The article lists the U.S. corporate executives joining President Trump's May 13‑15 state visit to China, groups them by industry influence, highlights the heavy AI presence among the delegates, and notes how Chinese policy constraints have kept their AI businesses on hold.
By 2026, Google, Amazon, and Microsoft plan to pour a combined $725 billion into AI infrastructure—a 77% rise that dwarfs global semiconductor revenues—driving aggressive data‑center expansion, custom chip development, and a strategic race where missing the investment could mean losing future AI dominance.
The article argues that, like the container‑shipping revolution, generative AI belongs to a mature phase of a larger ICT wave, offering limited upside for investors while the real wealth accrues to downstream users and established firms that can exploit cost reductions.
The article analyzes the rapid evolution of China’s AI ecosystem, detailing the full open‑source release of GLM‑5.1 with GPT‑4o‑level performance, a 300% API usage spike after US restrictions, upcoming model roadmaps from major players, record‑high AI compute capacity, and unprecedented investment flows that together signal a strategic shift in the global AI race.
The March 1 2026 AI Tech Daily reports on car manufacturers entering human‑making, Tesla's executive turnover, Xiaomi's VisionGT concept supercar, AI‑driven lobster‑taming, Tesla's lunar factory plan, Haidian's 9 billion‑yuan tech boost, a struggling AI‑replacement startup, booming humanoid‑robot financing, and China's shift toward a "software underuse" era.
FieldAI, a 2023 startup backed by Bezos, Gates, Nvidia and Intel, has raised over $405 million to develop a physics‑first “general robot brain” (FFMs) that closes the real‑world data gap, leverages NASA‑honed autonomy research, and targets industrial tasks while riding a surge in global robotics investment.
Nvidia and OpenAI have forged a strategic partnership to deploy at least 10 GW of GPU power—equivalent to millions of GPUs—with up to $100 billion in investment, marking the biggest AI infrastructure effort ever and promising transformative impacts across industries.
The CB Insights Q2 2025 Artificial Intelligence Report reveals a historic $4.73 billion global AI funding peak, a surge in unicorn counts to 261, shifting geographic hotspots, dominant US investors, notable equity deals, and an emerging wave of exits that together signal a maturing AI market.
The article argues that AI models are evolving into standalone products, examines scaling limits, integration challenges, reinforcement‑learning economics, and investment dynamics, and warns that reliance on large‑lab APIs may jeopardize future profitability for integrators.
This article explains how calculus and mathematical modeling can maximize investment returns, balance risk and reward, and optimize portfolio allocation, using derivative analysis, utility functions, Lagrange multipliers, and integration for long‑term planning, illustrating the scientific power behind financial decision‑making.
This article explores how AI large models are transforming the financial sector through intelligent advisory, automated strategy generation, risk prediction, asset allocation, and other applications, presenting detailed implementations, real-world case studies, and discussing future opportunities and challenges such as data privacy, model transparency, and regulatory compliance.
The report released at the China AIGC Industry Summit outlines a rapidly expanding AIGC market projected to reach 200 billion RMB in 2024 and a trillion‑scale by 2030, highlighting dominant AI‑native applications, multimodal growth, investment concentration on leading players, and distinct B‑end and C‑end business models.
GitHub star‑buying has become a black‑market industry, with prices ranging from under a yuan to six yuan per star, prompting investors to use star counts as a metric, while researchers develop simple and advanced clustering algorithms to detect fake stars and expose the practice.
This article explains the Kelly Criterion, its mathematical formula, practical application with a biased‑coin example, detailed derivation, Python simulation code, and a balanced evaluation of its strengths and limitations for gambling and investment strategies.
This article provides an in‑depth analysis of ChatGPT, covering its GPT‑3.5 foundation, RLHF training pipeline, key features, technical limitations, model compression methods, and the broader industry impact and investment prospects of large language models.
MariaDB, the open‑source cloud database company founded by MySQL’s original creator, completed a SPAC merger to list on the NYSE, highlighting its $227.2 million pre‑IPO funding, ambitious cloud strategy, and the growing relevance of smaller‑scale database solutions against cloud giants.
This article reviews ChatGPT’s rapid rise, compares it with GPT‑3, explains the underlying transformer and reinforcement‑learning‑from‑human‑feedback technologies, outlines the evolution of natural‑language processing, and discusses emerging AI investment opportunities and future trends.
The article explores Huang Zheng's resignation from Pinduoduo, his personal journey from a modest upbringing to leading a tech giant, and distills his insights on product strategy, competition with Taobao, investment philosophy, and broader thoughts on supply‑demand dynamics and wealth transfer.
This article chronicles the entrepreneurial journey of Dai Wei, the founder of ofo, detailing his privileged background, rapid expansion, strategic missteps, investor relations, and ultimate collapse, offering insights into startup management, funding decisions, and the challenges of scaling a shared‑mobility platform.
The article reports that China’s AI core industry reached 770 billion yuan in the first half of the year, while also covering BOSS recruitment abuse actions, a Tesla sunroof incident, Huawei’s investment in Quanzhi Microelectronics, Alibaba Cloud’s optimistic view on autonomous driving, and links to deeper technical pieces on Linux, command‑line tools, and database caching.
This article explores the probability of successful bottom‑buying in the stock market by building a data model, using Python to scrape fund data, analyzing individual and multiple funds, and visualizing results to reveal that only about one in four attempts succeed.
Engineer.ai, an Indian AI startup that touted AI‑assisted app development and raised millions in funding, is now sued for allegedly exaggerating its AI capabilities, with evidence that human engineers performed the work, highlighting a broader issue of deceptive AI companies.
The article examines ByteDance’s rapid rise to a $75 billion valuation, detailing its product‑by‑product expansion from early apps to TikTok, its strategic investments across content, education and gaming, and the organizational tactics that turned the company into a dominant ‘app factory’.
In a recent interview, iQiyi’s Vice President Xie Danming predicts that 2019 will mark a golden harvest for artificial intelligence, driven by 5G‑enabled AR/VR expansion, mature voice AI, emerging graph neural networks, and growing application‑focused investment, while highlighting challenges such as model cost, multimodal analysis, and the need for lightweight algorithms.
This guide provides a step‑by‑step learning roadmap for complete beginners and investors, offering videos, articles, podcasts, books, and courses that introduce blockchain fundamentals, security practices, and advanced resources to help readers responsibly explore Bitcoin and other digital assets.
This guide offers a structured, step‑by‑step learning path for absolute beginners and curious investors, covering quick video introductions, deeper reading, podcasts, classic papers, advanced courses, economics research, and up‑to‑date community resources to help understand and evaluate cryptocurrencies.
This comprehensive guide explains blockchain fundamentals, its core technologies such as blocks, hash functions, Merkle trees, consensus mechanisms and smart contracts, and explores diverse industry applications—from digital currencies and finance to supply‑chain, healthcare and IP—while also offering investment insights and future outlooks.
Drawing on insights from Shark Tank investors and seasoned entrepreneurs, this guide outlines practical steps—such as honest self‑assessment, realistic valuation, market validation, risk control, and networking—that can significantly improve a startup’s chances of securing investment.
