# Сопутствующие статьи по теме Future

Новостной центр HTX предлагает последние статьи и углубленный анализ по "Future", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

Dragonfly: Crypto Was Not Made for Humans

Crypto Was Not Made for Humans: A Summary Dragonfly Capital partner Haseeb Qureshi argues that cryptocurrency was not designed for human use, but rather for AI agents. Despite being a crypto-native firm, Dragonfly still relies on legal contracts over smart contracts for investments, highlighting that traditional systems are built for human fallibility—featuring safeguards, reversibility, and intuitive interfaces that crypto lacks. Crypto, with its rigid, deterministic, and code-based nature, is error-prone for humans, leading to fears around transactions, phishing, and irreversible mistakes. However, these very traits make it ideal for AI. AI agents can perfectly verify transactions, audit contracts, and operate within crypto’s 24/7, borderless, and self-sovereign environment. They prefer code over ambiguous legal systems, which are slow and unpredictable. Qureshi envisions a future of "self-driving" wallets where AI agents handle all financial interactions, navigating DeFi protocols on behalf of users. These agents will also transact with each other autonomously, forming an economy of non-human participants—a reality already emerging with projects like Moltbook and Conway Research. In conclusion, crypto’s perceived flaws are not shortcomings but indications that humans are not the intended users. Within a decade, direct human interaction with crypto may seem archaic, as AI agents become the primary interface, unlocking the technology’s full potential.

marsbit02/19 05:14

Dragonfly: Crypto Was Not Made for Humans

marsbit02/19 05:14

After Raising $650 Million, Dragonfly Believes Crypto Was Not Made for Humans

Dragonfly Capital partner Haseeb Qureshi argues that cryptocurrency was not designed for humans but is instead the ideal financial system for AI agents. Despite being a crypto-native firm, Dragonfly still relies on legal contracts over smart contracts for investments, highlighting that traditional systems are built for human fallibility—featuring safeguards, reversibility, and intuitive interfaces. Crypto, by contrast, is rigid, error-prone, and unforgiving, with complex addresses, gas fees, and irreversible transactions posing significant risks to human users. Qureshi posits that AI agents are the natural users of crypto: they operate with precision, trust code over ambiguous legal systems, and can verify transactions instantly. Unlike humans, AI can navigate crypto ecosystem autonomously, negotiating and executing binding agreements via smart contracts within minutes. Crypto’s global, permissionless, and deterministic nature makes it perfect for AI-to-AI economic activity, which is already emerging with projects like Moltbook and Conway Research’s autonomous agents. He predicts the future interface for crypto will be “self-driving” wallets managed by AI, which will handle financial tasks on behalf of users. This shift will transform how protocols compete and market themselves. In a decade, humans may look back in astonishment that they ever interacted directly with crypto—its true potential unlocked only when its complementary technology, AI, arrived.

Odaily星球日报02/19 05:10

After Raising $650 Million, Dragonfly Believes Crypto Was Not Made for Humans

Odaily星球日报02/19 05:10

How Can Ordinary People 'Survive' the Impact of the AI Wave?

In this urgent warning, HyperWrite CEO Matt Shumer argues that AI advancement is progressing far faster than most people realize, with transformative impacts imminent across all sectors. He draws a parallel to the rapid onset of the COVID-19 pandemic, suggesting the current technological shift is even more profound. Shumer, an AI industry insider, states that a small group of researchers at leading labs like OpenAI and Anthropic are driving exponential progress. He shares his personal experience: recent models like GPT-5.3 Codex and Claude Opus 4.6 can now autonomously build and test complex software applications from a simple English description, requiring zero human correction. This represents a qualitative leap from being an assistant to a superior executor. He emphasizes that this disruption, which began with coding, will soon affect all knowledge work—law, finance, medicine, writing, and analysis—within 1-5 years, not decades. Free versions of AI tools are outdated; the paid, cutting-edge models are vastly more capable. Metrics show AI's autonomous task-completion time is doubling every few months. Crucially, AI is now used to build and improve subsequent AI models, creating a self-accelerating feedback loop toward artificial general intelligence (AGI). Shumer's advice for "surviving" is to start using the most powerful AI tools *now*. Subscribe to premium models, integrate them into core professional tasks, and experiment daily. Financial prudence and developing adaptability are key. He concludes that while AI poses immense risks (from job loss to security threats), it also offers unprecedented opportunities for creativity and problem-solving if approached with curiosity and urgency. The time to prepare is immediately.

marsbit02/18 04:27

How Can Ordinary People 'Survive' the Impact of the AI Wave?

marsbit02/18 04:27

From Real Estate to the Internet, Where Lies the Wealth Code for the Next Decade?

The article explores where the next decade's wealth opportunities lie, arguing that each generation’s “wealth code” is shaped by its unique experiences—from real estate and manufacturing in the 70s to internet and tech stocks in the 80s and 90s. For Gen Z and beyond, the key may be virtual economies and digital assets, exemplified by platforms like Roblox. Roblox is not just a game but a financial training ground where young users learn business, economics, and investment through creating and trading virtual items. Examples include teens earning millions by developing games, learning pricing, team management, and ROI in the process. Roblox paid over $1 billion to creators in a year, with top earners making around $1 million annually. However, over 99% earn under $1,000, reflecting real-world economic dynamics. Traditional institutions like TD Bank are taking note, launching educational games on Roblox to engage youth where they are, recognizing that financial literacy is shifting from physical banks to digital environments. Meanwhile, brands like e.l.f. Beauty and fintech firms are also entering this space, blurring lines between industries. The piece highlights a generational shift in asset perception: virtual items (e.g., CS:GO skins valued at $5.8 billion) and cryptocurrencies are seen as legitimate assets by Gen Z, with 51% owning crypto and fewer than 50% holding traditional bank accounts. Trust is moving from institutions to digital consensus and code-based systems. Three forces drive this trend: cognitive lock-in (investing in familiar digital realms), intergenerational trust transfer (from physical assets to virtual consensus), and network effects (collective engagement boosting value). Roblox, often mislabeled as a game company, acts as a central bank, regulator, and economic infrastructure—issuing currency, taking transaction fees, and maintaining ecosystem stability. Its “losses” are strategic, akin to early-stage Alipay, investing in habit-forming infrastructure. The conclusion: the next decade’s wealth will be built where young people spend time—virtual worlds that blend entertainment, economy, and education. Understanding their redefinition of assets and trust is key to foreseeing future financial landscapes.

marsbit02/17 06:35

From Real Estate to the Internet, Where Lies the Wealth Code for the Next Decade?

marsbit02/17 06:35

Lost in Hong Kong

"Lost Hong Kong" explores the city's profound economic and social fragmentation, caught between its storied past and an uncertain future. Despite strong macroeconomic indicators—such as 3.2% GDP growth and a booming stock market—the reality for many residents is starkly different. Rising unemployment, widespread retail closures, and an exodus of locals seeking affordable services in mainland China reveal a deep divide between financial elites and ordinary citizens. This duality stems from Hong Kong’s "muscle memory" of past crises—the 1997 Asian Financial Crisis and 2008 Global Financial Crisis—which entrenched a regulatory obsession with stability. This cautious approach has stifled innovation, particularly in fintech and Web3. Initiatives like virtual banks and crypto ETFs have struggled under heavy compliance burdens, while legacy systems like HSBC’s PayMe and the government-backed FPS dominate digital payments. The city’s economy is fractured along three lines: finance vs.实体经济, elites vs. the public, and asset accumulation vs. innovation. While wealth management flourishes, R&D investment lags behind peers like Singapore and Shenzhen. Hong Kong’s attempt to embrace disruptive technologies like Web3 has been half-hearted, favoring controlled, institutional adoption over genuine decentralization. Ultimately, Hong Kong’s reliance on outdated models hinders its ability to adapt. The article concludes that without bold structural changes, the city risks being left behind as a new era of global innovation accelerates.

marsbit02/13 08:42

Lost in Hong Kong

marsbit02/13 08:42

Andrew Kang: Abandon Short-Termism, Embrace Exponential Growth

Andrew Kang, founder of Mechanism Capital, argues that we are at a profoundly unique asymmetric moment in history, requiring a shift away from short-term thinking toward a long-term, exponential growth mindset. Having witnessed multiple market cycles, many investors become overly cautious during rapid price increases. However, Kang emphasizes that concerns about bubbles or attempts at market timing are misguided in the current environment. We are nearing a technological "singularity," driven by breakthroughs in AI, robotics, energy, and other innovative fields. In the coming decade, advancements such as billions of AI agents, humanoid robots, space data centers, multi-planetary colonization, and revolutionary medical therapies will compress more progress into twenty years than all of prior human history combined. Companies leveraging AI are already experiencing order-of-magnitude improvements in productivity. For instance, Anthropic now has Claude writing 100% of its product code. Traditional valuation models fail to capture the potential scale of growth, which could represent a 20-sigma event in terms of economic expansion. Wealth creation will accelerate dramatically. Those without exposure to these transformative trends risk being left behind as asset prices surge vertically. While short-term volatility is inevitable, Kang advises embracing long-term risk exposure rather than attempting to trade short-term fluctuations. The value of the embedded "call option" on the singularity is immense, and the time to adopt an exponential outlook is now.

marsbit02/12 13:23

Andrew Kang: Abandon Short-Termism, Embrace Exponential Growth

marsbit02/12 13:23

The Darkness Before Dawn: Crypto in 2026 = The Internet in 2002

"DeFi Cheetah argues that the current despair in crypto, marked by high-profile departures like Kyle Samani's shift to AI, is deceptive. The industry is at a critical inflection point, witnessing a rise of "fintech wrappers"—products from traditional finance (like bank-issued stablecoins or tokenized assets) that merely leverage blockchain for efficient settlement while retaining the old, rent-seeking intermediary structures. These wrappers, comparable to "Western Union with private keys," fail to capture value on-chain and fragment liquidity, representing an IT upgrade rather than true crypto innovation. Drawing a parallel to the dot-com bust of 2002, the author contends that just as early internet companies were merely "newspaper wrappers," today's fintech wrappers are placing old finance onto new rails. The real revolution will be built by those who embrace crypto's native properties: a global state instead of siloed databases, atomic composability instead of API integrations, and permissionless liquidity instead of walled gardens. The consensus view that blockchains are merely asset ledgers is where alpha is not found. The current downturn is a filter. The true builders who remain will focus on constructing what cannot exist on private servers, leveraging trustless coordination, permissionless access, and composability to solve problems legacy systems cannot. The work of building the sovereign internet is just beginning."

marsbit02/10 11:42

The Darkness Before Dawn: Crypto in 2026 = The Internet in 2002

marsbit02/10 11:42

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