Google’s Documentation Talks About XRP And You Won’t Believe What It Says

bitcoinistPubblicato 2026-04-03Pubblicato ultima volta 2026-04-03

Introduzione

Google's recent quantum computing research report discusses the XRP Ledger (XRPL) and its efforts to protect against quantum threats. The report highlights that XRPL is among the networks conducting experimental deployments of post-quantum cryptography, specifically noting its testnet deployment of ML-DSA signatures. It also recognizes XRPL's significant role in Real World Asset (RWA) tokenization, where it currently ranks 8th with $1.9 billion in tokenized value. However, Google points out that the account model and smart contracts used by networks like XRPL introduce new quantum vulnerabilities not present in Bitcoin. While XRPL, alongside Algorand and TRON, has an advantage with native key rotation, the transition to quantum-resistant systems is complex and will take years. Despite challenges, networks including XRPL are making notable progress in adopting post-quantum cryptography.

Crypto pundit Cryptoinsight has pointed to Google’s latest research on quantum computing, which discussed XRP. The report specifically highlighted the XRP Ledger and the network’s efforts to protect against quantum threats.

Google’s Latest Quantum Research Report Discusses XRP

In an X post, Cryptoinsight highlighted Google’s research report, which discussed XRP and the XRPL’s quantum efforts. He also noted that Google’s claim that 2/3 of the short-dated U.S. treasury bills are on the Ledger, while the majority of the remaining are on the Ethereum network.

In the quantum report, Google noted that the Ledger is among the networks conducting experimental and test deployments of post-quantum cryptography (PQC). The Ledger recently deployed post-quantum ML-DSA signatures on the testnet. The report also recognized how this was key as the Ledger provides “extensive support” for RWA tokenization.

RWA.xyz data shows that the XRP Ledger currently ranks 8th in terms of RWA tokenization, with a total tokenized value of $1.9 billion. The network boasts an RWA count of 289. Google noted that networks like the XRPL, which provide protocol-level support for RWA tokenization, introduce new quantum vulnerabilities not present in Bitcoin and its derivatives.

This is based on the account model and smart contracts that networks like the Ledger employ to support tokenization. Google indicated that this quantum risk will become more prevalent. This is because of financial developments, such as fiat-backed stablecoins and the tokenization of other RWAs, which are projected to significantly increase the pool of assets governed by smart contracts by 2030.

Another Quantum Risk For The Ledger And Other Networks

Google noted that the XRP Ledger is among the protocols that make long-term exposure of quantum-vulnerable public keys inevitable. However, Ledger has an edge as Google noted that the network, alongside Algorand and TRON, supports native, protocol-level key rotation. The research report added that modern Ethereum, Solana, and Rootstock accounts are controlled by smart wallets and support key rotation, but that legacy accounts remain a lingering vulnerability.

Google stated that the technical and social complexities of switching blockchains to post-quantum signature schemes indicate that the process will take years. However, they noted that this move cannot be delayed until the exact timeline and feasibility of constructing Cryptographically Relevant Quantum Computers (CRQCs) become completely clear.

At the same time, the report noted that the complexities and challenges are feasible to overcome, as networks such as the Ledger, Algorand, and Solana have demonstrated by making “notable progress” in real-world adoption of post-quantum cryptography. The Ledger also recently integrated AI to help identify vulnerabilities in the cycle development.

At the time of writing, the altcoin’s price is trading at around $1.31, up in the last 24 hours, according to data from CoinMarketCap.

XRP trading at $1.31 on the 1D chart | Source: XRPUSDT on Tradingview.com

Crypto di tendenza

Domande pertinenti

QWhat did Google's quantum computing research report specifically highlight about the XRP Ledger?

AGoogle's research report highlighted the XRP Ledger's efforts to protect against quantum threats, specifically mentioning its experimental and test deployments of post-quantum cryptography (PQC), including the recent deployment of post-quantum ML-DSA signatures on the testnet.

QAccording to the report, what new quantum vulnerability do networks like XRPL introduce that is not present in Bitcoin?

ANetworks like the XRPL, which provide protocol-level support for RWA tokenization using an account model and smart contracts, introduce new quantum vulnerabilities that are not present in Bitcoin and its derivatives.

QWhat advantage does the XRP Ledger have in mitigating quantum risk, as mentioned by Google?

AThe XRP Ledger has an edge because it supports native, protocol-level key rotation, which helps mitigate long-term exposure of quantum-vulnerable public keys.

QWhat is the projected timeline and challenge for blockchains to switch to post-quantum signature schemes, according to the report?

AGoogle stated that the technical and social complexities of switching blockchains to post-quantum signature schemes indicate that the process will take years, but it cannot be delayed until the timeline for Cryptographically Relevant Quantum Computers (CRQCs) becomes completely clear.

QWhich other blockchains, alongside XRP Ledger, were noted for making 'notable progress' in the real-world adoption of post-quantum cryptography?

AAlongside the XRP Ledger, Algorand and Solana were also noted for making 'notable progress' in the real-world adoption of post-quantum cryptography.

Letture associate

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

AI is reshaping the labor market's value proposition. The traditional four-year college degree is losing its appeal as a guaranteed career path, while skilled blue-collar trades like electricians, welders, and plumbers are experiencing historic demand and wage premiums. This shift is driven by dual pressures: AI's displacement of certain white-collar roles and a booming need for physical infrastructure and data center construction. Data confirms the trend. In the U.S., vocational school revenue surged, and a significant portion of recent layoffs are AI-related. Surveys show a majority of Gen Z adults plan to pursue blue-collar work, citing better job security against AI automation. Vocational education interest has exploded recently. Experts cite a psychological shift as younger generations seek tangible, AI-resistant careers and avoid high student debt. In many cases, salaries for skilled trades now match or exceed those requiring a bachelor's degree. In South Korea, semiconductor vocational high schools boast near-total employment, with graduates securing high-paying roles at companies like Samsung. The shortage is structural, exacerbated by a retiring baby boomer workforce and massive infrastructure projects. Companies like JPMorgan Chase, Meta, and Lowe's are investing heavily in training programs. However, overcoming historical stigma and a "perception gap" around trade careers remains a key challenge to closing the talent gap.

marsbit1 h fa

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

marsbit1 h fa

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

Qualcomm reported its Q3 FY2026 results (ending June 2026), with revenue of $9.95B, down 4% YoY but above expectations. Gross margin declined to 53.1%, pressured by rising costs across manufacturing and memory. Key business segments showed mixed performance: Handset revenue fell 19.6% YoY to $5.09B, dragged by an 11% decline in non-Apple Android shipments and weaker high-end mix. Conversely, Automotive revenue surged 61% to $1.59B, and IoT grew 9% to $1.83B. Core operating profit dropped 41% YoY due to margin compression and higher expenses. Management's Q4 FY2026 guidance projects revenue of $9.7B-$10.5B, in line with consensus, but Non-GAAP EPS guidance of $2.05-$2.25 fell short of expectations. Amidst persistent weakness in its core handset market, Qualcomm is pursuing growth in AI, focusing on Edge AI (smartphones, PCs, automotive) and Data Center AI. Its data center strategy includes four pillars: AI accelerators (e.g., AI200), commercial CPUs (Dragonfly C1000), custom silicon, and connectivity solutions. While these initiatives initially boosted its stock, concerns over AI capital expenditure sustainability have since erased those gains. The company targets $5B in data center revenue for FY2027 and $15B for FY2029. The report concludes that with the traditional handset business still under pressure, the data center opportunity is currently viewed as a longer-term option, and a more conservative valuation based on core operations may be warranted until AI contributions materialize.

marsbit1 h fa

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

marsbit1 h fa

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

At the 2026 YC Startup School, Jeff Dean outlined his vision for AI's next phase, shifting focus from simply scaling models to building intelligent, autonomous systems. He believes AI's progress is no longer just about creating smarter models, but about integrating them into systems capable of long-term, iterative work, automated experimentation, and continuous learning. This evolution moves the competition from "who has the bigger model" to "who can best organize intelligence." Dean suggests AI capabilities are now comparable to a junior engineer, enabling the automation of complex workflows. However, the true challenge and opportunity lie in managing these AI "workers" at scale. He emphasizes the importance of **context engineering**—structuring tools, memory, and feedback loops—over raw model power. For startups, this means building deep expertise in niche domains where general models currently fail (near 0-1% success rates), leveraging proprietary data, specialized tools, and domain-specific evaluators. A recurring theme is re-examining fundamental constraints. Dean's past work, like moving Google's search index to memory or creating the TPU, stemmed from questioning outdated assumptions about hardware and cost. He sees similar inflection points today, particularly in **specialized inference hardware** to drastically reduce latency and energy consumption for real-time Agent operation. Notably, he points out that in modern AI systems, the dominant cost is often not computation but **data movement**. Reliable, long-running Agents require robust system design, borrowing concepts from distributed computing like checkpointing, state management, and parallel exploration to handle failures and maintain progress over days or weeks. As AI automates execution, the scarcest human skills will shift to **defining clear specifications**, **judging what problems are worth solving** (taste), and designing effective feedback loops. Ultimately, Dean's framework prioritizes understanding the problem deeply, identifying the true bottlenecks, and systematically building closed-loop systems where AI can not only perform tasks but also improve AI itself.

marsbit1 h fa

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

marsbit1 h fa

Trading

Spot

Articoli Popolari

Come comprare T

Benvenuto in HTX.com! Abbiamo reso l'acquisto di Threshold Network Token (T) semplice e conveniente. Segui la nostra guida passo passo per intraprendere il tuo viaggio nel mondo delle criptovalute.Step 1: Crea il tuo Account HTXUsa la tua email o numero di telefono per registrarti il tuo account gratuito su HTX. Vivi un'esperienza facile e sblocca tutte le funzionalità,Crea il mio accountStep 2: Vai in Acquista crypto e seleziona il tuo metodo di pagamentoCarta di credito/debito: utilizza la tua Visa o Mastercard per acquistare immediatamente Threshold Network TokenT.Bilancio: Usa i fondi dal bilancio del tuo account HTX per fare trading senza problemi.Terze parti: abbiamo aggiunto metodi di pagamento molto utilizzati come Google Pay e Apple Pay per maggiore comodità.P2P: Fai trading direttamente con altri utenti HTX.Over-the-Counter (OTC): Offriamo servizi su misura e tassi di cambio competitivi per i trader.Step 3: Conserva Threshold Network Token (T)Dopo aver acquistato Threshold Network Token (T), conserva nel tuo account HTX. In alternativa, puoi inviare tramite trasferimento blockchain o scambiare per altre criptovalute.Step 4: Scambia Threshold Network Token (T)Scambia facilmente Threshold Network Token (T) nel mercato spot di HTX. Accedi al tuo account, seleziona la tua coppia di trading, esegui le tue operazioni e monitora in tempo reale. Offriamo un'esperienza user-friendly sia per chi ha appena iniziato che per i trader più esperti.

500 Totale visualizzazioniPubblicato il 2024.12.10Aggiornato il 2026.06.02

Come comprare T

Discussioni

Benvenuto nella Community HTX. Qui puoi rimanere informato sugli ultimi sviluppi della piattaforma e accedere ad approfondimenti esperti sul mercato. Le opinioni degli utenti sul prezzo di T T sono presentate come di seguito.

活动图片