Weekly Editor's Picks (0613-0619)

marsbitPublicado em 2026-06-20Última atualização em 2026-06-20

Resumo

Weekly Editor's Picks (0613-0619): Market Insights & Analysis This weekly digest curates in-depth analysis often lost in the information flow, focusing on key insights across macro trends, investment, and technology. **Macro & Geopolitics:** With the Strait of Hormuz reopening and military conflict shifting to negotiation, markets are pivoting from "war shock" to "supply restoration." Trades include shorting crude risk premiums, longing airlines/tourism, Asian energy importers, and bond duration, while shorting inflation expectations. LNG, fertilizer, and chemical chains are also being repriced. **Investment & VC:** Ray Dalio advises against betting on concentrated AI giants dominating indices, advocating for diversified portfolios of high-quality, low-correlation assets instead. Analysis covers the 4-year crypto cycle, predicting the core surviving product by 2029 will be asset trading markets. Current BTC metrics suggest a potential bottoming zone, presenting a patient accumulation window. SpaceX's high-profile IPO at a $2.1T valuation faces scrutiny over fundamentals, with key watchpoints being its likely inclusion in the Nasdaq index and Q2 earnings. Concerns are raised about potential "gamma squeeze" and systemic risks if its narrative-driven valuation gets amplified by passive index funds. Robinhood (HOOD) is noted for breaking its high correlation with crypto, bolstered by its stock trading and new underwriting business. **Web3 & AI:** A warning highlights ~$1.8T i...

The information flow is too fast, and in-depth analysis articles are easily drowned out by hot topics. The "Weekly Editor's Picks" column fishes these judgment-worthy pieces out of the ocean of information, filtering out the noise, leaving you with insights, and sparking inspiration.

Macro Landscape

With the Strait of Hormuz Reopened, What Trades Is the Market Betting On?

The war conflict has largely shifted from the military phase to the negotiation phase. The market is switching from "war shock" to "supply recovery".

With the strait reopened, the market is shorting crude oil risk premiums, going long on airlines, cruise lines, and the tourism chain, going long on Asian energy importers, going long on bond duration, and shorting inflation expectations. LNG, fertilizers, and the chemical chain are also being repriced.

Investment & Entrepreneurship

Ray Dalio: When AI Giants Dominate the U.S. Stock Market, I Choose Not to Bet on Direction, But to Do One Thing

Technological progress itself does not equate to the stocks being equally attractive. Major historical technology cycles have often gone through phases of excitement, crowding, volatility, and shakeout.

When a handful of tech companies occupy an increasingly high weight in the index, investors need to be wary of whether they are unintentionally holding a concentrated, high-risk exposure with high correlation. Compared to continuing to chase a few leaders, a truly more robust approach is to build a diversified portfolio composed of high-quality, low-correlation assets and adjust the volatility level according to one's own risk tolerance.

Crypto 2029: The Ultimate Forecast for the Crypto Industry's Four-Year Cycle

The three tracks of private perpetual contracts, stablecoins, and asset tokenization, while their product logic is sound and market demand sufficiently validated, have their development speed severely constrained by external policy forces outside the industry.

By 2029, what will remain in the public eye are the core products that the crypto industry has been truly building all along through successive speculative cycles — asset trading markets.

Data Deciphers the BTC Cycle: Three Major Bottom Signals All Light Up, Will Q4 Be the Key Turning Window?

When BTC stands above $120k, everyone is willing to believe it will go higher; but when it falls back to around $60k, with on-chain valuation, cycle positioning, long-term holder ratios, and macro variables all pointing to the bottom area, what the market lacks most is confidence.

The current zone is more akin to a window for phased accumulation requiring patience, discipline, and faith.

Post-SpaceX's Debut: A $2.1 Trillion Market Cap, Is It Still Worth Chasing?

SpaceX opened at $150, with its market cap settling at $2.1 trillion on its debut. At its current stage, SpaceX's revenue cannot support its massive valuation.

Starlink is SpaceX's only profitable business at present. Space launch is SpaceX's main claim to fame.

Beyond the mismatch between actual business and valuation, the excessive proportion of retail IPO allocation might also be a reason suppressing SpaceX's share price. Musk allocated 20~30% of SpaceX's IPO shares to retail investors. A larger retail holding proportion inherently represents greater volatility; retail can buy in recklessly due to FOMO, and also sell off emotionally at the slightest fluctuation. Therefore, retail truly affects volatility, not the final gains.

For investors watching SpaceX, the following two time points are particularly important:

  1. Approximately 15 trading days post-IPO (estimated around July 6-7), SpaceX has a very high probability of being included in the Nasdaq index, at which point top-tier funds will start buying the stock;
  2. SpaceX Q2 earnings report release (mid-to-early August).

The Higher It Rises, The More Dangerous? The Systemic Risks Behind SpaceX's Valuation Frenzy

Gamma squeeze, i.e., a feedback loop where option market makers are forced to buy shares for hedging, further pushing up the stock price. If SpaceX replicates this path and continues to be pushed higher by its own narrative strength, limited float, and Musk's personal influence, it could evolve from a highly valued stock into a systemic variable for the entire market.

The more dangerous part lies in indexation and passive investing. When a company's market cap is large enough, it gets included in major indices and is held passively by ETFs, pension funds, retirement accounts, sovereign funds, and institutional portfolios. At that point, a bubble is no longer just a gamble for a few traders; it enters the long-term asset allocation of ordinary investors. The higher it rises, the less the market can avoid it; and the less it can avoid it, the more funds may continue to flow into it.

The article discusses a structural paradox in modern capital markets: when market mechanisms themselves can amplify narratives, leverage, and liquidity to the point of overwhelming fundamentals, can "price discovery" still hold?

For Those Still Obsessed with Altcoins, Just Go All In on HOOD

HOOD has risen recently due to multiple positive catalysts.

For a considerable period, cryptocurrency-related revenue has been a significant component of Robinhood's total revenue, and HOOD's stock price movement has shown a strong correlation with crypto. However, recent signs indicate Robinhood is breaking through its dependence on crypto business and positively decoupling from this correlation. Its stock trading, prediction markets, Pre-IPO, and newly added underwriting businesses are still expected to support its earnings growth.

If the crypto market returns to a bull market in the future, Robinhood's crypto trading revenue will likely explode in sync, allowing HOOD to still enjoy the红利 brought by industry growth.

Missing the Stock Token Wave, Korean Crypto Exchanges Forced to "Trade Shitcoins"

Against the backdrop of a weak crypto market and Korean crypto investors shifting to stock trading, Korean exchanges collectively saw declining Q1 2026 performance, forcing them to urgently take measures to reverse the trend. However, unlike overseas exchanges that can transform into "everything exchanges" by listing large batches of tokenized stocks to meet crypto traders' needs, Korea classifies tokenized stocks as securities, thereby prohibiting crypto exchanges from such trading, and also forbids Korean crypto exchanges from trading crypto futures, derivatives, or spot exchange-traded funds (ETFs).

Regulatory measures in Korea aimed at protecting investors are now pushing crypto exchanges into the most speculative corner of the market. With revenue sources and new product lines like derivatives, tokenized stocks, and prediction markets all banned, to boost platform trading volume, exchanges are inclined to list "shitcoin" tokens that can attract attention and are more speculative.

Web3 & AI

An AI-Style Subprime Crisis? $1.8 Trillion in Off-Balance-Sheet Exposure, Becoming a Time Bomb for This Frenzy

Nearly $1 trillion in purchase commitments, over $800 billion in non-cancellable lease contracts, and hundreds of billions in supplier financing arrangements collectively constitute approximately $1.8 trillion in off-balance-sheet exposure—these liabilities sit outside balance sheets but genuinely lock in future cash outflows. The market has not yet fully priced in the above risks.

Morgan Stanley warns that the leverage ratio of hyperscale cloud enterprises has surged from 0.9x to 1.8x in just two quarters, with capital expenditure growth consistently outpacing revenue and free cash flow growth, while the real impact of depreciation pressure has yet to arrive.

Meanwhile, private credit institutions like Apollo and Blackstone are transferring leverage to the supply chain level through SPVs (Special Purpose Vehicles), forming a highly circular, hard-to-penetrate financing structure. If AI commercialization falls short of expectations, or enterprise customers shift en masse to cheaper alternatives, the fragility of the entire financing chain will be exposed.

World Cup Just Started, Some AI Prediction Models Are Deified, Others Crash

Large models like Qwen, ChatGPT, Gemini, Claude, DeepSeek, Qwen, and Copilot can not only answer "which team is more likely to win" but also provide score predictions, upset possibilities, red card risks, key player performance, and match flow analysis.

For prediction market participants, AI's pre-match simulations are becoming another layer of reference beyond odds, news, team data, and market sentiment.

Where Is Your AI Monthly Fee Divided? A Chart Dissects the Supply Chain Behind $20

A Claude $20 subscription cost breakdown chart, splitting an AI monthly fee towards the model company, cloud compute, GPU, electricity, and supply chain.

AI subscriptions have ongoing inference costs and cannot directly apply traditional SaaS high-margin assumptions.

Related targets: OpenAI, Anthropic, Microsoft, Amazon, Google, NVIDIA (NVDA), TSMC, SK Hynix, Samsung, Micron, data centers, and the power chain.

Prediction Markets

The First Prediction Market Concept Stock Appears!

Kalshi previously announced a partnership with U.S. online broker Robinhood, with the latter using the former to provide prediction market trading services to its users, allowing bets on political, economic, sports events, etc. Recently, this relationship has undergone subtle changes. Robinhood gradually realized that what is truly scarce might not be the market itself, but the user access it firmly controls. Robinhood holds a key resource — distribution power.

After about half a year of accelerated development, the Rothera product gradually took shape, and Robinhood finally made the almost inevitable move — gradually shifting orders originally destined for Kalshi into its own controlled system. Robinhood specifically chose an ideal launch battlefield for Rothera — the World Cup.

If the theme of the prediction market industry in the past few years was the market battle between Polymarket and Kalshi, the theme for the coming years might turn into a channel war.

Also recommended: "World Cup Kicks Off, Counting Those 'Big Wins' and 'Big Losses' in Prediction Markets".

CeFi & DeFi

IOSG: On SpaceX's Listing Day, the First Real Test for Three Perpetual Mechanisms

Without a public spot price, how does the market price something? This is the core problem the entire Pre-IPO Perpetual category aims to solve.

In the SpaceX case, trade.xyz captured the on-chain market (about 96.5% of the volume), not because the oracle was smarter, but because near-zero funding fees made holding the position almost cost-free, it launched with the IPO catalyst, and pricing per share enabled cross-exchange arbitrage.

However, while Pre-IPO Perpetuals are good at handling price, they remain primitive at handling events. Corporate actions, especially a one-time stock split after conversion, have no pipeline on-chain: trade.xyz announced no rebase mechanism, Ventuals outsourced this to a single data supplier, which already had an incident (an outdated split data causing its market to flash crash 45%). The bottleneck isn't price discovery, but that boring "corporate actions" processing layer: traditional markets spent a century standardizing it, on-chain hasn't rebuilt it yet. Whoever can credibly deliver it will plug the last gap between these markets and the ones they aim to replace.

STRC Severely Depegs, What Risk Is the Market Pricing?

STRC fell to around $89. Based on an $11.5 annual dividend, the simple current yield is about 12.9%.

The market disagreement isn't about whether MicroStrategy will immediately be unable to pay dividends, but about how to discount the BTC reserves, high-interest financing, on-chain leverage, and competition from similar products.

Related targets: STRC, MSTR/MicroStrategy, SATA, BTC, Pendle, and related on-chain yield products.

STRC Depegs 11%, Can MicroStrategy's Perpetual Motion Machine Keep Turning?

The market's pricing of STRC not only reflects investors' attitude towards a preferred stock but also reflects market confidence in MicroStrategy's entire capital operation model.

Within MicroStrategy's balance sheet expansion loop, STRC is not just an ordinary financing tool but the most powerful engine of its current capital flywheel. Through the loop of "issuing more STRC ➡️ raising fiat ➡️ buying BTC ➡️ boosting company net assets ➡️ elevating STRC trustworthiness," MicroStrategy successfully built a seemingly infinitely loopable capital flywheel. However, the key prerequisite for this flywheel to run smoothly is that STRC must trade near its $100 par value.

The failure of the dividend's corrective effect means the risk the market is now pricing has gone beyond STRC's yield itself. First are superficial technical factors. Some market participants believe the recent decline largely stems from concentrated stampedes during deleveraging by arbitrage funds. Deeper concerns lie in MicroStrategy's liquidity reserve situation.

15%-25% Annualized, Is BlackRock's Bitcoin Yield ETF an Opportunity or a Trap?

BITA, based on BlackRock's spot Bitcoin fund IBIT, sells covered call options to earn stable option premium income for investors, at the cost of sacrificing some of Bitcoin's potential sharp upside. This yield-focused Bitcoin fund is designed for investors and institutions seeking stable cash flow, addressing the pain point that institutions cannot hold zero-yield assets.

Fund flow data will provide the final answer. If BITA and IBIT continue to absorb Bitcoin while Bitcoin stabilizes above the $65k range, it indicates genuine institutional buying has persistence; conversely, if the yield ETF merely diverts funds from the spot fund, the bearish "yield trap" thesis will be validated.

Ethereum & Scaling

Sharplink CEO: A Million Ethereum Developers, Who Can Compete?

Ethereum's core advantage is not speed, but that it gathers the largest and deepest talent pool; its true moat lies in the long-term ecosystem built by composability, standard-setting, and credible neutrality; these builders are focusing on cutting-edge issues like scalability and quantum resistance, continuously solidifying Ethereum's position as the default operating system for the financial internet.

Weekly Hot Topics Recap

Policy & Macro Markets

Iranian media releases detailed terms of U.S.-Iran memorandum of understanding, including reopening the Strait of Hormuz and releasing $24 billion of Iran's frozen funds, etc.;

U.S. and Iran announce immediate, permanent cessation of military operations on all fronts;

U.S.-Iran agreement confirmed reached, crypto and gold surge, oil plunges;

Fed holds rates steady as expected but overall hawkish, policy statement heavily revised;

Bipartisan U.S. lawmakers jointly propose pressure: ban presidential pardon or sentence reduction for SBF;

Anthropic: Suspends access to Fable 5 and Mythos 5 for foreign nationals, Amazon accused of being "behind-the-scenes driver" sparking regulatory intervention;

SpaceX acquires Cursor;

LiuLiuMei (06658.HK) soars on debut due to ticker homophone "LLM" (Large Language Model) (Retrospective);

Opinions & Voices

Arthur Hayes: AI Drains the Market, Bitcoin Unlikely to Reach $100k by Year-End;

a16z crypto: Crypto Industry Enters Show Me Era, Narrative-Driven Shifts to Data Verification;

Strive VP: If MicroStrategy Cannot Pay STRC Dividend, Bitcoin May Perish;

Institutions, Large Companies & Leading Projects

BTTInferGrid Builds Decentralized AI Inference Computing Power Network......

Attached is the portal to the "Weekly Editor's Picks" series. See you next issue~

Criptomoedas em alta

Perguntas relacionadas

QAccording to the article, what are the main market bets mentioned after the reopening of the Strait of Hormuz?

AThe market bets mentioned include shorting the risk premium on crude oil, going long on airlines, cruise lines, and the tourism chain, going long on Asian energy-importing countries, going long on bond duration, and shorting inflation expectations. LNG, fertilizer, and the chemical chain are also being re-priced.

QWhat does Ray Dalio's advice focus on regarding investment in dominant AI stocks according to the 'Investment and Entrepreneurship' section?

ARay Dalio advises against betting on direction when a few AI giants dominate the stock market. He suggests that a more robust approach is to build a diversified portfolio of high-quality, low-correlation assets and adjust the volatility level according to one's own risk tolerance, rather than continuing to chase a few leading stocks.

QWhat are the two critical time points highlighted for investors interested in SpaceX?

AThe two critical time points are: 1) Approximately 15 trading days after the IPO (expected around July 6-7), when SpaceX is highly likely to be included in the Nasdaq index, prompting major funds to buy the stock; and 2) The release of SpaceX's Q2 earnings report (in early to mid-August).

QWhat is the 'structural paradox of modern capital markets' discussed in the context of SpaceX's soaring valuation?

AThe article discusses the paradox where market mechanisms can amplify narratives, leverage, and liquidity to the point of overwhelming fundamentals, raising the question of whether 'price discovery' can still function effectively under such conditions.

QAccording to the 'Web3 & AI' section, what is the significant off-balance-sheet exposure related to the AI industry that Morgan Stanley warned about?

AMorgan Stanley warned about approximately $1.8 trillion in off-balance-sheet exposure. This includes nearly $1 trillion in purchase commitments, over $800 billion in unexecuted lease contracts, and hundreds of billions in supplier financing arrangements. These liabilities, though off the balance sheet, lock in future cash outflows.

Leituras Relacionadas

Two Legends Lost in Three Days: Is Google's AI Talent Dam Cracking?

In three days, Google lost two AI legends. On June 18, Noam Shazeer, co-author of the seminal "Attention is All You Need" paper and Gemini co-lead, left for OpenAI. Just 48 hours later, John Jumper, 2024 Nobel laureate and AlphaFold lead, departed DeepMind for Anthropic. This follows Andrej Karpathy joining Anthropic in May. These moves highlight a structural trend: top AI talent is concentrating at mission-driven, pre-IPO firms like OpenAI and Anthropic, while Google becomes a primary source. The exodus stems from a core mission mismatch. Google's ad-centric model often subordinates AI research to product and revenue goals, creating friction for pioneers like Shazeer, who returned in 2024 only to leave again. In contrast, OpenAI and Anthropic offer singular focus on pushing AI boundaries, whether towards AGI or safety-aligned models, which deeply appeals to top researchers like Jumper. Financial incentives amplify the pull. With both OpenAI and Anthropic nearing IPO, employees stand to gain immensely from equity, an upside Google's mature stock cannot match. Furthermore, the 2023 merger of Google Brain and DeepMind, intended to consolidate strength, has instead created cultural tension and slowed the path from research to product, as evidenced by Gemini's pace. This talent redistribution is reshaping the AI landscape. While Google retains vast data and compute resources, its true crisis is the quiet, continuous loss of the people who define the field's future. The real moat in AI is not infrastructure, but the concentration of brilliant minds—a battle Google is currently losing.

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Two Legends Lost in Three Days: Is Google's AI Talent Dam Cracking?

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Behind the AI Report Card, Lies a Chinese 'Exam Setter'

Beyond the familiar performance charts like MMLU-Pro and MMMU, which major AI models strive to ace, stands a key "examiner": Chinese-Canadian researcher Wenhu Chen. An assistant professor at the University of Waterloo and founder of TIGERLab, Chen addresses the crucial need for more rigorous AI evaluation. As models like GPT-4 began scoring near-perfect results on older benchmarks like MMLU, it became difficult to distinguish their true capabilities. In response, Chen introduced MMLU-Pro in 2024, featuring harder, more reasoning-focused questions with more answer choices, successfully reintroducing meaningful performance gaps. His work extends to multi-modal evaluation with MMMU and its enhanced version, MMMU-Pro. These benchmarks test a model's ability to understand and reason with complex information from images, charts, and text across diverse academic subjects, exposing the significant challenges even top models face in genuine comprehension. Chen's background in complex QA, table reasoning, and his experience at Google DeepMind on projects like Gemini inform his approach. He understands that effective benchmarks must anticipate how models might "cheat" by memorizing data or avoiding visual analysis. His lab also actively researches video understanding and generation models (e.g., UniVideo, Vamba), ensuring his evaluation work is grounded in practical model-building challenges. Now at Meta's Super Intelligence Lab, Chen continues his focus on multi-modal data and evaluation, representing the deep yet often unseen contributions of Chinese talent in shaping the fundamental tools of the AI industry.

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Behind the AI Report Card, Lies a Chinese 'Exam Setter'

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Alliance Co-founder's Letter to Entrepreneurs: Written at the Moment Cursor Sold for $600 Billion

Alliance Co-founder's Letter to Entrepreneurs: On Cursor's $60 Billion Sale Many aspiring founders see massive exits like Cursor's $60B sale and wonder why they can't achieve the same, often concluding opportunities are exhausted. But great companies aren't built in obvious, crowded spaces. Cursor, like Stripe, Figma, and Shopify before it, started with a non-consensus belief about the future. Before ChatGPT, they believed AI would transform knowledge work. They focused on a genuinely exciting domain, became their own customer, and obsessed over power users. Their journey involved years of "glass-chewing" effort before the market was ready. The pattern is consistent: identify a long-term technological shift, find a missed entry point, and execute for years before the trend becomes obvious. First-generation products (PayPal, Adobe, Amazon) prove a market exists. Second-generation winners (Stripe, Figma, Shopify) rebuild that market around new insights, technology, or changing customer behaviors. Founders must identify their phase in the cycle. Early entrants like Coinbase or Cursor focus on making new technology usable for power users. Later entrants find the "yin" to the established "yang"—the blind spots incumbents miss as they grow distant from individual users. The key is deep market immersion. Use every product in your space. Talk to users. Build an audience. Stop looking for ideas and start *seeing* them everywhere. Then, choose one. The idea must offer a 10x improvement or solve a "hair-on-fire" pain point—something severe enough that users are already crafting workarounds. When building, avoid feature bloat. Ask: why would someone switch? Great startups rarely force new behaviors; they improve familiar workflows with drastically lower friction (e.g., Cursor forked VS Code instead of creating a new editor). Distribution is the underestimated moat. Before product-market fit, achieve distribution-market fit. How do customers discover new tools? Founders like those at Airbnb, Stripe, and Cursor did unscalable, manual work to recruit early users. The final, unteachable ingredient is resilience. Cursor built for years pre-market, faced rejection, and persisted. So did Airbnb, Nvidia, and Rain (which launched post-FTX collapse). The lesson isn't that these founders were smarter, but that they stayed in the game long enough for their insights to compound. Framework: Spot technological cycles. Cultivate unique insight. Obsess over your market. Talk to customers. Find a hair-on-fire problem. Build the simplest wedge. Win your distribution channel. Above all, don't quit when it gets hard. Most people won't do these things consistently. The few who do build the next generation of great companies. Go build.

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Alliance Co-founder's Letter to Entrepreneurs: Written at the Moment Cursor Sold for $600 Billion

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Alliance's Co-Founder's Letter to Entrepreneurs: Written on the Occasion of Cursor's $60 Billion Sale

In this letter to entrepreneurs, Alliance reflects on the success of Cursor's $60 billion sale to Elon Musk, using it as a case study to counter the misconception that opportunities in crowded fields like AI or crypto are exhausted. The piece argues that great companies like Cursor, Stripe, Figma, and Shopify are not built by geniuses with perfect ideas, but by founders who start with a non-consensus belief about the future and build for years before that future becomes obvious to everyone. They identify long-term shifts, find overlooked entry points, and execute relentlessly. The framework for success involves: 1. **Identifying your place in the technology cycle**: Early-stage opportunities focus on making new tech usable for power users (e.g., Coinbase, Cursor). Later-stage opportunities involve finding the "yin" to an existing "yang"—the blind spots of first-generation players (e.g., Stripe vs. PayPal, Figma vs. Adobe). 2. **Cultivating unique insights**: Immerse yourself deeply in the market. Use every product, talk to users, and build an audience. Insights will emerge naturally from deep engagement. 3. **Finding a "hair-on-fire" problem**: Look for a 10x improvement or a severe, urgent pain point. The strongest signal is people already building clumsy workarounds. 4. **Building a focused MVP**: Don't just add features because you can. Ask why users would abandon their current tool for yours. The best startups rarely force new behaviors; they improve familiar workflows with drastically lower friction. 5. **Winning a distribution channel**: Distribution is often the moat. Before product-market fit, achieve channel-market fit. Find where your customers are and build an engine to reach them, even through unscalable, manual efforts initially. 6. **Persistence**: The final, unteachable ingredient is resilience. Success stories like Cursor, Airbnb, and Nvidia involved years of grinding, rejection, and perseverance when the path forward seemed unclear. The conclusion is that there is no secret. Most people fail to consistently execute these steps over the long term. The few who do build the companies that define the next era. The world is yours to create.

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Alliance's Co-Founder's Letter to Entrepreneurs: Written on the Occasion of Cursor's $60 Billion Sale

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Crypto Miners' Big AI Gamble: Valuations Enter Differentiation Stage, Comeback Fight Proves Tough

Crypto Mining Firms' AI Bet: Valuation Divergence and a Challenging Transformation Facing declining profitability in crypto mining, mining companies are pivoting to AI infrastructure, capitalizing on their existing power resources, land, and data center expertise to offer GPU compute power. This transition narrative has boosted their stock prices significantly, with firms like Hut 8 and Bitfarms seeing gains over 100% year-to-date, far outpacing Bitcoin. This has led to a market valuation split, with pioneers like CoreWeave reaching a $62.8B market cap, while others remain below $5B. The market currently prioritizes growth potential over short-term profits, which remain under pressure due to heavy capital expenditures for AI build-outs and crypto asset volatility. However, the transformation is a high-stakes gamble. Bitcoin mining profitability is shrinking, with the average production cost around $63,707 and miner margins contracting. While AI offers a more lucrative long-term path, it requires massive investment—estimated at a $500B near-term funding gap. Success now hinges on execution: delivering on contracted power capacity, securing quality tenants like major cloud providers, and managing the immense financial burden. The valuation focus is shifting from mere power capacity to project delivery, future cash flows, and tenant quality, making this a difficult but critical turnaround attempt.

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Crypto Miners' Big AI Gamble: Valuations Enter Differentiation Stage, Comeback Fight Proves Tough

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O que é $S$

Compreender o SPERO: Uma Visão Abrangente Introdução ao SPERO À medida que o panorama da inovação continua a evoluir, o surgimento de tecnologias web3 e projetos de criptomoeda desempenha um papel fundamental na formação do futuro digital. Um projeto que tem atraído atenção neste campo dinâmico é o SPERO, denotado como SPERO,$$s$. Este artigo tem como objetivo reunir e apresentar informações detalhadas sobre o SPERO, para ajudar entusiastas e investidores a compreender as suas bases, objetivos e inovações nos domínios web3 e cripto. O que é o SPERO,$$s$? O SPERO,$$s$ é um projeto único dentro do espaço cripto que procura aproveitar os princípios da descentralização e da tecnologia blockchain para criar um ecossistema que promove o envolvimento, a utilidade e a inclusão financeira. O projeto é concebido para facilitar interações peer-to-peer de novas maneiras, proporcionando aos utilizadores soluções e serviços financeiros inovadores. No seu núcleo, o SPERO,$$s$ visa capacitar indivíduos ao fornecer ferramentas e plataformas que melhoram a experiência do utilizador no espaço das criptomoedas. Isso inclui a possibilidade de métodos de transação mais flexíveis, a promoção de iniciativas impulsionadas pela comunidade e a criação de caminhos para oportunidades financeiras através de aplicações descentralizadas (dApps). A visão subjacente do SPERO,$$s$ gira em torno da inclusão, visando fechar lacunas dentro das finanças tradicionais enquanto aproveita os benefícios da tecnologia blockchain. Quem é o Criador do SPERO,$$s$? A identidade do criador do SPERO,$$s$ permanece algo obscura, uma vez que existem recursos publicamente disponíveis limitados que fornecem informações detalhadas sobre o(s) seu(s) fundador(es). Esta falta de transparência pode resultar do compromisso do projeto com a descentralização—uma ética que muitos projetos web3 partilham, priorizando contribuições coletivas em vez de reconhecimento individual. Ao centrar as discussões em torno da comunidade e dos seus objetivos coletivos, o SPERO,$$s$ incorpora a essência do empoderamento sem destacar indivíduos específicos. Assim, compreender a ética e a missão do SPERO é mais importante do que identificar um criador singular. Quem são os Investidores do SPERO,$$s$? O SPERO,$$s$ é apoiado por uma diversidade de investidores que vão desde capitalistas de risco a investidores-anjo dedicados a promover a inovação no setor cripto. O foco desses investidores geralmente alinha-se com a missão do SPERO—priorizando projetos que prometem avanço tecnológico social, inclusão financeira e governança descentralizada. Essas fundações de investidores estão tipicamente interessadas em projetos que não apenas oferecem produtos inovadores, mas que também contribuem positivamente para a comunidade blockchain e os seus ecossistemas. O apoio desses investidores reforça o SPERO,$$s$ como um concorrente notável no domínio em rápida evolução dos projetos cripto. Como Funciona o SPERO,$$s$? O SPERO,$$s$ emprega uma estrutura multifacetada que o distingue de projetos de criptomoeda convencionais. Aqui estão algumas das características-chave que sublinham a sua singularidade e inovação: Governança Descentralizada: O SPERO,$$s$ integra modelos de governança descentralizada, capacitando os utilizadores a participar ativamente nos processos de tomada de decisão sobre o futuro do projeto. Esta abordagem promove um sentido de propriedade e responsabilidade entre os membros da comunidade. Utilidade do Token: O SPERO,$$s$ utiliza o seu próprio token de criptomoeda, concebido para servir várias funções dentro do ecossistema. Esses tokens permitem transações, recompensas e a facilitação de serviços oferecidos na plataforma, melhorando o envolvimento e a utilidade gerais. Arquitetura em Camadas: A arquitetura técnica do SPERO,$$s$ suporta modularidade e escalabilidade, permitindo a integração contínua de funcionalidades e aplicações adicionais à medida que o projeto evolui. Esta adaptabilidade é fundamental para manter a relevância no panorama cripto em constante mudança. Envolvimento da Comunidade: O projeto enfatiza iniciativas impulsionadas pela comunidade, empregando mecanismos que incentivam a colaboração e o feedback. Ao nutrir uma comunidade forte, o SPERO,$$s$ pode melhor atender às necessidades dos utilizadores e adaptar-se às tendências do mercado. Foco na Inclusão: Ao oferecer taxas de transação baixas e interfaces amigáveis, o SPERO,$$s$ visa atrair uma base de utilizadores diversificada, incluindo indivíduos que anteriormente podem não ter participado no espaço cripto. Este compromisso com a inclusão alinha-se com a sua missão abrangente de empoderamento através da acessibilidade. Cronologia do SPERO,$$s$ Compreender a história de um projeto fornece insights cruciais sobre a sua trajetória de desenvolvimento e marcos. Abaixo está uma cronologia sugerida que mapeia eventos significativos na evolução do SPERO,$$s$: Fase de Conceituação e Ideação: As ideias iniciais que formam a base do SPERO,$$s$ foram concebidas, alinhando-se de perto com os princípios de descentralização e foco na comunidade dentro da indústria blockchain. Lançamento do Whitepaper do Projeto: Após a fase conceitual, um whitepaper abrangente detalhando a visão, os objetivos e a infraestrutura tecnológica do SPERO,$$s$ foi lançado para atrair o interesse e o feedback da comunidade. Construção da Comunidade e Primeiros Envolvimentos: Esforços ativos de divulgação foram feitos para construir uma comunidade de primeiros adotantes e investidores potenciais, facilitando discussões em torno dos objetivos do projeto e angariando apoio. Evento de Geração de Tokens: O SPERO,$$s$ realizou um evento de geração de tokens (TGE) para distribuir os seus tokens nativos a apoiantes iniciais e estabelecer liquidez inicial dentro do ecossistema. Lançamento da dApp Inicial: A primeira aplicação descentralizada (dApp) associada ao SPERO,$$s$ foi lançada, permitindo que os utilizadores interagissem com as funcionalidades principais da plataforma. Desenvolvimento Contínuo e Parcerias: Atualizações e melhorias contínuas nas ofertas do projeto, incluindo parcerias estratégicas com outros players no espaço blockchain, moldaram o SPERO,$$s$ em um jogador competitivo e em evolução no mercado cripto. Conclusão O SPERO,$$s$ é um testemunho do potencial do web3 e das criptomoedas para revolucionar os sistemas financeiros e capacitar indivíduos. Com um compromisso com a governança descentralizada, o envolvimento da comunidade e funcionalidades inovadoras, abre caminho para um panorama financeiro mais inclusivo. Como em qualquer investimento no espaço cripto em rápida evolução, potenciais investidores e utilizadores são incentivados a pesquisar minuciosamente e a envolver-se de forma ponderada com os desenvolvimentos em curso dentro do SPERO,$$s$. O projeto demonstra o espírito inovador da indústria cripto, convidando a uma exploração mais aprofundada das suas inúmeras possibilidades. Embora a jornada do SPERO,$$s$ ainda esteja a desenrolar-se, os seus princípios fundamentais podem, de facto, influenciar o futuro de como interagimos com a tecnologia, as finanças e uns com os outros em ecossistemas digitais interconectados.

70 Visualizações TotaisPublicado em {updateTime}Atualizado em 2024.12.17

O que é $S$

O que é AGENT S

Agent S: O Futuro da Interação Autónoma no Web3 Introdução No panorama em constante evolução do Web3 e das criptomoedas, as inovações estão constantemente a redefinir a forma como os indivíduos interagem com plataformas digitais. Um projeto pioneiro, o Agent S, promete revolucionar a interação humano-computador através do seu framework aberto e agente. Ao abrir caminho para interações autónomas, o Agent S visa simplificar tarefas complexas, oferecendo aplicações transformadoras em inteligência artificial (IA). Esta exploração detalhada irá aprofundar-se nas complexidades do projeto, nas suas características únicas e nas implicações para o domínio das criptomoedas. O que é o Agent S? O Agent S é um framework aberto e agente, especificamente concebido para abordar três desafios fundamentais na automação de tarefas computacionais: Aquisição de Conhecimento Específico de Domínio: O framework aprende inteligentemente a partir de várias fontes de conhecimento externas e experiências internas. Esta abordagem dupla capacita-o a construir um rico repositório de conhecimento específico de domínio, melhorando o seu desempenho na execução de tarefas. Planeamento ao Longo de Longos Horizontes de Tarefas: O Agent S emprega planeamento hierárquico aumentado por experiência, uma abordagem estratégica que facilita a decomposição e execução eficientes de tarefas intrincadas. Esta característica melhora significativamente a sua capacidade de gerir múltiplas subtarefas de forma eficiente e eficaz. Gestão de Interfaces Dinâmicas e Não Uniformes: O projeto introduz a Interface Agente-Computador (ACI), uma solução inovadora que melhora a interação entre agentes e utilizadores. Utilizando Modelos de Linguagem Multimodais de Grande Escala (MLLMs), o Agent S pode navegar e manipular diversas interfaces gráficas de utilizador de forma fluida. Através destas características pioneiras, o Agent S fornece um framework robusto que aborda as complexidades envolvidas na automação da interação humana com máquinas, preparando o terreno para uma infinidade de aplicações em IA e além. Quem é o Criador do Agent S? Embora o conceito de Agent S seja fundamentalmente inovador, informações específicas sobre o seu criador permanecem elusivas. O criador é atualmente desconhecido, o que destaca ou o estágio nascente do projeto ou a escolha estratégica de manter os membros fundadores em anonimato. Independentemente da anonimidade, o foco permanece nas capacidades e no potencial do framework. Quem são os Investidores do Agent S? Como o Agent S é relativamente novo no ecossistema criptográfico, informações detalhadas sobre os seus investidores e financiadores não estão explicitamente documentadas. A falta de informações disponíveis publicamente sobre as fundações de investimento ou organizações que apoiam o projeto levanta questões sobre a sua estrutura de financiamento e roteiro de desenvolvimento. Compreender o apoio é crucial para avaliar a sustentabilidade do projeto e o seu impacto potencial no mercado. Como Funciona o Agent S? No núcleo do Agent S reside uma tecnologia de ponta que lhe permite funcionar eficazmente em diversos ambientes. O seu modelo operacional é construído em torno de várias características-chave: Interação Humano-Computador Semelhante: O framework oferece planeamento avançado em IA, esforçando-se para tornar as interações com computadores mais intuitivas. Ao imitar o comportamento humano na execução de tarefas, promete elevar as experiências dos utilizadores. Memória Narrativa: Utilizada para aproveitar experiências de alto nível, o Agent S utiliza memória narrativa para acompanhar os históricos de tarefas, melhorando assim os seus processos de tomada de decisão. Memória Episódica: Esta característica fornece aos utilizadores orientações passo a passo, permitindo que o framework ofereça suporte contextual à medida que as tarefas se desenrolam. Suporte para OpenACI: Com a capacidade de funcionar localmente, o Agent S permite que os utilizadores mantenham o controlo sobre as suas interações e fluxos de trabalho, alinhando-se com a ética descentralizada do Web3. Fácil Integração com APIs Externas: A sua versatilidade e compatibilidade com várias plataformas de IA garantem que o Agent S possa integrar-se perfeitamente em ecossistemas tecnológicos existentes, tornando-o uma escolha apelativa para desenvolvedores e organizações. Estas funcionalidades contribuem coletivamente para a posição única do Agent S no espaço cripto, à medida que automatiza tarefas complexas e em múltiplos passos com mínima intervenção humana. À medida que o projeto evolui, as suas potenciais aplicações no Web3 podem redefinir a forma como as interações digitais se desenrolam. Cronologia do Agent S O desenvolvimento e os marcos do Agent S podem ser encapsulados numa cronologia que destaca os seus eventos significativos: 27 de Setembro de 2024: O conceito de Agent S foi lançado num artigo de pesquisa abrangente intitulado “Um Framework Agente Aberto que Usa Computadores como um Humano”, mostrando a base para o projeto. 10 de Outubro de 2024: O artigo de pesquisa foi disponibilizado publicamente no arXiv, oferecendo uma exploração aprofundada do framework e da sua avaliação de desempenho com base no benchmark OSWorld. 12 de Outubro de 2024: Uma apresentação em vídeo foi lançada, proporcionando uma visão visual das capacidades e características do Agent S, envolvendo ainda mais potenciais utilizadores e investidores. Estes marcos na cronologia não apenas ilustram o progresso do Agent S, mas também indicam o seu compromisso com a transparência e o envolvimento da comunidade. Pontos-Chave Sobre o Agent S À medida que o framework Agent S continua a evoluir, várias características-chave destacam-se, sublinhando a sua natureza inovadora e potencial: Framework Inovador: Concebido para proporcionar um uso intuitivo de computadores semelhante à interação humana, o Agent S traz uma abordagem nova à automação de tarefas. Interação Autónoma: A capacidade de interagir autonomamente com computadores através de GUI significa um avanço em direção a soluções computacionais mais inteligentes e eficientes. Automação de Tarefas Complexas: Com a sua metodologia robusta, pode automatizar tarefas complexas e em múltiplos passos, tornando os processos mais rápidos e menos propensos a erros. Melhoria Contínua: Os mecanismos de aprendizagem permitem que o Agent S melhore a partir de experiências passadas, aprimorando continuamente o seu desempenho e eficácia. Versatilidade: A sua adaptabilidade em diferentes ambientes operacionais, como OSWorld e WindowsAgentArena, garante que pode servir uma ampla gama de aplicações. À medida que o Agent S se posiciona no panorama do Web3 e das criptomoedas, o seu potencial para melhorar as capacidades de interação e automatizar processos significa um avanço significativo nas tecnologias de IA. Através do seu framework inovador, o Agent S exemplifica o futuro das interações digitais, prometendo uma experiência mais fluida e eficiente para os utilizadores em diversas indústrias. Conclusão O Agent S representa um ousado avanço na união da IA e do Web3, com a capacidade de redefinir a forma como interagimos com a tecnologia. Embora ainda esteja nas suas fases iniciais, as possibilidades para a sua aplicação são vastas e cativantes. Através do seu framework abrangente que aborda desafios críticos, o Agent S visa trazer interações autónomas para o primeiro plano da experiência digital. À medida que avançamos mais profundamente nos domínios das criptomoedas e da descentralização, projetos como o Agent S desempenharão, sem dúvida, um papel crucial na formação do futuro da tecnologia e da colaboração humano-computador.

681 Visualizações TotaisPublicado em {updateTime}Atualizado em 2025.01.14

O que é AGENT S

Como comprar S

Bem-vindo à HTX.com!Tornámos a compra de Sonic (S) simples e conveniente.Segue o nosso guia passo a passo para iniciar a tua jornada no mundo das criptos.Passo 1: cria a tua conta HTXUtiliza o teu e-mail ou número de telefone para te inscreveres numa conta gratuita na HTX.Desfruta de um processo de inscrição sem complicações e desbloqueia todas as funcionalidades.Obter a minha contaPasso 2: vai para Comprar Cripto e escolhe o teu método de pagamentoCartão de crédito/débito: usa o teu visa ou mastercard para comprar Sonic (S) instantaneamente.Saldo: usa os fundos da tua conta HTX para transacionar sem problemas.Terceiros: adicionamos métodos de pagamento populares, como Google Pay e Apple Pay, para aumentar a conveniência.P2P: transaciona diretamente com outros utilizadores na HTX.Mercado de balcão (OTC): oferecemos serviços personalizados e taxas de câmbio competitivas para os traders.Passo 3: armazena teu Sonic (S)Depois de comprar o teu Sonic (S), armazena-o na tua conta HTX.Alternativamente, podes enviá-lo para outro lugar através de transferência blockchain ou usá-lo para transacionar outras criptomoedas.Passo 4: transaciona Sonic (S)Transaciona facilmente Sonic (S) no mercado à vista da HTX.Acede simplesmente à tua conta, seleciona o teu par de trading, executa as tuas transações e monitoriza em tempo real.Oferecemos uma experiência de fácil utilização tanto para principiantes como para traders experientes.

1.3k Visualizações TotaisPublicado em {updateTime}Atualizado em 2026.06.02

Como comprar S

Discussões

Bem-vindo à Comunidade HTX. Aqui, pode manter-se informado sobre os mais recentes desenvolvimentos da plataforma e obter acesso a análises profissionais de mercado. As opiniões dos utilizadores sobre o preço de S (S) são apresentadas abaixo.

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