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Thailand Tightens Crypto Rules While Expanding Bitcoin Products

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Crypto Breaking News

Hidden Funders Face Shareholder-Level Scrutiny

Thailand is moving to tighten control over crypto ownership structures while expanding regulated market access. Authorities plan to track hidden financiers and restrict illicit capital flows. At the same time, regulators are opening pathways for Bitcoin-linked derivatives and exchange-traded products.

Ownership Reforms Expand Control Definitions

Thailand’s Securities and Exchange Commission is preparing rules to capture undisclosed financial backers of crypto firms. The proposal targets entities that provide significant funding support to formal shareholders. It aims to align their oversight with existing major shareholder approval standards.

The framework will cover guarantees, structured financing, and layered investment arrangements. Regulators believe these tools often obscure real control within crypto businesses. Therefore, the new approach will extend accountability beyond visible ownership records.

The rules will apply to licensed exchanges, brokers, and dealers under the digital asset business law. Authorities intend to close gaps that allow indirect influence without formal disclosure. As a result, firms must reassess relationships with silent financial partners.

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AML Crackdown Intensifies as Market Opens

Earlier measures already tightened definitions of major shareholders within digital asset companies. Authorities now classify individuals with more than five percent voting rights as key stakeholders. Moreover, they include those exercising control through indirect or operational influence.

The Ministry of Finance introduced these updates to strengthen transparency across the sector. Regulators want to ensure that control reflects actual decision-making power. Consequently, firms must identify all parties exerting meaningful influence over management.

Companies have received a 180-day window to review and update ownership disclosures. They must submit approval requests for any newly identified major shareholders. This process aims to eliminate nominee arrangements and layered holding structures.

Authorities will also apply look-through tests to funding channels linked to ownership control. These checks will trace capital sources behind complex financial arrangements. Therefore, financiers shaping business outcomes will fall under regulatory supervision.

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Thailand is increasing enforcement against money laundering activities tied to digital asset platforms. Authorities recently froze thousands of suspicious accounts linked to mule wallet operations. This move signals a stronger stance against illicit transaction networks.

Regulators are also advancing rules requiring transaction data sharing between crypto service providers. The framework will mandate identification details for both senders and recipients. This system aims to improve traceability across digital asset transfers.

Officials view these measures as essential for protecting market integrity and preventing fraud. They are integrating global compliance standards into domestic regulations. As a result, the ecosystem faces tighter monitoring and reporting obligations.

At the same time, Thailand is promoting regulated crypto investment products. Authorities now recognize cryptocurrencies as eligible underlying assets for derivatives markets. This shift supports the launch of structured financial products tied to digital assets.

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Regulators are also preparing guidelines for crypto exchange-traded funds within the domestic market. The framework will allow limited portfolio exposure to digital assets. This approach balances innovation with controlled risk management.

Thailand’s dual strategy reflects stricter oversight alongside measured market expansion. Authorities aim to attract institutional participation while limiting financial crime risks. Consequently, the country is positioning itself as a regulated hub for digital asset activity.

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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Alibaba leads $290m investment for Shengshu Vidu AI world model

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Markets will soon go back to being driven by AI investment, says Aperture’s Peter Kraus

A mechanical hand is on display at the Robot Mall, world’s first embodied intelligent robot 4S store, on August 13, 2025 in Beijing, China.

Vcg | Visual China Group | Getty Images

BEIJING — Alibaba Cloud is investing in a new type of artificial intelligence designed to better replicate the real world using a different approach from chatbots such as OpenAI’s ChatGPT.

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The shift recognizes the limits of “large language models” trained primarily on text. Instead, developers are starting to focus more on “world models” built on videos and real-life physical scenarios.

To jump on the trend, Alibaba led a 2 billion yuan ($290 million) investment in ShengShu, the startup behind the AI video generation tool Vidu, the company announced Friday. TAL Education and Baidu Ventures also participated in the series B funding round.

The investment comes about two months after ShengShu raised 600 million yuan from Qiming Venture Partners and other backers. The startup declined to disclose its valuation.

ShengShu said the latest funding will support the development of a “general world model” that uses AI to bridge two currently separate domains: the digital world of games and AI-generated video, and the physical world of autonomous driving and robots.

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“ShengShu believes that a general world model, built on multimodal data such as vision, audio, and touch, more naturally captures how the physical world works than large language models,” the three-year-old startup said in a statement.

Markets will soon go back to being driven by AI investment, says Aperture’s Peter Kraus

“We aim to connect perception and action,” Zhu Jun, founder of ShengShu, added in a statement, allowing AI systems to better model and predict real-world behavior consistently.

ShengShu’s latest Vidu Q3 Pro model, released in January, ranks among the top 10 AI models for generating videos from text and images, according to Artificial Analysis.

The company launched Vidu globally months before OpenAI made its now-shuttered Sora tool for AI video generation widely available. Chinese short-video companies Kuaishou and ByteDance have also released similar competing AI tools for generating videos.

World model competition

Alibaba has expanded its investments in related startups.

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The Chinese tech giant and Baidu Ventures last month led a $50 million investment in Tripo AI, a platform that uses AI to quickly generate digital 3D models from photographs. Tripo said it is also moving away from techniques used by language models toward AI tools grounded in physical space and is developing its own world model.

In September, Alibaba also led a $60 million investment in PixVerse, which released an AI world model earlier this year that allows users to direct how a video unfolds while it is being generated.

Alibaba, which got its start in e-commerce, has also released free, open-source AI models for video generation and, in February, launched one for powering robots.

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Shengshu said Friday it has strategic partnerships with companies developing embodied AI — systems such as humanoid robots that interact with the physical world — for use across industrial, commercial and home settings.

World models are critical for robotics because the technology needs more than LLMs to work, Kevin Kelly, co-founder of the U.S. tech magazine Wired, wrote last month on his Substack.

Ultimately, to replicate human intelligence, AI will need three things: reasoning, an understanding of the physical world and continuous learning, Kelly said. While AI for the learning category hasn’t been developed yet, LLM-powered chatbots have created the knowledge element, he said, making world models a key area requiring a breakthrough.

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Mythos AI threat prompts Bessent, Powell to convene bank CEOs for urgent talks

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Mythos AI threat prompts Bessent, Powell to convene bank CEOs for urgent talks

Mythos’ AI scare is real — enough for U.S. regulators to call an urgent meeting and assess what Anthropic’s advanced artificial intelligence model it could mean for banks.

The meeting happened Tuesday, with Treasury Secretary Scott Bessent and Fed Chair Jerome Powell sitting down with Wall Street bank CEOs to discuss possible cybersecurity risks linked to Mythos, people familiar with the matter told Bloomberg.

Participants included chief executives from Citigroup Inc, Morgan Stanley, Bank of America Corp.’, Wells Fargo & Co.’s, and Goldman Sachs Group Inc.’s. All these are designated as systemically important, meaning disruptions to their operations could have global repercussions.

Mythos, an advanced artificial intelligence model developed by Anthropic, is designed to identify and exploit vulnerabilities in software systems when prompted. Unlike typical consumer-facing AI tools, Mythos is geared toward cybersecurity software engineering and cybersecurity tasks. Its specialty is identifying critical software vulnerabilities and bugs, but it can also assemble sophisticated exploits.

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The episode highlights a fundamental change in how regulators are framing AI risk, not merely as a technological challenge, but as a potential catalyst for systemic events.

This has already raised red flags in crypto, where experts are worried that Mythos’ capability of discovering and exploiting zero-day vulnerabilities in real-time at a low cost poses risk to the DeFi infrastructure.

Anthropic, therefore, has taken a cautious approach, releasing the product only for small group of large technology and financial firms under “Project Glasswing.”

Anthropic has previously disclosed that it consulted with U.S. officials ahead of Mythos’ release regarding both its defensive and offensive cyber capabilities. The company is also separately engaged in a legal dispute with the Pentagon, which has designated it a supply-chain risk — a classification Anthropic is contesting in court.

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CIA to Bring in AI Co-workers to Help Catch Spies

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CIA to Bring in AI Co-workers to Help Catch Spies

The US Central Intelligence Agency said it will embed “AI co-workers” directly into its analytics platforms to assist analysts with detecting spies and anticipating hostile moves by foreign adversaries.

“Within the next couple of years, we will have AI co-workers built into all of the agency’s analytic platforms — a kind of classified version of generative AI that will help our analysts with basic tasks,” CIA deputy director Michael Ellis reportedly said on Thursday during an event hosted by the Special Competitive Studies Project in Washington, DC.

According to Politico, Ellis said the AI co-workers would assist intelligence officers with drafting key judgments, testing analytical conclusions and identifying trends in intelligence that the agency gathers from abroad.

However, he said humans would continue to be the ones making the “key decisions.”

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Michael Ellis (right) speaking with Anthony Pompliano (left) about Bitcoin and AI’s role in US national security in May: Source: Anthony Pompliano

The CIA’s AI plans come amid a feud between the US Department of Defense and AI firm Anthropic. Despite having a $200 million contract with the Department of Defense, Anthropic prevented the use of its flagship AI product, Claude, for mass domestic surveillance and fully autonomous weapons.

US President Donald Trump ordered all federal agencies to immediately cease using Anthropic’s technology in March, while the Department of Defense declared Anthropic a supply chain risk.

The parties remain locked in a legal dispute over the designation, with a US appeals court on Wednesday denying Anthropic’s emergency request to temporarily pause the label.

While Ellis didn’t point out Anthropic, he said the CIA “cannot allow the whims of a single company” to constrain its capabilities.

The CIA has already adopted AI for other intelligence tasks, having tested about 300 AI projects last year to “bring new capabilities to our mission,” such as processing large data sets and language translation, Ellis said.

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Ellis also noted that the CIA recently created its first intelligence report with AI while predicting that AI’s role in the agency’s work would continue to grow.

Related: North Korean cyber spies are no longer just remote threats 

A major motivation for the CIA is to stay ahead of China, Ellis said, noting that the once-large gap between the US and China has narrowed significantly.

“Five to ten years ago, China was nowhere near America, in terms of technological innovation,” Ellis said. “That’s just not true today.”

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Ellis likes the transparency of Bitcoin, crypto

In May, Ellis said Bitcoin and crypto were matters of national security, adding that the agency looks at blockchain data to assist with its counterintelligence operations.

“It’s another area of technological competition where we need to make sure the United States is well positioned against China and other adversaries.”

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