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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.

5085 Articles
Created: 2026/02/02 18:52
Updated: 2026/02/02 18:52
Top 13 Data Masking Tools Protecting Your Test Environments in 2026

Top 13 Data Masking Tools Protecting Your Test Environments in 2026

In the world of cybersecurity, a lot is written about testing vulnerabilities and attack vectors to reduce the risk of a data breach and keep up with privacy regulations. But if you are testing the security of your data, how do you do that without compromising the data itself? To construct a reliable test environment, […] The post Top 13 Data Masking Tools Protecting Your Test Environments in 2026 appeared first on TechBullion.

Author: Techbullion

2025/11/26

Crypto News: Sergey Nazarov Discusses Chainlink $LINK and Market Prospects in Podcast

Crypto News: Sergey Nazarov Discusses Chainlink $LINK and Market Prospects in Podcast

The post Crypto News: Sergey Nazarov Discusses Chainlink $LINK and Market Prospects in Podcast appeared on BitcoinEthereumNews.com. Sergey Nazarov shares insights on Chainlink, including ETF news, investor actions, and market trends in a new podcast session.   Chainlink (LINK) has gained attention as investors closely watch its price movements. Chainlink had a peak near $30 earlier this year but dropped 55% from its high. Despite the decline, experts suggest potential drivers could influence LINK in the near term. Grayscale Support and Spot ETF Potential Michael van de Poppe shared on X that he hosted a podcast with Sergey Nazarov in New York during LINK’s SmartCon. He noted that the market outlook for the current cycle remains uncertain. Meanwhile, Rand noted that LINK is near the verge of the abyss but is showing strong resistance. https://t.co/ByL6BQFDaT is integrating Chainlink’s groundbreaking “Chainlink Runtime Environment” (CRE) to power our stLINK distribution system. This strategic move will bring unprecedented levels of security, reliability, and transparency to our liquid staking protocol, further… pic.twitter.com/CNBvXJXJmx — stake.link (@stakedotlink) November 25, 2025 Grayscale recently released a report calling Chainlink the key link between crypto and traditional finance. The report described Chainlink as modular middleware that allows applications to access off-chain data and interact across blockchains. The report also highlighted LINK as the largest asset in the Utilities and Services Crypto Sector. This gives investors exposure to the broader crypto economy. Analysts suggest that a U.S. spot ETF for $LINK could further increase institutional interest. Grayscale plans to introduce the ETF under the proposed GLNK product. Bloomberg analyst Eric Balchunas stated the ETF could launch before the end of November. The product would allow investors to gain exposure to $LINK without needing to self-custody the token. Exchange Reserves and Market Movements Recent data shows LINK holdings on centralized exchanges dropped to 128.4 million tokens, the lowest since summer 2022. Many investors are moving funds to self-custody,…

Author: BitcoinEthereumNews

2025/11/26

Japan tests AI credibility; S.Korea-UAE push Stargate plan

Japan tests AI credibility; S.Korea-UAE push Stargate plan

The post Japan tests AI credibility; S.Korea-UAE push Stargate plan appeared on BitcoinEthereumNews.com. Homepage > News > Business > Japan tests AI credibility; S.Korea-UAE push Stargate plan Keen on protecting consumers, Japanese authorities have unveiled plans to evaluate the credibility of artificial intelligence (AI) models, pioneering a new method with minimal human interference. The National Institute of Information and Communications Technology (NICT) will begin developing the system with an early prototype scheduled for 2025. Under the new system, existing AI models will be used to measure the credibility of other large language models (LLMs). NICT’s AI-based evaluation method aims to determine whether an AI model provides biased answers or employs discriminatory expressions in its output. To assess the credibility, the base AI will generate a set of questions for the AI under review, gauging their user worthiness. Additionally, it will examine AI models for the use of discriminatory expressions or private information, the inclusion of content related to criminal acts, and whether they contain elements of misinformation or unsubstantiated information. NICT’s AI-powered evaluation will weigh responses for balance, probing AI models on their alignment with Japanese culture and nuance. Finally, models will be measured on their ability to respond to unforeseen risks while taking their “deceptive” abilities into consideration. The evaluation standard will be double-checked by a panel of sociologists and jurists, aligning processes with international best practices. For starters, the panel will attempt to align the evaluation process with the Hiroshima AI Process and other conventions while paying attention to the peculiarities and nuances. The results from the evaluation will be released in a specific format and are intended to serve as a guide for Japanese consumers to make an informed decision about which AI model to adopt. Since the AI boom in 2023, foreign-made AI models from the United States and China have seeped into Japan, but inconsistencies in their responses…

Author: BitcoinEthereumNews

2025/11/26

LeverUp Partners with Pyth Network to Enhance Real-Time Data Feeds for Decentralized Perpetual Trading Applications

LeverUp Partners with Pyth Network to Enhance Real-Time Data Feeds for Decentralized Perpetual Trading Applications

By integrating Pyth’s oracles, LeverUp enhances its perpetual exchange's effectiveness and the reliability of decentralized applications on the platform.

Author: Blockchainreporter

2025/11/26

Without Agent Oracle, the AI economy is just a castle in the air.

Without Agent Oracle, the AI economy is just a castle in the air.

Over the past few months, while working on the Agent system, I've become increasingly aware of something that's been severely underestimated: no matter how powerful an LLM becomes, it can't reliably assess the state of the real world. Once the Agent enters the actual execution layer—opening an account, trading, accessing websites, submitting forms—it's exposed to extremely high vulnerabilities because it lacks a "reality layer." What we lack is the Agent Oracle, a layer that is practically the cornerstone of the entire Agent ecosystem, yet it has long been neglected. Why is LLM insufficient? Because the essence of LLM is generating probabilistically optimal text, not a system for inferring the truth of the world. It cannot verify the authenticity of news, identify phishing links, determine whether an API has been compromised, understand whether a regulation is truly in effect, or accurately grasp the true bias behind Powell's speech. These all fall under "verification," not "prediction." Therefore, LLM itself can never become the "source of truth" for an agent. Traditional oracles are even less capable of solving this problem. They excel at dealing with the true nature of prices: structured, quantifiable, and observable data such as ETH/USD, BTC/BNB, indices, forex, and on-chain TVL. However, agents face a completely different reality: unstructured events, multi-source conflicts, semantic judgments, real-time changes, and blurred boundaries—this is the truth of events, an order of magnitude more complex than the truth of prices. The truth of events ≠ the truth of prices; their mechanisms are entirely different. Sora's proposed event verification market is currently the closest attempt to the right direction. Sora's core shift is that truth is no longer generated by node voting, but by agents performing real verification tasks. A query involves data scraping (TLS, Hash, IPFS), outlier filtering (MAD), LLM semantic verification, multi-agent reputation-weighted aggregation, reputation updates, and challenge penalties. Sora's key insight is Earn = Reputation: revenue comes from reputation, and reputation comes from long-term real work, not stake or self-declaration. This direction is revolutionary, but it's still not open enough—real-world event verification experts are extremely diverse, ranging from finance, regulation, healthcare, and multilingualism to security auditing, fraud detection, on-chain monitoring, and industry experience. No single team can build an agent cluster covering all these areas. Therefore, what we need is an open, multi-stakeholder "truth-seeking market." Why? Because the way humans acquire truth is not by asking a single expert, but by checking multiple sources, consulting multiple friends, listening to multiple KOLs, and then extracting a stable understanding from the conflicts. The agent world must also evolve along this mechanism. Our current development direction is a combination of ERC8004 and x402. ERC8004 is responsible for establishing the programmable reputation layer, recording each agent's historical performance, call count, success stories, challenge records, area of expertise, stability, etc., allowing a "verifiable career" to naturally determine an agent's eligibility to participate. x402, on the other hand, handles the payment layer. Through it, we can dynamically convene multiple agents with medium to high reputations in a single event verification, allowing them to verify in parallel, cross-validate, and aggregate the results based on their contributions. Instead of finding a single expert, we're assembling a committee—this is the true "truth committee" of the machine world. An open, multi-entity, reputation-weighted, challenge-incentivized, and self-evolving truth market may be the true future form of Oracle. Meanwhile, Intuition is building another layer: Semantic Truth. Not all truths can be verified through events, such as "Is a project trustworthy?", "Is the governance quality good?", "Does the community like a product?", "Is a developer reliable?", and "Is a viewpoint accepted by the mainstream?". These are not yes/no statements, but social consensus, suitable for expression using TRUST triples (Atom — Predicate — Object), with consensus strength accumulated through stakes for or against. It applies to long-term facts such as reputation, preferences, risk levels, and labels. However, their current product experience is indeed poor. For example, to create the statement "V God is the founder of Ethereum," all related terms must have an identity within the system, making the process very awkward. The pain points are clear, but their solution is not yet good enough. Therefore, the future truth structure will present two complementary layers: event truth (Agent Oracle) is responsible for the real-time world, and semantic truth (TRUST) is responsible for long-term consensus. Together, they constitute the truth foundation of AI. The Reality Stack will be clearly divided into three layers: the event truth layer (Sora / ERC8004 + x402), the semantic truth layer (TRUST), and the final settlement layer (L1/L2 blockchain). This structure is likely to become the true foundation for AI × Web3. Why will this change the entire internet? Because today's agents cannot verify authenticity, determine origin, avoid fraud, prevent data contamination, undertake high-risk actions, or perform cross-checks like humans. Without Agent Oracles, the agent economy cannot exist; but with them, for the first time, we can establish a verifiable reality layer for AI. Agent Oracle = the reality foundation of AI. The Oracle of the future will not be a network of nodes, but rather composed of countless specialized agents: they accumulate reputation through income, participate in verification through reputation, and obtain new jobs and challenges through verification. They will automatically collaborate, automatically divide tasks, and self-evolve, ultimately expanding to all knowledge domains. That will be a true machine society, a marketplace of truth. Blockchain provides us with a trusted ledger, but the Agent era requires trusted reality, trusted events, trusted semantics, trusted judgments, and trusted execution. Without Agent Oracles, AI cannot operate safely in the world; with them, we can build a "reality layer" for machines for the first time. The future belongs to protocols that help machines understand the real world.

Author: PANews

2025/11/26

Wall Street trades the Über-dove Fed trial balloon as AI enters its TPU age

Wall Street trades the Über-dove Fed trial balloon as AI enters its TPU age

The post Wall Street trades the Über-dove Fed trial balloon as AI enters its TPU age appeared on BitcoinEthereumNews.com. US stocks didn’t simply rise on Tuesday — they traded as if someone quietly reached under the market’s chassis and flipped every switch that matters: the Fed chair succession, a fresh volley of AI-supply-chain tremors, and a data deluge that leaned dovish from every angle. It was the kind of Wall Street session where the microstructure felt like a storm beneath calm water — visible only to the desks that watch futures order books like cardiograms. The S&P 500 finished up 0.9%, but that number hides the journey. The index pinballed between modest red and green as traders tried to make sense of three competing narratives: Trump installing a potential über-dove as Chair at the Eccles Building, AI’s sudden shift from GPU absolutism to TPU pluralism, and a macro tape that looked like it had been pulled out of the freezer after the government shutdown. The Nasdaq 100 staged a full intraday redemption arc — down 1.3% at one point, closing up 0.6% — the kind of whipsaw that tells you systematic flows and discretionary macro were wrestling for control of the same steering wheel. This wasn’t a slow climb higher but a market trying to re-price the cost of money in real time. Yields were the clearest tell. The 10-year drifted back below 4% — a level that’s becoming a psychological floor — as traders digested the political bombshell Bloomberg dropped midday: Kevin Hassett, Trump’s longtime economic consigliere, is now the frontrunner to replace Jerome Powell. It instantly felt like the curve was repricing not a mere pivot, but a new regime. A Fed chair who says he’d be cutting rates now, in November, based on the existing data? That’s not “dovish signaling.” That’s the monetary equivalent of driving a forklift through the FOMC’s carefully choreographed forward guidance. Treasury Secretary…

Author: BitcoinEthereumNews

2025/11/26

Gemini 3’s Success Means Google Is Back, Baby

Gemini 3’s Success Means Google Is Back, Baby

The post Gemini 3’s Success Means Google Is Back, Baby appeared on BitcoinEthereumNews.com. Google CEO Sundar Pichai, CEO of Google and Alphabet Getty Images Welcome back to The Prompt, When ChatGPT first amazed the world three years ago, Google was caught off guard, struggling to ship AI products that competed with OpenAI and Anthropic. But with the launch of Gemini 3, things have changed. It’s no longer an AI laggard. The search giant’s latest model beat OpenAI and Anthropic’s best AI in more than a dozen categories like complex reasoning, problem solving and understanding different types of data. It also outperforms GPT-5.1 in scientific knowledge in fields like chemistry, biology, physics and mathematics. OpenAI CEO Sam Altman wrote in an internal memo that Google’s recent success could create “temporary economic headwinds” for the company. “I expect the vibes out there to be rough for a bit,” he wrote. Google is also reportedly in talks to sell its own AI chips (called tensor processing units) to Meta, going head-to-head against chip giant Nvidia, The Information reported, cratering Nvidia stock by as much as 6%. Nvidia posted on X: “We’re delighted by Google’s success — they’ve made great advances in AI and we continue to supply to Google. Nvidia is a generation ahead of the industry.” As Alphabet’s shares rose this week, both Google cofounders moved up the Forbes billionaires ranking. Larry Page (net worth: $264.4 billion) passed Oracle’s Larry Ellison to become the second richest on Monday and Sergey Brin (net worth: $245.3 billion) briefly became the third richest on Tuesday, Forbes reported. Now let’s get into the headlines. BIG PLAYS Elon Musk’s AI startup xAI is on track to become profitable by 2028 and has $10 billion in cash in the bank, according to a recording of an investor pitch call reviewed by Forbes. That’s a lot earlier than AI juggernaut OpenAI, which…

Author: BitcoinEthereumNews

2025/11/26

Chainlink and Holdstation Partner to Enable Secure Cross-Chain HOLD Transfers via CCIP

Chainlink and Holdstation Partner to Enable Secure Cross-Chain HOLD Transfers via CCIP

Chainlink and Holdstation shake hands to enable seamless, secure cross-chain HOLD transfers between BNB Chain and ZKsync using CCIP technology.

Author: Blockchainreporter

2025/11/26

What Is The Best Cryptocurrency To Invest In Q4 2025

What Is The Best Cryptocurrency To Invest In Q4 2025

As Q4 2025 approaches, crypto markets are showing strong rotation toward early-stage projects. Investors are looking for underpriced assets with real utility. Altcoins are reviving, DeFi activity is surging, and participants are analyzing the next crypto to hit $1. Mutuum Finance (MUTM) is emerging as a leading candidate for crypto investing, drawing attention from both […] The post What Is The Best Cryptocurrency To Invest In Q4 2025 appeared first on TechBullion.

Author: Techbullion

2025/11/26

Google’s Sergey Brin Moves Ahead Of Oracle’s Larry Ellison As World’s Third Richest

Google’s Sergey Brin Moves Ahead Of Oracle’s Larry Ellison As World’s Third Richest

The post Google’s Sergey Brin Moves Ahead Of Oracle’s Larry Ellison As World’s Third Richest appeared on BitcoinEthereumNews.com. Topline Sergey Brin bumped Oracle’s Larry Ellison on Tuesday to become the world’s third-richest person, ranking behind fellow Google cofounder Larry Page, as parent firm Alphabet’s stock has rallied in recent weeks on optimism for its AI business. Google’s cofounders have risen through the ranks of the world’s wealthiest in recent weeks. Getty Images Key Facts Shares of Alphabet rose 2.2% to around $325.75 shortly after trading opened Tuesday, after a 6.3% jump on Monday and a more than 75% surge since hitting a low below $188 in August. Oracle’s shares dropped by more than 4.6% to around $191, adding to an 11% drop over the last week for the stock. The latest bump for Alphabet followed a report late Monday that Meta is considering using Google’s AI chips for its data centers and cloud infrastructure, according to The Information, challenging demand for Nvidia’s chips. Neither Meta nor Google immediately responded to requests for comment from Forbes. Forbes Valuation Brin has an estimated net worth of $245.3 billion, ranking him the third-wealthiest person in the world just ahead of Ellison, whose fortune is valued at $239.7 billion. Page, who passed Ellison on Monday, ranks No. 2 with a net worth estimated at $264.4 billion. A combined $18.3 billion and $16.9 billion were added to Page’s and Brin’s net worths over the last two trading sessions, respectively, as the Google cofounders moved up in the rankings. Brin holds fewer of Alphabet’s Class B shares than Page, as Brin has been more active in selling his stake and donated millions of his Alphabet and Tesla shares multiple times to research on Parkinson’s disease. Read More Source: https://www.forbes.com/sites/tylerroush/2025/11/25/sergey-brin-overtakes-larry-ellison-on-rich-list-google-co-founders-now-rank-no-2-and-3-as-alphabet-surges/

Author: BitcoinEthereumNews

2025/11/26

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