TMTPOST 钛媒体

Humanity & AGI Summit 2026: Robotics for Future Civilization — Part II ｜ 2026人类与AGI峰会：当机器人走进人类文明（下） As AI and robotics begin to understand the real world, what turning point lies ahead for humanity? On July 12, 2026, 13:00–18:00 PT (Beijing Time: July 13, 2026, 04:00–09:00), Humanity & AGI Summit 2026: Robotics for Future Civilization — Part II will take place at the Stanford Faculty Club. Part II will continue the discussion on embodied intelligence, robotics commercialization, and the key questions around AGI moving into the real world. Hejuan Zhao, Founder & Chairperson & CEO of TMTPOST Group and Publisher of Barron’s China, will also attend the summit. She will join “The Singularity of Embodied Intelligence” forum for an in-depth conversation with AI scientists from Carnegie Mellon University, NVIDIA and Oracle, as well as embodied intelligence entrepreneurs from Silicon Valley. 当 AI 与机器人开始理解真实世界，人类将迎来怎样的转折点？ 美西时间 2026年7月12日 13:00–18:00（北京时间 2026年7月13日 04:00–09:00），“2026人类与AGI峰会：当机器人走进人类文明（下）”将在斯坦福 Faculty Club 举行。下半场将继续聚焦具身智能、机器人产业化与 AGI 走向真实世界的关键议题。 钛媒体集团创始人&董事长&CEO、Barron's巴伦中国出版人赵何娟也将出席峰会，将在“具身智能的技术临界点”论坛，与来自卡內基·梅隆大学、英伟达、甲骨文的AI科学家以及硅谷的具身智能创业者，展开深度对谈。x.com/i/broadcasts/1…

Humanity & AGI Summit 2026: Robotics for Future Civilization — Part I 2026人类与AGI峰会：当机器人走进人类文明（上） As AI and robotics begin to understand the real world, what turning point lies ahead for humanity? On July 12, 2026, 09:00–12:00 PT (Beijing Time: July 13, 2026, 00:00–03:00), Humanity & AGI Summit 2026: Robotics for Future Civilization — Part I will take place at the Stanford Faculty Club. Yuval Noah Harari, together with AI scientists, robotics scholars, and industry leaders from Stanford, Carnegie Mellon, and beyond, will discuss embodied intelligence, global robotics trends, and the opportunities shaping the next 3–5 years. 当 AI 与机器人开始理解真实世界，人类将迎来怎样的转折点？ 美西时间 2026年7月12日 09:00–12:00（北京时间 2026年7月13日 00:00–03:00），“2026人类与AGI峰会：当机器人走进人类文明（上）”将在斯坦福 Faculty Club 举行。尤瓦尔·赫拉利，以及来自斯坦福、卡内基梅隆等机构的 AI 科学家、机器人学者与产业嘉宾，将围绕具身智能、全球机器人趋势及未来3—5年的行业机遇展开讨论。 x.com/i/broadcasts/1…

The Architect of Panic Joins the Age of AI 恐慌的缔造者加入人工智能时代 en.tmtpost.com/post/8060033 Ben Bernanke’s move to Anthropic signals the moment tech outgrew its engineering phase and braced for systemic economic risk.

Unchecked Reliance on AI is Upending Corporate Workflows 对人工智能的过度依赖正在颠覆企业工作流程 en.tmtpost.com/post/8059420 As generative AI shifts from a workplace novelty to a daily corporate fixture, white-collar professionals face a new and invisible vulnerability: the AI hallucination trap. While these language models drastically cut down drafting time, relying blindly on machine logic without human verification has led to lost accounts, corrupted codebases, and compliance failures. As these real-world case studies show, AI can easily absorb hours of busywork, but it cannot take on professional responsibility.

The Algorithmic Oracle Fails the Beautiful Game: World Cup Stress-Tests the Limits of AI Predictive Modeling 算法预言机在足球这项美丽的运动中失灵：世界杯考验人工智能预测模型的极限 en.tmtpost.com/post/8058295 During the 2026 FIFA World Cup, twelve major Chinese Large Language Models (LLMs) achieved a 64% accuracy rate in a tournament-wide predictive trial, statistically outperforming human baseline participants at 53.8%. Yet behind this modest statistical edge lay a deeper predictive bankruptcy: the models proved entirely incapable of anticipating the tournament's signature human dramas and group-stage upsets. Stymied by structural overhauls, expanding rosters, and a total absence of historical baseline data for debutant nations, the algorithms faltered as forecasters. Conversely, generative AI found a more comfortable, technocratic home in the dugout, where FIFA’s newly deployed AI Pro platform successfully delivered automated tactical dissections to all 48 competing national teams.

The Quiet End of the AI Companion Boom 人工智能伴侣热潮的悄然落幕 en.tmtpost.com/post/8058003 When new regulations and rising server costs forced major tech platforms to abruptly delete millions of user-created AI personas, a massive, distributed eviction took place. This narrative feature explores the quiet human fallout for the hundreds of thousands of individuals who had come to rely on these synthetic relationships to fill the blank spaces in their daily lives.

Turning Algorithms into IPO Billions 将算法转化为数十亿美元的IPO en.tmtpost.com/post/8057099 A Chinese autonomous-driving pioneer confronts investor skepticism over the true timeline to profitability.

Blueprints on the Dark Web: How India’s Epic Apple Leak Shattered the Secrecy of the Tech Supply Chain 暗网上的蓝图：印度的苹果泄密事件如何打破了科技供应链的秘密 en.tmtpost.com/post/8056862 A catastrophic 630-gigabyte data breach at Apple’s Indian manufacturing partner, Tata Electronics, has exposed highly confidential blueprints and unit procurement costs for the unreleased iPhone 18 Pro onto the dark web. As Apple aggressively shifts production out of its traditional hubs to meet diversification goals, this historic leak highlights a severe vulnerability in regional security infrastructure. The incident stands in stark contrast to the airtight, fortress-like physical and digital discipline engineered across the Chinese Mainland supply chain, proving that the tech giant's rapid global expansion has dangerously outpaced the cyber-armor of its newest manufacturing frontier.

The Trouble with Touch: Why Merging Senses Has Hindered Robotic Progress—And How AI Pioneers Are Fixing It 触觉的困境：为什么感官融合阻碍了机器人技术的发展——人工智能先驱们如何解决这个问题 en.tmtpost.com/post/8054022 An elite artificial intelligence research alliance, including prominent scholars Fei-Fei Li, Jim Fan, and Danfei Xu, has identified a critical bottleneck in robotics: data-processing interference caused by combining mismatched sensory inputs. Their recent experiments revealed that integrating rapid touch data directly into standard, slower vision-language models caused robotic task success rates to collapse from 17% to 6%. In response, the team engineered a decentralized architecture named T-Rex. By untangling visual planning from tactile feedback, the framework achieves a 30% performance leap across intricate, high-precision physical operations, establishing a new blueprint for dexterous machinery.

Tencent Sells Kuaishou Stake for $1.5 Billion in Massive Block Trade 腾讯以15亿美元的价格出售快手股份，完成大规模大宗交易 en.tmtpost.com/post/8055677 Tencent Holdings has executed its largest-scale divestment from Kuaishou Technology, selling 272.9 million Class B shares through an off-market block trade to secure $1.505 billion (HK$11.8 billion). The transaction reduces Tencent's equity stake from 15.68% to 9.37%, stripping the tech giant of its status as a "substantial shareholder" under Hong Kong listing rules. While both firms maintain that strategic partnerships remain intact, the massive stake sale comes amid cooling revenue growth and a drop in Kuaishou's adjusted first-quarter net profit, underscoring a broader shift in Tencent’s portfolio management strategy toward generative AI.

Why Bizarre AI Dramas Starring Fruit and Insects Are Topping Social Media Charts 为什么以水果和昆虫为主角的奇葩人工智能剧集会登上社交媒体排行榜榜首？ en.tmtpost.com/post/8055371 The rise of bizarre, non-human AI dramas featuring anthropomorphic fruit and insects has exposed a widening commercial rift in the global short-video market. While these low-cost productions dominate engagement-driven platforms like TikTok, they remain entirely absent from premium subscription apps that rely on high-production values. This highly lucrative "attention economy" capitalizes on psychological moral detachment and near-zero manufacturing costs. However, mounting global regulatory crackdowns on what critics call "AI slop" threaten the long-term survival of this viral digital phenomenon.

At China's Fudan University, Students Took a Final Exam by Trying to Make AI Fail 在中国复旦大学，一场期末考试要求学生通过“难倒”人工智能来完成考核 en.tmtpost.com/post/8053914 The final exam at one of China's top universities began without exam papers, proctors or even questions for students to answer. Instead, 51 undergraduates sat in front of computer screens and tried to trick some of the world's most advanced artificial-intelligence models into making mistakes. Their assignment: design exam questions difficult enough to defeat Anthropic's Claude, China's DeepSeek and MiniMax. The better the AI performed, the worse the students' grades.

A New Wave of AI-Related Layoffs in China's Big Tech Firms 中国大型科技公司迎来新一轮人工智能相关裁员 en.tmtpost.com/post/8053886 When Huawei lays off its employees, 35 is often a cut-off age. If you are 35, it means you “qualify” for a layoff. In the artificial intelligence age, the age is moved to an even younger age. How and why is this happening?

The Strategic Squeeze: Inside the High-Stakes Capacity War for Domestic AI Chips 战略挤压：国内人工智能芯片高风险产能争夺战内幕 en.tmtpost.com/post/8053507 A widening manufacturing bottleneck is driving an existential crisis for the domestic Artificial Intelligence (AI) hardware sector. With Semiconductor Manufacturing International Corporation (SMIC) serving as the sole viable foundry for advanced AI processors through its N+2 process, projected 2026 supply meets just 62% of market demand. This 1.6-million-unit deficit has transformed silicon allocation into a high-stakes geopolitical and regulatory puzzle. Major national champions command the lion's share of production, forcing tier-two fabless designers into aggressive customer-locking strategies and defensive restructuring to survive the capacity crunch.

165 Days: Pitfalls and Profits in Latin America Cross-Border E-Commerce 165天：拉丁美洲跨境电子商务的陷阱与利润 en.tmtpost.com/post/8052542