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.

5171 Articles
Created: 2026/02/02 18:52
Updated: 2026/02/02 18:52
Hyperliquid's self-developed stablecoin USDH officially launched after winning the bid on Native Markets

Hyperliquid's self-developed stablecoin USDH officially launched after winning the bid on Native Markets

PANews reported on September 24th that the USDH stablecoin issued by Native Markets has been launched on the Hyperliquid platform, with the USDH/USDC trading pair now open. Initial trading volume indicated a cautious but active start to the market, reaching approximately $2.2 million as the market launched. USDH is the first dollar-pegged token issued through Hyperliquid's validator selection process. It is a stablecoin natively issued on the HyperEVM and can be circulated across chains within the Hyperliquid ecosystem. Native Markets won the bid earlier this month, beating out proposals from several companies, including Paxos, Frax, and Agora. The plan calls for a phased rollout, with the first USDH/USDC spot market launching "within days" of the vote. The issuer stated that its reserves would be fully collateralized by cash and short-term U.S. Treasury bills, with an initial mix consisting of both off-chain and on-chain components, and transparent data provided by oracles. The proposal also outlines an economic recycling mechanism that would allocate a portion of reserve proceeds to buyback HYPE tokens.

Author: PANews
Top 3 Cardano (ADA) Rivals Ready for a Big & Profitable Bull Run

Top 3 Cardano (ADA) Rivals Ready for a Big & Profitable Bull Run

Cardano (ADA) has long been one of the top smart contract platforms, but investors are now eyeing up-and-coming rivals as the next bull run begins. Ethereum (ETH) is still king with its enormous decentralized app ecosystem, and Solana (SOL) still holds relevance for fast transactions and growing developer momentum. But of the familiar names, new […]

Author: Cryptopolitan
Securitize Integrates with Ripple to Boost Instant Liquidity for Tokenized Treasury

Securitize Integrates with Ripple to Boost Instant Liquidity for Tokenized Treasury

Securitize and Ripple set to enable instant RLUSD liquidity for tokenized treasuries to streamline institutional finance and boost DeFi access.

Author: Blockchainreporter
Phase 6 Entry Positions Ozak AI Among Top-Performing AI Tokens

Phase 6 Entry Positions Ozak AI Among Top-Performing AI Tokens

A lot of excitement is currently brewing in the crypto space as new entrant Ozak AI crosses over to stage six of its presale, with the price kept at $0.012. With this new achievement, the project now sits firmly in the spotlight as a top contender in the AI token market. What makes this moment […] The post Phase 6 Entry Positions Ozak AI Among Top-Performing AI Tokens appeared first on Live Bitcoin News.

Author: LiveBitcoinNews
Exploring zkTLS As A Way To Build A Verifiable and Private Web3

Exploring zkTLS As A Way To Build A Verifiable and Private Web3

Today the world has become heavily digital-first even as AI and AI-adjacent integrations impact all our interactions and experiences. Privacy and security concerns have become more pressing now than ever before. Among the emerging technologies that address and try to deal with all this, Zero-Knowledge Transport Layer Security or zkTLS has caught the attention. Let’s take a deep dive. What is zkTLS? As the name suggests this is a hybrid protocol combining two components: zk: Refers to one of the most popular and highly effective privacy-preserving technique in use in blockchain technology — zero-knowledge proofs (ZKPs). It is a cryptographic method involving two parties, where the prover convinces the verifier that a piece of information is known without having to reveal it. TLS: Refers to a critical part of HTTPS (Hypertext Transfer Protocol Secure) providing encryption and authentication mechanisms to secure data transmission between client and server. Fun fact: Not all implementations of TLS attestations use ZKPs as focus is on verifiability rather than mere privacy, but still the name zkTLS has etched its name as one of crypto’s newest privacy primitives. Bottomline: In tandem with confidential computing, zkTLS enables data provenance and encryption, even tapping into previously unusable data. Oasis, with a focused privacy-first approach and production-ready confidential EVM, Sapphire, has been working with leading zkTLS projects, including PoCs, e.g. onboarding Reclaim Protocol with its ecosystem. How zkTLS works? In simple terms, it allows a user or a server to demonstrate that data fetched via a TLS-secured connection, like an API call to a bank’s server, is authentic, and no extra information is exposed in the process. So, zkTLS will generate a proof like zk-SNARK confirming that data was fetched from a specific server (identified by its public key and domain) via a legitimate TLS session, without exposing the session key or plaintext data. The process flow is something like this: The client and the server connect over TLS (“TLS handshake”), establishing a secure session with encryption and server authentication. zkTLS captures session details (e.g., encrypted data and server certificate) and processes them in a zk-SNARK circuit tailored to TLS constraints. The circuit output will produce the proof verifying the data’s authenticity and source, keeping sensitive details hidden. This proof is recorded on a blockchain for decentralized verification. Let’s now take a quick look at the models. MPC-based Here, zkTLS modifies the standard TLS handshake by introducing a network of nodes that collaborate to produce a multi-party key replacing the browser-generated key. With browser consulting these nodes to generate a shared key through an MPC protocol, it is ensured no single party knows the entire key. The shared key is used for encrypting and decrypting requests and responses as the browser and all nodes cooperate on every instances of operation. This model enhances security but the the trade-off is networking complexity and overhead due to persistent node coordination. TEE-based Here, zkTLS leverages Trusted Execution Environments — tamper-proof secure enclaves within CPUs that act like a black box and can securely handle HTTPS requests. All sensitive data such as authentication tokens are encrypted and sent to the service provider’s TEE, where decryption happens internally without any exposure to the provider or external systems. The TEE logs in on behalf of the user and securely processes the response, providing cryptographic guarantees about the integrity of the request and response. This model is very efficient but the trade-off is dependency on TEE hardware and trust reliance on manufacturer security, e.g. Intel SGX or TDX. Proxy-based Here, zkTLS uses HTTPS proxies as intermediaries which forward encrypted traffic between the browser and the website, and then observe the data exchange. It is the proxy that provides attestations about the encrypted requests and responses, confirming they originated from the browser or the website. Finally, the browser generates a ZKP allowing decryption of the received data, and since the shared key is not revealed, privacy is ensured. This model eliminates the trade-offs of the other two models but has its own challenge — having to trust that the proxy is not malicious. Key takeaways of zkTLS zkTLS is a game-changer for web3 and its implications are best understood when we understand the two-pronged problem is solves. For a web2 user, HTTPS means there is end-to-end encryption. However, this isn’t provable. Also, TLS itself is unverifiable. And, no privacy is guaranteed. zkTLS brings verifiability to the table as the proof it generates validates the data or its origin and verifies the transfer. Another benefit of this technology is data privacy. To those who are thinking this is just like pulling API data and putting it on-chain, the distinction is tangible. APIs can be easily disabled, but with an ongoing HTTPS connection, zkTLS ensures continuous data access. Simply stated, this enables any web2 data to be used on a blockchain in a verifiable and permissionless way. Key use cases of zkTLS in crypto DeFi Lending Real world example: 3Jane Identity Verification Real world example: Nosh Privacy-Preserving Oracles Real world example: TLS Notary Verifiable Airdrops Real world example: ZKON Final word on zkTLS is that its design space is vast and full of potential as it evolves by solving current challenges like scalability, compatibility with varied web systems, and dependence on existing oracle networks. But the promise is real as indicated by the various real world examples, already in production with many more being explored. And the result we have been seeing and, as the space grows and evolves, look forward to gives hope that web2 — web3 interactions between the internet and the blockchain would also drive mass adoption. Resources: Oasis blog Reclaim blog Oasis x Reclaim Originally published at https://dev.to on September 23, 2025. Exploring zkTLS As A Way To Build A Verifiable and Private Web3 was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story

Author: Medium
Sam Altman says concerns over his $850 billion OpenAI expansion are valid

Sam Altman says concerns over his $850 billion OpenAI expansion are valid

The post Sam Altman says concerns over his $850 billion OpenAI expansion are valid appeared on BitcoinEthereumNews.com. Sam Altman says people are right to be worried about the size of OpenAI’s new expansion, but he isn’t backing down from it. Speaking from a construction site in Abilene, Texas, where OpenAI is building its first mega data center, the CEO told reporters on Tuesday that the $850 billion infrastructure rollout is necessary. “People are worried. I totally get that,” Sam said. “We are growing faster than any business I’ve ever heard of before.” As Cryptopolitan reported, OpenAI is now committed to building data centers powered by 17 gigawatts of energy, roughly the same output as 17 nuclear plants or nine Hoover Dams. The electricity load alone could power more than 13 million U.S. homes. Each site costs about $50 billion, and in total the buildout is almost half of the global $2 trillion AI infrastructure push forecasted by HSBC. Sam explained that the scale is just a response to a huge spike in demand. Over the last 18 months, ChatGPT usage has jumped 10x. To handle it, Sam said OpenAI needs an entire network of supercomputing sites. “This is what it takes to deliver AI,” he said. “Unlike earlier versions of the internet, this requires massive infrastructure. And this is only a fraction of it.” Partners lock in funding, power, and leadership to meet AI demand The biggest issue isn’t money or chips, according to Sam, but power. “Electricity is the constraint,” he said. He led a $500 million funding round for Helion Energy, a fusion firm building a test reactor, and also helped take fission startup Oklo public through his own SPAC. Not everyone’s convinced. Critics say the whole setup smells like a bubble. Companies tied to OpenAI, like Nvidia, Oracle, Microsoft, and Broadcom, have seen trillions in value added. Nvidia and Microsoft alone are now worth…

Author: BitcoinEthereumNews
Sam Altman confirmed OpenAI's $850 billion expansion is real and driven by massive AI demand

Sam Altman confirmed OpenAI's $850 billion expansion is real and driven by massive AI demand

Sam Altman says people are right to be worried about the size of OpenAI’s new expansion, but he isn’t backing down from it. Speaking from a construction site in Abilene, Texas, where OpenAI is building its first mega data center, the CEO told reporters on Tuesday that the $850 billion infrastructure rollout is necessary. “People […]

Author: Cryptopolitan
The three major U.S. stock indexes all fell, with Nvidia down nearly 3% and Oracle down 4.3%.

The three major U.S. stock indexes all fell, with Nvidia down nearly 3% and Oracle down 4.3%.

PANews reported on September 24th that U.S. stocks closed on Tuesday, with the Dow Jones Industrial Average initially closing down 0.19%, the S&P 500 down 0.55%, and the Nasdaq down 0.95%. Nvidia (NVDA.O) fell nearly 3%, Oracle (ORCL.N) fell 4.3%, and TSMC (TSM.N) rose 3.7%.

Author: PANews
OpenAI reveals Stargate AI facility in Texas, projects planned in five more states

OpenAI reveals Stargate AI facility in Texas, projects planned in five more states

The post OpenAI reveals Stargate AI facility in Texas, projects planned in five more states appeared on BitcoinEthereumNews.com. OpenAI revealed plans Tuesday to build six large computer facilities across the country, adding to its current Texas location as part of a massive $500 billion spending plan that President Donald Trump highlighted earlier this year. The company behind ChatGPT is working with Oracle and Softbank through a partnership called Stargate to construct these new sites. Two more will go up in Texas, with additional locations planned for New Mexico, Ohio, and another Midwest state that hasn’t been named yet. The biggest project sits in Abilene, Texas, where city leaders say the development is changing their old railroad community. Oracle officials who toured the eight-building site said it’s already set to become the world’s largest computer cluster for artificial intelligence work once construction wraps up. The complex will house hundreds of thousands of specialized computer chips. Sam Altman from OpenAI admitted that most people don’t think about what happens behind the scenes when they use ChatGPT. He and Clay Magouyrk, Oracle’s new co-chief, talked about their efforts to limit environmental damage in this dry part of West Texas, where temperatures reached 97 degrees Tuesday. “We’re burning gas to run this data center,” Altman said, though he noted that Stargate hopes to use different power sources as the project grows. The Texas facility needs roughly 900 megawatts of electricity to run all eight buildings and their computer chips. One building is already working, and a second that the executives visited Tuesday is almost done. Each equipment rack holds 72 of Nvidia’s GB200 chips, which handle the most demanding artificial intelligence tasks. Each building should contain about 60,000 of these chips. Residents have mixed reactions to the OpenAI project Not all residents are pleased because of the facility’s water and power requirements. The city’s water reservoirs were about half-full this week. People…

Author: BitcoinEthereumNews
Robot Swarms Could Solve Blockchain’s Oracle Problem, Researchers Say

Robot Swarms Could Solve Blockchain’s Oracle Problem, Researchers Say

New study shows mobile robots can collectively verify real-world data for smart contracts while resisting attacks.

Author: Coinstats