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AI and Macro Insights

Stanford's 423-page AI report: The gap between China and the US is only 2.7%, and Tsinghua University's DeepSeek has broken into the global top ten.

AI computing power has surged 30 times in 3 years, and global computing power and capital are highly concentrated in large companies, resulting in 20% of young programmers losing their jobs.

Silicon Valley Observer: Finding Certainty Amidst the AI Wave

While acknowledging that "AI does not need Web3 for the time being," stablecoins have become the native payment layer for AI agents.

Behind the Hermes Agent viral success, Web3 forces are penetrating the AI battlefield.

From upstream computing power and midstream framework models to downstream application scenarios, Web3 is appearing more and more frequently in the AI arena.

Allbirds, the trendy sneaker brand that swept Silicon Valley, has also gone all-in on AI.

Allbirds abandoned its shoe manufacturing business, transformed into an AI computing service and renamed itself NewBird AI, causing its stock price to surge by more than 800% in a single day.

Someone has transformed Buffett and Munger into agents and then open-sourced them…

The philosophies of 12 legendary investors, including Buffett, Munger, and Sister Mu, have been "coded" to construct a multi-agent investment committee.

Organizations and celebrities' creative ideas

The current state of top crypto VCs: Multicoin assets halved, a16z shrank by 40% and is busy distributing dividends.

The only company to buck the trend and grow was Haun Ventures, which bet on the stablecoin sector by getting BVNK acquired by Mastercard.

Dragonfly: Venture capital can only achieve stable and sustainable growth by listening to investors, investing in reliable people, and adapting to market trends.

If investors want liquidity, VCs must invest in companies that can exit; if investors want a good reputation, VCs cannot invest in companies embroiled in scandals.

How can crypto VCs survive when top projects no longer need institutional funding?

Crypto venture capital is facing a reshaping of token exit mechanisms. Cases like HYPE and PUMP have disrupted the market's framework for evaluating token value, with on-chain revenue becoming the new benchmark. This article provides an in-depth analysis of how VCs can cope with industry reshuffling and find new survival strategies amidst token lifecycle compression and dramatic changes in valuation logic.

CZ Binance Square AMA Q&A Transcript: Entrepreneurship, Direction, Bear Market Investing, and Opportunities for Ordinary People

In his "Binance Life" AMA, CZ shared his entrepreneurial insights, discussing how to determine direction and seize opportunities in the crypto industry, and offering practical advice to confused young people. Learn the real story behind Binance and the long-term value of blockchain.

11 people, zero funding, $900 million a year: The incredible life of Hyperliquid founder Jeff Yan

How did Hyperliquid founder Jeff Yan, with a team of 11 and zero VC funding, capture 37% of the decentralized perpetual contract market share within two years? This article delves into his disruptive journey from a physics Olympiad gold medalist to rebuilding the financial system.

Seize the opportunity

Don't think there's nothing to do during a bear market; these four types of smart people are already quietly making money.

Axie, StepN, NFTs, testnets, and airdrop interactions are a thing of the past; earning rewards through tangible contributions has become the new trend for making money.

How can ordinary people capture trading signals in 2026?

This article provides an in-depth analysis of how to combine 50 weak signals into a high-probability trading strategy, revealing the core framework of institutional quantitative trading. Learn the fundamental laws of active management and the 11-step combination engine, mastering the mathematical principles of building independent signal advantages and avoiding losses on platforms like Polymarket.

From 0 to 100x: AI Quantitative Analysis Practices That Ordinary People Can Learn

Some people use AI to write daily reports, while others use AI to generate hundreds of times the profit.

A comprehensive guide to stock tokenization: Who's doing it, how do you buy it, and what are the risks?

The US capital market structure is undergoing dramatic changes, with the SEC outlining a blueprint for tokenized securities, and giants like Nasdaq and the NYSE making moves. This article provides an in-depth analysis of four models of stock tokenization, key participants and user paths, and reveals the true ecosystem and investment logic of the private equity market driven by fervent demand.

Web3 Matters

Gate Crypto Industry Employment Development Trends White Paper

The impact of AI has already reached crypto, and faster than most people expected.

How did RAVE achieve a textbook-level short-selling kill with 90% control of the market, surging 80 times in 7 days?

RAVE token surged nearly 80 times in 7 days, but behind its valuation of tens of billions is a 90% monopoly and on-chain manipulation? Unveiling the manipulation traps in the altcoin market, how can investors escape FOMO and short-selling attacks?

The singularity of the mechanism, the singularity of the bull market: short selling is the key piece of the puzzle to trigger the next round of altcoin bull market.

The starting point of every major bull market is not due to a new narrative, but rather to the evolution of trading mechanisms.

A Brief History of Web3 Airdrops: A Look at Twelve Iconic Anti-Airdrop Projects

From "get-rich-quick myth" to "cyber Myanmar".

A recap of SIREN's trading process: From entering with 20,000 BNB to an epic short squeeze

From on-chain accumulation and shakeout in June 2025 to the epic short squeeze and price manipulation in March 2026, this article reveals the complete strategy of the manipulators and their impact on the market.

AI and Macro Insights

Organizations and celebrities' creative ideas

Seize the opportunity

Web3 Matters

Key Information

Machi once again increased its ETH holdings, with cumulative losses exceeding $137 million

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