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The Future of AI and its Capacity to Feel

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The Future of AI and its Capacity to Feel

In the fast-paced world of technology, an exciting topic emerges at the intersection between artificial intelligence and human emotions. This topic is relevant, as it takes us into a realm where AI is evolving to understand and express emotions more closely to humans. This article aims to explore this fascinating development and analyse its implications. We will address how machines can identify emotional patterns, adapt their responses, and examine how artificial empathy may impact areas such as healthcare, education, and social relations.

The current landscape of Artificial Intelligence


Artificial Intelligence (AI) has experienced dizzying progress in recent decades, positioning itself as one of the most exciting and promising technology areas. This rapid progress is primarily due to remarkable deep learning and neural network achievements. These two key areas have boosted the ability of machines to process information and learn similarly to humans.

Emotion in Artificial Intelligence 


Emotion is a distinctive feature of the human experience, influencing our decisions, social interactions and general well-being. For centuries, we have considered understanding and expressing emotion to be a uniquely human quality. However, with the rapid progress of Artificial Intelligence, a fascinating question arises: can machines develop genuine empathy, or is it simply a clever simulation?

Understanding and expressing emotions are two interconnected and complex aspects that form the basis of empathy. While emotional understanding involves detecting and recognising emotions in others, emotional expression is the ability to respond and show empathy to those emotions. In the human case, empathy allows us to put ourselves in the place of others and respond appropriately to their emotional states.

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In Artificial Intelligence, systems have advanced in identifying emotional patterns in speech, facial expression and other human behaviour. By processing natural language and analysing emotional data, AI can discern whether a user is happy, sad, angry or surprised. These adaptive responses result from complex algorithms that allow machines to mimic empathetic reactions.

Although AI has successfully mimicked empathic responses, there is still debate about whether machines can develop genuine empathy like that experienced by humans. Some argue that genuine empathy requires an internal, conscious understanding of emotions, which machines lack entirely. Although AI systems can adapt their responses based on detected emotions, their ability to empathise remains a simulation based on previously established patterns.

Machine learning techniques and analysing large emotional datasets make emotional pattern recognition in AI possible. These algorithms allow machines to classify emotions and associate them with appropriate responses. For example, in healthcare, some AI systems detect early signs of mental health problems, such as depression and anxiety, by analysing emotional patterns in patients’ language. The future of artificial empathy remains an exciting and evolving topic, with the potential to transform human-machine interaction in many areas of modern life.

Implications in various areas


Artificial empathy can transform numerous fields, such as healthcare, education and social interaction. In healthcare, advances in detecting emotional patterns in patients’ speech and language may enable earlier diagnoses of mental disorders, providing additional therapeutic support. In education, AI assistants who understand and respond to students’ emotions can enhance the learning experience and foster a more supportive and personalised environment.

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Artificial empathy may also have applications in social interaction, such as chatbot assistants that provide emotional support and companionship to people facing loneliness or isolation. Furthermore, empathetic AI systems can improve customer satisfaction in the customer service industry by providing more personalised and attentive responses to users’ emotional needs.

The potential benefits of artificial empathy are diverse. By improving human-machine interaction, more seamless and satisfying communication could be established. This could lead to greater adoption and acceptance of the technology, boosting its integration into various spheres of society.

However, ethical and philosophical questions arise as AI moves towards greater artificial empathy. Should we grant machines the ability to understand and respond to our emotions? To what extent is allowing technology to influence our decisions and emotional states ethical? These questions raise challenges about privacy, informed consent and responsibility in developing and using this technology.

The road to artificial empathy


Developing authentic artificial empathy presents complex technological challenges. While AI systems can identify emotional patterns, genuinely understanding human emotions requires a deep and conscious understanding that goes beyond current algorithms. Moving in this direction will require interdisciplinary research spanning neuroscience, psychology and philosophy to understand better human nature and how emotions influence our decisions and actions.

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In addition to the technological challenges, we must also consider artificial empathy’s ethical and social implications. It is essential to address questions such as the responsibility of companies and developers when implementing this technology, as well as ensuring transparency and informed consent of users.

A call for responsibility in developing and using artificial empathy becomes essential. As we move towards this exciting future, we must ensure that technology serves humanity and not vice versa. Artificial empathy must be used to improve the quality of people’s lives while respecting autonomy and human dignity.

Conclusion


In conclusion, advances in detecting emotional patterns in artificial intelligence present exciting possibilities in healthcare, education and social interaction. However, these advances also confront us with significant ethical and philosophical challenges.

It is imperative to address responsibility in developing and using artificial empathy. The privacy and autonomy of users must be safeguarded to avoid emotional manipulation and ensure the ethical use of technology.

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Interdisciplinary research in neuroscience, psychology and philosophy will be essential to achieve more authentic artificial empathy. A better understanding of human nature and how emotions influence our decisions and actions is crucial to the responsible development of this technology.



As we move towards a future where technology and emotions converge, we must ensure that artificial empathy is used to improve quality of life and human well-being. Ethics must guide our steps, ensuring that artificial empathy is a tool that benefits society as a whole.

The road to authentic artificial empathy can be challenging, but it is a road worth travelling. By focusing on responsible principles, transparency and an understanding of human nature, we can fully harness the potential of artificial empathy to build a more humane and compassionate future.

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SBI Ripple Asia Receives Japanese Regulatory Green Light for XRPL Token Platform

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Brian Armstrong's Bold Prediction: AI Agents Will Soon Dominate Global Financial

Key Highlights

  • Japanese regulators authorize SBI Ripple Asia’s XRPL Token Platform
  • Platform facilitates regulated token creation under Japanese financial legislation
  • Businesses gain blockchain access through streamlined API connectivity
  • System operates within Japan’s prepaid payment regulatory structure
  • Strategic focus includes real-world applications and international payment corridors

Following regulatory authorization from Japanese financial authorities, SBI Ripple Asia has officially introduced its XRPL Token Platform. This blockchain-based infrastructure enables organizations to issue digital tokens while maintaining full compliance with Japan’s financial regulatory framework. The development represents a significant milestone in merging distributed ledger technology with traditional payment ecosystems.

Blockchain Platform Debuts with Enterprise API Capabilities

SBI Ripple Asia has finalized its XRPL Token Platform utilizing the XRP Ledger as its foundational technology. This infrastructure provides organizations with capabilities to create and administer digital tokens through on-chain mechanisms. Enterprise clients can integrate blockchain functionality into their existing systems via application programming interfaces without disrupting end-user experiences.

The platform architecture facilitates smooth incorporation with established digital services and customer-facing applications. End users gain access to tokenized financial instruments while maintaining familiar interaction patterns. Proprietary wallet management technology embedded in the system delivers robust security protocols for digital asset custody.

Compliance with Japan’s Payment Services Act forms a core component of the XRPL Token Platform’s operational framework. Organizations can launch tokenized prepaid financial products within established regulatory boundaries. The infrastructure supports enterprise-grade scalability across diverse operational contexts.

Official Registration Unlocks Compliant Digital Payment Products

On March 26, 2026, SBI Ripple Asia obtained official registration as an authorized issuer of third-party prepaid payment instruments. This regulatory milestone empowers the XRPL Token Platform to launch compliant digital financial offerings. The company now operates as a legitimate bridge connecting blockchain innovation with supervised financial services.

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This official status reinforces the legal infrastructure supporting the XRPL Token Platform within Japan’s financial sector. The authorization permits issuance of prepaid payment products underpinned by blockchain tokens. Regulatory oversight mechanisms remain fully integrated throughout the operational framework.

Through this positioning, SBI Ripple Asia establishes itself within Japan’s regulated digital asset landscape. The platform supports expanded utilization of blockchain-powered payment solutions. This framework demonstrates increasing institutional commitment toward compliant tokenization strategies.

Strategic Roadmap Emphasizes Practical Implementation and Regional Payment Networks

SBI Ripple Asia intends to implement the XRPL Token Platform across geographically focused economic areas including tourism-intensive regions. The infrastructure will connect consumer transactions with digital reward mechanisms and payment processing systems. Novel approaches to customer loyalty initiatives and transaction-based incentives become feasible through this framework.

The platform aims to enhance operational scalability and reduce transaction costs throughout collaborative business networks. Strategic partnerships with regional businesses and municipal organizations form a central component of the expansion strategy. These alliances will accelerate implementation in tangible commercial settings.

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SBI Ripple Asia maintains active research initiatives focused on XRPL applications within Asian payment channels. Collaborative investigation with South Korea’s DSRV targets improvements in international money transfer systems. The XRPL Token Platform holds potential to optimize transaction speed and cost-effectiveness for Japan-South Korea payment flows.

 

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Quantum threat to Bitcoin is real, but manageable, according to Wall Street broker Bernstein

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Quantum computing could break Bitcoin sooner, says Google

Wall Street broker Bernstein said the rise of quantum computing poses a credible but manageable threat to Bitcoin and the broader crypto ecosystem, as recent breakthroughs compress timelines for potential attacks on modern cryptography.

Advances such as Google Quantum AI’s reported reduction in qubit requirements suggest the risk is no longer a distant, decade-long concern, the broker noted. Still, the firm cautioned that scaling quantum systems to the level needed to break widely used encryption remains a complex, multi-step challenge.

“Quantum should be seen as a medium to long term system upgrade cycle rather than a risk,” analysts led by Gautam Chhugani said in the Wednesday report.

Quantum computing uses the principles of quantum mechanics rather than classical physics. Instead of binary bits, it relies on qubits that can exist in multiple states at once, a property known as superposition, allowing many possibilities to be processed simultaneously.

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Combined with entanglement, this enables quantum systems to solve certain problems, such as breaking encryption, far more efficiently than classical computers.

Quantum computers could eventually weaken cryptographic systems like elliptic curve encryption, which underpin crypto wallets, by solving problems beyond the reach of classical machines. However, the report said the threat spans industries from finance to defense and should be viewed as a manageable, long-term risk rather than an existential one for Bitcoin.

Exposure is concentrated in roughly 1.7 million BTC held in older, “legacy” wallets, while newer practices and protocols reduce vulnerability. Bitcoin mining, which relies on SHA-based hashing, remains effectively secure even in advanced quantum scenarios, the broker said.

Bernstein expects the crypto industry to have sufficient time, around three to five years, to transition toward post-quantum cryptography, with upgrades such as new wallet standards, reduced address reuse and key rotation already under discussion.

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One recent academic paper said that attacking the Bitcoin blockchain through quantum mining would demand the energy output of a star.

Read more: Attacking bitcoin mining with a quantum computer would require the energy of a star, academics say

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Bitget Boss Gracy Chen Calls Hyperliquid a Fake DEX And Crypto Twitter Explodes

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🛡

Bitget CEO Gracy Chen posted on X on April 7, calling Hyperliquid ‘immature, unethical, and unprofessional’ – and branded the platform an overmarketed fake crypto DEX that poses ‘FTX 2.0’ risks to users. The post landed like a grenade on Crypto Twitter, igniting one of the sharpest CEX vs DEX exchanges the industry has seen in years.

This isn’t background noise. Hyperliquid has been pulling serious volume – consistently above $1B in daily perp trades, directly cannibalising the perpetuals business of mid-tier and top-tier centralised exchanges, including Bitget.

Key Takeaways:
  • The accusation: Gracy Chen, Bitget CEO, publicly called Hyperliquid an ‘overmarketed’ fake DEX on April 7, warning of systemic risks comparable to FTX and describing it as an ‘offshore CEX with no KYC/AML.’
  • The trigger: Hyperliquid’s small validator set unanimously delisted the JELLY memecoin perp market on March 26 and force-settled positions at $0.0095 after an attacker used a $6M short to exploit the HLP vault – exposing the platform’s centralized emergency override capability.
  • The structural critique: Chen argued that Hyperliquid’s mixed vaults expose all users to collective risk from individual manipulators, and that foundation-level intervention in open markets sets a ‘dangerous precedent.’
  • The volume context: Hyperliquid’s HYPE token and platform growth represent a direct threat to CEX perp revenue – making Chen’s critique land somewhere between principled concern and competitive self-interest.
  • Industry split: BitMEX co-founder Arthur Hayes echoed decentralization concerns but downplayed long-term damage; Hyperliquid’s community pushed back hard, accusing Chen of conflating valid critique with CEX protectionism.
  • What’s next: Hyperliquid has flagged validator expansions and HLP upgrades post-JELLY; Bitget’s Q2 2026 volume numbers will tell whether the controversy moved any market share.

Discover: The Best Crypto Exchanges for Active Traders

What Chen Actually Said and Why It Hit a Nerve With Hyperliquid

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Chen’s post was direct: Hyperliquid operates like an ‘offshore CEX with no KYC/AML’ dressed in DeFi branding, and the JELLY incident proved it. Her core charge – that the decision to close the JELLY market and force-settle positions ‘sets a dangerous precedent’ – targeted the exact mechanism Hyperliquid uses to separate itself from traditional finance: on-chain, non-custodial execution with validator consensus.

The JELLY incident on March 26 gave Chen’s critique its teeth. An attacker opened a $6M short on the newly listed JELLY memecoin perp – a token launched in January 2025 by Venmo co-founder Iqram Magdon-Ismail – then pumped the token’s on-chain price to trigger self-liquidation, threatening over $10M in losses for the HLP vault.

Hyperliquid’s validators responded by unanimously delisting the market and forcing settlement at $0.0095, shielding the vault but overriding open user positions in the process.

That intervention is the live evidence Chen is working with. Hyperliquid has built its brand – and its HYPE token valuation on the decentralization claim. Force-settling user positions via coordinated validator action isn’t what decentralized looks like. And Chen said so, loudly, with FTX in the headline.

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Explore: The best pre-launch token sales with asymmetric upside potential

Why Bitget Is Really Swinging – and What Hyperliquid Crypto Has to Lose

The real story isn’t just executive-level beef. It’s volume. Hyperliquid has been consistently running $1B+ in daily perpetual volume – the core product category that CEXs, such as Bitget, depend on for fee revenue.

As centralized exchange dynamics shift and traders grow more comfortable with on-chain execution, every dollar that moves to Hyperliquid is a dollar not clearing through a CEX order book.

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Source: Hyperliquid DEX Volume / DefiLlama

Chen’s timing matters. Her post came roughly two weeks after the JELLY incident gave her a concrete structural failure to point at.

That isn’t a coincidence, it’s the competitive calculus of a CEO watching market share migrate on-chain and identifying the moment the migration narrative cracks.

AP Collective founder Abhi had already detailed the $6M short self-liquidation tactic publicly; Chen amplified the structural critique to a broader audience with FTX-level stakes framing attached.

The HYPE token is also part of this. Hyperliquid’s native token had become a proxy bet on the platform’s continued volume growth and its positioning in the expanding DeFi infrastructure landscape. Attacking the platform’s decentralization credentials directly attacks the thesis behind HYPE’s valuation – and every holder in the community knows it.

Is Hyperliquid Actually Decentralized?

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Hyperliquid runs on a purpose-built L1 using HyperBFT consensus, with on-chain order matching and a non-custodial settlement model via its HyperLiquidity Provider vault.

On paper, that’s meaningfully different from a CEX, no withdrawal risk, no opaque internal matching. But the validator set is small, permissioned, and operated by a tight group – and the Hyper Foundation retains emergency intervention capability that it exercised in the JELLY case without a community governance vote.

BitMEX co-founder Arthur Hayes stated the community should ‘stop pretending Hyperliquid is decentralized’ – echoing Chen’s framing from a less commercially conflicted position.

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Hayes walked back the severity, later arguing that initial reactions overestimated the reputational damage and urged focus on the platform’s resilience.

But the structural question didn’t go away with his reassessment.

Discover: The Best Crypto Presales Live Right Now

The post Bitget Boss Gracy Chen Calls Hyperliquid a Fake DEX And Crypto Twitter Explodes appeared first on Cryptonews.

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Crypto inflows slowed sharply in first quarter as investor demand weakened, says JPMorgan

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Crypto inflows slowed sharply in first quarter as investor demand weakened, says JPMorgan

Wall Street investment bank JPMorgan (JPM) said the pace of capital flowing into digital assets slowed markedly in the first quarter of 2026, with total inflows estimated at around $11 billion.

That implies an annualized run rate of roughly $44 billion, about one-third of the pace seen in 2025, according to the report published last week.

“Investor flows, either retail or institutional, have been small or even negative YTD with the bulk of the digital asset flow in Q1’26 stemming from Strategy’s (MSTR) bitcoin purchases and concentrated crypto VC funding,” wrote analysts led by Nikolaos Panigirtzoglou.

Crypto markets had a volatile and broadly negative first quarter, with prices and market value retreating sharply amid a risk-off backdrop. Total crypto market capitalization fell roughly 20% over the period, while bitcoin dropped around 23% and ether (ETH) declined more than 30%, marking one of the weakest first-quarter performances in years.

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The selloff was driven by macroeconomic and geopolitical pressures, triggering liquidations and a broad pullback in risk assets, with altcoins hit even harder.

Despite the downturn, prices stabilized toward the end of the quarter, with bitcoin consolidating near the $70,000 level as ETF demand improved and some pockets of the market, such as select altcoins and onchain activity, showed resilience.

The bank’s estimate aggregates crypto fund flows, Chicago Mercantile Exchange (CME) futures positioning, venture capital fundraising and corporate treasury activity, including bitcoin purchases by firms such as Strategy.

The analysts said investor-driven flows were notably weak. Positioning in bitcoin and ether CME futures softened versus 2024 and 2025, suggesting institutional demand may have turned slightly negative year-to-date. Spot bitcoin and ether exchange-traded funds (ETFs) also saw net outflows during the quarter, concentrated in January, before a modest rebound in bitcoin ETF inflows in March.

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The bank’s analysts attributed most of the quarter’s inflows to corporate treasury activity and venture funding. Strategy remained a dominant buyer, funding bitcoin purchases largely through equity issuance, while signaling continued reliance on stock and preferred issuance to finance accumulation. Other corporate holders were more defensive, with some selling bitcoin to fund buybacks.

Bitcoin miners were net sellers during the quarter, the report said, as firms sold holdings or used them as collateral to shore up liquidity, fund capital expenditures or manage liabilities. The analysts characterized the selling as driven by tighter financing conditions and balance sheet discipline rather than distress.

Crypto venture capital was a relative bright spot. Funding tracked an annualized pace above the prior two years, though activity was increasingly concentrated in fewer, larger deals led by established firms. Capital continued to rotate toward infrastructure, stablecoins, payments and tokenization, with less interest in gaming, non-fungible tokens (NFTs) and exchange-related projects, the report added.

Read more: Bitcoin holds ground as gold, silver slide on ETF outflows and liquidity strains: JPMorgan

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Diplomatic Signals Revive Cheer in the Market

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Crypto Breaking News

Diplomatic Signals Revive Cheer in the Market

Authorities on both sides, as well as regional mediators, are still negotiating conditions of a temporary truce. In addition, the suggested ceasefire would open significant trade routes and take the strain off world markets. These news items favored returns in risk assets, such as cryptocurrencies and US stock futures. The US President Donald Trump spoke about the situation at a regular press conference, pointing to continuing negotiations. Moreover, he also prolonged a deadline concerning possible military intervention, which indicated the possibility of further negotiations. There was a response by market participants to these updates as de-escalation expectations rose.

The decrease in oil prices was caused by the expectation of a ceasefire, which reduced worries about supply disruption. Prices were on a downward swing, with energy markets showing improved mood. Therefore, the fall in oil prices helped the recovery of Bitcoin and the subsequent rise of the market. The surge in the value of Bitcoin to over 70,000 caused a run-up in the values of other leading digital currencies such as Ethereum, XRP, Solana and Cardano. Also, the wider crypto market saw high buying behaviour with prices rising accordingly. This collaborative action emphasised the impact of Bitcoin on the general market trend.

Due to the price explosion, there was a dramatic short sale in the derivatives market within a short time. Additionally, the volume of trading was high, indicating that more traders were involved. Statistics also revealed that there was an increase in futures open interest, meaning that more people are taking leveraged positions. The Strait of Hormuz remains a focal point of developments in the markets because of its significance in the oil supply in the world market. Also, any advancement in the negotiations can affect the energy market and financial market in the short term. This relationship continues to bind geopolitical events to crypto price changes.

Risk & affiliate notice: Crypto assets are volatile and capital is at risk. This article may contain affiliate links. Read full disclosure

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South Korea Eyes FX Oversight for Stablecoins in Draft Bill

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South Korea Tax Office Eyes Private Custody After Seized Crypto Loss

South Korea’s ruling Democratic Party is reportedly preparing a draft bill that would classify stablecoins as foreign exchange payment instruments and require tokenized real-world assets (RWAs) to be backed by assets held in trust. 

Citing an integrated draft of the proposed Digital Asset Basic Act, the Seoul Economic Daily reported on Wednesday that stablecoins used in cross-border transactions would be treated as “means of payment” under the Foreign Exchange Transactions Act, placing related businesses under oversight even without separate registration.

The draft bill would also require issuers of tokenized RWAs to place underlying assets in managed trusts under the Capital Markets Act. 

If implemented, the changes would bring stablecoins and tokenized RWAs under existing financial rules, tightening oversight of cross-border flows and setting custody requirements for underlying assets.

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Cointelegraph could not independently verify the draft provisions through a public National Assembly filing as of Wednesday. 

Stablecoin draft targets cross-border use, bans interest

The Seoul Economic Daily also reported that the draft would exempt certain stablecoin payments for goods and services from foreign exchange reporting requirements within a defined scope.  

The draft also reportedly bars issuers from paying interest to holders of value-stable digital assets, regardless of how the incentive is labeled. It would also require the Financial Services Commission to establish technical standards aimed at ensuring interoperability across digital asset networks, the report said.

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Related: Crypto exchange Bithumb to delay IPO until after 2028: Report

The reported approach aligns with earlier concerns raised by South Korea’s central bank.

On Jan. 27, Bank of Korea Governor Lee Chang-yong warned that Korean won-denominated stablecoins could complicate capital-flow management and foreign exchange stability, adding to the debate over how domestic stablecoins should be regulated.

New draft would move tokenization into existing structures

On the RWA side, the draft would reportedly require issuers to place linked assets in managed trusts under the Capital Markets Act. The requirement would tie tokenized asset issuance to existing custody frameworks, according to the report. 

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According to the report, key issues like exchange ownership limits and bank-related requirements for stablecoin issuers were not included in the draft.

The omissions come amid broader disagreements over how the bill should regulate stablecoins. On Dec. 31, disagreements over stablecoin oversight and issuer requirements had delayed the Digital Asset Basic Act.

Magazine: ‘Phantom Bitcoin’ checks, Drift hack linked to North Korea: Asia Express