Pakistan clears Binance and HTX to seek local crypto licenses

cointelegraphPublicado em 2025-12-12Última atualização em 2025-12-12

Resumo

Pakistan's Virtual Assets Regulatory Authority (PVARA) has granted preliminary no objection certificates (NOCs) to global cryptocurrency exchanges Binance and HTX, allowing them to begin the process of establishing local operations and applying for full licenses. This move is part of Pakistan's phased regulatory approach to crypto asset service providers, aligning with FATF Anti-Money Laundering (AML) policies. The announcement follows meetings between Pakistan's Finance Minister and key industry figures, including Binance executives and HTX adviser Justin Sun. Binance CEO Richard Teng confirmed the exchange also obtained an AML registration, marking a significant step toward deeper local collaboration and the development of a regulated digital asset ecosystem in Pakistan.

Pakistan’s authorities are moving to regulate major global cryptocurrency exchanges, issuing preliminary clearances to platforms including Binance to set up shop in the country.

The Pakistan Virtual Assets Regulatory Authority (PVARA) has granted no objection certificates (NOCs) to Binance and HTX, paving the way for the exchanges to register locally and pursue full licensing, the regulator announced on X on Friday.

The NOCs aim to ensure Pakistan’s phased approach to regulating crypto asset service providers in alignment with Anti-Money Laundering (AML) policies by the Financial Action Task Force (FATF), PVARA said.

“Strong governance, AML and CFT compliance remain central as Pakistan builds a trusted digital asset ecosystem,” the announcement noted.

CZ, Justin Sun meet with Pakistan’s finance minister

After receiving the NOCs, Binance and HTX are officially authorized to engage with the Securities and Exchange Commission of Pakistan (SECP), set up local subsidiaries and prepare their full license applications once regulations are finalized.

“The introduction of this structured NOC framework demonstrates Pakistan’s commitment to responsible innovation and financial discipline,” Pakistan’s Finance Minister Muhammad Aurangzeb said in a local report by ProPakistani.

As part of the initial engagement, Aurangzeb met with Binance CEO Richard Teng, Binance co-founder Changpeng “CZ” Zhao, and Tron founder Justin Sun, who currently serves as a global adviser to HTX.

*PVARA chairman Bilal bin Saqib, Binance co-founder Changpeng Zhao, Finance Minister Muhammad Aurangzeb and HTX adviser Justin Young (from left to right). Source:* *PVARA*

“A meaningful milestone for Binance in Pakistan,” Binance CEO Teng said in a post on X, adding that the exchange has obtained an AML registration from PVARA, moving it closer to full licensing and deeper local collaboration.

“Looking forward to building a safe, transparent and future-ready digital-asset ecosystem together,” he added.

Related: Coinbase mounts a cautious comeback in India, two years after exit

PVARA’s announcement came months after the authority held its first board meeting in August, proposing an initial licensing framework as well as taxation policies and international engagement.

The authority’s progress has been contributed Pakistan Crypto Council (PCC), a regulatory body that lists CZ as one of its advisors.

PVARA chairman Saqib, who serves as the Minister of State for Digital Assets, has urged the country’s authorities to take Bitcoin (BTC) and blockchain seriously as potential foundations for Pakistan’s future financial infrastructure.

“We see Bitcoin, digital assets, and blockchain not just as speculation but as infrastructure. Not as noise, but as a foundation of a new financial rail for the global south,” Saqib stated at the Bitcoin MENA Conference on Tuesday.

Criptomoedas em alta

CitreaCTR

wrapped stUSDTWSTUSDT

Velodrome FinanceVELODROME

BrevisBREV

PancakeSwapCAKE

JUSTJST

Leituras Relacionadas

Upbit Rebalances 864B SHIB In Internal Wallet Move

South Korean cryptocurrency exchange Upbit moved a total of 864 billion SHIB (worth approximately $4 million) between its internal wallet addresses. The activity, involving transfers of 384 billion SHIB outbound and 480 billion SHIB inbound, occurred following a 36% SHIB price rally. On-chain data indicates this was a routine internal wallet rebalancing operation by the exchange, not a sell-off or liquidation event. The article cautions that while large on-chain transfers are highly visible, they require proper context and wallet labeling to interpret correctly. In this case, the movement between known Upbit addresses does not inherently signal a change in market supply or selling pressure for SHIB.

bitcoinistHá 49m

Upbit Rebalances 864B SHIB In Internal Wallet Move

bitcoinistHá 49m

Can Generative Models Finally Be Trained End-to-End? The Core Is a For Loop

This article introduces a novel training paradigm for generative models called Explorative Modeling (XM), which enables true end-to-end training. Traditionally, powerful generative models like autoregressive and diffusion models are not trained end-to-end. They are trained to predict a single small step but require iterative multi-step sampling for inference. This "exposure bias" leads to error accumulation and limits performance. The core challenge XM addresses is "mode blurring." In generative tasks, a single input (e.g., "generate a dog") corresponds to many valid outputs (multiple modes). Standard training objectives like reconstruction loss force the model to average these modes, producing unrealistic, blurry outputs. To avoid this, existing models break generation into many small, almost deterministic steps, sacrificing end-to-end training. XM tackles this by restructuring the training loop itself. Its key insight is to amplify "generative expressivity." For each training input, instead of generating one sample, the model generates K candidate outputs. Only the candidate closest to the real data is used for computing the loss and updating the model via backpropagation. This simple "best-of-K" mechanism is implemented as a short for-loop. By exploring multiple possibilities, the model learns to distribute its guesses across different modes rather than collapsing to their uninformative average. The paper demonstrates that "exploration" acts as a new, powerful scaling axis. Gains from XM increase with model size, data scale, and compute. Experiments show improvements in FID scores for image generation and significant efficiency gains, sometimes outperforming larger models without exploration. When pushed to the limit, XM enables fully single-step, end-to-end generative models. In robotics tasks, an "Explorative Policy" matched the performance of a 100-step Diffusion Policy with a single forward pass, drastically improving inference speed. While the best-of-K concept is not entirely new, the authors' contribution lies in formally understanding it as a direct method to boost generative expressivity without fragmenting the generation process. This work suggests that as models scale, enhancing exploration during training may become crucial for overcoming fundamental performance bottlenecks.

marsbitHá 49m

Can Generative Models Finally Be Trained End-to-End? The Core Is a For Loop

marsbitHá 49m

A Maximum of 20 Submissions Per Person? DeepMind Researcher Satirically 'Petitions' Against ICLR's New Rule

The International Conference on Learning Representations (ICLR) 2027 has introduced a new submission rule limiting authors to a maximum of 20 papers per conference. This policy, announced due to a 68% surge in submissions for ICLR 2026 that strained the review system, aims to ensure fair and informative peer review. Google DeepMind researcher Dan Roy responded with a sarcastic petition on X, calling the 20-paper cap "absurd" and claiming it would slow AI progress. His post mockingly argued that AI agents can now produce incremental research and that large language models (LLMs) already handle all reviewing, so output should be maximized. This satire critiques the broader trend of AI's role in academia, referencing a 2025 study that found about 21% of ICLR 2026 reviews were likely fully AI-generated. Roy's underlying point questions whether simply capping submissions addresses the systemic issue of AI potentially flooding conferences with agent-written papers and AI-assisted reviews. The debate highlights tensions between managing submission volume and maintaining research quality as AI tools become pervasive.

marsbitHá 54m

A Maximum of 20 Submissions Per Person? DeepMind Researcher Satirically 'Petitions' Against ICLR's New Rule

marsbitHá 54m

Coldcard Vulnerability Leads to $89 Million Theft, Sparking Largest On-Chain Migration Since FTX Collapse

A security vulnerability in Coldcard hardware wallets led to the theft of 1,367.05 BTC (approx. $89 million) from 4,585 addresses, according to Galaxy Research. The flaw, caused by insufficient randomness in seed phrase generation for specific firmware versions, triggered a massive migration of funds as users moved assets to new, secure wallets. This event caused the largest on-chain movement of small Bitcoin transactions since the FTX collapse, distorting key market indicators like active addresses and exchange deposits, and significantly dampening market sentiment. The incident also highlighted challenges in cybersecurity investigations, as researchers reported that safety guardrails on mainstream U.S. AI models hindered the analysis of attack patterns, forcing them to use an open-source Chinese AI model for forensic work. This underscores a dilemma in balancing AI security restrictions with the need for rapid response in tracing stolen crypto assets.

marsbitHá 1h

Coldcard Vulnerability Leads to $89 Million Theft, Sparking Largest On-Chain Migration Since FTX Collapse

marsbitHá 1h

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

The AI boom is facing an unexpected bottleneck: a severe shortage of skilled construction workers and electricians. As tech giants like Meta, OpenAI, and Alphabet race to build massive data centers—such as OpenAI's $16 billion "Stargate" project—they are hitting a critical labor wall. The U.S. needs an estimated 130,000 more electricians, 240,000 construction workers, and 150,000 supervisors by 2030 for AI infrastructure alone, but tens of thousands of electrician jobs go unfilled each year. While AI companies offer high premiums, with electricians earning up to $280,000 annually, worker scarcity still causes massive losses—delays on a single project can cost $14.2 million per month. The complexity of building AI data centers, which require immense power (equivalent to powering hundreds of thousands of homes), sophisticated electrical systems, and advanced liquid cooling solutions, demands highly skilled technicians who are in short supply. To combat this, companies are investing heavily in training. Meta has committed $115 million to a free training school offering tuition, housing, and stipends, targeting 5,000 new workers. OpenAI is partnering with unions to secure skilled labor. These efforts are paying off, with a significant rise in Gen Z interest in trade schools over college. However, the power demands are staggering. AI data centers are driving a rapid surge in electricity consumption, projected to account for up to 12% of U.S. power use by 2028 and raising costs for consumers. Furthermore, the construction boom is project-based, leading to a potential future glut of trained workers once building peaks, which could depress wages industry-wide. The race for AI supremacy now depends as much on skilled hands as on advanced chips.

marsbitHá 2h

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

marsbitHá 2h

Trading

Spot

Artigos em Destaque

Como comprar HTX

Bem-vindo à HTX.com!Tornámos a compra de HTX DAO (HTX) simples e conveniente.Segue o nosso guia passo a passo para iniciar a tua jornada no mundo das criptos.Passo 1: cria a tua conta HTXUtiliza o teu e-mail ou número de telefone para te inscreveres numa conta gratuita na HTX.Desfruta de um processo de inscrição sem complicações e desbloqueia todas as funcionalidades.Obter a minha contaPasso 2: vai para Comprar Cripto e escolhe o teu método de pagamentoCartão de crédito/débito: usa o teu visa ou mastercard para comprar HTX DAO (HTX) instantaneamente.Saldo: usa os fundos da tua conta HTX para transacionar sem problemas.Terceiros: adicionamos métodos de pagamento populares, como Google Pay e Apple Pay, para aumentar a conveniência.P2P: transaciona diretamente com outros utilizadores na HTX.Mercado de balcão (OTC): oferecemos serviços personalizados e taxas de câmbio competitivas para os traders.Passo 3: armazena teu HTX DAO (HTX)Depois de comprar o teu HTX DAO (HTX), armazena-o na tua conta HTX.Alternativamente, podes enviá-lo para outro lugar através de transferência blockchain ou usá-lo para transacionar outras criptomoedas.Passo 4: transaciona HTX DAO (HTX)Transaciona facilmente HTX DAO (HTX) no mercado à vista da HTX.Acede simplesmente à tua conta, seleciona o teu par de trading, executa as tuas transações e monitoriza em tempo real.Oferecemos uma experiência de fácil utilização tanto para principiantes como para traders experientes.

3.1k Visualizações TotaisPublicado em {updateTime}Atualizado em 2026.06.02

Discussões

Bem-vindo à Comunidade HTX. Aqui, pode manter-se informado sobre os mais recentes desenvolvimentos da plataforma e obter acesso a análises profissionais de mercado. As opiniões dos utilizadores sobre o preço de HTX (HTX) são apresentadas abaixo.