2026-06-09 Вторник

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The Body is the Ultimate Cold Wallet: Don't Lose the Private Key to Your Health

English Summary: The article argues that one's physical body is the ultimate "cold wallet" – the foundational asset upon which all other investments and achievements depend. Drawing parallels between financial portfolio management and biohacking, the author details a comprehensive, data-driven protocol to optimize health and cognitive performance for high-stakes decision-makers. The system is built on four pillars of biometric monitoring: continuous glucose monitoring (CGM) to stabilize energy, a WHOOP band to track recovery via HRV, a body composition scale to audit visceral fat, and genetic testing to understand inherent strengths and weaknesses. The core strategies focus on fixing metabolic inflexibility through intermittent fasting and a low-sugar diet, and combating the "liquidity crisis" of sedentary life with a standing desk and under-desk treadmill. The author also outlines a precise "supplement Stack" investment portfolio, categorized into defensive infrastructure (e.g., Omega-3s, anti-inflammatories), performance enhancers for mitochondrial function (e.g., ALA, CoQ10), and maintenance tools for sleep and gut health. The execution protocol involves data-driven eating to flatten glucose curves and a structured exercise regimen combining Zone 2 cardio with strength training. The ultimate goal is not just longevity but ensuring the brain and body operate at all-time highs (ATH) to consistently capture alpha in all aspects of life. The best foundational asset is oneself.

marsbit01/23 01:34

The Body is the Ultimate Cold Wallet: Don't Lose the Private Key to Your Health

marsbit01/23 01:34

The Wolf Is Really Coming? Quantum Computing Threat to Bitcoin Is 'No Longer Theoretical', Analyst: 20-50% of Bitcoin Has 'Security Risks'

The threat of quantum computing to Bitcoin is accelerating from theoretical to practical, with analysts warning that 20-50% of Bitcoin’s supply—amounting to 4 to 10 million BTC—is vulnerable to quantum attacks. Coinbase’s research head David Duong highlighted that 32.7% of Bitcoin (6.51 million BTC) is at risk due to weak cryptographic practices, such as address reuse. Institutional investors are reacting: Jefferies’ Christopher Wood removed Bitcoin entirely from his portfolio, reallocating to gold, citing quantum computing as an existential risk to Bitcoin’s value proposition. Quantum computers could break Bitcoin’s elliptic curve digital signature algorithm (ECDSA), potentially exposing private keys. While current quantum systems are far from the estimated 13 million qubits needed to crack Bitcoin’s encryption, experts disagree on the timeline—some say 5 years, others 20-40 years. The Bitcoin community faces a governance dilemma: whether to preemptively destroy vulnerable coins or risk large-scale theft. Developers are proposing quantum-resistant upgrades, but implementation could take 5-10 years. Despite the concerns, some institutions like Harvard and Morgan Stanley continue to increase Bitcoin exposure, reflecting divergent risk assessments. The market is already pricing in these fears, with Bitcoin underperforming gold significantly.

华尔街日报01/23 01:11

The Wolf Is Really Coming? Quantum Computing Threat to Bitcoin Is 'No Longer Theoretical', Analyst: 20-50% of Bitcoin Has 'Security Risks'

华尔街日报01/23 01:11

Understanding Jensen Huang's Physical AI: Why Is Crypto's Opportunity Also Hidden in the 'Nooks and Crannies'?

Jensen Huang's recent speech at Davos signals a pivotal shift in AI: the transition from the training-focused "brute force" era of AI 1.0 to the new paradigm of "Physical AI" and inference. This marks the next phase after Generative AI, focusing on real-world application and embodiment. Physical AI aims to solve the "last-mile" problem of AI: moving from digital intelligence to physical action. While LLMs have consumed vast digital data, they lack understanding of the physical world—like how to twist open a bottle cap. Physical AI requires three core capabilities: 1. Spatial Intelligence: AI must perceive and interpret 3D environments in real-time, understanding object properties, depth, and interaction dynamics. 2. Virtual Training Grounds: Systems like NVIDIA’s Omniverse enable simulation-to-real (Sim-to-Real) training, allowing robots to learn through vast virtual iterations without costly physical failures. 3. Electronic Skin and Touch Data: Sensors that capture tactile feedback—temperature, pressure, texture—are critical. This data is a new, untapped asset class. This shift opens significant opportunities for Crypto and Web3 ecosystems. DePIN networks can crowdsource hyperlocal spatial data from "every corner" of the world through token incentives. Distributed computing networks can provide edge-based rendering and inference power for low-latency physical responses. Tokenized data ownership and privacy-preserving sharing mechanisms can enable the scalable, ethical collection of sensitive tactile data. In short, Physical AI isn’t just the next chapter for Web2—it’s a catalyst for Web3 domains like DePIN, DeData, and decentralized AI.

marsbit01/23 00:35

Understanding Jensen Huang's Physical AI: Why Is Crypto's Opportunity Also Hidden in the 'Nooks and Crannies'?

marsbit01/23 00:35

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