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Oracle

Oracles are essential infrastructure components that feed real-time, off-chain data (such as price feeds, weather, or sports results) into blockchain smart contracts. Without decentralized oracles like Chainlink and Pyth, DeFi could not function. In 2026, oracles have evolved to support verifiable randomness and cross-chain data synchronization. This tag covers the technical evolution of data availability, tamper-proof price feeds, and the critical role oracles play in ensuring the deterministic execution of complex decentralized applications.

5109 Articles
Created: 2026/02/02 18:52
Updated: 2026/02/02 18:52
Google Cofounder Larry Page Overtakes Bezos For World’s Third Richest After Gemini 3 AI Model Announcement

Google Cofounder Larry Page Overtakes Bezos For World’s Third Richest After Gemini 3 AI Model Announcement

The post Google Cofounder Larry Page Overtakes Bezos For World’s Third Richest After Gemini 3 AI Model Announcement appeared on BitcoinEthereumNews.com. Topline Google cofounder Larry Page overtook Amazon’s Jeff Bezos to become the world’s third-wealthiest person Wednesday, as Alphabet’s stock surged by nearly 6% in the wake of strong third quarter earnings and the release of Google’s Gemini 3 AI model. Larry Page (L), Co-Founder and President, Products and Sergey Brin, Co-Founder and President, Technology pose inside the server room at Google’s campus headquarters in Mountain View. They founded the company in 1998. (Photo by Kim Kulish/Corbis via Getty Images) Corbis via Getty Images Key Facts Shares of Google parent company Alphabet surged 6% in early trading Wednesday following the release of Google’s Gemini 3 AI model before easing to around 3.3% just after 2 p.m. EST. Page’s net worth jumped by about $7.6 billion thanks to his 3.2% stake in Alphabet, while fellow Google cofounder Sergey Brin, who owns about 2.9%, also gained $7 billion, placing them as the third and fifth wealthiest person in Forbes Real-Time Billionaires List. Elon Musk remains the world’s richest person by far with a fortune valued at $466.2 billion as of Wednesday, followed by Oracle chairman Larry Ellison worth $276.5 billion in second. Jeff Bezos sits between Page and Brin in the rankings and is worth $233.6 billion. Big Number 102%. That’s how much Alphabet stock has climbed since its yearly low in April. Read More Source: https://www.forbes.com/sites/martinacastellanos/2025/11/19/google-cofounder-larry-page-overtakes-bezos-for-worlds-third-richest-after-gemini-3-ai-model-announcement/

Author: BitcoinEthereumNews

2025/11/20

All is calm ahead of Nvidia

All is calm ahead of Nvidia

The post All is calm ahead of Nvidia appeared on BitcoinEthereumNews.com. The AI sell off has paused ahead of Nvidia’s much anticipated earnings release later tonight. The Nasdaq is higher by 1.5% and the S&P 500 by nearly 1% on Wednesday as market angst about tech stock valuations starts to ease. The top performers in the S&P 500 include communications and tech, with a large jump in Google shares, which are higher by 6%. Nvidia’s share price is surging into tonight’s earnings report, and is up by 3.2%. Tesla and Broadcom are also higher, and Oracle is higher by nearly 3% today, as market concerns over valuations and capex spend are put to bed for now. Corrections are normal at this stage in rally Concerns about an AI bubble have been over-blown in our view, and the price action in November, which has included a large sell off in tech stocks, is completely normal. Investor anxiety has been high in recent days, however, this is not a rout. Global stocks have had one of the strongest 6-month runs since the 1990s, so a correction at this stage is completely normal. AI needs to get sensible to rally into year end Of course, the frothiest parts of the market are hit first: crypto has been decimated, so have some of the hyperscalers including  Meta. Mark Zuckerburg’s plans to use AI to generate digital communities for users, complete with AI bot friends, is whacky and it is no wonder that investors are questioning if it’s worth the billions of dollars in capex, and the debt issuance to achieve this. Added to this, some AI stocks’ valuations, including Palantir and Tesla, are too high. When CEOs like Elon Musk get potential $1 trillion pay deals, this also causes investors to take notice, and potentially to scale back positions. AI needs to get sensible to…

Author: BitcoinEthereumNews

2025/11/20

South Korea Joins UAE’s $22 Billion Stargate AI Infrastructure Project

South Korea Joins UAE’s $22 Billion Stargate AI Infrastructure Project

TLDRs: South Korea partners with UAE in $22 billion Stargate AI project, adding energy and tech expertise. Stargate AI infrastructure aims for 5 GW capacity, backed by global tech companies and investments. Leaders sign seven MoUs covering nuclear, AI, space, and bio-health collaborations. Stargate’s expansion signals opportunities for AI hardware and energy suppliers in Abu [...] The post South Korea Joins UAE’s $22 Billion Stargate AI Infrastructure Project appeared first on CoinCentral.

Author: Coincentral

2025/11/20

Is JOIN Faster Than Correlated Subqueries? Taking a Look and Subsequently Debunking the Myth

Is JOIN Faster Than Correlated Subqueries? Taking a Look and Subsequently Debunking the Myth

The "bad" correlated subquery outperformed the "good" JOIN. The subquery triggered a Nested Loop plan with fast index lookups (25 quick searches)

Author: Hackernoon

2025/11/20

Why Red Bull Racing Protects Its Data To Stay Competitive

Why Red Bull Racing Protects Its Data To Stay Competitive

The post Why Red Bull Racing Protects Its Data To Stay Competitive appeared on BitcoinEthereumNews.com. Formula 1 has always worshipped the cult of improvement. Every lap-time, every tyre temperature, every braking point is questioned. Each car is equipped with hundreds of sensors, quietly collecting data which is later translated to aid car development. In the cockpit, the driver acts like the final sensor, translating all of the numbers into instinct and instinct into lap time. On 1Password’s Securing The Win, Red Bull Racing drivers Max Verstappen and Yuki Tsunoda discuss the importance of data in their fight for wins. Securing The Win is a docuseries, traversing how Oracle Red Bull Racing protects its competitive edge. “A lot is done by data and it’s also something that I rely on a lot, engineers rely on a lot,” said Verstappen. The entire car is equipped with sensors including the tyres; tyre sensors have to withstand very high temperatures in order to transmit data. This information is used to understand factors such as tyre degradation which can be used to make pitstop plans for the race. ForbesWhat Time Is The 2025 F1 Las Vegas Grand Prix? Here’s How To WatchBy Yara Elshebiny The Driver’s Feel However, numbers alone don’t put that car on the top of the time sheets. The driver is able to understand the car by feel, the understeer, the twitches, how it behaves in real-life conditions. Together with both driver feedback and data collected, engineers and drivers debrief to understand how to extract the most performance out of the car. “When you sit in the car, that’s where the fine-tuning comes in,” said Verstappen. “You really want to fine-tune the car and that’s also a very personal preference that it’s not always data-driven.” Power Of Preparation Both driver and data have a relationship of mutual symbiosis; both work better with each other. The information is…

Author: BitcoinEthereumNews

2025/11/20

Enhancing Long-Tailed Segmentation with Gradient Cache and BSGAL

Enhancing Long-Tailed Segmentation with Gradient Cache and BSGAL

Proposes BSGAL, a Generative Active Learning algorithm that uses gradient cache to filter unlimited synthetic data for long-tailed instance segmentation.

Author: Hackernoon

2025/11/20

Best Practice AI: How to Use Artificial Intelligence in Trading Safely and Effectively

Best Practice AI: How to Use Artificial Intelligence in Trading Safely and Effectively

To truly leverage AI, it is essential to follow best practices, especially in a complex sector like trading.

Author: The Cryptonomist

2025/11/20

MultiVM Support Now Live On a Supra Testnet, Expanding To EVM Compatibility

MultiVM Support Now Live On a Supra Testnet, Expanding To EVM Compatibility

[PRESS RELEASE – Zug, Switzerland, November 19th, 2025] Supra, the vertically integrated Layer 1 powering MultiVM smart contract execution with native oracles, dVRF, automation, and cross-chain communication, announced today the opening of applications for its MultiVM testnet during today’s keynote at Devconnect Buenos Aires, held as part of Multichain Day. The announcement was delivered by […]

Author: CryptoPotato

2025/11/20

Landscape of Prediction Markets: Centralization vs. Permissionless Protocols

Landscape of Prediction Markets: Centralization vs. Permissionless Protocols

The post Landscape of Prediction Markets: Centralization vs. Permissionless Protocols appeared on BitcoinEthereumNews.com. Prediction markets, once niche experiments, have evolved into significant financial instruments. These platforms, where participants trade on the outcomes of future events, have attracted significant attention due to their demonstrated ability to be more accurate than traditional polls and commentators, particularly concerning critical political and economic results. Their rise is further fueled by the desire for individuals to leverage their knowledge for profit and a broader cultural obsession with real-time data and future outcomes, leading to hundreds of millions, and sometimes billions, of dollars flowing through these markets weekly. The industry’s success has validated a multi-billion dollar demand. The current environment is primarily shaped by a duopoly, Kalshi and Polymarket. These two platforms, while seemingly in direct competition, represent two different approaches to the same market. Kalshi is positioned as a regulated exchange, while Polymarket is the leading decentralized, crypto-native marketplace. A new contender, Rain, has recently emerged, built with a distinctly different, permissionless architecture aimed at addressing the structural limitations of the incumbents. This comparison examines these three notable platforms, Kalshi, Polymarket, and Rain, focusing on four core areas: scalability and liquidity, outcome resolution and trust, user experience and accessibility, and the fundamental tension between decentralization and centralization. The Central Constraint: Market Creation Liquidity While the prediction market industry often focuses on metrics like trading volume and active users, the true barrier to massive growth is a structural bottleneck known as “Market-Creation Liquidity”. This refers to the speed, cost, and accessibility for any user to create a new, tradable market. The current dominant models Kalshi and Polymarket operate under a “publisher” model, acting as gatekeepers, which limits their ability to fully scale. Kalshi: The Regulatory Bottleneck Kalshi’s market position is defined by its compliance-first approach. As a centralized, US-based platform, it is fully regulated by the CFTC as a…

Author: BitcoinEthereumNews

2025/11/19

The Hidden Credit Risk Behind The Trillion Dollar AI Buildout

The Hidden Credit Risk Behind The Trillion Dollar AI Buildout

The post The Hidden Credit Risk Behind The Trillion Dollar AI Buildout appeared on BitcoinEthereumNews.com. The frenzy to finance AI’s data centers and GPUs is jamming bond markets. As issuance surges, capacity limits designed to ensure diversification and reduce risks could turn the boom into a credit contagion. The AI boom has lifted markets to one record high after another. Investors are piling in. Companies are building data centers at a feverish pace. Bankers, jaws agape, are drooling over the fees only a once in a generation debt binge can provide. But the buildout comes with risks that ordinary people rarely think about. At the WSJ Tech Live conference in Laguna Beach this October, OpenAI finance chief Sarah Friar warned that the government might need to backstop the debt fueling the expansion. Such a step would protect corporations and investors while strong-arming the public into absorbing at least some of the risk. Was OpenAI’s CFO asking for a future bailout because she was concerned about the hundreds of billions in debt coming to market in a race to fund the AI infrastructure buildout? Within a day Friar tried to walk back her remark, writing on LinkedIn that she meant “partnership” and not a government imprimatur to make the debt easier to swallow. But the slip revealed what many in finance already know: the bond market may have the sheer capacity to fund AI, but it may not have the risk tolerance for such a large narrow bet. Limits on how much funds can hold from any sector or single issuer, along with the risk of holding AI-related trades across dozens of companies, cap how far this can go. The scale is immense. Analysts at JPMorgan estimate that AI-linked investment grade bond issuance alone could reach $1.5 trillion by 2030. That compares with the average of $1.9 trillion of total U.S. corporate bonds issued each year…

Author: BitcoinEthereumNews

2025/11/19

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