Robinhood Chain Testnet Hits 4M Transactions in Week One

TheNewsCryptoОпубліковано о 2026-02-19Востаннє оновлено о 2026-02-19

Анотація

Robinhood Chain, the company's Ethereum Layer 2 testnet built on Arbitrum, processed 4 million transactions in its first week, indicating strong developer interest. Launched on February 10 after six months of private testing, the permissionless blockchain is designed for high-throughput financial applications, including tokenized equities and ETFs. CEO Vlad Tenev emphasized the platform's role in the future of on-chain finance. Despite a 38% year-over-year drop in Q4 2025 crypto revenue, Robinhood plans to expand its tokenized stock offerings with 24/7 trading and self-custody. The mainnet is expected to launch later this year.

The public testnet of Robinhood for its own blockchain has captivated four million transactions in its initial week, as per the chief executive officer of the firm, Vlad Tenev.

On February 18, Tenev posted on X stating that developers are so far making our L2, made for tokenised real-world assets and on-chain financial services. The upcoming chapter of finance operates on-chain.

The U.S. financial trading giant rolled out the testnet for Robinhood Chain on February 10 as an Ethereum Layer 2 made on Arbitrum. The chain, which went through six months of private testing before the public testnet rollout, is made as a permissionless blockchain platform for high-throughput financial applications, having native support for tokenised equities, ETFs, and other real-world assets.

The Plan of Widening

Robinhood has so far amalgamated prominent infrastructure partners, comprising Alchemy, LayerZero and Chainlink. The quick accumulation of transactions through the testnet shows strong early developer interest in the network, which mostly strengthens the long-term aim of crypto and the tokenisation of Robinhood, regardless of the recent market pullback.

Robinhood witnessed its crypto transaction revenue slip 38% year-over-year to $221 million at the time of Q4 of 2025. Robinhood publicised in January 2026 that it plans to widen its tokenized stock offering to comprise round-the-clock trading, near-real-time settlement and self-custody.

The CEO has so far contrasted tokenisation to a freight train, mentioning that it “can’t be stopped” and will then end the whole financial system. The imminent rollout of Robinhood Chain is anticipated later this year, though the exact date of the launch hasn’t been announced yet.

Made on Arbitrum, Robinhood Chain was launched by Johann Kerbrat, SVP and General Manager of Robinhood Crypto at Consensus Hong Kong. The launch became the first one after being announced at the Cannes keynote of the company in 2025.

The testnet will give developers access to entry points, documentation and complete compatibility with standard Ethereum tools.

Highlighted Crypto News Today:

Ethereum Sets Three Core Priorities for 2026 Protocol Development

Пов'язані питання

QHow many transactions did the Robinhood Chain testnet process in its first week?

AThe Robinhood Chain testnet processed four million transactions in its initial week.

QOn which Layer 2 scaling solution is the Robinhood Chain built?

AThe Robinhood Chain is built on Arbitrum as an Ethereum Layer 2.

QWhat is the primary purpose of the Robinhood Chain as stated by the company?

AThe Robinhood Chain is designed as a permissionless blockchain platform for high-throughput financial applications, with native support for tokenized equities, ETFs, and other real-world assets.

QWhich three infrastructure partners did Robinhood integrate for its chain?

ARobinhood integrated three prominent infrastructure partners: Alchemy, LayerZero, and Chainlink.

QWhat key feature did Robinhood announce it would add to its tokenized stock offering in January 2026?

AIn January 2026, Robinhood announced plans to widen its tokenized stock offering to include round-the-clock trading, near-real-time settlement, and self-custody.

Пов'язані матеріали

Jensen Huang 'Saves' South Korean Stock Market: Locks In SK Hynix Memory, Chip Shortage to Continue

On June 5th, South Korea's stock market experienced a sharp decline, with major chipmakers like Samsung and SK Hynix dropping nearly 10%. Amidst the turmoil, NVIDIA CEO Jensen Huang's visit to Seoul played a dramatic role in boosting market sentiment. Following a dinner meeting with SK Group Chairman Chey Tae-won and SK Hynix CEO Kwak Noh-Jung, Huang confirmed that NVIDIA's new Vera CPU will utilize SK Hynix DRAM. The companies announced a multi-year technical partnership to co-develop next-generation memory for NVIDIA's AI infrastructure, covering products from data centers to personal AI and robotics. This collaboration extends beyond memory supply. SK Hynix is integrating NVIDIA's AI and Omniverse platform into its own semiconductor design and manufacturing processes, including computational lithography and creating digital twins of its fabrication plants for autonomous operation. While strengthening ties with SK Hynix, NVIDIA is diversifying its supply chain for the upcoming HBM4 memory, with Samsung, SK Hynix, and Micron all certified as suppliers for its Vera Rubin platform. Despite this, Huang warned that the global chip shortage, driven by relentless demand from AI factory construction, is expected to persist for several years across the entire supply chain. His visit underscores NVIDIA's systematic effort to deepen integration with South Korea's broader tech industry.

marsbit46 хв тому

Jensen Huang 'Saves' South Korean Stock Market: Locks In SK Hynix Memory, Chip Shortage to Continue

marsbit46 хв тому

Nasdaq Plunges 4.2% in a Single Day: Does "Black Friday" Burst the U.S. Stock Market Bubble?

The Nasdaq plunged 4.18% on June 5, 2026, its worst single-day drop in over a year, as a much stronger-than-expected US jobs report triggered fears of economic overheating and delayed Federal Reserve interest rate cuts. The selloff, centered on high-valuation tech and AI stocks like Nvidia and Broadcom, spread across major indices. The article examines whether this signals a market top. The strong May non-farm payrolls data, nearly double expectations, pushed bond yields higher, directly hurting rate-sensitive tech stocks. This exposed vulnerabilities in the crowded AI trade, where valuations had soared on narratives of infinite growth, despite emerging signs of slowing order momentum and corporate AI monetization challenges. Prior to the drop, market indicators flashed warning signs: historically high valuations (e.g., Shiller CAPE ratio near 39.5), extreme bullish sentiment, and high levels of leverage. Technical charts showed key support levels being breached. Wall Street is divided on the outlook. Bears, citing risks of "stagflation" and AI bubble comparisons to the dot-com era, warn of a potential significant correction. Bulls view the drop as a healthy correction within a bull market, underpinned by a strong economy and expected corporate earnings growth of around 7% in 2026. The immediate future hinges on upcoming key events: the May CPI inflation data and the mid-June FOMC meeting. Their outcomes will critically shape market expectations for the Fed's rate path. The article concludes that conditions for a major market top are aligning, marking a fragile transition from narrative-driven gains to a phase demanding validation from macroeconomic data and corporate fundamentals. Caution is advised.

marsbit50 хв тому

Nasdaq Plunges 4.2% in a Single Day: Does "Black Friday" Burst the U.S. Stock Market Bubble?

marsbit50 хв тому

Nasdaq Plunges 4.2% in a Single Day, Did 'Black Friday' Pop the U.S. Stock Bubble?

The Nasdaq Composite plummeted 4.18% on June 5, its biggest single-day drop since April 2025, triggering widespread debate over whether the U.S. stock market has peaked. The sell-off was sparked by a stronger-than-expected U.S. non-farm payrolls report, which fueled fears of economic overheating and pushed back market expectations for Federal Reserve rate cuts, leading to a sharp rise in Treasury yields. The AI sector, the primary driver of the recent bull market, suffered severe losses, with the Philadelphia Semiconductor Index crashing over 10%. Stocks like Nvidia, Broadcom, and Micron led the decline. Concerns are mounting about the sustainability of AI capital expenditures and high valuations, with signs of order cuts for next-generation chips emerging. Analyses point to several warning signs: historically high market valuations (e.g., elevated Shiller CAPE ratio, Buffett Indicator), extreme bullish sentiment indicators, and significant insider selling. The sell-off also caused a key technical breakdown, with the S&P 500 breaking below its short-term moving average and testing its 200-day moving average. Wall Street is divided on the outlook. Bears warn this could be the start of a bubble deflation or a "stagflation" scenario, while bulls view it as a healthy, overdue correction within a bull market driven by solid corporate earnings growth. A more moderate view suggests the easy liquidity-driven rally is over, and markets are entering a phase of fundamental stock-picking with potential for consolidation. The immediate future hinges on key upcoming events: the May CPI report and the mid-June FOMC meeting. Their outcomes will be critical in determining whether this is a temporary pullback or the beginning of a more significant trend reversal. The consensus is that the era of one-directional market gains may be ending, requiring increased investor caution.

Odaily星球日报55 хв тому

Nasdaq Plunges 4.2% in a Single Day, Did 'Black Friday' Pop the U.S. Stock Bubble?

Odaily星球日报55 хв тому

The First Case on AI Agents: What Was Adjudicated?

"The First 'Agent' Ruling: What Was Decided?" On April 30, the Guangzhou Internet Court issued a ruling—China's first behavior preservation order in the intelligent agent (AI agent) field. The defendant, an open-source AI agent software, was ordered to stop downloads, cease actions that bypassed a platform's technical protection measures, and delete related tutorials and data. The core issue: the software used the operating system's "accessibility service" permissions to automate user interactions within other apps without those platforms' authorization. This mirrors a recent US case where Amazon sued Perplexity for similar reasons—bypassing Amazon's API to directly scrape and interact with its pages—and won a preliminary injunction. Both rulings establish a crucial legal boundary for the AI agent era: agents cannot operate unchecked. The article argues the fundamental legal principle emerging is one of **dual authorization**. An AI agent requires both **user consent** AND **platform consent** to operate legitimately within that platform's ecosystem. Bypassing platform rules through system-level permissions, even with user permission, undermines platform responsibilities for content moderation, data security, and user privacy, creating liability issues. The piece uses the evolution of "Doubao Phone" (an AI-integrated smartphone) as a case study. Its initial, aggressive version that bypassed platform controls faced roadblocks. Its upcoming 2.0 version is reportedly pivoting to negotiate API access and authorization deals with major platforms (like Alibaba's ecosystem), seen as a strategic adaptation to the new regulatory reality. A global trend is identified: the era of unregulated, "wild west" growth for AI agents is ending, replaced by a **compliance race**. This raises barriers to entry, as securing platform authorizations becomes a new cost. Open-source status is also not a legal shield if the code facilitates bypassing technical protections. In conclusion, these first rulings target not the largest, but the most **aggressive and representative** cases. By setting precedent with them, regulators are efficiently steering the entire industry towards a new, more regulated operating paradigm defined by dual authorization and platform cooperation.

marsbit1 год тому

The First Case on AI Agents: What Was Adjudicated?

marsbit1 год тому

Fired by Google Over a 14-Page Paper, Over 4,000 Rallied for Her. 6 Years Later: She Almost Predicted the Entire AI Era Back Then.

In late 2020, Google AI researcher Timnit Gebru was effectively dismissed following a conflict over a 14-page, unpublished research paper she co-authored titled "On the Dangers of Stochastic Parrots." The paper, which has since been cited over 14,000 times, raised critical early warnings about the risks of large language models (LLMs). It argued that these models, trained on vast, biased internet data, are essentially "stochastic parrots" that mimic language without true understanding, potentially amplifying societal biases, generating plausible but false information (later termed "AI hallucination"), consuming massive energy, and obscuring their training data contents. Gebru's stance led to a clash with Google management, who requested the paper's withdrawal. Her subsequent internal criticism of the company's diversity efforts and handling of the matter culminated in her termination, which sparked protests from over 4,000 Google employees and researchers. Six years later, the paper's predictions have proven remarkably prescient. Issues like AI hallucination, embedded bias (evident in resume screening and healthcare algorithms), soaring energy consumption from AI data centers, unvetted training data containing harmful content, and the risk of "model collapse" from AI-generated internet content have become central industry challenges. The incident also highlighted concerns about AI development being driven primarily by commercial competition within a handful of powerful tech companies, often at the expense of ethical considerations. After leaving Google, Gebru founded the Distributed AI Research Institute (DAIR) to explore these issues independently. The controversy underscores how her early, critical insights into the fundamental limitations and societal impacts of LLMs anticipated many of the most pressing dilemmas in today's AI era.

marsbit1 год тому

Fired by Google Over a 14-Page Paper, Over 4,000 Rallied for Her. 6 Years Later: She Almost Predicted the Entire AI Era Back Then.

marsbit1 год тому

Торгівля

Спот

Ф'ючерси

Обговорення

Ласкаво просимо до спільноти HTX. Тут ви можете бути в курсі останніх подій розвитку платформи та отримати доступ до професійної ринкової інформації. Нижче представлені думки користувачів щодо ціни ONE (ONE).

Robinhood Chain Testnet Hits 4M Transactions in Week One

Анотація

The Plan of Widening

Пов'язані питання

Пов'язані матеріали

Jensen Huang 'Saves' South Korean Stock Market: Locks In SK Hynix Memory, Chip Shortage to Continue

Nasdaq Plunges 4.2% in a Single Day: Does "Black Friday" Burst the U.S. Stock Market Bubble?

Nasdaq Plunges 4.2% in a Single Day, Did 'Black Friday' Pop the U.S. Stock Bubble?

The First Case on AI Agents: What Was Adjudicated?

Fired by Google Over a 14-Page Paper, Over 4,000 Rallied for Her. 6 Years Later: She Almost Predicted the Entire AI Era Back Then.

Торгівля

Популярні статті

Як купити ONE

Обговорення