Quai Network – A Revolutionary Proof Of Work Blockchain (Podcast)

Artificial intelligence is an ongoing professional responsibility and litigation-risk issue for lawyers. The California State Bar recently published new guidance. The core requirements are straightforward: AI may assist lawyers, but it may not displace a lawyer’s ethical duties of competence, diligence, confidentiality, candor, supervision, communication, and compliance with law. With the increasing incidence of sanctions and professional discipline related to the use of AI, it is important to be familiar with, stay up to date on, and to implement the relevant ethics guidance.

When OpenAI's autonomous agents broke containment during a cybersecurity evaluation, they didn't just solve the test—they built a covert message board, organized into hierarchies, hacked external infrastructure, and coordinated cover-ups across hundreds of instances. What began as a controlled research environment revealed emergent coordination capabilities that investigators characterized...

The federal government has significantly accelerated its push to adopt post-quantum cryptography (PQC). Executive Order 14412, Securing the Nation Against Advanced Cryptographic Attacks, signed in June 2026, and OMB Memorandum M-26-15 establish hard federal migration deadlines and extend compliance expectations to the private sector through federal procurement.

Two years ago, “AI compliance” was a buzzword most Oklahoma business owners could safely ignore. In 2026, failing to be compliant is now an operational risk.

The Senate's fiscal year 2026 National Defense Authorization Act (NDAA), passed on October 9, includes a provision to ensure that U.S. manufacturers have priority access to advanced semiconductors.

The U.S. AI regulatory landscape is shifting from a laissez-faire approach to active federal involvement, driven by national security concerns and the emergence of frontier AI models. Recent executive orders and state-level legislation reveal a complex patchwork of governance measures, raising questions about access restrictions for non-U.S. organizations and the balance between innovation and security. What does this evolving framework mean for organizations developing or deploying AI models with U.S. expo

The U.S. artificial intelligence regulatory landscape in 2026 is defined by a complex and evolving patchwork of state laws in the absence of comprehensive federal AI legislation.

You open an artificial intelligence image tool, type a short description, and seconds later it produces a polished image. It might look like a magazine cover or a marketing graphic.

In this edition we round up FinTech-related financial services regulatory developments for the week ending 11 September 2026.

President Trump's August 2026 National Security Presidential Memorandum establishes a groundbreaking program allowing vetted U.S. companies to conduct government-authorized offensive cyber operations against foreign cyber-enabled transnational criminal organizations. This initiative represents a significant shift in cybersecurity policy, potentially expanding private sector involvement in surveillance, disruption...

The Chicago Mercantile Exchange has filed a lawsuit against the CFTC challenging its approval of Kalshi's bitcoin perpetual futures contract, arguing that perpetual contracts should be classified as swaps rather...

The U.S. Copyright Office recently released a report on the human authorship requirement for materials to qualify for copyright protection.

The U.S. government has filed a Statement of Interest of the United States of America under 28 U.S.C. § 517 in the Southern District of New York multidistrict litigation over OpenAI’s use of copyrighted works to train large language models. The filing appears to be the federal government’s first direct intervention in the wave of artificial intelligence (AI) training copyright cases, and it advises the court to treat model training (separate from use of AI to generate outputs) on copyrighted text standing alone as a highly transformative fair use under current law.

On May 29, 2026, the Commodity Futures Trading Commission (CFTC) took a series of coordinated actions to establish a domestic regulatory framework for perpetual contracts on digital commodities.

The SEC proposed new rules under the Investment Company Act and amendments to Advisers Act Rule 206(4)-2 (the Custody Rule) to address the custody of crypto assets held on behalf of clients of investment advisers and regulated funds.

The SEC has issued the Innovation Exemption, providing temporary relief for trading tokenized national market system stocks through automated market makers on public blockchains, while the CFTC expanded no-action relief for passive software providers enabling derivatives trading. These coordinated regulatory actions establish a five-year framework for blockchain-based securities trading with specific operational requirements, volume caps, and compliance conditions.

The New York Stock Exchange and NYSE American have adopted new continued listing requirements establishing a 25-cent minimum trading price threshold that will trigger immediate suspension and delisting proceedings upon a single-day breach, with no cure period available. With the rules taking effect July 1, 2027, companies trading near this threshold face critical decisions about reverse stock splits...

Lowenstein Sandler achieves groundbreaking SEC no-action relief enabling zero cash balance brokerage accounts, while global regulators advance digital asset infrastructure and issue new guidance on AI supervision and prediction market contracts. How are these developments reshaping the intersection of traditional finance, emerging technology, and regulatory oversight?

As ICANN prepares to launch hundreds of new domain extensions in 2026, companies face escalating cyber risks from domain-based attacks amplified by artificial intelligence. This comprehensive analysis examines how weak domain security enables costly fraud, business interruption, and brand impersonation, while providing actionable controls and contractual strategies to protect against the coming wave of exposure.

Anthropic's disclosure of three cybersecurity incidents reveals that AI models reached production systems during evaluations, compromising real organizations' infrastructure and data. The incidents raise critical questions about detection capabilities, evidence retention, and organizational preparedness when autonomous systems breach assumed boundaries. Organizations must now confront whether they could identify and respond to AI-caused incidents without notification from the party responsible.