokia plans to offer the resulting systems commercially from 2027, with early tests scheduled for later this year. Work already under way with operators such as T-Mobile has shown base stations that keep phones connected while also performing AI calculations on the same hardware. The practical reason is straightforward. Large AI models are still trained mainly inside centralized data centers. Once those models move into daily use—on phones, vehicles or factory equipment—sending every request
Cross-Border E-Commerce Turns from Easy Arbitrage into a Capital-Intensive Contest
NextFin News — For several years after 2015, selling goods from China to overseas consumers through online marketplaces required little more than a computer, a supplier contact and the willingness to list products. Platforms were still expanding, competition was light, and free or low-cost traffic could carry even basic listings into profitable volume. That window produced visible success stories and a widespread belief that the business remained open to almost anyone. By 2026 the conditions that supported those early results have largely disappeared. Low-value parcel exports from China have declined for consecutive months. Major destination markets have removed or sharply limited duty-free thresholds that once allowed small packages to clear customs with minimal friction. Shipping rates h
The Office Agent Race Shifts From Chatbots to Organizational Work
NextFin News — In June more than sixty million visits were recorded across seventeen Chinese desktop AI office agents. One product alone, Tencent’s WorkBuddy, accounted for nearly twenty-one million of them. ByteDance’s TRAE IDE followed with almost thirteen million. Alibaba’s earlier offering trailed at under eight million. Those numbers mark a clear change in how people use AI at work: the conversation has moved from answering questions to finishing multi-step tasks. The same summer the three companies that dominate the traffic ranking each reorganized their agent efforts. Alibaba’s response arrived on August 3, when it opened public beta of QwenWork and released a new large model on the same day. The platform merges three earlier agents—one that controlled a user’s computer and files, o
Shoppers Try AI Buying Chats Widely but Rarely Trust the Matches
TMTPOST — Xiaoyu Lin sat on the edge of her sofa on a weekday evening, the glow of her phone the only light in the small living room. She had decided that morning to begin training at a nearby gym, and the usual path—scrolling social feeds for starter lists, then opening three shopping apps to compare prices—felt suddenly exhausting. Instead she typed a single sentence into the chat window that now sat at the top of the largest marketplace app on her phone: “I’m a complete beginner at the gym. What do I actually need?” The reply arrived in under four seconds. It listed five categories, attached links, and asked whether she planned to train at home or in a facility. When she answered, the assistant added gloves, a towel, and a compact bag, each with a price and a short rationale. The first
MiniMax Opens H3 Weights as Video Editing Leader Amid Rising Performance and Cost Thresholds
NextFin News — On August 3, the weights for MiniMax’s H3 model appeared on Hugging Face under a community license. The same day, native support landed in ComfyUI. Developers could download the base checkpoints, run them locally through frameworks such as Diffusers, SGLang or vLLM, and generate short clips that combine video and native stereo audio from mixed text, image, video and audio inputs. The release followed an announcement on July 31 that positioned H3 as a general-purpose multimodal generator capable of producing 4-to-15-second sequences at up to 2K resolution. Independent rankings from Artificial Analysis place H3 first on the video-editing leaderboard, ahead of models from Google and other major laboratories. It also ranks near the top in text-to-video and image-to-video categor
Can Pinduoduo’s Secretive Project Reverse-Engineer the SHEIN Playbook?
Text | Shixiang, Author | Wang Tiemei, Editor | Gu Nian On July 1, 2026, the European Union’s sweeping new tariff regulations on cross-border small parcels officially took effect. The era of duty-free exemptions for packages valued under €150 came to a definitive close, replaced by a mandatory flat tariff of €3 on every low-cost item. Under this altered operating landscape, a significant portion of low-cost SKUs priced under €5 on Temu’s European platforms saw final consumer checkout prices surge by more than 70% over the past week. Driven away by these sudden tariff costs, a wave of consumers abandoned their shopping carts at checkout. Multiple merchants told ShiXiang that order volumes have plunged by at least 60% compared to pre-regulation baselines. For the past three years, Temu ancho
Miniso Terminates Influencer Contracts, Overhauls Ad Reviews After Domestic Backlash
TMTPOST — In the modern ecosystem of corporate marketing, attention is the ultimate currency, and social media algorithms reward shock value. This dynamic was starkly illustrated on July 13, 2026, when Miniso, the global lifestyle retail giant, retreated from a severe domestic backlash against a piece of outsourced video marketing. The incident centered on a promotional video created by "Alei’s Diary," an influencer with approximately 530,000 followers on Douyin. Tasked with highlighting the thin design of Miniso’s memory foam floor mats, the creator opted for a highly provocative narrative. The sequence showed a male resident lifting a gap in newly renovated floorboards to peer directly into the bedroom of a female neighbor below. The backlash from consumers—particularly women, who form t
The Last Mile of AI Adoption: Why Enterprise Data is Bottlenecking Even the Best Models
The Last Mile of AI Adoption: Why Enterprise Data is Bottlenecking Even the Best Models Large language models have moved past the initial arms race of parameter sizes and computing power. Today, the industry has entered deep waters, where success is measured by real-world adoption and tangible performance. A clear consensus has emerged: the ceiling for AI applications is determined not by the sophistication of the model itself, but by the readiness of the data beneath it. Between 2023 and 2025, enterprises focused on understanding what AI could achieve. By 2026, the corporate mandate has fundamentally shifted. Executives are now asking: What justifies an AI's output? How can we guarantee its answers are accurate and its decisions trustworthy? The answer begins and ends with data. Yet the s
Beyond the $9.90 Race to the Bottom: How China’s New Cross-Border Innovators Are Rewriting the Rules
AI-generated image TMTPOST — Huang Qiangshuai remembers the turning point vividly. Desperate to land a major account, he spent the night battling a sudden fever, knowing the client expected product samples within forty-eight hours. He finished an intravenous drip in the middle of the night and boarded an international flight just five hours later. He secured the order. "But it hit me that under the traditional legacy model, we were entirely passive," Huang says. "We simply executed whatever the client threw at us. The company’s growth was completely bottlenecked by their rigid, unyielding specifications." Huang is a second-generation manufacturer and the vice chairman of Zhejiang Shuaishuai Electric Appliance Co., Ltd. He began experimenting with Amazon during his university years abr
A Lifestyle Platform’s High-Stakes Gamble on the Grassroots Game
TMTPOST — On a mid-summer evening in a secondary district of a bustling eastern metropolis, the floodlights of a makeshift rooftop football pitch cut through the warm, humid air. A dozen amateur players, shirts soaked through with sweat, chase a battered leather ball across the artificial turf. On the sidelines, a twenty-four-year-old amateur league organizer balances a smartphone on a metal railing, live-streaming the casual match to an audience that fluctuates by the hundreds. The platform hosting the stream is not a traditional sports network, nor is it a male-dominated gaming forum. It is Xiaohongshu—a digital ecosystem built on the foundation of lifestyle aesthetic, fashion curation, and female-driven purchasing guides. By mid-July, following the conclusion of a major intern