# Future Articoli collegati

Il Centro Notizie HTX fornisce gli articoli più recenti e le analisi più approfondite su "Future", coprendo tendenze di mercato, aggiornamenti sui progetti, sviluppi tecnologici e politiche normative nel settore crypto.

Interview with Macro Master Raoul Pal: The Economic Singularity is Approaching, Don’t Get Off the Ride in the Next Four Years

Interview with macro expert Raoul Pal discusses the approaching "economic singularity," where AI-driven growth outpaces traditional economic systems. He explains the unprecedented scale of the AI race between the US and China, arguing capital will continue flooding this sector as neither side can afford to stop. Pal sees this as a catalyst for cryptocurrency, as AI agents will operate on-chain, creating an "infinite TAM" for crypto networks. He views the recent crypto downturn as a normal bull market correction, advocating for a long-term "buy and hold" strategy over trying to time the market. Key investments include Layer 1 smart contract platforms like Ethereum, Solana, and Sui, which he believes will capture most value due to their foundational role. He also sees potential in privacy coins like Zcash and a future resurgence for high-end NFTs as digital trophy assets. Pal emphasizes that while AI stocks are hot, crypto offers superior asymmetric returns. He outlines a bullish case for 2026-2027 based on institutional adoption, pro-regulation, increased global liquidity, and crypto's current undervaluation relative to assets like the Nasdaq. His core advice: accumulate crypto assets during dips and hold for the long term, as the shift towards a digital, AI-agent-driven economy is inevitable.

链捕手5 h fa

Interview with Macro Master Raoul Pal: The Economic Singularity is Approaching, Don’t Get Off the Ride in the Next Four Years

链捕手5 h fa

Three Years Later: Looking Back at My Predictions About ChatGPT in 2023

Three Years Later: Revisiting My 2023 Predictions on ChatGPT In March 2023, shortly after ChatGPT's launch, I made 20 predictions about its future. Now, in mid-2026, I've used AI agents to fact-check each one against the latest data. Overall, most major directional forecasts were correct, with only one outright error (incorrectly stating GPT-4 had 100 trillion parameters). Key successes included predicting that RAG and retrieval architectures would become the standard for handling knowledge and hallucinations, that natural language interfaces (LUI) would create a massive new industry layer beyond the models themselves, and that China would develop viable large language models, significantly closing the performance gap with Western counterparts within about three years. Predictions about the absence of mass unemployment, the rise of a new "robot network" for agent communication, and ChatGPT not possessing consciousness also held true in their core arguments. However, the "devil was in the details." Errors frequently involved specific numbers, timelines, or overlooking distributional effects. I tended to overestimate the speed of adoption (e.g., for agent networks) while underestimating the ultimate scale of capabilities or costs (e.g., AI winning IMO gold without tools, or the extreme capital required for frontier models). Other misjudgments included: underestimating how AI would reinforce, not dissolve, information filter bubbles; incorrectly assuming AI-generated content would easily circumvent copyright (it has instead triggered record-breaking settlements); and misidentifying where value would be captured (it accrued overwhelmingly to the compute layer, like Nvidia, not just the application or model layers). Key lessons from reviewing these predictions are: 1) Directional and mechanistic insights are far more reliable than precise numbers or absolute statements. 2) There's a consistent bias to overestimate short-term speed but underestimate long-term magnitude. 3) Errors often lie in missing distributional impacts within a generally correct aggregate trend. 4) Predictions phrased with nuance and caveats aged the best. 5) Some fundamental debates (e.g., on machine consciousness or the ultimate value chain) remain unresolved even after three years. This exercise is less about scoring the past and more about establishing rules for clearer thinking about the next three years of AI.

marsbit19 h fa

Three Years Later: Looking Back at My Predictions About ChatGPT in 2023

marsbit19 h fa

Samsung Securities Bets on Upbit: South Korean Financial Capital Fully Embraces Crypto

On May 28th, Samsung Securities announced its investment of approximately 306.3 billion KRW (about $203 million) to acquire a 2% stake in Dunamu, the operator of Upbit, South Korea's largest cryptocurrency exchange. This move signifies a strategic shift as South Korea's traditional financial capital begins to formally embrace the crypto industry, potentially heralding a deeper integration between the two sectors. South Korea has long been a vibrant crypto market, with Upbit dominating local trading volumes. However, a regulatory policy known as "separation of finance and virtual assets" had previously limited traditional financial institutions' direct involvement. Recent signals from regulators about potentially relaxing these rules have opened the door for deeper engagement. Samsung Securities' investment is seen as a strategic move to secure a foothold in the next generation of digital finance ahead of this expected liberalization. The investment reflects a broader anxiety among traditional Korean financial institutions about evolving financial landscapes. As financial activities increasingly migrate on-chain and younger users gravitate towards crypto and digital assets, platforms like Upbit are evolving from simple trading venues into core nodes for future financial networks—encompassing roles like new-age brokerages, asset issuance platforms, and payment gateways. By investing in Dunamu, Samsung Securities is not only gaining exposure to a profitable entity but also securing access to Upbit's vast user base, liquidity, and its position as a key entry point into Korea's Web3 ecosystem. This trend mirrors developments in the United States, where traditional finance has increasingly adopted crypto through instruments like Bitcoin ETFs and digital asset custody services. Analysts predict that South Korea may follow a similar path: witnessing broader traditional finance entry into virtual assets, further "financialization" of crypto exchanges, and potentially emerging as a significant on-chain financial hub in Asia, leveraging its strong retail investor base and active trading culture. In essence, Samsung Securities' stake in Upbit is less a simple financial investment and more a strategic acquisition of a seat at the table in South Korea's evolving digital financial order. It underscores a growing consensus that the future of finance may not be a battle between traditional systems and crypto, but rather the comprehensive on-chain integration of traditional finance.

marsbit05/29 01:29

Samsung Securities Bets on Upbit: South Korean Financial Capital Fully Embraces Crypto

marsbit05/29 01:29

The Scriptures Chanted by OpenAI and Anthropic Might Be Crooked

In the current AI landscape, "Harness-style" Multi-Agent Systems (MAS)—where multiple AI agents with temporary roles collaborate under a central workflow for task efficiency—dominates the conversation, championed by players like OpenAI and Anthropic. However, the author argues this approach, focused on orchestration and software engineering, may be misguided. A more transformative, yet less discussed, alternative is the "Protocol-Native Agent System." Here, the core unit shifts from task-specific agents to persistent "Personal Agents" or "unmanned companies" that represent individuals. These agents possess sovereignty, long-term memory, identity, resources, and relationships. This paradigm change transforms MAS from a distributed software system into a digital society. Collaboration can no longer rely on shared prompts or context, but must be built on protocols governing identity, trust, incentives, reputation, and value exchange—essentially, "Protocol as Organization." The future's true challenge lies not in improving single-agent capabilities, but in enabling long-term coordination among autonomous entities with differing goals, world models, and values. The author suggests that future organizations might themselves be dynamic alliances of such sovereign agents, leading to an "intelligence-native civilization."

marsbit05/28 05:32

The Scriptures Chanted by OpenAI and Anthropic Might Be Crooked

marsbit05/28 05:32

Gold, Fiat, or Bitcoin: Which Will Dominate Global Finance in 10 Years?

In an increasingly multipolar world moving away from the post-1991 unipolar era dominated by the US dollar, the global monetary system is shifting towards multipolarity. Gold remains a key non-sovereign store of value due to its size, liquidity, and immunity from devaluation or seizure. Diversification into multiple fiat currencies is a practical but inefficient option. Bitcoin presents a novel, decentralized, and fast-settling digital ledger, though its widespread adoption faces challenges of security, network effects, and volatility. Its success depends on whether individuals value financial sovereignty enough to overcome adoption barriers. By 2036, gold and major fiat currencies will likely remain significant, but Bitcoin has the potential to rival their scale if it maintains security and gains broader acceptance for its unique attributes of self-custody and permissionless transactions.

marsbit05/28 04:55

Gold, Fiat, or Bitcoin: Which Will Dominate Global Finance in 10 Years?

marsbit05/28 04:55

Vitalik's Article Emphasizes Ethereum Must Be 'Amazing', But Foundation Is Not the Center

Vitalik Buterin has published a lengthy response to recent community criticism directed at the Ethereum Foundation (EF). Acknowledging a sense of "unease," he addresses concerns about the EF's strategic direction, its perceived disconnect from ETH's price performance, and calls for its reduced central role. Vitalik rejects the notion that the EF should be the central governing body of Ethereum, framing it instead as one "node with a clear mandate" among many within the ecosystem. He highlights the EF's limited ETH holdings (≈0.16% of supply) compared to other blockchain foundations and states it will no longer sell significant amounts of ETH. Its future focus will be on long-term, critical projects that align with Ethereum's core values of censorship-resistance and decentralization, which might not otherwise happen. A core argument is that Ethereum must be "amazing," but not by merely chasing higher transaction speeds at the cost of decentralization. He proposes focusing on the "CROPS" dimensions: creating a Cryptographically provable, Reliable, Open, Private, and Secure network. This includes pursuing goals like a formally verifiable, bug-free Ethereum client and minimizing protocol-level reliance on intermediaries. The article concludes by noting that while Vitalik clarifies the EF's refocused role, he does not directly address community suggestions for creating a new organization explicitly aligned with ETH's economic interests. This "alignment gap" is presented as a key challenge for Ethereum's future.

链捕手05/25 15:07

Vitalik's Article Emphasizes Ethereum Must Be 'Amazing', But Foundation Is Not the Center

链捕手05/25 15:07

Vitalik on the Future of the Ethereum Foundation: A Smaller, More Distinct, but Longer-Lasting Ship

Vitalik discusses the future direction of the Ethereum Foundation (EF), emphasizing a shift towards a smaller, more focused, and longer-lasting organization. He clarifies this is his personal view and that his own influence within EF is diminishing, which he welcomes. The key driver is aligning EF's actions with its stated values of decentralization, privacy, and being a "sanctuary technology," addressing criticism that its operations haven't fully reflected these ideals. He argues that EF should not be the "center" of Ethereum but one node among many with a specific mandate. With limited resources (holding only ~0.16% of all ETH), EF must focus its remaining efforts on long-term, mission-critical activities that wouldn't happen without its push, particularly those reinforcing Ethereum's core CROPS values (Censorship-Resistance, Resilience, Openness, Privacy, Security). This means making hard choices, potentially spinning out even respected projects to attract external capital, and cultivating a distinct cultural stance. The core technical vision is for Ethereum to be "amazing" not by chasing maximal throughput, but by excelling in the CROPS dimension. Key goals include: a provably bug-free Ethereum via AI-assisted formal verification; high-availability chain consensus combining the best of BFT and Bitcoin-style security; and minimization of intermediaries in transaction sending and user experience. These "unreasonable" ambitions aim to make Ethereum profoundly impressive in its core values, which also support ETH as a robust asset. The future EF will be a smaller, more opinionated ship built for longevity and meaningful impact.

链捕手05/25 06:44

Vitalik on the Future of the Ethereum Foundation: A Smaller, More Distinct, but Longer-Lasting Ship

链捕手05/25 06:44

The Paradox of Automation: The Stronger the AI, the Busier Humans Become

The Paradox of Automation: The more powerful AI becomes, the more work humans have to do. This article, based on observations from AI-heavy company Every, argues that while AI agents automate tasks like coding, writing, and customer service, they don't eliminate human jobs. Instead, they transform work and create *more* demand for human expertise. AI commoditizes "yesterday's human capabilities" by cheaply generating code, text, and images from past data. This leads to an abundance of similar, generic outputs. Consequently, what becomes scarce and valuable is human judgment in the present moment: knowing *what* is worth doing, *why*, and *how* to do it well. The article identifies two collaboration models: "Agent employees" for delegated tasks and "human-AI collaboration" within tools like Claude Code for complex work. In both cases, humans are essential to set direction, judge quality, and maintain systems. As AI makes execution cheap, human roles shift from executors to designers, reviewers, and meaning-makers. The author addresses "benchmark anxiety" by explaining that AI excels within specific, human-defined problem "frames." As AI masters one frame (e.g., code rewriting), new, more complex frames emerge (e.g., deciding *when* to rewrite). This creates an ongoing cycle where AI chases the frames, but humans remain the "framers." Even with advanced AGI, this dynamic may persist as long as AI lacks true human-like agency and self-directed purpose. The core paradox holds: automation amplifies the need for the very human judgment it seems to replace.

marsbit05/24 07:06

The Paradox of Automation: The Stronger the AI, the Busier Humans Become

marsbit05/24 07:06

a16z: 7 Charts to Understand How Tokenization Is Changing the Nature of Assets

a16z: 7 Charts on How Tokenization is Transforming the Nature of Assets Tokenized Assets, often referred to as "real-world assets" (RWA), are altering the form, flow, and structure of the financial system. The market recently surpassed $30 billion (excluding stablecoins), driven largely by tokenized U.S. Treasuries. These offer investors digital, yield-bearing assets with efficient settlement. Growth varies significantly by asset class. Asset-backed credit leads in speed, followed by niche financial assets, while venture capital and active strategies took longer to scale. U.S. Treasuries and commodities dominate, holding about two-thirds of the current market share. Within commodities, gold tokenization dominates entirely due to its standardization and historical appeal in crypto. The ecosystem is spread across multiple blockchains. Ethereum holds over half the market, with others like BNB Chain, Solana, and Stellar holding significant shares. However, a key insight is that most tokenized assets currently lack "composability." While the total market is large, only a small fraction (e.g., 5% of tokenized bonds) is used within DeFi protocols. Many tokens are simply digital records of off-chain assets, not natively programmable financial building blocks. In contrast, smaller categories like reinsurance tokens see very high on-chain usage. Looking ahead, forecasts for the tokenized asset market by 2030 range from $2 trillion to over $30 trillion, representing immense potential growth from today's ~$340 billion base. Yet, relative to global markets (e.g., $140T+ in bonds), tokenization's penetration remains minuscule (<0.02%). The current phase focuses on digitizing straightforward assets for efficiency. The next major challenge is bringing more complex financial instruments on-chain and integrating tokenized assets into truly composable, internet-native financial infrastructure.

marsbit05/24 04:25

a16z: 7 Charts to Understand How Tokenization Is Changing the Nature of Assets

marsbit05/24 04:25

Google's 2026 Roadmap is Hidden in This Keynote Speech

Google I/O 2026 was not merely a product launch, but a strategic unveiling of the company's decade-long roadmap. The core signal is that Google is evolving its AI, Gemini, from a feature within products into a foundational operating layer that integrates and reshapes its entire ecosystem—Search, Android, Chrome, YouTube, Workspace, XR, and developer tools. The traditional paradigms of digital interaction are being redefined. Search is shifting from finding links to understanding intent and completing tasks. Android is transforming from an app-centric OS into an AI-native platform that orchestrates workflows across services. Chrome is becoming an AI reasoning layer over the web, while YouTube is evolving into a conversational knowledge engine. Google is heavily investing in Agentic AI, aiming for AI to act as a digital operator that executes tasks autonomously. Underlying this vision is the integration of Gemini across all products, making it the central nervous system. Key developments include Gemini Omni for multimodal generation, deeper product integrations, and a push into XR glasses for contextual, ambient computing. Google is positioning AI not as an optional feature but as essential infrastructure, akin to electricity. The broader implication is a competition for the next computing interface. Google's goal is not just to win in chatbots or models, but to become the operating system for the AI era by controlling the primary entry points—search, assistant, OS, and browser—and weaving them into a unified, intelligent layer. This represents a fundamental shift in computing paradigms that will impact creators, developers, businesses, and how all users interact with technology.

marsbit05/21 04:22

Google's 2026 Roadmap is Hidden in This Keynote Speech

marsbit05/21 04:22

活动图片

Trading Strategies

Industry News