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Chiba Institute of Technology becomes an academic partner of Theta

Chiba Institute of Technology has become Theta Network's first academic partner in Japan. Through collaboration with Theta EdgeCloud, Professor Takagi's laboratory and the university's student Web3 club, with over 250 members, will gain access to decentralized computing resources. These resources will support research and student projects in areas such as AI, simulation, and mathematical modeling. Theta Network is a decentralized computing platform, and its EdgeCloud service provides access to computational power from over 30,000 edge nodes and distributed GPU resources, offering an alternative to traditional cloud services. Professor Toru Takagi's lab focuses on developing and researching systems based on mathematical models for computer processing and testing, with research areas including game theory, AI-assisted automatic theorem proving, and cellular activity simulation.

cryptonews.ru3 saat önce

Chiba Institute of Technology becomes an academic partner of Theta

cryptonews.ru3 saat önce

Metaplanet CEO shuts down Bitcoin sale speculation after $322M transfer

Metaplanet CEO Simon Gerovich has clarified that a recent transfer of 5,014 BTC (worth $322 million) was a routine custody operation and not a sale. The company's holdings remain at 43,000 BTC, cementing its position as the third-largest publicly traded Bitcoin treasury firm and the largest in Asia. Despite sitting on an unrealized loss of approximately $1.4 billion, Metaplanet continues to expand its Bitcoin strategy. It has established a ventures arm with a $25 million pledge to invest in Japan's crypto infrastructure and aims to hold 100,000 BTC by the end of 2026 and 210,000 BTC by the end of 2027.

cointelegraph16 saat önce

Metaplanet CEO shuts down Bitcoin sale speculation after $322M transfer

cointelegraph16 saat önce

CoreWeave: The Inflection Point Has Arrived. Has the 'Hard-Working Underdog' Finally Turned Profitable?

CoreWeave, an AI cloud unicorn, released its Q2 2026 earnings on August 12, with shares rising about 15% post-announcement. While overall performance did not significantly exceed expectations, key positive trends emerged. Revenue reached approximately $2.58 billion, up 112% year-over-year, though slightly below the high end of prior guidance. A major highlight was the acceleration in computing power deployment, with Active Power increasing by a record 500 Mw to 1,500 Mw, far surpassing market forecasts and signaling faster future revenue growth. Capital expenditures also hit a new high of $9.4 billion. Importantly, profitability showed signs of inflection. "True" gross margin (after deducting cost of revenue and Tech & Infrastructure expenses) rose to 7.3%, up 3 percentage points from the previous quarter. As revenue scales, depreciation and operating expenses are being diluted. Adjusted operating profit margin improved significantly to 5% from 1% last quarter. The company's guidance points to continued acceleration, with Q3 revenue growth expected at 158% and margins continuing to climb. Management raised full-year 2026 guidance, projecting Q4 revenue growth of around 194% and an adjusted operating margin of approximately 14.6%, suggesting a rapid path toward its 25%-30% long-term target. Recent developments, including a 25% price increase for its services and the launch of higher-margin Managed Inference offerings, support the improving profitability narrative. While long-term competitive challenges remain for new cloud providers, CoreWeave's near-term trajectory of accelerating growth and expanding margins presents a high-risk, high-reward opportunity, especially amid renewed market optimism for cloud stocks.

marsbit20 saat önce

CoreWeave: The Inflection Point Has Arrived. Has the 'Hard-Working Underdog' Finally Turned Profitable?

marsbit20 saat önce

Fei-Fei Li's Latest Interview: Humans Don't Rely Solely on Real Data for Learning

Fei-Fei Li's latest interview on a16z explores the vision for **spatial intelligence** as AI's next frontier, with robotics as its primary testing ground. She discusses World Labs' acquisition of SceniX, a robotics startup co-founded by her former postdoc Yunzhu Li, aiming to tackle the core challenge of scarce and expensive real-world training and evaluation data for robots. The key strategy involves creating scalable, realistic **simulation environments** via a "real-to-sim-to-real" pipeline. This allows for safe, efficient, and controllable data generation, training, and robust evaluation of robotic systems, complementing physical data collection. The combined strengths of World Labs' generative world models (like Marble) and SceniX's simulation and robotics expertise aim to build foundational **infrastructure**—a digital proving ground agnostic to specific robot hardware or AI models. The discussion highlights the necessity of simulation for **counterfactual reasoning**, reliability, and accelerating development, drawing parallels to human learning and industries like autonomous vehicles. The near-term focus is on practical deployment in **semi-structured environments** (e.g., warehouses) rather than fully unstructured ones like homes, emphasizing a calibrated, stepwise approach to achieving robust and commercially viable robotic automation.

marsbit08/06 08:17

Fei-Fei Li's Latest Interview: Humans Don't Rely Solely on Real Data for Learning

marsbit08/06 08:17

Cardano Price Forecast: Can ADA Surpass $0.20 as Ark Invest and Hoskinson Debate Its Relevance?

Cardano (ADA) is trading at $0.1659 on July 27, compressed at the apex of a triangle pattern. This coincides with Ark Invest's Director of Research questioning the industry's continued focus on Cardano as newsworthy, prompting a rebuttal from founder Charles Hoskinson who called the criticism institutional bias. Technically, ADA is caught between a descending trendline from May's peak and an ascending line from June's low of ~$0.1386, with the 20-day EMA at $0.1669 adding resistance. Key support is the 0.236 Fibonacci level at $0.1618, with resistance at the 50-day EMA ($0.1750) and the 0.382 Fib level ($0.1762). Derivatives data shows extremely low options volume at $6.59K, similar to previous low-volatility compression phases before directional moves. Open interest and 24-hour volume have dropped significantly, and long/short positioning is nearly balanced, indicating trader caution ahead of the upcoming FOMC meeting. Price Forecast: * **Bullish Case:** An upward triangle breakout above the 20-day and 50-day EMAs could target the 0.382 Fib ($0.1762) and 0.618 Fib ($0.1995) levels, potentially fueled by a risk-on FOMC outcome and renewed attention from the Hoskinson-Ark debate. * **Bearish Case:** A breakdown below the 0.236 Fib support at $0.1618 could see ADA decline toward the June low of $0.1386, driven by the negative narrative from Ark and risk aversion from FOMC uncertainty.

cryptonews.ru07/27 11:23

Cardano Price Forecast: Can ADA Surpass $0.20 as Ark Invest and Hoskinson Debate Its Relevance?

cryptonews.ru07/27 11:23

Three 'Reflexivity' Shadows Hang Over the Market

Global markets are currently enveloped by three mutually reinforcing "reflexive" loops: oil price politics, outsized capital expenditure by hyperscale cloud providers, and AI debt risks. According to Goldman Sachs, the combined negative feedback from these factors places the market in a fragile and precarious state. The first loop involves the two-way feedback between surging oil prices and rising interest rates. Brent crude's brief breach of $100 per barrel tests expectations of a U.S. policy response to curb prices and inflation. However, the delay in such intervention forces markets to increasingly price in the risks themselves. Higher energy costs are already impacting corporate earnings, as seen with an airline's profit warning, and threaten to fuel broader inflation. The second loop concerns the massive, escalating capital expenditure (capex) by major tech firms like Google, which recently raised its 2026 capex forecast significantly. The market's tolerance for viewing such spending as a cost-free growth signal is waning, shifting focus to investment returns. This competitive capex spiral pressures the entire cloud and semiconductor sector. Furthermore, the competitive gap in AI between leading closed-source and Chinese open-source models is narrowing rapidly, threatening the economic rationale behind massive investments. The third reflexive danger lies in the financing structures supporting this expansion. Bond prices for entities funding AI infrastructure, such as a Meta financing vehicle, have fallen sharply from issue price. While hyperscale balance sheets remain strong, soaring capex is eroding free cash flow conversion. There is a growing risk that today's capacity build-out leads to future oversupply and significant depreciation charges. Key near-term tests for these dynamics include Microsoft's upcoming earnings, which will scrutinize its balance of growth, spending, and cash flow, and the IPO of Chinese memory chipmaker CXMT, a major new competitor. The current environment is characterized by reflexivity, where each variable is both a cause and an effect, creating a self-reinforcing cycle of uncertainty.

链捕手07/27 10:29

Three 'Reflexivity' Shadows Hang Over the Market

链捕手07/27 10:29

Tiger Research: Zuckerberg Begins Betting on Prediction Markets, While Asian Nations Still View Them as Gambling

This article examines the rise of prediction markets, contrasting their growing institutional acceptance in the West with their restrictive regulation in Asia. It details how prediction markets, which originated from informal political betting and academic experiments like the Iowa Electronic Market, aggregate crowd wisdom into probabilistic prices through binary contracts. Their growth accelerated around 2020, reaching over $14 billion in monthly volume. A key driver is the "skin in the game" principle, where users risk their own capital, leading to high accuracy in predicting events like Fed rate decisions and elections, as demonstrated by platforms like Polymarket. Meta's entry, with Mark Zuckerberg reportedly leading the development of the Arena app, signals the market's maturation. In the U.S., court rulings have distinguished prediction markets from gambling, facilitating entry by traditional financial institutions. However, most Asian jurisdictions still classify them as gambling, focusing on social control rather than financial innovation. The article argues this stance creates three problems for Asia: 1) regulatory arbitrage pushes users to riskier offshore platforms, 2) loss of sovereign information infrastructure as valuable social sentiment data accumulates abroad, and 3) abandonment of user protection. It concludes that Asia needs a policy shift from prohibition to constructive regulation, integrating these markets into the formal system to harness their data as a national asset, as initiatives like Limitless Research are beginning to do.

marsbit07/11 10:43

Tiger Research: Zuckerberg Begins Betting on Prediction Markets, While Asian Nations Still View Them as Gambling

marsbit07/11 10:43

AI Image Generation Without Training Speeds Up 1000%: Method: The Most Concise "Three-Stage Pipeline"

AI image generation is powerful but often feels slow for users. To address this without hardware dependencies, model fine-tuning, or dynamic runtime optimizations, researchers propose MrFlow (Multi-Resolution Flow Matching). This method uses a simple three-stage pipeline: first, generate a low-resolution structural draft; second, upscale it to high resolution in pixel space using a super-resolution model like Real-ESRGAN; third, add a small amount of noise and perform a single-step high-resolution refinement with the original model. This approach shifts most computations to the cheaper low-resolution stage, achieving up to 10.35x end-to-end speedup on models like Qwen-Image while maintaining image quality within ~1% of original outputs. Compared to other training-free acceleration methods, MrFlow offers better speed-quality trade-offs, works with various advanced models, and can be combined orthogonally with distillation techniques for further acceleration. The code and a ComfyUI plugin are openly available.

marsbit07/08 07:13

AI Image Generation Without Training Speeds Up 1000%: Method: The Most Concise "Three-Stage Pipeline"

marsbit07/08 07:13

When Big Tech Donates Stocks to the 'Trump Accounts', Which Assets Will Benefit?

"The 'Trump Accounts' program has officially launched, establishing tax-advantaged savings and investment accounts for children under 18 in the US. The accounts receive initial government funding and private donations, with Dell founder Michael Dell contributing $6.25 billion. Former President Trump publicly endorsed Dell at the launch event, boosting its stock price. The US Treasury now allows approved stock donations to these accounts, prompting a donation of SpaceX shares from its president. Account funds are primarily invested in ETFs tracking the S&P 500 index, creating a potential long-term capital inflow into US markets. Key operational partners include BNY Mellon as financial agent and Robinhood as the designated broker and app developer, positioning them to gain millions of potential lifelong financial customers. Early corporate donors, like Dell, are receiving significant presidential endorsement. The program aims to become a long-term wealth-building vehicle for American youth, similar to retirement accounts, with its ultimate impact dependent on future scale and participation."

Odaily星球日报07/07 04:19

When Big Tech Donates Stocks to the 'Trump Accounts', Which Assets Will Benefit?

Odaily星球日报07/07 04:19

Is upcoming ‘Giga’ upgrade true driver behind SEI’s 30% rally?

SEI has rallied approximately 30% in June, decoupling from Bitcoin's recent weakness to trade around $0.058. The initial recovery was aided by a Bitcoin bounce, but SEI's continued gains are attributed to other factors. These include a short squeeze targeting liquidity pools near $0.06 and potentially the upcoming 'Giga' upgrade, which aims to improve the network's speed and privacy. The rally faces a key test at the $0.06 resistance level. Its ability to break through depends heavily on upcoming U.S. inflation data. Softer-than-expected data could renew risk-on appetite, potentially allowing SEI to flip $0.06 into support and target $0.07 (a further ~12% gain). Conversely, high inflation could trigger a risk-off mood and stall the rally. Overall, while seller exhaustion and ecosystem catalysts have fueled gains, SEI's near-term trajectory remains tied to broader market sentiment dictated by macroeconomic data.

ambcrypto06/25 16:07

Is upcoming ‘Giga’ upgrade true driver behind SEI’s 30% rally?

ambcrypto06/25 16:07

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