# 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.

Vitalik: We Need to Create Sanctuaries, Not Fight AI

In a recent interview, Vitalik Buterin, founder of Ethereum, addresses the central anxiety of the AI era. He argues the primary risk isn't AI's intelligence, but human passivity—ceding decisions, privacy, and agency to centralized systems or "super AIs" for a sense of "disempowering safety." His solution is not to fight AI, but to build "sanctuary technologies." These are optional, non-totalizing spaces that protect users while preserving their sovereignty and privacy. Ethereum is presented as a prime example, offering a parallel financial system one can freely choose, not a fix for the old one. Reflecting on his journey from a 19-year-old on "autopilot" to an active "pilot," Vitalik notes the world reinvents itself every 5-10 years. To keep up, individuals must actively pilot their lives, not be passive passengers. He stresses that active learning vastly outperforms passive learning, even with equal time invested. His practical advice for builders and individuals in the AI age includes: periodically forcing oneself to do tasks manually to keep the mind engaged; prioritizing active learning and verification over outsourcing answers; building tools that help retain human agency; not outsourcing all strategic thinking to AI; and preserving serendipity through real-world interactions. Ultimately, Buterin redefines Ethereum/crypto's role: not to win against or fix the old world, but to provide a free, optional alternative. The core message is that as AI grows more powerful, the truly scarce resource will be proactive humans who retain their sovereignty, privacy, and capacity for independent thought. The era demands not less tool use, but more intentional and active use of technology.

链捕手4 ч. назад

Vitalik: We Need to Create Sanctuaries, Not Fight AI

链捕手4 ч. назад

Jensen Huang's CMU Speech: In the AI Era, Don't Just Watch, Build

Jensen Huang, CEO of NVIDIA and a first-generation immigrant, delivered the commencement address to Carnegie Mellon University's class of 2026. He shared his personal journey from a humble background to founding NVIDIA, emphasizing resilience, learning from failure, and the responsibility that comes with leadership. Huang framed the present moment as the dawn of the AI revolution, a shift he believes is more profound than previous computing waves. He described AI as fundamentally resetting computing—moving from human-written software to machines that understand, reason, and use tools. This will create a new industry for generating intelligence and transform every sector. While acknowledging AI's potential to automate tasks and displace some jobs, Huang distinguished between the *tasks* of a job and its core *purpose*. He argued AI will augment human capability, not replace humans. The real risk, he stated, is not AI itself, but people being left behind by those who effectively use AI. He presented AI as a generational opportunity for massive infrastructure investment—in chip factories, data centers, energy grids, and advanced manufacturing—that could re-industrialize nations like the U.S. and bridge the digital divide by making computing and intelligent tools accessible to all. Huang called for a balanced approach: advancing AI safely and responsibly, establishing prudent policies, ensuring broad access, and encouraging universal participation. He urged the graduates not to fear the future but to engage with optimism and ambition, reminding them of CMU's motto, "My heart is in the work." His core message was clear: this is their moment to actively build and shape the AI-powered future, not merely observe it.

marsbit05/11 12:14

Jensen Huang's CMU Speech: In the AI Era, Don't Just Watch, Build

marsbit05/11 12:14

Understanding CPO (Co-Packaged Optics) in One Article: Why Nvidia Is Willing to Spend $3.2 Billion on a Fiber?

NVIDIA and Corning announced a multi-year strategic partnership on May 6, 2026, with NVIDIA committing up to $3.2 billion to support Corning's U.S. expansion. This investment will triple Corning's manufacturing plants and significantly boost its optical fiber and communications production capacity. The core driver behind this massive investment is the fundamental shift from copper to optical interconnect technology within AI data centers. As GPU clusters scale, copper wires face critical limitations: severe signal attenuation over distance, high energy consumption for signal integrity, and excessive heat generation. Optical fiber, transmitting light instead of electrical signals, solves these issues with minimal loss, near-light speed, and lower power needs. The article outlines a three-stage evolution of data center interconnect: 1. **Traditional Copper Interconnects:** The mainstream solution of the 2010s, now being phased out due to scaling bottlenecks. 2. **Pluggable Optical Modules:** The current mainstream, where modules convert electrical signals to light externally. This process still introduces energy loss and latency. 3. **CPO (Co-Packaged Optics):** The next-generation technology where the optical engine is integrated directly with the GPU chip package. This drastically reduces the electrical signal travel distance to mere millimeters, slashing power consumption and latency while boosting data density. NVIDIA CEO Jensen Huang has identified CPO as an essential core technology for AI infrastructure. NVIDIA's investment signifies a strategic shift from being a buyer to actively controlling its supply chain for critical components. With demand for specialized optical fiber far outstripping supply—evidenced by soaring prices—securing long-term manufacturing capacity has become a competitive necessity. While Corning's expansion may pressure some suppliers, a projected global fiber supply gap of 5-15% over the next few years creates a significant opportunity window, particularly for Chinese manufacturers competitive in optical preforms, chips, and modules. Ultimately, NVIDIA's move is not about chasing a trend but an engineering imperative. The transition to light-based interconnects like CPO is driven by the physical limits of copper, marking a definitive step in the ongoing AI computing revolution.

marsbit05/11 10:07

Understanding CPO (Co-Packaged Optics) in One Article: Why Nvidia Is Willing to Spend $3.2 Billion on a Fiber?

marsbit05/11 10:07

After 50x Storage Surge, Justin Sun Always Looks to the Next Decade

Sun Yuchen, known for his controversial stunts like a $30 million lunch with Warren Buffett (canceled due to a kidney stone) and eating a $6.2 million duct-taped banana, is often overshadowed by a significant fact: his decade-long track record of spotting major investment trends. In 2016, he famously advised young people to invest in Bitcoin, Nvidia, Tesla, and Tencent instead of buying property. A hypothetical $20,000 investment in Nvidia and Tesla from that list would now be worth over 50 million RMB. His latest major call was on November 6, 2025, predicting a "50x storage opportunity" tied to the AI boom, which materialized with Sandisk's stock surging nearly 50-fold by 2026. Looking ahead, Sun now focuses on the next frontier: Physical AI. He identifies four key areas: 1. **Embodied AI/Robotics**: He sees this reaching its "iPhone moment," with companies like UBTech and Galaxy General leading in commercialization. 2. **Drones**: Viewed as the first commercially viable form of Physical AI, revolutionizing sectors from warfare (e.g., AeroVironment's Switchblade) to logistics. 3. **Spatial Computing**: Beyond VR, it's about AI understanding physical space, a foundational technology for robotics and autonomous systems, exemplified by Apple's Vision Pro. 4. **Space Exploration**: After a 2025 suborbital flight with Blue Origin, Sun advocates for space as the ultimate frontier, discussing blockchain's potential role in space asset management and data transactions. His investment philosophy involves betting on entire, inevitable trends rather than single companies. For robotics, he sees Tesla (the body/manufacturer) and Nvidia (the brain/AI platform) as complementary plays. In defense drones, he highlights companies making tanks obsolete (AeroVironment) and those augmenting fighter jets (Kratos). For space, he participated in Blue Origin's flight and anticipates SpaceX's potential IPO to redefine the sector's valuation. Sun Yuchen's vision frames the next two decades not as a revolution in information flow (like the internet), but in the fundamental operation of the physical world through AI-powered robots, autonomous systems, and spatial intelligence, ultimately extending human and AI activity into space. While many still focus on conventional assets, he continues to look toward the next technological horizon.

marsbit05/11 07:22

After 50x Storage Surge, Justin Sun Always Looks to the Next Decade

marsbit05/11 07:22

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

Corning, a 175-year-old glass company, is experiencing a dramatic revival as a key player in AI infrastructure, driven by surging demand for high-performance optical fiber in data centers. AI data centers require vastly more fiber than traditional ones—5 to 10 times as much per rack—to handle high-speed data transmission between GPUs. This structural demand shift, coupled with supply constraints from the lengthy expansion cycle for fiber preforms, has created a significant supply-demand gap. Nvidia has invested in Corning, along with Lumentum and Coherent, in a $4.5 billion total commitment to secure the optical supply chain for AI. Corning's competitive edge lies in its expertise in producing ultra-low-loss, high-density, and bend-resistant specialty fiber, which is critical for 800G+ and future 1.6T data rates. Its deep involvement in co-packaged optics (CPO) with partners like Nvidia further solidifies its position. While not the largest fiber manufacturer globally, Corning's revenue from enterprise/data center clients now exceeds 40% of its optical communications sales, and it has secured multi-year supply agreements with major hyperscalers including Meta and Nvidia. Financially, Corning's optical communications revenue has surged, doubling from $1.3 billion in 2023 to over $3 billion in 2025. Its stock price has risen nearly 6-fold since late 2023. Key future catalysts include the rollout of Nvidia's CPO products and the scale of undisclosed customer agreements. However, risks include high current valuations and potential disruption from next-generation technologies like hollow-core fiber. The company's long-term bet on light over electricity, maintained even through the telecom bubble crash, is now being validated by the AI boom.

marsbit05/10 07:37

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

marsbit05/10 07:37

The Company That Makes Glass for iPhones Sees Its Stock Price Soar 500% Because of AI

The iPhone screen glass supplier Corning, known for Gorilla Glass, is experiencing a meteoric rise driven by the AI boom, with its stock price increasing fivefold over two years. The catalyst is a dramatic shift in its core business. While historically reliant on telecom and display glass, its optical communications division—inventor of low-loss fiber optics—has become the growth engine, fueled by massive AI data center demand. AI training requires vastly denser "east-west" data traffic between thousands of GPUs, making traditional copper cables inadequate and creating an urgent need for high-bandwidth, low-latency fiber optics. Corning has secured at least four multi-year contracts worth tens of billions of dollars in recent months, including deals with Meta and two unnamed companies. Its optical communications revenue surged 35% in 2025. A key factor is Corning's "Springboard" plan, which boosted profits faster than sales through premium pricing, product upgrades for AI clusters, and utilizing idle capacity. Its innovations, like rollable ribbon fiber that triples capacity within existing conduits and cuts installation time, command a significant premium as they save critical months in AI factory construction. NVIDIA's recent $5 billion investment in Corning (with an option to increase to $32 billion), including nearly free shares, signals a strategic partnership. This is part of NVIDIA's broader move beyond chips to becoming an "AI factory" systems integrator, securing a trusted, high-capacity fiber optics supplier for its blueprint. Corning, once seen as a mature manufacturer, is now central to building the AI infrastructure's nervous system.

marsbit05/08 13:25

The Company That Makes Glass for iPhones Sees Its Stock Price Soar 500% Because of AI

marsbit05/08 13:25

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