# Пов'язані статті щодо Paradigm

Центр новин HTX надає останні статті та поглиблений аналіз на тему "Paradigm", що охоплює ринкові тренди, оновлення проєктів, технологічні розробки та регуляторну політику в криптоіндустрії.

Jensen Huang: Prompts are Becoming Obsolete, Loops are the New Paradigm

Jensen Huang, alongside AI leaders like Peter Norvig, Boris Cherny, and Andrew Ng, is advocating for a shift from "prompt engineering" to "loop engineering" as the new paradigm for AI development. Instead of manually crafting individual prompts, the focus is now on designing autonomous loops—systems where AI agents execute tasks, self-validate results, and iterate until completion without constant human oversight. A loop is a management framework that enables agents to operate independently. Key implementations are seen in Claude Code (with features like /loop, /goal, and /schedule) and OpenAI Codex, which employ multiple agents working in parallel within isolated environments. A core principle is the separation of roles: one agent (or model) performs the task, while an independent agent (or a smaller, separate model) validates the output to ensure objectivity. The article outlines a practical roadmap for implementing loops, starting with a "four-condition test" to assess suitability, building a minimal viable loop, and emphasizing critical pitfalls to avoid, such as lacking hard stop conditions or allowing loops to handle tasks requiring human judgment. This evolution is framed as the fourth major shift in AI interaction: from Prompt Engineering (crafting instructions) to Context Engineering (providing background information), then to Harness Engineering (building tool-enabled environments), and finally to Loop Engineering (creating self-sustaining systems). This progression reflects a consistent trend of increasing abstraction, moving human involvement from direct instruction to system design and rule-setting. The concept has academic roots in frameworks like ReAct, which formalized the "reason-act-observe" cycle. While loop engineering promises greater automation, experts caution about managing token costs and warn against outsourcing understanding—AI can assist, but deep problem comprehension remains essential.

marsbit06/25 14:26

Jensen Huang: Prompts are Becoming Obsolete, Loops are the New Paradigm

marsbit06/25 14:26

After 540,000 Lines of Code, Garry Tan Realizes the Old Game of AI Programming Is Over

YC President Garry Tan's project "Garry's List" involved over 540,000 lines of Rails code, but he concluded this approach is outdated. He argues the software industry is stuck in a "Foxconn factory" mindset: building excessive tests, validators, and control logic to constrain LLMs, which have become cheap and capable enough to work autonomously. The old paradigm treated LLM calls as expensive and code as cheap, leading to complex systems to "manage" the AI. This has now reversed. The future lies in "just-in-time software"—using natural language instructions (Markdown-based "skill packs") and minimal code, letting the AI handle the work. Tan advocates for "skillifying" workflows: after an agent completes a task, it packages the process into a reusable, tested skill pack. This shifts value from writing code to designing capabilities. For example, his agent reviewed 85 hackathon submissions in 30 minutes, a task that previously took days. He emphasizes "tokenmaxxing"—willingly spending on LLM tokens to gain a years-long competitive advantage, as costs are plummeting. The core shift is from measuring output in lines of code to focusing on clarity, taste, and judgment. The best future engineers won't write the most code, but will know what to build and how to unlock the most intelligence with the least code.

marsbit06/02 21:38

After 540,000 Lines of Code, Garry Tan Realizes the Old Game of AI Programming Is Over

marsbit06/02 21:38

New Paradigms and Investment Logic in the Era of AI+Web3

In the era of AI+Web3, a venture capital firm shares insights from reviewing numerous projects. The AI industry is seen as still early-stage, structured in a "seven-layer matrix" from power infrastructure to AI agents. Investment timing is crucial, especially in cyclical sectors like AI data centers. The integration of AI and Crypto is deemed essential for two reasons: 1) AI agents require "financial sovereignty" for micro, high-frequency, machine-to-machine transactions, and 2) blockchain provides trust and auditability to address AI "hallucinations" and ensure transparency. The core investment principle is "honesty." Teams must be genuine, not hastily assembled, and products must be substantiated by real metrics, not just flashy demos. Projects built on honesty are valued for long-term success over short-term hype. Looking ahead, the most underestimated opportunity for 2026 is the deep fusion of AI, blockchain, and entertainment. While most investment focuses on B2B infrastructure like payments and decentralized computing (DePIN), the future lies in consumer applications. As AI automates most human labor, society will shift towards leisure, creating massive demand for high-quality entertainment. AI can power immersive experiences (e.g., NPCs with autonomous consciousness in games), while blockchain secures digital ownership and economic systems. This convergence could unlock tremendous value in user time and capital within virtual worlds. *Disclaimer: The content represents the author's views for discussion only and does not constitute investment advice.*

marsbit05/21 08:56

New Paradigms and Investment Logic in the Era of AI+Web3

marsbit05/21 08:56

Leading Crypto VCs See Collective AUM Shrink: a16z Crypto Fund Management Scale Plummets 40%, Multicoin Halved

Headline: Top crypto funds including a16z Crypto and Multicoin saw their Assets Under Management (AUM) decline significantly in 2025, according to undisclosed SEC filings obtained by Fortune. Key Points: - a16z Crypto’s AUM dropped nearly 40% to $9.5 billion, partly due to returning capital to LPs at a market peak. Its first crypto fund achieved a 5.4x DPI. - Multicoin’s AUM was halved to approximately $2.7 billion, impacted by the crypto market downturn and its hybrid hedge/VC fund structure. - Pantera Capital also reduced AUM, influenced by successful exits including five portfolio company IPOs like Circle and BitGo. - Haun Ventures was the exception, with AUM growing over 30% to nearly $2.5 billion, driven by the successful acquisition of portfolio company BVNK by Mastercard. - Despite AUM contractions, major firms are raising new funds: Paradigm targeting up to $1.5 billion, a16z Crypto seeking up to $2 billion, and Dragonfly closing a $650 million fund. The data highlights the high volatility and cyclical nature of crypto VC investments, where AUM fluctuations are heavily tied to token prices and market cycles rather than solely reflecting fund performance.

marsbit04/18 02:58

Leading Crypto VCs See Collective AUM Shrink: a16z Crypto Fund Management Scale Plummets 40%, Multicoin Halved

marsbit04/18 02:58

Analyzing Noise's New Beta Version: How to 'Trade Hype' On-Chain?

Noise, a "relevance prediction market," has launched its Beta version, allowing users to trade on the perceived importance of events and cultural trends. The platform generates a "Relevance Index" by algorithmically analyzing data from social platforms like X, Reddit, and YouTube, as well as prediction markets such as Polymarket. Users can speculate on whether the热度 of a topic will rise or fall, using up to 5x leverage. Transactions in Beta are conducted with credits purchased via fiat or crypto (USDC on Ethereum/Solana), though cash-out functionality is not yet available. Founded by a young team from USC and backed by Paradigm, Noise aims to move beyond traditional prediction markets by quantifying and trading cultural relevance rather than just event outcomes. Potential use cases include hedging marketing campaigns or investment strategies. The platform plans to launch on Base with real-money trading in the coming months.

marsbit04/13 07:01

Analyzing Noise's New Beta Version: How to 'Trade Hype' On-Chain?

marsbit04/13 07:01

Hot Interaction Collection | Cascade Private Beta is Live; KARPAK Mints SBT (April 10th)

**Hot Interaction Roundup: Cascade Private Beta Launches; KARPAK Mints SBTs (April 10)** **Cascade: 24/7 Stock and Crypto Perpetual Trading** Cascade is a crypto brokerage offering a trading app that operates 24/7, enabling users to trade cryptocurrencies, U.S. stocks, and private assets via perpetual contracts. Users can link their bank accounts and manage perpetual trading, portfolio-backed loans, and asset transfers within a single margin account. The platform has launched its private beta. Users can register via its official website using their X account and Google email, and join its Discord community. **KARPAK: Tokenizing Real-World Parking with DePIN** KARPAK is a DePIN project that converts real-world parking activities into on-chain, verifiable data assets. Parking data—such as duration, location, and cost—is collected, verified, and tokenized, allowing users to earn rewards, participate in governance, or receive revenue shares. The project has now launched its Soulbound Token (SBT). Users can mint the SBT by connecting a wallet (on BNB Chain), following KARPAK’s X account, and paying a small gas fee. **Pixie Chess: Web3 Chess with Crypto Incentives** Pixie Chess is a Web3 game combining classic chess, trading card mechanics, and crypto-economic incentives. It recently secured $5.2 million in seed funding led by Paradigm. Users can log in via wallet, create a profile, and choose gameplay modes, with video tutorials available to help them get started.

Odaily星球日报04/10 02:03

Hot Interaction Collection | Cascade Private Beta is Live; KARPAK Mints SBT (April 10th)

Odaily星球日报04/10 02:03

Paradigm Builds Its Own Prediction Market Trading Terminal, Also Considering Market Making and Index Products

Paradigm, a major crypto investment firm, is developing a dedicated trading terminal for prediction markets, targeting professional traders and market makers, according to anonymous sources. Led by partner Arjun Balaji since late 2025, the initiative aligns with growing institutional interest in prediction markets, where users speculate on events like elections or asset prices. The company is reportedly considering launching an internal market-making desk and exploring the creation of a prediction market index—similar to traditional indices like the S&P 500—by aggregating multiple prediction markets into a single tradable product. Paradigm has already begun compiling prediction market data into a public dashboard. Notably, Paradigm is a key investor in Kalshi, a leading prediction market platform it helped value at $22 billion, and insists the terminal does not compete with Kalshi’s core business. This move is part of Paradigm’s broader expansion beyond crypto into AI and robotics, evidenced by its ongoing efforts to raise a new $1.5 billion fund. The firm has a history of launching in-house projects, including the crypto software company Ithaca and Tempo, a stablecoin-focused blockchain developed with Stripe.

marsbit04/02 03:11

Paradigm Builds Its Own Prediction Market Trading Terminal, Also Considering Market Making and Index Products

marsbit04/02 03:11

Stratechery Overturns the AI Bubble Theory: What Should We Use AI For?

Stratechery's Ben Thompson revises his stance on the AI bubble debate, arguing that current AI investment reflects structural growth driven by fundamental technological shifts, not speculation. He identifies three key transitions in LLM development: ChatGPT’s debut (making AI broadly usable but unreliable), OpenAI’s o1 (introducing reasoning and reliability), and the recent emergence of true Agent systems (e.g., Anthropic’s Opus 4.5 and OpenAI’s GPT-5.2-Codex). The critical innovation is the "agent harness"—a control layer that autonomously schedules models, uses tools, and verifies outcomes, reducing human intervention. This transforms AI from an assistive tool into an actionable infrastructure, enabling complex task execution. Agentic systems drive surging demand for compute, as they require repeated model calls and higher usage frequency. Thompson emphasizes that AI demand now depends not on user numbers, but on per-user agent utilization. Enterprises are adopting AI not only for efficiency gains but for structural workforce reduction, as agents amplify the impact of key employees while lowering coordination costs. He concludes that massive capital expenditures are justified by real demand, and profits will flow to integrated model-harness providers rather than commoditized standalone models.

marsbit03/17 03:57

Stratechery Overturns the AI Bubble Theory: What Should We Use AI For?

marsbit03/17 03:57

Gold Trapped in the Desert, Borderless Bitcoin: The New Paradigm of Wealth in an Era of War

Title: Gold Trapped in the Desert, Borderless Bitcoin: A New Paradigm of Wealth in Times of War The recent escalation of geopolitical tensions in the Middle East, particularly involving the U.S., Israel, and Iran, has led to a severe disruption at Dubai International Airport—a critical global hub for trade and logistics. This crisis has exposed a significant vulnerability in the traditional financial system: the complete paralysis of physical gold transportation. Gold, often regarded as the ultimate safe-haven asset, relies on an intricate and high-security logistics network, including specialized transport, armed guards, and multi-million-dollar insurance policies. However, during times of war, this system collapses. Flights are grounded, airspace becomes unsafe, and gold suppliers are unable to move their inventories. As a result, gold traders in Dubai are forced to sell at discounts of up to $30 per ounce to avoid mounting storage costs, insurance premiums, and opportunity costs—highlighting the irony of a避险资产 becoming a financial burden. In contrast, Bitcoin demonstrates unparalleled resilience in such crises. While its price may experience volatility during geopolitical turmoil, its true value lies in its non-physical, censorship-resistant nature. Unlike gold, Bitcoin does not require physical transport, is not subject to confiscation at borders, and can be transferred across the globe instantly with just a 12- or 24-word seed phrase. This makes it an ideal store of value for individuals and businesses caught in conflict zones, where traditional financial systems and physical assets fail. The Dubai gold crisis underscores a broader shift in the paradigm of wealth preservation. Physical gold, despite its historical prestige, is constrained by its materiality and dependence on centralized infrastructure. Bitcoin, as a decentralized digital asset, offers a solution that transcends borders, governments, and physical limitations. In an era of increasing geopolitical instability, the ability to carry one’s wealth seamlessly and securely—without the constraints of weight, logistics, or censorship—positions Bitcoin as the modern embodiment of financial sovereignty.

marsbit03/13 08:11

Gold Trapped in the Desert, Borderless Bitcoin: The New Paradigm of Wealth in an Era of War

marsbit03/13 08:11

a16z Crypto Fund Shrinks by 55% but Still Raising Capital; As Paradigm Shifts to AI, Who Will Guard Web3?

a16z crypto, the blockchain-focused arm of Andreessen Horowitz, is raising its fifth fund targeting approximately $2 billion, according to Fortune. This is significantly less than its 2022 fund of $4.5 billion. Led by Chris Dixon, a16z crypto remains fully committed to blockchain investments, even as the market has cooled from recent highs and some major players are diversifying. In contrast, other prominent crypto VCs are shifting focus. Paradigm is reportedly raising a new fund that will include AI and robotics, and Multicoin Capital's co-founder has left to explore other tech sectors. Despite this industry divergence, a16z continues to invest based on Dixon's "read, write, own" philosophy, which posits blockchain as the foundation for a decentralized internet. While some of its high-profile bets, like the decentralized social media project Farcaster, have struggled, a16z maintains that the current "financial era" of crypto is a necessary foundational phase. The firm has recently invested in projects like Bitcoin staking protocol Babylon, prediction market tool Kairos, and Solana staking protocol Jito.

marsbit03/05 04:11

a16z Crypto Fund Shrinks by 55% but Still Raising Capital; As Paradigm Shifts to AI, Who Will Guard Web3?

marsbit03/05 04:11

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