# Сопутствующие статьи по теме Valuation

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

Farewell to Brute Force Computing: Reconstructing the Valuation Logic of AI for Science through HKUST's "GrainBot"

In 2026, Hong Kong's AI sector is rapidly transitioning from infrastructure development to deep application deployment. A key example is GrainBot, an AI tool developed by a team led by Prof. Guo Yike at HKUST, which represents a significant shift from general-purpose AI to specialized scientific discovery. GrainBot addresses critical challenges in materials science, particularly in analyzing microstructures like grain boundaries in materials used in semiconductors, batteries, and solar panels. Traditionally, this required manual, time-consuming, and error-prone analysis of microscopy images. GrainBot automates this process using computer vision and deep learning to accurately identify, segment grains, and quantify geometric features. It also correlates microstructural data with macro-material properties, as demonstrated in its application to perovskite solar cell research. This breakthrough highlights a broader trend in AI for Science (AI4S), where value is measured not by user metrics but by accelerated R&D cycles and novel discoveries. GrainBot’s potential to drastically shorten development timelines or uncover new materials with superior properties underscores a new valuation logic centered on industrial intellectual property. Hong Kong’s strength in combining domain expertise (e.g., materials science, chemistry) with AI capabilities creates a competitive advantage, positioning it as a hub for "autonomous labs" that integrate AI analysis with robotic experimentation. This model enables high-value patent output through fully automated, data-driven R&D, supporting a "Hong Kong R&D + Bay Area manufacturing" framework. However, challenges remain, particularly regarding data scarcity and silos in scientific research. High-quality, annotated datasets are limited, and data sharing barriers must be overcome through secure mechanisms like privacy computing for broader commercialization. GrainBot symbolizes a convergence of algorithmic innovation and scientific rigor, redirecting investment focus from sheer compute power to AI’s ability to solve real-world physical challenges. Hong Kong’s progress in AI4S signals emerging opportunities in a trillion-dollar AI-driven discovery market.

marsbit03/05 09:42

Farewell to Brute Force Computing: Reconstructing the Valuation Logic of AI for Science through HKUST's "GrainBot"

marsbit03/05 09:42

Musk Creates Another Capital Myth? SpaceX IPO Approaches, Stock Volatility May Be More Intense Than Tesla

SpaceX, the aerospace giant founded by Elon Musk, is reportedly preparing for a potential IPO as early as this month, with a target valuation exceeding $1.75 trillion. Analysts predict the stock could experience even greater volatility than Tesla (TSLA.O) post-listing. Key growth is expected from its Starlink satellite internet business, projected to generate significant future revenue and profits. However, the company faces challenges typical of Musk-led ventures, including ambitious timelines that often face delays, such as the Starship rocket and Mars mission goals. The stock’s performance is likely to be heavily influenced by Musk’s leadership and public persona, with a low public float of around 3.3% potentially amplifying price swings. Negative news affecting Tesla or Musk could also impact SpaceX, highlighting concentrated risk. Despite delays, investor focus remains on long-term vision over short-term setbacks.

marsbit03/04 10:30

Musk Creates Another Capital Myth? SpaceX IPO Approaches, Stock Volatility May Be More Intense Than Tesla

marsbit03/04 10:30

HongKongDoll Reveals Conditions of Opinion's $100 Million Valuation KOL Round; Hot Project Mired in 'Rug' Controversy

The prediction market project Opinion (OPN), one of the most anticipated TGEs in early 2026, faced significant backlash from the community following its token distribution announcement. Despite strong backing from top VCs including YZi Labs (formerly Binance Labs), Hack VC, and Jump Crypto, and its position as a leading platform in the prediction market niche, the airdrop allocation disappointed many users. Although 23.5% of the total 1 billion OPN supply was designated for airdrops, only 3.5% was unlocked at TGE, with the remainder vested over 7 months. In contrast, insiders—including the team, advisors, and investors—collectively held over 54% of tokens. Many users reported losses, with some estimating that their airdropped tokens were worth far less than their initial investment. High-profile KOLs like HongKongDoll publicly shared their negative returns, further fueling community anger. Additional frustration arose from last-minute Sybil account purges and the perception that Binance received disproportionately favorable treatment, with its Launchpool allocation fully unlocked at TGE. While the project's fundamentals remain strong, the incident has severely damaged community trust, with many labeling the event a "rug" or "scam." Rebuilding user confidence is now Opinion's most pressing challenge.

marsbit03/04 10:26

HongKongDoll Reveals Conditions of Opinion's $100 Million Valuation KOL Round; Hot Project Mired in 'Rug' Controversy

marsbit03/04 10:26

Volatility Without Reward: Why Bitcoin’s MVRV Signals A High-Risk, Zero-Return Regime

Bitcoin is experiencing heightened volatility driven by geopolitical tensions and fragile liquidity, with weakened directional conviction and constrained risk appetite. Analysis indicates a sharp decline in risk-adjusted returns, as both 365-day and 180-day Sharpe Ratios have turned deeply negative, signaling that recent volatility has not been compensated by positive returns. The MVRV Z-Score currently sits at 0.49, indicating neutral valuation—neither overbought nor at capitulation levels. This suggests a high-risk, low-return environment, lacking the historical buy signals that appear when valuations are deeply negative. A clear catalyst is needed to determine the next directional move.

bitcoinist03/04 07:32

Volatility Without Reward: Why Bitcoin’s MVRV Signals A High-Risk, Zero-Return Regime

bitcoinist03/04 07:32

OpenAI Is Turning AI into a Nuclear Arms Race That Ordinary People Can't Afford

In a record-breaking funding round, OpenAI has secured $110 billion, raising its post-money valuation to $840 billion. This investment, led by Amazon, NVIDIA, and SoftBank, marks the largest-ever private tech funding and signals a new phase in the global AI race—one defined by extreme capital concentration and geopolitical significance. The scale of funding dwarfs the GDP of many mid-sized nations and equals nearly half of NVIDIA’s annual revenue. It also accounts for more than half of all AI startup funding in 2025, accelerating an industry-wide arms race in compute, talent, and model development. This capital influx, however, risks widening the gap between giants and smaller players, potentially stifling innovation and increasing market consolidation. Strategic investors are not merely providing capital: Amazon’s $50 billion commitment includes an eight-year, $100 billion cloud expansion deal. SoftBank’s $30 billion staged investment serves as both a hedge and a bridge for future sovereign wealth entrants. NVIDIA’s $30 billion replaces an earlier partnership promise and effectively locks up its advanced GPU supply, creating a closed loop that sidelines competitors. Despite ChatGPT reaching 900 million weekly active users and 50 million paid subscribers, OpenAI’s burn rate remains high. It spent $0.62 for every dollar earned in 2025, with cumulative cash burn projected to hit $1150 billion by 2029. At the same time, its market share is eroding amid rising competition from Google’s Gemini and Musk’s Grok. Facing mounting financial pressure, OpenAI is eyeing a potential IPO in Q4 2026. The offering could mark either the peak of the AI investment bubble or the beginning of the AGI era—but for now, the world watches as OpenAI races against capital, competition, and time.

marsbit02/28 11:46

OpenAI Is Turning AI into a Nuclear Arms Race That Ordinary People Can't Afford

marsbit02/28 11:46

Safety Narrative Meets Reality Squeeze: How Anthropic Fell into an Identity Crisis?

In a span of seventy-two hours, Anthropic faced a severe identity crisis amid pressure from the U.S. Pentagon, public accusations from Elon Musk, and a major shift in its safety policy. The Pentagon issued an ultimatum: allow Claude to be used for "all lawful purposes," including autonomous weapons targeting and domestic mass surveillance, by Friday 5:01 PM, or risk losing a $2 billion contract and being blacklisted as a "supply chain risk." Anthropic initially resisted, citing ethical red lines. Simultaneously, Elon Musk accused Anthropic of large-scale training data theft, referencing a $1.5 billion settlement over using pirated books. Anthropic also accused three Chinese AI firms of "industrial-scale distillation attacks" on Claude, framing it as a national security threat—a move widely criticized as hypocritical. In a pivotal shift, Anthropic released its Responsible Scaling Policy (RSP) 3.0, removing its core commitment to halt training if safety measures were inadequate. The company cited competitive pressure and lack of industry-wide consensus as reasons. With a $380 billion valuation and rapid growth, Anthropic’s balancing act between its safety-brand identity and commercial-military demands appears increasingly unstable. Its narrative as a "responsible AI" leader is collapsing under political, competitive, and ethical pressures.

比推02/27 13:48

Safety Narrative Meets Reality Squeeze: How Anthropic Fell into an Identity Crisis?

比推02/27 13:48

L1 Value Capture Shrinks Significantly, ETH, SOL, HYPE Struggle to Return to Price Peaks

The article "L1 Value Capture Shrinks Significantly: ETH, SOL, HYPE Struggle to Return to Price Peaks" argues that Layer-1 blockchains face a structural, not cyclical, problem: their ability to capture value through transaction fees is systematically eroded by innovation. Historically, periods of high demand (e.g., Bitcoin congestion, Ethereum's DeFi Summer, Solana's memecoin frenzy) create fee revenue peaks. However, these peaks inevitably stimulate the creation of cheaper alternatives that siphon away this income. The core finding is that open, permissionless networks cannot sustain high fee revenues; profitability is consistently competed away. **Key Examples:** * **Bitcoin:** Fee spikes from congestion (2017, 2021) were quickly mitigated by innovations like SegWit, batching, the Lightning Network, and wrapped BTC. The 2024-2025 bull run saw minimal fee growth despite a 3x price increase, with ETFs providing massive BTC exposure without on-chain fees. * **Ethereum:** The 2020-2021 fee boom from DeFi and NFTs was dismantled by competing L1s and, crucially, its own L2 scaling solutions. The Dencun upgrade (EIP-4844) drastically reduced data costs for L2s, causing Ethereum's L1 fee revenue to collapse by over 95% from its peak. * **Solana:** Its revenue relies heavily on MEV/tips from volatile memecoin trading. This income is now being compressed by private AMMs (which hide liquidity to prevent MEV) and platforms like Hyperliquid, which are moving the most profitable price discovery activity off-chain. **Impact on Token Valuation:** The market is shifting from valuing L1s based on "on-chain profit" to "asset narratives" and "structural capital flows." The analysis suggests: * **ETH:** Now resembles a low-yield infrastructure asset. Its fee compression is structural and ongoing. * **SOL:** While network activity may hit new highs, its matured fee-capturing mechanisms mean MEV revenue is unlikely to return to previous peaks, making a new all-time high price difficult. * **HYPE (Hyperliquid):** Currently benefits from high fees on its perp DEX. However, its fee model is under immense pressure to compress towards traditional finance (TradFi) rates (e.g., CME), threatening its projected high earnings and potentially its token price. * **BTC:** Its security model is unique and inverted. It relies almost entirely on block subsidies, not fees. Miner survival post-halving depends entirely on the USD price of BTC doubling to offset the 50% reduction in BTC-denominated rewards, making long-term security precariously tied to perpetual price appreciation.

marsbit02/26 08:45

Huobi Growth Academy | Crypto Market Macro Report: Repricing of Crypto Assets Amid Receding Liquidity

In Q1 2026, the cryptocurrency market experienced a historic deleveraging crash, with Bitcoin falling over 40% from its peak and Ethereum and altcoins declining even more sharply. The collapse was driven by a confluence of three major liquidity-tightening factors: the unwinding of yen carry trades, the U.S. Treasury's TGA account rebuild draining market liquidity, and systemic increases in derivatives margin requirements. These factors, combined with the crypto market’s inherent high leverage and overvaluation, triggered a cascading sell-off. The report highlights that U.S. stock market’s extreme valuations acted as a ceiling for risk assets, including crypto. The reversal of yen carry trades—where investors borrowed cheap yen to invest in higher-yielding assets like crypto—accelerated as the Bank of Japan signaled a potential end to ultra-loose policies. Simultaneously, the U.S. Treasury’s replenishment of its TGA account and increased bond issuance withdrew nearly $200 billion in liquidity from financial markets. Additionally, rising margin requirements on derivatives exchanges forced further deleveraging, exacerbating the downturn. Crypto’s structural vulnerabilities—such as high leverage, stagnant stablecoin inflows, and declining on-chain activity—amplified the sell-off. Looking ahead, crypto markets are entering a macro-driven phase where liquidity indicators—such as Fed policy, TGA balances, yen-USD exchange rates, and stablecoin flows—will be critical. The market is expected to remain under pressure until macro liquidity conditions improve, likely in the second half of 2026. The era of excess-liquidity-driven growth is over; crypto assets will now be repriced under a new macro-normal regime.

marsbit02/26 08:11

Huobi Growth Academy | Crypto Market Macro Report: Repricing of Crypto Assets Amid Receding Liquidity