Infinite Tech Lab

US AI vs China AI: Two Paths, Two Systems, One Global Race The global AI race is often framed as a head-to-head competition between the United States and China. While that framing is convenient, it misses a more important reality: the two countries are not running the same race. They are building AI under very different economic systems, policy constraints, and technological assumptions. As a result, “US AI” and “China AI” are diverging into two distinct models of innovation. This divergence is now shaping everything from chips and models to products, governance, and global influence. 1. Strategic orientation: frontier breakthroughs vs large-scale deployment The United States approaches AI primarily as a frontier technology race. The dominant goal is to push the limits of what models can do—larger parameter counts, stronger reasoning, better multimodal capabilities, and general intelligence benchmarks. Research leadership, model quality, and speed of scientific breakthroughs matter mo...

China’s New AI Path: From Policy and Compute to the Consumer “Entrance War” and a List of Popular Tools The 2025 Government Work Report includes “AI Plus” as a key priority, explicitly supporting the broad application of large models and the development of intelligent terminals and smart manufacturing equipment. With advanced chips constrained externally, China is placing more emphasis on an engineering-led approach that is deployable, operable, and scalable, while accelerating domestic compute systems (for example, Huawei Ascend and SuperPod-style clusters). On the consumer side, the market is entering an “entrance war”: AI assistants are no longer just for chat, but are becoming workflow entrances for search, reading, writing, and creation, with some products reaching tens of millions to over a hundred million monthly active users. 1. Why China’s AI now looks more like an industry strategy than a lab experiment China’s AI momentum is moving from a “model release wave” to large-scale...

Google TPU: From “Internal Secret Weapon” To An AI Weapon That Can Shake NVDA?   Google TPU is a dedicated accelerator that Google built in‑house for AI. It started out being used only for internal services, and has now become both a cloud product and an independent AI chip business, changing the rules of the entire AI infrastructure game. In this process, TPUs both help Google lower the cost of its own AI, and at the same time move toward external sales and cloud supply, posing a substantial long‑term threat to Nvidia, which almost monopolizes AI chips today, and potentially making future AI products “cheaper, more power‑efficient, and more everywhere.”   What Is A TPU, And Why Does Google Need Its Own Chip?   A TPU (Tensor Processing Unit) is not a general‑purpose GPU. It is an ASIC chip designed for deep‑learning core workloads such as matrix multiplication and vector operations, and is especially friendly to today’s Transformer‑based models like Llama a...

Brave: The Revolution of Privacy, Speed, and the Attention Economy  In an era where personal data is the world's most valuable commodity, the majority of web browsers operate as silent partners in the surveillance capitalism model. Enter Brave, a free, open-source web browser that is not just an alternative, but a fundamental paradigm shift. Built by Brendan Eich, the creator of JavaScript and co-founder of Mozilla and Firefox, Brave is a mission-driven project designed to block intrusive tracking, load pages at lightning speed, and reinvent the relationship between users, content creators, and advertisers. If you are looking for a deep dive into the technology, features, and philosophy behind this privacy-centric powerhouse, especially how it integrates Artificial Intelligence, read on. The Core Defense: A Deep Dive into Brave Shields Brave’s superior performance and privacy begin with its core, built-in technology: Brave Shields. Unlike other browsers that require multiple, often...

Why More and More Designers Are Switching from Figma to Cursor In the AI era, the battlefield of design tools has never been so intense. Figma, once the undisputed king with its collaboration features and visual prototyping, is now facing a quiet but rising wave sweeping through the design community: more and more designers are ditching Figma in favor of Cursor, an AI-powered code editor. According to recent industry discussions and reports, 89% of designers admit that AI tools have improved their workflows, and Cursor is at the heart of this transformation. Why is this happening? This article dives deep into the reasons behind this trend, combining real feedback from designers and tool comparisons to help you understand the future of design work. What is Cursor? From Code Editor to Design Powerhouse Cursor isn't your typical design software. Built on VS Code, it integrates advanced AI models (like Claude and GPT) and was originally designed for developers. But in 2025, it's qu...

Putting Published Data on a Blockchain: A Practical Guide from First Principles Blockchains excel at immutability and verifiable provenance, making them a strong foundation for timestamping, source attestation, and version tracking of already-public materials like reports, datasets, disclosures, or research notes. The core idea is simple: anchor a tamper-evident “fingerprint” of the content on-chain and keep the heavy content off-chain, so anyone can later verify when and what was published without bloating the chain. Why anchor published data on-chain Integrity and tamper-evidence: A cryptographic hash uniquely represents the content; any later alteration will produce a different hash, making changes detectable. Provenance and timing: On-chain transactions provide transparent timestamps and signer identities, helping auditors, reviewers, and the public confirm who published what and when. Cross-organization trust: Shared ledgers reduce reliance on any single repository, supporting mul...

How Passkeys Work: A Simple Guide to Passwordless Authentication Passkeys are transforming the way we secure our online accounts, offering a simpler, safer alternative to traditional passwords. But what exactly are passkeys, and how do they work? In this blog post, we’ll break down the technology behind passkeys, their benefits, and how they’re paving the way for a passwordless future. What Are Passkeys? Passkeys are a modern authentication method designed to replace passwords with a more secure and user-friendly approach. Built on the WebAuthn (Web Authentication) standard, passkeys leverage public-key cryptography and are often tied to a user’s device, such as a smartphone or computer. They allow you to log in to websites and apps without typing a password, using biometrics (like fingerprint or face recognition), a PIN, or a device-specific security mechanism. Unlike passwords, which can be forgotten, stolen, or guessed, passkeys are resistant to phishing, credential stuffing, and ot...

Popular AI Coding Tools in 2025 and the Preferred Choice In 2025, AI coding tools have become indispensable assistants for developers, accelerating code generation, debugging, and optimization processes. These tools not only boost productivity but also handle multiple programming languages and development environments. According to the latest surveys, GitHub Copilot is the most popular choice among engineers, with 42% of respondents considering it their top pick. This article introduces several popular AI coding tools, compares their features, and discusses which one is most favored. The data is based on the latest search results from July 2025, ensuring timeliness. Overview of Popular AI Coding Tools Below is a list of the most notable AI coding tools in 2025, covering a range from auto-completion to full-featured IDEs. These tools support multiple programming languages and integrate with popular editors like VS Code and JetBrains. GitHub Copilot GitHub Copilot, developed by Microsoft...

Vibe Coding: The Era of “Just Go with the Flow” Programming Have you ever wished you could build an app without worrying about syntax, frameworks, or technical details—just by describing what you want? Welcome to the hottest trend in software development for 2025: Vibe Coding! What is Vibe Coding? Vibe Coding is a new development philosophy popularized by OpenAI co-founder Andrej Karpathy in 2025. The core idea is simple: “Just follow the vibes, embrace AI progress, and forget about the code itself.” With Vibe Coding, developers use natural language—like chatting with a friend—to describe what they want. The AI then generates the code for you. No more memorizing syntax or getting bogged down by technicalities. Just focus on your ideas, logic, and requirements, and let the AI handle the rest! Key Features of Vibe Coding Natural Language as Programming Language Whether it’s English, Chinese, or any other language, just clearly state your needs and the AI will understand and generate code...

Beyond JPG: A Modern Web Designer's Guide to Image Formats For years, JPEG, PNG, and GIF have been the undisputed workhorses of web imagery. They are reliable and universally supported. But as websites become more complex and user expectations for speed and quality grow, relying solely on this classic trio can mean leaving performance on the table. Fortunately, a new generation of image formats has emerged to solve these problems. Understanding the modern landscape—including WebP, AVIF, SVG, and APNG—is crucial for any designer or developer looking to build faster, sharper, and more efficient websites. The Classic Three: Still Relevant, But with Caveats Before diving into the new formats, it's worth remembering the roles of the originals, as they still serve as important baselines. JPEG (Joint Photographic Experts Group): The long-standing champion for photographs. Its lossy compression algorithm is excellent at drastically reducing the file size of complex, colorful images. It...