# Quantum İlgili Makaleler

HTX Haber Merkezi, kripto endüstrisindeki piyasa trendleri, proje güncellemeleri, teknoloji gelişmeleri ve düzenleyici politikaları kapsayan "Quantum" hakkında en son makaleleri ve derinlemesine analizleri sunmaktadır.

Edge AI Daily Morning Report (April 12)

Edge AI Daily Brief (April 12) **Silicon Valley Front:** CoreWeave expanded partnerships with Meta and Anthropic, reflecting surging AI compute demand. Major cloud providers in China raised prices by 5%-30% due to soaring GPU costs and a 1000x increase in daily token usage since 2024. Anthropic, with annualized revenue exceeding $30B, is exploring in-house chip development to address shortages and signed a 3.5GW TPU deal with Google and Broadcom. The U.S. MATCH Act tightened semiconductor export controls, lowering technology thresholds and threatening global supply chains. ASML and Tokyo Electron saw stock declines. OpenAI addressed a third-party Axios library security issue, requiring macOS app updates. Microsoft restructured Windows Insider channels to simplify testing. Meta, Amazon, and Google invested in small modular nuclear reactors (SMRs) to power energy-intensive AI data centers. Mozilla criticized Microsoft for forcing Copilot integration in Windows 11, highlighting broader concerns about user choice and DMA compliance. Microsoft paused new carbon credit purchases due to quality concerns. **Domestic Progress:** MUJI’s Q2 revenue grew 14.8%, while Amazon launched a global smart hub in Shenzhen to streamline cross-border logistics for Chinese sellers, cutting delivery times by up to 7 days. **Open Source Trends:** Meta AI and KAIST proposed "Neural Computers" (NCs), merging computation and memory into learning runtime states. Agent AI is shifting from prediction to world-state modeling, driving edge infrastructure redesign. Quantum computing demonstrated exponential advantages in classical data processing, using under 60 logical qubits to outperform classical machines. France began migrating government systems to Linux to enhance digital sovereignty and reduce U.S. tech reliance. (Source: Edge AI Daily, Guangjiao Guancha)

marsbit04/12 00:52

Edge AI Daily Morning Report (April 12)

marsbit04/12 00:52

Will Quantum Computing Kill Bitcoin and Mining? Is This Alarmist?

The article addresses the recurring concern that quantum computing could break Bitcoin's encryption and disrupt mining. It references a Google Quantum AI white paper from March 2026, which suggests that the resources needed for a quantum computer to crack Bitcoin’s elliptic curve digital signature algorithm (ECDSA) have been reduced by about 20 times. Under ideal conditions, such an attack could theoretically derive a private key from a public key in roughly 9 minutes using 500,000 physical qubits. However, the threat is not immediate. Current quantum processors, like Google’s Willow (105 qubits) or IBM’s Condor (~1,121 qubits), are far from the scale required. The risk primarily targets transaction signatures—especially during the brief window when a transaction is broadcast but not yet confirmed, or when public keys have been historically exposed. It is estimated there is only a 10% probability of a “quantum break” by 2032. The impact on mining is considered negligible. Research indicates that quantum mining would require astronomically high qubit counts and energy—far exceeding entire national grids—making it economically and physically infeasible. The broader solution lies in post-quantum cryptography (PQC). Standards like ML-DSA and SLH-DSA are being developed, and Bitcoin improvement proposals such as BIP 360 aim to reduce quantum vulnerability by modifying transaction structures to avoid exposing public keys. While quantum computing poses a future risk to all public-key encryption systems—not just Bitcoin—the cryptocurrency ecosystem has time to adapt. Upgrades and migration to quantum-resistant algorithms are underway, ensuring the network evolves ahead of the threat.

marsbit04/11 14:40

Will Quantum Computing Kill Bitcoin and Mining? Is This Alarmist?

marsbit04/11 14:40

TechFlow Intelligence Bureau: Anthropic Mythos Triggers Financial Regulatory Alarms, WLFI Unlocks 27 Billion Tokens with 0 Dividends

TechFlow Intelligence Report: Anthropic's Mythos AI model has triggered urgent meetings between the U.S. Treasury Secretary, Fed Chair, and major bank CEOs due to its ability to autonomously find software vulnerabilities and launch attacks, elevating AI safety to a systemic financial risk. In crypto, Bitcoin surpassed $70k amid significant ETF inflows, while the World Liberty Fi (WLFI) project unlocked 27 billion tokens with a controversial profit model directing 100% of protocol profits to the Trump family, offering stakers only 2% inflationary rewards. Other key developments include Microsoft facing criticism over Copilot's reliability, Google's AI search summaries being caught providing false information, and a major AI supply chain attack affecting projects like Apifox and LiteLLM. A solo Bitcoin miner with minimal computing power defied odds to mine a full block. Regulatory shifts are accelerating with Japan classifying crypto as financial instruments and the SEC frameworks taking shape. In macro, a whale shorted $74M in oil, betting against geopolitical tensions, while Moody's warned of a potential $680B AI investment bubble among tech giants. The overarching theme is the convergence of technology, finance, and geopolitics: AI breakthroughs are now systemic threats, geopolitical events are being priced on-chain in real-time, and supply chain vulnerabilities reveal the fragility of our interconnected digital ecosystem.

marsbit04/10 12:19

TechFlow Intelligence Bureau: Anthropic Mythos Triggers Financial Regulatory Alarms, WLFI Unlocks 27 Billion Tokens with 0 Dividends

marsbit04/10 12:19

Dialogue with Bitwise: Institutions See the Current Moment as a Good Entry Point for Bitcoin, Requiring a Clear Roadmap to Address Quantum Attacks

Bitwise CIO Matt Hougan and research lead Ryan Rasmussen discuss key catalysts that could drive Bitcoin to $95,000 by 2026. They highlight three main factors: improved macro and geopolitical stability, clearer regulatory frameworks (including the potential passage of the Clarity Act), and strong institutional demand—evidenced by over $1 billion in Bitcoin ETF inflows despite recent market uncertainty. A significant point of discussion is the rising concern around quantum computing threats to Bitcoin. Matt emphasizes the need for a clear mitigation roadmap to reassure long-term investors, particularly the "OG" crypto community, whose confidence has been affected. Both note that institutional investors view current prices as an attractive entry point and are making strategic long-term investments. The conversation also covers structural shifts in crypto, such as the growing institutional adoption of vaults (a more efficient form of asset management than ETFs), tokenization, and stablecoins. They observe a disconnect between crypto-native traders, who are emotionally reactive to price swings, and institutional or AI-focused builders, who are optimistic about blockchain’s foundational technology. Finally, they discuss the emerging importance of prediction markets (e.g., Polymarket and Kalshi), which provide more accurate real-time economic forecasts than traditional sources and offer new tools for portfolio hedging and risk management.

marsbit04/10 07:45

Dialogue with Bitwise: Institutions See the Current Moment as a Good Entry Point for Bitcoin, Requiring a Clear Roadmap to Address Quantum Attacks

marsbit04/10 07:45

Pichai's 10-Year Tenure as Google CEO: Lows, Reversals, and Regrets

In a wide-ranging interview marking his 10-year anniversary as Google CEO, Sundar Pichai reflects on the company's journey in AI, from being an early innovator with the Transformer architecture to its current leadership position. Pichai addresses the "missed opportunity" narrative, explaining that internal versions of models like LaMDA (a precursor to ChatGPT) existed but were not released due to higher safety thresholds and early "toxicity" issues. He emphasizes that its research was always product-driven, and attributes OpenAI's success to a fortunate combination of factors, including identifying the coding use case early. Looking forward, Pichai asserts that search will not die but will evolve into an "agent manager," where users command AI to complete tasks. He reveals Google's massive capital expenditure, projected to reach $175-185 billion in 2026, is a testament to its belief in the AGI curve. However, he warns of a major supply crunch in 2026, citing critical bottlenecks in wafer capacity, memory, and even a shortage of electricians as fundamental constraints. Pichai also discusses Google's "hidden gems," including early-stage projects like space-based data centers, quantum computing (which he believes will excel at simulating nature), and robotics. He shares a regret: not investing more aggressively in Waymo earlier. Internally, Pichai reveals he personally spends at least an hour each week allocating scarce computing resources (TPU time), which has become the company's most critical allocation decision. He predicts that by 2027, business forecasting at Google will be fully automated by AI agents, marking a major shift in how work is done.

marsbit04/10 00:36

Pichai's 10-Year Tenure as Google CEO: Lows, Reversals, and Regrets

marsbit04/10 00:36

活动图片