# Сопутствующие статьи по теме Innovation

Новостной центр HTX предлагает последние статьи и углубленный анализ по "Innovation", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

Dialogue with MIT Economist: Don't Panic About 'AI Doomsday Theory', Verification Capability is a Scarce Resource

In a discussion with MIT economist Christian Catalini, the core argument is that the true scarcity in the AI economy is not intelligence but verification—the human capacity to check, judge, and confirm the correctness of AI outputs. Catalini explains that while automation costs are falling exponentially, verification remains constrained by human biological limits, at least for now. Entry-level jobs are most vulnerable, as AI can easily replicate tasks that rely on measurable, existing knowledge. However, even top experts are inadvertently training their own replacements by generating data that AI learns from—a phenomenon termed the "coder’s curse." Three roles will remain critical in the AI-driven economy: - **Directors**: Those who set intentions and steer AI agents toward goals, dealing with "unknown unknowns." - **Meaning Makers**: Individuals who create cultural, social, or narrative value based on human consensus and status games. - **Liability Underwriters**: Top-tier experts (e.g., lawyers, doctors) who assume responsibility for edge cases and final validation. Catalini advises against panic and encourages experimentation with AI tools to automate current roles and discover new opportunities. He emphasizes that uniquely human traits—like judgment in unmeasurable contexts—will retain value, and crypto-based verification infrastructure may play a key role in ensuring authenticity. The transition will be disruptive, but leveraging AI can amplify human potential exponentially.

marsbit03/28 08:06

Dialogue with MIT Economist: Don't Panic About 'AI Doomsday Theory', Verification Capability is a Scarce Resource

marsbit03/28 08:06

US Banking Regulator Chief Gould: Opening Doors to Crypto, Also Drawing Fire

Jonathan V. Gould, the head of the U.S. Office of the Comptroller of the Currency (OCC), is driving a significant shift in banking regulation by advocating for the integration of cryptocurrency and digital asset activities into the federally supervised banking system. With a background spanning Congress, financial consulting, and crypto industry roles—including a stint as chief legal officer at Bitfury—Gould believes that banks should not exclude new technologies but instead manage risks through clear, legally grounded, and technologically neutral supervision. Under his leadership, the OCC has issued interpretive letters allowing national banks to engage in certain crypto activities like digital asset custody, stablecoin services, and distributed ledger participation. Gould has also overseen conditional approvals for crypto firms such as Circle and Ripple to become national trust banks, bringing them under federal oversight. His approach emphasizes that digital assets should be regulated within the banking system to ensure safety, transparency, and compliance—not in a regulatory vacuum. However, Gould faces criticism from both traditional banking groups, who fear regulatory arbitrage and increased systemic risk, and Democratic lawmakers like Elizabeth Warren, who question potential conflicts of interest and the independence of the licensing process. Despite the pushback, Gould maintains that his strategy is about modernizing regulation—not eliminating risks, but managing them within a structured framework. His actions position him as a central figure in shaping how the U.S. financial system adapts to technological innovation.

marsbit03/26 08:23

US Banking Regulator Chief Gould: Opening Doors to Crypto, Also Drawing Fire

marsbit03/26 08:23

a16z Crypto Operating Partner: Wall Street Is Undergoing Its Biggest Infrastructure Upgrade in 30 Years

Wall Street is undergoing its largest infrastructure upgrade in 30 years by migrating to on-chain systems, moving beyond mere blockchain exploration. This shift is driven by the promise of significantly faster capital movement, similar to the electronic trading revolution of the 1990s which reduced costs, expanded participation, and increased market size. Tokenization—digital representations of real-world assets like Treasuries and stocks on blockchain—enables 24/7 markets, instant settlement, fractional ownership, and global accessibility. Major institutions are already adopting this: DTCC plans to tokenize U.S. Treasuries by 2026, NYSE is launching a platform for on-chain stock trading, and Tradeweb has executed real-time blockchain-based Treasury trades. The current financial system’s inefficiencies—high fees, slow settlement, and intermediary dependencies—create opportunities for disruption. Smart contracts and atomic settlement eliminate these frictions, turning existing profit margins into avenues for innovation. Regulatory clarity, such as the CLARITY Act, is further accelerating this transition. Established institutions are not competitors but potential customers for new infrastructure products. Founders have a window to build the next generation of financial services atop this emerging regulated, institutional-grade framework. The outcome will be a larger, more liquid, and accessible global market.

marsbit03/26 03:59

a16z Crypto Operating Partner: Wall Street Is Undergoing Its Biggest Infrastructure Upgrade in 30 Years

marsbit03/26 03:59

OpenAI Bets on 'Robot Army': 23-Year-Old Prodigy Wins Favor from Sam Altman

While OpenAI adjusts its video strategy, Sam Altman is setting his sights on the more ambitious field of "multi-agent systems." According to The Wall Street Journal, OpenAI has secretly invested in Isara, an AI startup founded by 23-year-old researchers Eddie Zhang and Henry Gasztowtt. Despite being established only in June last year in San Francisco, Isara has already recruited over a dozen top researchers from Google, Meta, and OpenAI itself, forming a highly skilled technical team. Isara’s core vision is to develop a system that enables thousands of AI agents to collaborate efficiently. While individual AI assistants are powerful, they often struggle with large-scale industrial challenges such as biotech R&D or complex financial modeling. Isara aims to solve this by creating a framework where diverse AI agents can communicate, align goals, share data, and tackle interconnected problems—functioning like a coordinated "robot army." This multi-agent approach is seen as a critical step toward Artificial General Intelligence (AGI). OpenAI’s endorsement signals industry recognition of distributed intelligence. In biopharma, the system could simulate thousands of protein-folding pathways, with specialized agents identifying patterns. In finance, it could perform real-time stress tests using global market data. Led by young innovators, this shift suggests the next breakthrough in AI lies not in building larger models, but in enabling smarter collective intelligence.

marsbit03/26 02:32

OpenAI Bets on 'Robot Army': 23-Year-Old Prodigy Wins Favor from Sam Altman

marsbit03/26 02:32

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