SEC Extends Review of Nine Crypto ETF Filings Into October

TheCryptoTimesОпубліковано о 2025-08-19Востаннє оновлено о 2025-08-19

The US Securities and Exchange Commission (SEC) has pushed back decisions on a fresh round of cryptocurrency exchange-traded fund (ETF) proposals, leaving Bitcoin, Ethereum, Solana, and XRP funds waiting until October for a verdict.

In notices filed on August 18, the regulator extended its review period for multiple applications, including the Truth Social Bitcoin and Ethereum ETF, spot Solana ETFs from 21Shares and Bitwise, and the 21Shares Core XRP Trust.

The new decision dates now fall on October 8 for the Truth Social ETF, October 16 for the Solana filings, and October 19 for the XRP trust.

The Truth Social Bitcoin and Ethereum ETF, first submitted on June 24, is structured as a commodity-based trust that directly holds Bitcoin and Ether. Shares of the fund would be backed by the underlying assets.

Despite its branding under Donald Trump’s Truth Social platform, the product is designed to function in the same way as other spot Bitcoin and Ether ETFs already approved in the United States.

The Cboe BZX exchange is also seeking approval for the first spot Solana ETFs in the country, filed separately by 21Shares and Bitwise. These funds would give institutional and retail investors regulated access to Solana’s price movements.

In addition, 21Shares has applied for a Core XRP Trust, a product designed to hold XRP and mirror its market value. The application, initially filed in February, was approaching its 180-day deadline before the SEC extended its review by another 60 days.

Beyond these products, the SEC also pushed back rulings on other crypto-linked filings, including CoinShares’ proposed spot Litecoin ETF and Grayscale’s application for a spot Dogecoin ETF. The regulator has delayed a total of nine applications, with most of the new deadlines set for October.

Bloomberg ETF analysts Eric Balchunas and James Seyffart said the delays appear to reflect the SEC’s broader strategy of developing a framework for digital asset ETFs rather than continuing with the current case-by-case approval system.

Seyffart suggested that the commission is working on creating clear listing standards that would define which digital assets can be wrapped into ETFs and under what criteria.

The approach could provide greater consistency for the growing number of crypto ETF applications, but in the meantime, issuers and investors will have to wait longer for clarity.

Also Read: Grayscale Files with SEC for Dogecoin ETF Under Ticker GDOG

Follow The Crypto Times on Google News to Stay Updated!

Трендові криптовалюти

CitreaCTR

wrapped stUSDTWSTUSDT

Velodrome FinanceVELODROME

BrevisBREV

ZRX（0X）ZRX

PancakeSwapCAKE

Пов'язані матеріали

Why Do We Need an AI Content Perspective Today?

The article "Why Do We Need an AI Content Perspective Today?" explores the complex and often contentious integration of AI into the cultural and creative industries, particularly film and television. It begins with the cancellation of Amazon's AI-generated animation "Punky Duck," highlighting the ethical debates surrounding AI content. AI's rapid advancement is transforming video production, enabling cost-effective, full-length AI films (e.g., "RAPHAEL," "Dreams of Violets") while sparking industry resistance over issues like "synthetic actors." The core debate has shifted from whether to use AI to how to use it responsibly. The article analyzes why AI's entry into film is uniquely unsettling. It distinguishes between "cultural fast food" (short-form, fast-paced content like micro-dramas) and "cultural main courses" (traditional, long-form film/TV). AI currently excels at the former, matching its fragmented narratives, shallow emotional needs, and free-to-consumer models. However, venturing into the latter challenges the human-centric essence of storytelling—creativity, emotional depth, and the unique value of human labor and experience. While AI can generate massive volumes of content and lower costs, it risks devaluing human creativity, leading to homogenized output, and creating unfair competition through potential intellectual property infringement. Its efficiency also amplifies content safety risks, making preemptive governance crucial. To counter these risks, the article proposes establishing clear boundaries guided by a human-centered AI content perspective. It outlines four principles: 1) Amplify, rather than displace, human creative space; 2) Respect and protect human creative output; 3) Ensure human creative control and responsibility remain paramount; and 4) Guarantee transparency and traceability in AI creation. The conclusion emphasizes that humans must act as the "helmsmen" of technology, steering AI development to enhance, not replace, the core human values at the heart of cultural expression.

marsbit23 хв тому

Planck Retracted? The Father of Quantum Tripped by an Algorithm

The recent discovery that two articles (published in 1940 and 1942) by Max Planck, the Nobel laureate and founder of quantum theory, are marked as "retracted" on Springer's digital platform highlights a curious clash between historical publishing practices and modern automated systems. An investigation suggests these retractions are algorithmic errors, not due to fraud or misconduct. The papers, philosophical reflections on science published in *Die Naturwissenschaften*, were likely flagged by the platform's systems. One article, a republished lecture, may have been mistaken for duplicate publication. Another, sharing a title with a prior article by a different author (a common practice for continuing debates at the time), may have triggered a similar automated check. The digital versions have even been replaced with blank pages, contrary to normal practice of preserving retracted texts. This incident underscores how contemporary digital infrastructure, built around concepts like "self-plagiarism" and strict copyright, can misclassify and obscure legitimate historical scholarly communication. It serves as a warning that digital archives are not neutral mirrors of the past but are filtered by platform rules, potentially distorting the scientific record. As AI systems increasingly rely on such databases, such erroneous metadata could propagate, affecting how future tools interpret and access historical knowledge.

marsbit27 хв тому

Planck Retracted? The Father of Quantum Tripped by an Algorithm

marsbit27 хв тому

Refunds! Claude 4.8 Sees Overnight Major 'Dumb-Down', GPT-5.6's Computational Power Reportedly 'Halved'

The AI community is currently alarmed by widespread reports of significant performance degradation in two leading models. This article details a "mass self-testing frenzy" triggered by a mysterious prompt designed to detect a hidden "Juice" value, representing a model's reasoning compute budget. On OpenAI's side, users suspect a covert, limited test of a "GPT-5.6-sol" model is underway. When using a specific XML prompt on the Codex platform, a normal "gpt-5.5 xhigh" model reportedly returns a Juice value of 768. However, some users routed to the suspected GPT-5.6 test receive a drastically reduced value of 128—a six-fold decrease. This has sparked debate on whether it signifies a major efficiency leap or a "watered-down, low-cost version" achieved by slashing reasoning depth to save computational expenses. Simultaneously, Anthropic's Claude models, particularly the flagship Opus 4.8 Max, are facing intense user backlash for a perceived "physical brain cut." Users on platforms like Reddit report a dramatic decline in the model's once-impressive reasoning, with complaints of it becoming "absurdly" weakened, performing worse than older, lighter models like Haiku. Specific criticisms include: losing long-context memory, refusing to think deeply even in high-reasoning modes, providing instant incorrect answers, and engaging in unhelpful, argumentative, or "gaslighting" behavior where it contradicts users unnecessarily. The article speculates these "stealth downgrades" might be a calculated corporate strategy. Companies could initially release models with temporarily boosted compute to create an illusion of a major breakthrough, then silently scale back parameters later to manage unsustainable inference costs. A proposed underlying cause is a tightened funding environment, potentially exacerbated by SpaceX's massive IPO soaking up market liquidity, which could delay AI company IPOs and force cost-cutting measures like model "nerfing." The core issue highlighted is the asymmetry of information: subscribers pay for a service that can be silently and fundamentally altered without notification or explanation. The viral "Juice test" resonates because it represents users' desire for transparency about what they are actually paying for.

marsbit1 год тому

Refunds! Claude 4.8 Sees Overnight Major 'Dumb-Down', GPT-5.6's Computational Power Reportedly 'Halved'

marsbit1 год тому

World Cup Prediction Market Frenzy: $3.3 Billion in Total Volume, Half of Funds Bet on Long Shots

World Cup prediction markets see unprecedented activity, with a total trading volume surpassing $3.3 billion, dwarfing this year's Super Bowl market. Markets favor France and Argentina as the top contenders to win and reach the final, with traders betting on a repeat of the 2022 final matchup. However, a striking market anomaly emerges: approximately $1.6 billion—half of the total volume—is invested in long-shot teams with winning probabilities of 1% or less, such as Ivory Coast, Mexico, and Egypt. This reflects unique prediction market dynamics where historical, speculative, or hedged positions can inflate trading figures for unlikely outcomes, contrasting sharply with concentrated confidence in top favorites. The sports-driven boom is fueling growth across non-sports prediction markets like geopolitics and elections, with weekly industry volume hitting a record $14.5 billion. Amid this expansion, regulatory scrutiny is intensifying, with the CFTC investigating platforms like Polymarket over legal boundaries between event contracts and gambling.

Foresight News1 год тому

World Cup Prediction Market Frenzy: $3.3 Billion in Total Volume, Half of Funds Bet on Long Shots

Foresight News1 год тому

Autheo Introduces the Internet Operating System: A Decentralized Coordination Layer for Web, Blockchain, & AI

Autheo has launched its Mainnet, introducing a decentralized operating system designed as a coordination layer to enable interoperability between the traditional Web, blockchain networks, and AI agents as a single system. Founded in 2021, the platform combines a sovereign Cosmos-based Layer 0, a native EVM-compatible Layer 1, and PQCNet—a quantum-resistant identity and communications framework built on NIST-standardized post-quantum cryptography. Its native identity is built on W3C-compliant Decentralized Identifiers (DIDs). Following a public testnet that saw significant adoption (over 1.8 million wallets and 960,000 smart contracts), Mainnet is now live. Developers can deploy Solidity contracts natively and access native IBC interoperability. The network aims to provide a shared substrate for identity, messaging, compute, and execution, allowing applications and autonomous agents to interact without relying on fragmented, brittle integrations. The project is backed by an experienced team and partners, with a focus on expanding Web2, Web3, and AI ecosystem partnerships.

TheNewsCrypto1 год тому

Autheo Introduces the Internet Operating System: A Decentralized Coordination Layer for Web, Blockchain, & AI

TheNewsCrypto1 год тому

Торгівля

Спот

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 F (F).