# Technology Related Articles

HTX News Center provides the latest articles and in-depth analysis on "Technology", covering market trends, project updates, tech developments, and regulatory policies in the crypto industry.

Bitcoin advocacy group to join US State Department’s ‘digital freedom’ program

The US State Department has launched the Freedom Tech Excellence Program (FTEP) to advance diplomatic efforts on digital freedom and freedom of expression. The Bitcoin Policy Institute (BPI) has been named a founding partner in the program, alongside companies like Palantir Technologies and the Victims of Communism Memorial Foundation. Through FTEP, BPI employees will work with State Department experts to defend digital freedoms globally, focusing on issues such as online freedom of expression, privacy-enhancing technologies, countering digital surveillance, and responsible AI governance. Since its founding in 2021, the BPI, a non-partisan research and advocacy group, has supported efforts to codify former President Donald Trump's executive order for a strategic crypto reserve into law, though Congress had not passed related legislation as of the report.

cointelegraph2 days ago 10:47

Bitcoin advocacy group to join US State Department’s ‘digital freedom’ program

cointelegraph2 days ago 10:47

Strategy-led group pledges $15M to quantum-proof Bitcoin network

A group of major financial and cryptocurrency firms, led by Michael Saylor's MicroStrategy, has formed the Bitcoin Security Consortium and pledged $15 million over three years to fund efforts to quantum-proof the Bitcoin network. Founding members include Anchorage Digital, ARK Invest, BlackRock, Block, Blockstream, Coinbase, Fidelity Digital Assets, and Galaxy. The consortium's work will be coordinated by Mike Schmidt of the non-profit Brink. The initiative addresses growing concerns about the threat quantum computers could pose to Bitcoin's cryptographic security, though timelines for such a threat vary widely among experts—from 3-5 years to 20-40 years. The funding aims to support developers working on quantum-resistant solutions for the long-term security of the network.

cointelegraph2 days ago 09:23

Strategy-led group pledges $15M to quantum-proof Bitcoin network

cointelegraph2 days ago 09:23

Intel Data Center Revenue Soars 59%, CEO Chan: CPU Demand 'Taking Off', Supply Can't Keep Up

Intel Reports Strong Q2 2026 Results, Led by Surging Data Center Revenue Intel demonstrated a robust recovery, posting second-quarter revenue of $16.1 billion, a 25% year-over-year increase—its highest growth rate since 2011. On a non-GAAP basis, net income was $2.2 billion, with earnings per share of $0.42, far exceeding analyst expectations. A key highlight was the performance of the Data Center and AI (DCAI) business, where revenue soared 59% to $6.3 billion, significantly outperforming overall company growth. CEO Patrick Gelsinger noted that "CPU demand is taking off" in the data center segment, with demand outpacing the company's growing supply capacity. This supply-demand dynamic has granted Intel renewed pricing power, with server CPU prices in China reportedly rising over 40% since the start of 2026. The company has secured ten long-term supply agreements with customers. The Client Computing Group (CCG), which includes PC chips, saw revenue grow 13% to $8.9 billion. Intel Foundry revenue grew 31% to $5.8 billion and achieved a milestone by signing its first named external customer, cybersecurity firm Fortinet. The company reported strong progress on its Intel 18A manufacturing process, with yields improving approximately 7% per month. To support future growth, Intel raised its full-year 2026 capital expenditure forecast from $18 billion to $20 billion, including a $5.7 billion investment to expand manufacturing capacity for its Xeon processors. For the third quarter, Intel provided optimistic guidance, projecting revenue between $15.8 billion and $16.8 billion and non-GAAP EPS of approximately $0.38, both above analyst estimates. Following the earnings release, Intel's stock rose about 11% in after-hours trading.

链捕手07/24 07:07

Intel Data Center Revenue Soars 59%, CEO Chan: CPU Demand 'Taking Off', Supply Can't Keep Up

链捕手07/24 07:07

AI is Turning Nuclear Power from a 'National Project' into a Replicable Commercial Product

Artificial intelligence is transforming nuclear energy from a "national-level project" into a replicable commercial product. Traditionally, nuclear power has been characterized by massive investments, long timelines, and complex regulations, making it inaccessible to most private enterprises. However, the emergence of AI data centers is shifting this dynamic. Major tech companies like Microsoft, Google, and Amazon, urgently needing large-scale, stable, and low-carbon power, are becoming powerful commercial buyers for nuclear energy. This new demand is driving several key developments. While large-scale nuclear plants remain national infrastructure, small modular reactors (SMRs) are advancing toward commercial validation, offering a more suitable scale for data centers, industrial parks, and energy-intensive industries. Furthermore, innovations in passive safety systems, modular manufacturing, and improved regulatory efficiency are helping to standardize nuclear technology into a more replicable industrial product. The value of nuclear energy is also expanding beyond electricity generation to include applications like industrial heat, hydrogen production, seawater desalination, and power for heavy manufacturing, supported by an entire supply chain. Challenges such as construction delays, cost overruns, waste management, fuel supply, regulation, and project financing remain significant risks. Fusion energy also still requires considerable time for commercialization. AI has not instantly matured nuclear technology, but it is providing unprecedented commercial demand, capital support, and concrete orders. Over the next decade, nuclear energy may become one of the most underestimated yet critical infrastructures supporting the AI industry.

链捕手07/24 06:56

AI is Turning Nuclear Power from a 'National Project' into a Replicable Commercial Product

链捕手07/24 06:56

Misjudged A-Shares: Resilience, Expectations, and Confidence

China's A-share market recently faced selling pressure, especially in tech sectors, initially triggered by a global tech sell-off that began in South Korea. However, the article argues this is a case of "mistaken injury" and highlights the market's underlying resilience. This resilience stems from three main pillars: **1) Tech Sector Fundamentals:** Unlike Korea's market dominated by a few memory chip stocks, China's tech sector is diversified across computing, communications, electronics, and semiconductors, supported by dual narratives of global AI supply chains and domestic substitution. Core areas like optical modules and fiber optics continue to show strong earnings growth. **2) "National Team" Support:** State-backed institutions and large corporations have made significant market purchases and announced buybacks, providing liquidity and signaling confidence. This is seen as a stabilizing policy signal, often associated with market bottoms. **3) Broader Market Pillars:** Other major sectors are showing endogenous recovery momentum. Consumer stocks benefit from stabilizing CPI and signs of sector recovery (e.g., liquor price hikes). Cyclical sectors like aluminum have high earnings, potential price increases due to tight supply, and low valuations. The financial sector offers stable dividends and low valuations. The conclusion is that the sell-off was driven by external contagion, not a collapse in fundamentals. With strong policy support and recovering momentum across key sectors, the A-share market possesses the toughness to regain stability.

marsbit07/22 02:26

Misjudged A-Shares: Resilience, Expectations, and Confidence

marsbit07/22 02:26

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

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

Raising $400 Million in Funding, Shenzhen's Embodied AI Unicorn is Heading for an IPO

LimX Dynamics, a leading Chinese humanoid robotics company based in Shenzhen, has raised nearly $4 billion in total funding following a $2 billion Pre-IPO round. This latest round, backed by prominent global investors including IDG Capital, Lens Technology, GGG Group, and Redstone VC, values the company at approximately 150 billion yuan. Founded in 2022 by Southern University of Science and Technology professor Zhang Wei, the company has developed a full-stack, self-developed "brain system" for humanoid robots. Its three-layer technical architecture (System 0 for locomotion, System 1 for specific skills, and System 2 for cognitive reasoning) powers a diverse product matrix, including the LimX Luna for commercial service and the LimX Oli R&D platform. Often compared to its American counterpart Figure, LimX Dynamics differentiates itself by focusing on "serving people, not processes" and prioritizing commercial service scenarios over factory applications first. The company has secured thousands of pre-orders, with over half coming from overseas markets, and has begun initial deliveries. With a distinctly global investor base and strategy, LimX Dynamics aims to leverage China's manufacturing advantages for worldwide competition. Having completed its shareholding reform in March 2026, the company is now steadily advancing its IPO plans, positioning itself as a key contender in the intensifying race to go public within the humanoid robotics sector.

marsbit07/14 01:44

Raising $400 Million in Funding, Shenzhen's Embodied AI Unicorn is Heading for an IPO

marsbit07/14 01:44

An AI Uncovers a 15-Year-Old Linux Vulnerability in 5 Seconds, While Another AI Turns an Innocent Journalist into a Car Thief Suspect

AI Discovered a 15-Year-Old Linux Bug but Also Wrongly Targeted a Journalist An AI security tool, VEGA, identified "GhostLock" (CVE-2026-43499), a severe Linux kernel vulnerability hidden for 15 years since 2011, affecting nearly all distributions. Exploiting a flaw in the kernel's lock management, an attacker could gain root privileges in about 5 seconds from a standard user account. This demonstrates AI's growing ability to find complex bugs humans missed. In a stark contrast, another AI system caused a dangerous police confrontation. Automotive journalist Joel Feder was surrounded by four police cars after Flock Safety's automated license plate recognition (ALPR) cameras mistakenly flagged his vehicle. The error originated from a typo in a national stolen vehicle database ("34 03 DTM" was entered as "34 DTM"). Feder's manufacturer plate, "34 10 DTM," was misread due to its small font, triggering a nationwide alert. Police, with hands on holsters, detained Feder for an hour before resolving the mistake. The two cases highlight the dual nature of AI in security. On one hand, it can efficiently uncover critical software vulnerabilities, enhancing safety. On the other, it can exponentially amplify human errors—like a simple data entry mistake—when deployed in automated, large-scale surveillance systems without adequate human oversight. The incident underscores the critical need for robust review mechanisms in AI-driven decision systems, especially in high-stakes areas like law enforcement. The greatest vulnerability in the AI era may not be in code, but in the unchecked delegation of final judgment to automated processes.

marsbit07/13 12:25

An AI Uncovers a 15-Year-Old Linux Vulnerability in 5 Seconds, While Another AI Turns an Innocent Journalist into a Car Thief Suspect