# Сопутствующие статьи по теме Innovation

Новостной центр HTX предлагает последние статьи и углубленный анализ по "Innovation", 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

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

Aave Founder: What is the Secret of the DeFi Lending Market?

On-chain lending, which started as an experimental concept around 2017, has grown into a market exceeding $100 billion, primarily driven by stablecoin borrowing backed by crypto-native collateral. It enables liquidity release, leveraged positions, and yield arbitrage. The key advantage lies not in creativity but in validation through real demand and product-market fit. A major strength of on-chain lending is its significantly lower cost—around 5% for stablecoin loans compared to 7–12% plus fees in centralized crypto lending. This efficiency stems from capital aggregation in open, permissionless systems where transparency, composability, and automation foster competition. Capital moves faster, inefficiencies are exposed, and innovation spreads rapidly without traditional overhead. The system’s resilience is evident during bear markets, where capital continuously reprices itself in a transparent environment. The current limitation is not a lack of capital but a shortage of diverse, productive collateral. The future involves integrating crypto-native assets with tokenized real-world value to expand lending’s reach and efficiency. Traditional lending remains expensive due to structural inefficiencies: bloated origination, misaligned incentives, manual servicing, and defective risk feedback mechanisms. Decentralized finance solves this by breaking cost structures through full automation, transparency, and software-native processes. When on-chain lending becomes end-to-end cheaper than traditional systems, adoption will follow inevitably, empowering broader access to efficient capital deployment.

marsbit02/16 04:11

Aave Founder: What is the Secret of the DeFi Lending Market?

marsbit02/16 04:11

a16z Crypto Founder on Stablecoins: The 'WhatsApp Moment' in Money Has Arrived

Chris Dixon, general partner at a16z Crypto, argues that stablecoins are bringing about a "WhatsApp moment" for money—dramatically reducing the cost and increasing the speed of global payments, much like messaging apps did for communication. Last year, stablecoin transaction volume reached over $12 trillion, nearing Visa’s $17 trillion, but at a fraction of the cost. Stablecoins, which are pegged to assets like the U.S. dollar, are becoming mainstream for online and international payments. They offer near-instant settlement, high reliability, and programmability, effectively turning money into software. While adoption is still largely within crypto-native and global business contexts, integration with traditional finance is accelerating. U.S. policy developments, such as the proposed Clarity Act, could provide the regulatory framework needed for stablecoins to scale as part of global financial infrastructure. Major companies like Stripe, Fidelity, and SpaceX are already using or issuing stablecoins to cut costs, streamline cross-border payroll, and operate in regions with weak banking systems. A significant secondary effect is the strengthening of the U.S. dollar’s dominance. Stablecoin issuers like Circle and Tether now hold nearly $140 billion in short-term U.S. Treasury bonds, making them top holders. If growth continues, they could rank among the top 10 Treasury holders by next year. Ultimately, stablecoins are reshaping global finance by enabling borderless value transfer, much as the internet enabled borderless communication—provided clear rules and market structures support their growth.

marsbit02/15 11:13

a16z Crypto Founder on Stablecoins: The 'WhatsApp Moment' in Money Has Arrived

marsbit02/15 11:13

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