# Пов'язані статті щодо Future

Центр новин HTX надає останні статті та поглиблений аналіз на тему "Future", що охоплює ринкові тренди, оновлення проєктів, технологічні розробки та регуляторну політику в криптоіндустрії.

Coinbase CEO Armstrong: 'The Significance of Cryptocurrencies Will Increase Even More in the Era of Artificial Intelligence!' Here Are the Details

Coinbase CEO Brian Armstrong stated that the rapid development of artificial intelligence (AI) will not diminish the importance of the cryptocurrency sector. On the contrary, digital assets are poised to play a much more significant role in the new era. Armstrong emphasized on social media platform X that AI and crypto are not competing technologies but rather complementary infrastructures. He explained that cryptocurrency technology serves as a universal infrastructure, similar to electricity or the internet, and will become a fundamental tool for AI systems to conduct financial transactions in the future. Armstrong argued that the need for digital assets will increase, especially with the proliferation of autonomous AI agents, as existing financial systems are not fully adapted to this new technology. AI agents cannot open bank accounts or wait for international wire transfers, whereas crypto offers a significant advantage as a real-time, programmable payment system. Looking ahead, Armstrong envisions AI agents not only making payments but also autonomously performing various economic operations like fund management, investment deals, trading, financial advising, and fundraising. In this scenario, blockchain and crypto will form the fundamental infrastructure enabling AI systems to conduct secure and seamless financial transactions. The integration of decentralized finance (DeFi), smart contracts, and tokenization applications with AI-based systems is seen as a key development direction in the sector.

cryptonews.ru2 дні тому 10:55

Coinbase CEO Armstrong: 'The Significance of Cryptocurrencies Will Increase Even More in the Era of Artificial Intelligence!' Here Are the Details

cryptonews.ru2 дні тому 10:55

AI Era, Industrial Revolution, and Future Civilization Interview — Zhang Dingwen: The Future Does Not Belong to Chasers

"AI Era, Industrial Revolution and Future Civilization: An Interview with Zhang Dingwen – The Future Does Not Belong to Those Who Chase" In this interview, entrepreneur Zhang Dingwen reflects on his entrepreneurial journey and philosophy, moving beyond discussions of financing or success to emphasize understanding the "era" itself. He argues that true entrepreneurs should not chase short-term trends ("winds"), but position themselves in the direction of long-term technological and societal evolution. Zhang shares key lessons from his early days, including the realization that user value does not automatically translate to commercial value. For him, the core of entrepreneurship is not building a company but constantly upgrading one's own "cognition" – the ability to interpret information, ask the right questions, and understand the underlying "causes" behind business outcomes, not just the effects. His thinking has evolved from a focus on creating good products to a strategic focus on building "entrances" – platforms that naturally connect users to digital services. He sees smart wearables, like watches, not merely as hardware but as potential future gateways combining technological, financial, social, and even fashion attributes to create sustained user relationships and ecosystems. Ultimately, Zhang's vision transcends individual products or companies. He discusses business competition in three stages: product, platform, and finally, "civilization" – where the greatest companies influence how society operates by defining new rules and ways of life. He believes the mission of a truly great enterprise is to solve problems of its time, build enduring trust, and contribute lasting value, leaving behind not just wealth but a positive impact on how the world works. The future, he concludes, belongs not to the fastest, but to those with the correct long-term direction and a commitment to continuous learning and evolution.

marsbit07/21 08:29

AI Era, Industrial Revolution, and Future Civilization Interview — Zhang Dingwen: The Future Does Not Belong to Chasers

marsbit07/21 08:29

Understanding the Stablecoin Industry Chain in One Article: The Real Profits Are Not in the Issuance

Understanding the Stablecoin Industry Value Chain: The Real Profits Are Not in Issuance The article argues that while industry discussion focuses on stablecoin issuers like Tether and Circle, the real profit opportunities lie further down the value chain. It breaks the stablecoin ecosystem into five key segments: issuance, on/off-ramps, on-chain transfers, payments, and yield generation/asset growth. Issuance is dominated by a few giants with massive scale and trust advantages, making direct competition difficult. New entrants are advised to focus on specialized infrastructure roles within this segment instead. The on/off-ramp sector faces intense competition and margin pressure on basic transaction fees, pushing service providers to expand into adjacent services for recurring revenue. The on-chain transfer segment, particularly for cross-border payments and payroll, offers significant cost advantages over traditional systems. Profits are not in the transfer itself but in the surrounding compliance, FX services, and leveraging idle funds. In payments, the core profitability lies not in consumer-facing card brands but in the backend infrastructure for issuing, clearing, and settlement. This allows players to capture reserve interest and improve capital efficiency through real-time, on-chain clearing. Finally, the asset growth/yield segment has evolved into a full-fledged on-chain asset management industry. It features layered models with specialized risk managers and offers products ranging from tokenized treasuries (RWA) to yield-bearing synthetic dollars. The future direction points towards integrating stablecoin advantages (24/7 clearing, low-cost transfers, programmable yield) into existing traditional financial infrastructure, as seen in recent acquisitions. Value is shifting downstream to the clearing/payments layer and towards compliant integration with traditional finance, including the rise of regional non-USD stablecoins.

Foresight News07/17 03:37

Understanding the Stablecoin Industry Chain in One Article: The Real Profits Are Not in the Issuance

Foresight News07/17 03:37

Altman Returns to Stanford and Admits Mistake: Outsourcing Thinking to AI, a Generation's Brains Are Atrophying

Sam Altman returned to Stanford University and admitted he was wrong about AI's impact on education. He predicted that after an initial phase of student cheating with ChatGPT, the education system would rapidly reform itself to teach more critical thinking. However, three and a half years later, while AI has advanced dramatically, teaching and assessment methods remain largely unchanged—still focused on memorization, standardized answers, and closed-book exams. Altman expressed deep concern that this disconnect is causing a "cognitive atrophy," where outsourcing thinking to AI erodes students' critical reasoning skills. Research supports this: grades have dropped in high-stakes exams after ChatGPT's introduction, and while assignment scores in writing and coding have inflated due to AI use, exam performance hasn't improved, indicating "outsourcing" rather than learning. He argues the problem lies in institutional inertia. The education system, built on the premise that tasks are time-consuming, hasn't adapted to a world where AI makes shortcuts effortless. Students are being evaluated by outdated standards, risking a generational gap in essential cognitive skills. Altman proposes a shift: education should move from testing memorization to fostering judgment, creativity, and the ability to ask better questions. Core practices like writing and programming remain vital not for their outputs, which AI can generate, but for the thinking process they train. The urgent need is to teach students not just to use AI, but to critically verify its outputs. Without reform, we risk a generation losing its capacity for independent thought.

marsbit07/16 08:19

Altman Returns to Stanford and Admits Mistake: Outsourcing Thinking to AI, a Generation's Brains Are Atrophying

marsbit07/16 08:19

Founder of Real Vision: We Are Living in the Era of Exponential Growth

Real Vision founder Raoul Pal argues that humanity is now in an "Age of Exponential Growth," a reality the human brain's linear intuition struggles to comprehend. The core drivers are the convergence of multiple, mutually-reinforcing technological curves: Artificial Intelligence, robotics, solar & storage, biotechnology, and blockchain networks. He notes that while his 2021 analysis correctly identified fiat currency debasement and assets like Bitcoin as inflation hedges, he underestimated the scale of change. Beyond monetary liquidity, a more profound force is at work: these key technologies have moved from theoretical promise into simultaneous, accelerating commercialization. They are no longer growing in parallel but are fusing, creating a "double exponential" growth curve. AI and robotics create an "artificial labor supply," breaking the cycle of debt-driven growth needed to offset aging demographics. Energy, particularly solar power guided by Wright's Law, is seeing collapsing costs, removing a key bottleneck for compute-hungry AI. Cryptocurrencies are evolving from monetary assets into the essential, programmable settlement layer for transactions between future AI agents. This fusion creates a feedback loop: AI optimizes energy grids, cheaper energy powers more compute, which builds better AI, and crypto networks settle the transactions. This leads to "Reed's Law" playing out at scale, where intelligent nodes (AI agents) form and re-form groups at machine speed, creating network value that grows at 2^n. Pal concludes that the critical question is no longer how to protect jobs from machines, but how to own a share of the machines and their foundational infrastructure. He sees the 2030-2032 period as a potential "Economic Singularity" where these trends fully merge, fundamentally transforming the economy. The data, he asserts, shows this is not a bubble but an observable, quantifiable new era.

Foresight News07/15 09:37

Founder of Real Vision: We Are Living in the Era of Exponential Growth

Foresight News07/15 09:37

Nobel Laureate Hassabis Shocks with Statement: AGI Impact Will Be 10 Times That of the Industrial Revolution

Nobel laureate and DeepMind CEO Demis Hassabis declares that Artificial General Intelligence (AGI), matching human cognitive abilities, is likely just a few years away. He states its impact could be ten times greater than the Industrial Revolution and unfold ten times faster, heralding an age of unprecedented abundance where resource scarcity may end. AGI promises transformative benefits, accelerating breakthroughs in medicine, clean energy, and advanced materials. However, its rapid development, driven by intense commercial and geopolitical competition, outpaces our understanding and increases risks in cybersecurity, bio-threats, and controlling autonomous, self-improving systems. To manage this, Hassabis proposes a U.S.-led framework: a new "Frontier AI Standards Body," modeled after organizations like FINRA. It would define "frontier-class" models through dynamic benchmarks. Labs creating such models would voluntarily submit them for a 30-day pre-release review, later formalized into mandatory assessments. This body would conduct rigorous evaluations on security and safety, update tests regularly, and, if necessary, coordinate a global slowdown in development. While technical challenges are surmountable, Hassabis emphasizes that profound economic and philosophical questions about post-scarcity societies, human values, and purpose remain. He concludes that responsibly navigating AGI's arrival is our defining task, offering a chance to shape a future of immense scientific progress and human flourishing.

marsbit07/15 03:33

Nobel Laureate Hassabis Shocks with Statement: AGI Impact Will Be 10 Times That of the Industrial Revolution

marsbit07/15 03:33

Just Now, OpenAI's Chief Futurist Departed, Once Called a Jackass by Musk

Just now, OpenAI's Chief Futurist, Joshua Achiam, announced his departure from the company via X. Having joined as a 25-year-old intern in 2017, he spent nine years at OpenAI, evolving from an AI safety research scientist to leading the Mission Alignment team. Earlier this year, that team was dissolved, and Achiam transitioned to the newly created role of Chief Futurist, positioned at the intersection of AI safety and policy to study AGI's long-term risks and opportunities. In his departure statement, Achiam called his time a "graduation," reflecting on the immense progress from AI that couldn't converse to systems solving scientific problems. He expressed optimism about a future of peace, prosperity, and possibility, closing with "To safe AGI." His tenure was notably marked by a 2018 incident where he publicly challenged Elon Musk—then still with OpenAI—on safety compromises if Musk pursued AGI at Tesla, leading Musk to call him a "jackass." This became an internal legend, with colleagues later giving him a trophy inscribed, "To safety, never stop being that jackass." Achiam's exit follows a pattern of prominent safety and alignment experts leaving OpenAI, including Jan Leike and others who joined rivals like Anthropic or started non-profits. His departure coincides with OpenAI's internal efforts to more tightly integrate its research and policy teams, and the recent hiring of former White House AI advisor Dean Ball. Achiam did not cite a specific reason for leaving but indicated it was a long-considered decision, stating the mission to ensure AGI benefits humanity can now be advanced beyond the "frontier lab's" walls.

marsbit07/08 04:00

Just Now, OpenAI's Chief Futurist Departed, Once Called a Jackass by Musk

marsbit07/08 04:00

Founder of Baixing.com: The Notion That Large Language Models Will Devour Everything, I Believe Half of It

Founder of Baixing.com: I Only Half-Believe the Saying “Large Language Models Will Devour Everything” Author: Wang Jianshuo, Founder of Baixing.com Many proclaim that large models are everything, but the author is skeptical. He argues that such sweeping claims often stem from a limited understanding of the future. Drawing parallels to past technologies like electricity and the internet—which were predicted to “devour everything” but didn’t—he suggests that large language models (LLMs) are better seen as a foundational base. Like electricity, this base is essential for modern development, but its real value emerges only when applied to specific scenarios through various “machines” or “tools” (e.g., Claude Code for programming, Claude Design for design). The author acknowledges that LLMs may indeed replace many existing software systems built on rigid rules, workflows, and forms (e.g., CRMs, SaaS tools), as these are precisely what LLMs excel at processing. However, he emphasizes that beyond software, elements like customer data, execution capabilities (e.g., booking a flight), trust, and physical-world interactions will not be “devoured.” Instead, he foresees that after streamlining existing software, LLMs will open up a larger space for innovative, next-generation applications. These new tools will likely feature fluid interfaces and rely less on fixed rules, unleashing greater creativity. The author cautions against short-sightedness, recalling how in 2004 many believed internet giants like Sina, Sohu, and NetEase would monopolize the market—only to be proven wrong by subsequent disruptions. In conclusion, while LLMs are a crucial foundation and a current focal point, the true mainstream of this wave lies in the diverse applications built atop them to solve concrete problems. The phrase “devour everything” is imprecise; the real opportunity lies in identifying and leveraging the areas where LLMs do bring transformative change.

marsbit07/07 13:54

Founder of Baixing.com: The Notion That Large Language Models Will Devour Everything, I Believe Half of It

marsbit07/07 13:54

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