Tether has completed its first full independent financial statement audit, conducted by KPMG U.S. for the fiscal year ended December 31, 2025. The stablecoin firm issued an unqualified audit opinion, the most favorable outcome possible, confirming that Tether International, S.A. de C.V.’s financial statements fairly present its financial position, results of operations, and cash flows in accordance with U.S. GAAP.

Tether describes this engagement as the largest inaugural financial audit in history, marking a significant shift from its previous practice of releasing only quarterly reserve attestations. KPMG conducted a comprehensive examination of Tether’s full balance sheet, income statement, changes in equity, and cash flows, rather than limiting the review to reserve snapshots.

The audit involved substantive testing of transactions, systems, valuations, counterparties, and ownership records. Notably, auditors physically counted and inspected every individual gold bar held in Tether’s reserves to verify existence and identifying information, moving beyond reliance on custodian reports.

The audited financials revealed that Tether’s reserves exceeded its liabilities by $6.814 billion as of December 31, 2025. This surplus validates the company's public attestation reports and provides an independent assessment of its financial health after years of scrutiny regarding the composition and stability of the assets backing USDT, the world’s largest stablecoin by market capitalization.

The audit process began in March 2026, with PwC previously involved in preparing Tether’s internal systems for the review.

"Despite our Company being subject to several years of detractors’ false claims, competitors lies, political attacks and misinformed coverage by several mainstream newspapers trying desperately to discredit us for the benefit of their friends in the tall ivory towers, Tether delivered what it promised: a full financial audit issued by a Big Four accounting firm, KPMG U.S." CEO Paolo Ardoino wrote in part on X.

U.S. Central Command (CENTCOM) on Thursday announced the formation of Task Force Falcon Strike, described as the first-ever multi-domain, multinational attack drone task force in the Middle East. The unit is designed to integrate one-way attack drones operated by U.S. forces and regional partners across air, surface, and underwater domains.

The initiative follows months of intense conflict with Iran, which has strained U.S. drone stocks and necessitated a shift toward low-cost, expendable unmanned systems to maintain operational tempo. U.S. reportedly lost about 25% of its MQ-9 drones in the war so far, each about $33 million. Intercepting cheap, mass-produced Iranian drones with million-dollar surface-to-air missiles proved economically unsustainable.

Falcon Strike builds upon Task Force Scorpion Strike, established nine months prior as the military’s first dedicated one-way attack drone squadron.

Scorpion Strike achieved key milestones, including the first launch of an aerial attack drone from a U.S. Navy warship and the use of LUCAS (Low-Cost Unmanned Combat Attack System) drones during Operation Epic Fury and strikes on Iranian port facilities.

The U.S. deployed the LUCAS—a low-cost attack drone reverse-engineered from captured Iranian UAS platforms—launching it from Navy ships during Operation Epic Fury. In June 2026, CENTCOM deployed Saronic Corsair unmanned surface vessels (USVs) to recover stranded crew in the Strait of Hormuz. By July, Corsair maritime drones were used offensively to strike Iranian naval installations at Bandar Abbas.

Task Force Falcon Strike will be led by personnel from U.S. Special Operations Command Central (SOCCENT), which also oversaw the creation of Scorpion Strike. It is headquartered at MacDill Air Force Base in Tampa, Florida.

CENTCOM has begun consulting with and formally inviting regional partners to join. The goal is to scale attack drone capabilities into a unified multinational deterrent, allowing allies to contribute their own systems and innovate alongside U.S. forces, and shifting from ad-hoc experimentation into a formal, persistent strike architecture.

While specific participating nations have not been publicly named, the task force aims to create a cohesive regional network for unmanned warfare, responding to threats such as Iranian drone strikes on Gulf states, naval and missile threats along key transit routes like the Strait of Hormuz.

X significantly expanded its open-source initiative by releasing the complete source code for its "For You" ranking engine and core filtering systems on GitHub under the Apache v2 license.

Simultaneously, the platform launched a new "Under the Hood" transparency tool within app settings, allowing users to download a JSON file revealing if their account or posts have been assigned visibility-limiting labels (often referred to as shadowbans) over the past month.

Thursday's release includes model configurations, filter logic, and ranking parameters, enabling developers to run the Phoenix scoring system independently to verify how content is suppressed or promoted.

The open-sourced code confirms that the "For You" feed relies on a Grok-based transformer model to rank content, blending roughly 50% in-network posts (from followed accounts) with 50% out-of-network recommendations.

The 2026 update reveals a strict engagement hierarchy where Replies carry the most weight, followed by Reposts, then Likes, while posts containing external links are systematically deprioritized to keep users on the platform. Additionally, the code exposes a visibility multiplier for X Premium subscribers, which boosts their distribution frequency and position in feeds compared to non-paying users.

The new shadowban detection feature is initially piloting with accounts older than one year that have posted at least 10 times in the last month, providing raw data that users can analyze via LLMs against the public codebase.

Elon Musk and X's VP of Product Keith Coleman framed this move as a method to let users verify fairness themselves, with Coleman noting that external researchers have already successfully trained and run the scoring system using the provided code. The repository allows for community pull requests to suggest improvements.

"In making 𝕏 open source, we are actively seeking criticism to improve fairness and quality of algorithmic recommendations," Musk wrote on X.