# Сопутствующие статьи по теме Technology

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

Beneath the Surface Glamour: OpenAI's 'Four Major Dilemmas'

Despite its massive user base and substantial funding, OpenAI faces four fundamental strategic challenges according to analysis by tech analyst Benedict Evans. The company lacks a durable technical moat, as multiple competitors now offer models with comparable performance, eliminating any sustained technological advantage. User engagement remains shallow, with only 5% of its 900 million weekly active users paying and 80% sending fewer than 1000 messages in 2025—equivalent to less than three prompts per day—indicating ChatGPT has not become a daily habit for most. Competitors like Google and Meta are closing the gap technologically and leveraging their distribution strengths to capture market share. Meanwhile, OpenAI’s platform strategy, which aims to build a full-stack AI ecosystem, may not create real network effects or lock-in, as users and developers can easily switch between underlying models. Additionally, the company’s product roadmap is heavily influenced by research breakthroughs rather than user-centric design, limiting strategic control. Evans concludes that without true differentiation, network effects, or ecosystem leverage, OpenAI’ position relies on execution rather than a defensible long-term strategy.

marsbit02/24 02:38

Beneath the Surface Glamour: OpenAI's 'Four Major Dilemmas'

marsbit02/24 02:38

Bitcoin’s Quantum Risk Steals Spotlight At Ethereum Gathering

Bitcoin's vulnerability to quantum computing emerged as a key topic at the ETH Denver conference. While quantum computers pose only a moderate threat to Bitcoin’s hashing algorithms due to limited speed improvements, the real concern lies with digital signatures. Most wallets rely on elliptic curve cryptography, which Peter Shor’s algorithm could break using a sufficiently powerful quantum computer, allowing attackers to derive private keys from public keys. Current estimates of the qubit requirements for such an attack have decreased, with some studies suggesting six-figure-range machines might eventually pose a risk. However, practical challenges like error rates and stability remain significant barriers. In response, the crypto industry is proactively developing defenses. The Ethereum Foundation has a dedicated research group, and companies like Coinbase are engaged in planning, expressing confidence that the quantum threat is solvable with preparation.

bitcoinist02/23 10:22

Bitcoin’s Quantum Risk Steals Spotlight At Ethereum Gathering

bitcoinist02/23 10:22

After Dragonfly Raises $650 Million in New Funding, Haseeb Says 'Crypto Is Not for Humans,' AI Agents Are the Ultimate Users

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 due to their human-friendly design and legal enforceability. Traditional financial systems, though flawed, are built for human fallibility, whereas crypto’s complexity, security risks, and lack of intuition make it poorly suited for people. Qureshi posits that AI agents are the ideal users of crypto: they don’t tire, can verify transactions instantly, audit contracts rigorously, and prefer code-based certainty over the ambiguities of legal systems. Crypto’s deterministic, self-sovereign, and always-on nature aligns perfectly with AI’s operational needs. He envisions a future where "autopilot" wallets managed by AI handle financial tasks, navigating protocols and negotiating agreements autonomously. This shift will transform how crypto services compete and interact. Early examples, such as AI agents on platforms like Moltbook and Conway Research’s autonomous crypto-earning agents, already demonstrate this trend. In conclusion, crypto’s perceived flaws are not failures but indications that humans were never the intended users. With AI agents as the primary interface, crypto may finally realize its potential.

marsbit02/21 01:10

After Dragonfly Raises $650 Million in New Funding, Haseeb Says 'Crypto Is Not for Humans,' AI Agents Are the Ultimate Users

marsbit02/21 01:10

Phemex Launches AI-Native Revolution, Signaling Full-Scale AI Transformation

Phemex, a cryptocurrency exchange, has announced a company-wide "AI-Native Revolution" to embed artificial intelligence into its core operations, product development, and strategic planning. This transformation positions AI as a foundational layer across the organization, moving beyond standalone features to integrate intelligent systems into management, workflows, and platform architecture. The shift aims to enhance decision-making, streamline operations, and create a more adaptive and efficient trading environment for users. CEO Federico Variola stated that AI represents a structural turning point for the industry, where exchanges will compete based on intelligent technology integration rather than just listings or fees. This initiative reinforces Phemex's evolution into a fully AI-native organization focused on innovation and scalability.

TheNewsCrypto02/19 11:22

Phemex Launches AI-Native Revolution, Signaling Full-Scale AI Transformation

TheNewsCrypto02/19 11:22

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

Will Ex-Ripple CTO Schwartz Develop Bitcoin Again? His Answer Turns Heads

David Schwartz, former Ripple CTO and key architect of the XRP Ledger, dismissed the possibility of returning to Bitcoin development, calling Bitcoin “largely a technological dead end.” He argued that Bitcoin's success is driven more by social and monetary inertia than by technological innovation at its base layer. The comments emerged from a debate on X (formerly Twitter) about centralization in crypto, where Schwartz defended XRP's early "genesis reset" by pointing to what he called more centralized incidents in Bitcoin's history, such as a coordinated rollback in 2010. Schwartz stated that blockchain technology matters less to Bitcoin’s success than its established monetary status, comparing it to the U.S. dollar. He confirmed he has no plans to develop for Bitcoin again and will instead focus on his own projects on the XRP Ledger. At the time of writing, XRP was trading at $1.38.

bitcoinist02/12 19:03

Will Ex-Ripple CTO Schwartz Develop Bitcoin Again? His Answer Turns Heads

bitcoinist02/12 19:03

This Might Be the Last Chance for Ordinary People to Understand AI in Advance

The author, an AI industry insider, warns that AI advancement is undergoing a nonlinear, exponential leap—not gradual improvement. By early 2026, models like GPT-5.3 and Claude Opus 4.6 can autonomously complete complex tasks (e.g., coding full applications, legal analysis, financial modeling) without human intervention, often outperforming professionals. AI is now actively used in its own development, accelerating progress toward artificial general intelligence (AGI), predicted to surpass human capability in most tasks by 2026–2027. This shift threatens 50%+ of white-collar jobs (law, finance, writing, software, etc.) within 1–5 years, as AI replaces cognitive labor universally. The author urges immediate action: use paid, state-of-the-art AI tools (e.g., ChatGPT Plus, Claude Pro) for real work tasks, not just queries; adapt skills toward creativity and AI collaboration; secure finances; and embrace continuous learning. The window to gain advantage is narrow but critical. Beyond work, AI poses existential risks (e.g., security threats) and promises breakthroughs (e.g., curing diseases). The message is clear: engage now or risk being left behind.

marsbit02/11 13:57

This Might Be the Last Chance for Ordinary People to Understand AI in Advance

marsbit02/11 13:57

Ray Dalio Warns CBDCs Threaten Financial Privacy — Former Trump Adviser Claims Zcash Is the Fix

Ray Dalio warns that central bank digital currencies (CBDCs) will lead to a significant loss of financial privacy, as all transactions would be visible to authorities, enabling potential government overreach such as taxation, asset seizure, and sanctions. He expressed skepticism about CBDCs' attractiveness if they don't offer interest, suggesting people might prefer traditional savings vehicles. In response, former Trump adviser Thor Torrens proposed Zcash as a solution, highlighting its privacy features through shielded transactions using zero-knowledge cryptography. Despite internal challenges, Zcash developers continue to advocate for its use. Dalio also discussed broader concerns about the breakdown of the global monetary system, noting shifting capital flows and potential "capital wars" as countries grow wary of holding each other's debt, which some believe could drive interest in Bitcoin amid fiat uncertainty.

ccn.com02/11 11:26

Ray Dalio Warns CBDCs Threaten Financial Privacy — Former Trump Adviser Claims Zcash Is the Fix