# Сопутствующие статьи по теме Automation

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

Steam, Steel, and Infinite Intelligence

Steam, Steel, and Infinite Intelligence Each era is defined by its core technological material: steel forged the Gilded Age, semiconductors enabled the digital age, and now, AI arrives as infinite intelligence. History shows that those who master the material define the era. Today, AI often resembles a supercharged search engine, but we are in an uncomfortable transition period. The future of knowledge work can be envisioned through historical metaphors. At the individual level, AI transition is like moving from a bicycle to a car. Top practitioners, like programmers, are already becoming managers of infinite intelligence, achieving 30-40x productivity gains. For others to follow, two key problems must be solved: fragmented context across dozens of tools and a lack of verifiability for general knowledge work. Once these are addressed, billions will move from "bicycles" to "cars" and eventually to "autopilot." For organizations, AI is the new steel and steam. Companies historically lose efficiency as they scale, burdened by human-scale communication. AI, like steel, can provide coherent context and decision-making support, allowing companies to scale without decay. Like the steam engine, it will enable a complete reimagining of workflows beyond simply replacing old tools, moving from water wheels to powerful, always-on intelligence. For the entire economy, this shift mirrors the transition from a human-scale city like Florence to a modern megacity. The knowledge economy, which constitutes nearly half of US GDP, still operates on a human scale. With AI, we will build "Tokyo"—organizations of thousands of humans and AIs, operating across time zones, synthesizing decisions with precise human input. This will be faster and more leveraged, though initially disorienting. We are still in the "water wheel" stage of AI, plugging chatbots into human-designed workflows. The challenge is to stop looking through the rearview mirror and start building the next skyline with the new materials of infinite intelligence.

深潮12/29 04:47

Ozak AI Outperforms the Entire Market at $0.014 — Investors Aren’t Waiting for the Recovery; They’re Buying the Future Now

Ozak AI is defying the sluggish crypto market of late 2025, rapidly raising over $5.12 million in its presale with more than 1.05 billion tokens sold at $0.014. Unlike many projects waiting for a market recovery, Ozak AI is generating its own momentum, with investors treating it as a crucial long-term investment in AI and blockchain's future. Its presale success, bolstered by partnerships and a target listing price of $1.00, highlights strong belief in its advanced automation and predictive intelligence tools. Investors are seizing this undervalued opportunity for exposure to AI-driven growth without waiting for broader market signals.

TheNewsCrypto12/28 06:57

Ozak AI Outperforms the Entire Market at $0.014 — Investors Aren’t Waiting for the Recovery; They’re Buying the Future Now

TheNewsCrypto12/28 06:57

The AI Era: When the 'Gap Between Human and Dog' Shrinks to the 'Gap Between Humans'

The article discusses how AI era is narrowing the cognitive gap between humans, using a hypothetical scoring system to illustrate the idea. Originally, the difference between individuals (e.g., a elementary student at 10 points vs. Einstein at 100) could be as vast as the difference between humans and dogs. However, with the advent of AI, which is estimated to contribute significantly to human capability (e.g., 80 points in the near term), even a less knowledgeable person equipped with AI can approach the performance of an expert. While some argue that skilled AI users (e.g., prompt engineers) may widen the gap initially, the author believes this is temporary. As AI becomes more intelligent and user-friendly, the barrier to leveraging its full potential will lower. Eventually, AI could reach a point where it contributes so much (e.g., 1000 points) that individual human differences become negligible—like two fighters using rocket launchers, where their original martial arts skills matter little. In the long run, AI will reduce relative disparities between people, even if absolute gaps persist, making expertise more accessible and diminishing the advantage of innate or highly trained human intelligence.

深潮12/24 02:19

The AI Era: When the 'Gap Between Human and Dog' Shrinks to the 'Gap Between Humans'

深潮12/24 02:19

The AI Era: When the 'Human-Dog Gap' Shrinks to the 'Human-Human Gap'

In the AI era, the gap between humans is narrowing from what was once likened to the difference between "humans and dogs" to a more comparable "human-to-human" difference. The author uses a hypothetical scoring system: a child scores 10 points, a PhD 60, a professor 75, and Einstein 100. With AI estimated at 40 points in cognitive value (effectively 80 when considering its generalist nature), a child with AI reaches 90 points, while Einstein with AI reaches 180—reducing their relative gap from 10x to 2x. Some argue that AI proficiency varies—novices may only leverage 20% of AI’s potential, while experts extract 100%, widening absolute gaps (e.g., child+AI novice=30 vs. Einstein+AI expert=200). However, the author contends this is temporary. As AI evolves, it will become smarter and easier to use, reducing the skill threshold. Future AI might score 240+ points, with humans consistently utilizing 80-120% of its potential. Eventually, a child with advanced AI could reach 1010 points, and Einstein 1100—a negligible 1.1x difference. The core idea: while current AI proficiency disparities may temporarily widen gaps, AI’s inevitable progress in intelligence and usability will democratize access, diminish human cognitive inequalities, and make individual expertise less impactful—like everyone having access to the same powerful tool.

marsbit12/23 03:32

The AI Era: When the 'Human-Dog Gap' Shrinks to the 'Human-Human Gap'

marsbit12/23 03:32

Musk Explains Again: Why No One Will Worry About Money in the Future

In a recent podcast interview, Elon Musk reiterated his view that in the future, people will no longer need to worry about money or feel compelled to work for survival. He predicts that AI and robots will eventually take over most production and service tasks, enabling the provision of essential goods and services with minimal human involvement. As a result, humans will have significantly more free time, and work will become optional—driven by personal interest rather than economic necessity. Musk also clarified the distinction between his predictions and his personal aspirations, stating, "What I predict is not necessarily what I want." He emphasized that his forecasts are based on technological and economic trends rather than his own ideal vision of the future.

marsbit12/12 08:04

Musk Explains Again: Why No One Will Worry About Money in the Future

marsbit12/12 08:04

A16z Investor Partner: By 2026, Venture Capital Will Absorb Private Equity, Main Reason: AI Enables Cost Reduction and Efficiency Improvement

Troy Kirwin, an investor partner at A16z, argues that AI is rapidly erasing the traditional boundaries between venture capital (VC) and private equity (PE). Historically, these two sectors operated in separate worlds: VC in San Francisco focused on high-growth tech and large markets, while PE in New York prioritized stable cash flows and human-intensive services. AI is now the catalyst for convergence. Previously, B2B startups struggled to penetrate mid-market—industries like field services, IT outsourcing, and accounting—due to thin margins, high labor costs, and low IT budgets. AI is making these industries ripe for disruption and reinvention. Kirwin outlines three key collision paths: 1) PE funds are becoming channel partners, deploying AI across their portfolios; 2) PE portfolios are serving as "idea menus" for new startups; and 3) VC-backed AI platforms are moving beyond software to acquire traditional service businesses, enabling end-to-end integration, higher margins, and AI-native transformation. The conclusion is that the two distinct financial universes are merging.

marsbit12/12 03:54

A16z Investor Partner: By 2026, Venture Capital Will Absorb Private Equity, Main Reason: AI Enables Cost Reduction and Efficiency Improvement

marsbit12/12 03:54

Verse8's Self-Description: How to Support Creative Expression in the AI Era

Verse8 is an AI-native creation layer that transforms ideas into interactive games and stories, where every creation can be owned, remixed, and accumulate value over time. Unlike OpenAI (chat), Runway (video), or Stability (image), Verse8 focuses on interactive content as the new expressive medium, starting with games as its first vertical. The platform was built to overcome the high barriers of traditional interactive content creation—long cycles, high costs, and complex coordination across coding, art, and design. By collapsing the entire production process into a single prompt, Verse8 eliminates creative friction, automates invisible work, and enables anyone to express ideas interactively. Its core architecture consists of two layers: - **Agent8**: A multi-agent system that acts as a full production team—handling art, code, design, and testing through a single prompt. It includes an AI-native web engine with templates (FPS, RPG, etc.), automated asset generation (2D/3D optimization, animation, audio), and built-in infrastructure (Git, servers, analytics, payments). - **Verse8 Ecosystem**: A global deployment network where creators can instantly publish, share, and remix content. Integrated with Story Protocol, it enables on-chain IP ownership and programmable rights, allowing derivative works while rewarding original authors. Verse8 aims to democratize creativity—enabling everyone to create, not just consume. It supports instant world-building, prompt-based creation, and collaborative value growth through remixing and shared ownership. Learn more: Website: https://verse8.io X: https://x.com/Verse_Eight Discord: https://discord.gg/verse8-official

深潮12/10 22:52

Verse8's Self-Description: How to Support Creative Expression in the AI Era

深潮12/10 22:52

When Curators Become a Risk Variable in DeFi Lending, How Can Algorithms Reshape the Market?

The article argues that the current "Curator" model in DeFi lending, as seen in protocols like Morpho and Euler, reintroduces human moral risk and inefficiency. It traces the evolution of lending markets, highlighting that early pooled models (e.g., Compound, Aave) sacrificed lender risk control for borrower convenience, while isolated markets (e.g., Morpho Blue) fragmented liquidity. Curator vaults attempted to bridge this gap but reintroduced trust assumptions and discretionary decision-making. The author proposes a new paradigm inspired by traditional order books: a two-tier architecture separating risk definition from order matching. In this model (exemplified by Avon), lenders deposit into isolated, parameter-defined "strategies" (retaining full risk control), while a shared order book algorithmically aggregates and routes borrower requests across compatible strategies atomically. This eliminates the need for human curators, enhances transparency, and improves liquidity utilization. The approach also benefits RWA by allowing compliance at the strategy level while pooling global liquidity. Built on high-performance chains like MegaETH, this CLOB-based system aims to automate lending coordination without sacrificing lender autonomy or borrower experience.

比推12/10 14:51

When Curators Become a Risk Variable in DeFi Lending, How Can Algorithms Reshape the Market?