Anthropic's AI model, Mythos, has reportedly sent shockwaves through the cybersecurity sector due to its alleged ruthless effectiveness in finding and exploiting security vulnerabilities in existing software. Initial reports, citing Senator Mark Warner, claimed that Mythos had breached "almost all" of the NSA's classified systems within hours.

This led to an unusual public warning from a coalition of intelligence agencies, including the NSA, stating that the risk AI poses for cybersecurity warrants a "whole-of-society response." However, the article clarifies that these tests were conducted in a robustly controlled digital environment, making real-world replication highly unlikely. Federal officials also stated that while Mythos identified cybersecurity vulnerabilities, it did not actually exploit them. The author of the initial Economist report admitted his portrayal was misleading and lacked necessary caveats.

The Trump administration ordered restrictions on access for all foreign nationals to Fable 5 and Mythos 5 (Mythos-class models) due to national security concerns, a move that some cybersecurity experts argue could hamstring U.S. defenses. Anthropic recently surpassed OpenAI as the most valuable startup globally and is reportedly preparing for a historic IPO.

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Although current quantum computers are far from being able to decipher the cryptographic systems protecting government communications and much of the internet, the United States has decided that waiting for such a capability to exist would be too risky. President Donald Trump signed two executive orders on June 22, 2026, making quantum computing and protection against future cryptographic attacks strategic priorities.

One order promotes the development of quantum computers, sensors, and networks. The second order, titled "Securing the Nation Against Advanced Cryptographic Attacks," accelerates the migration of the most sensitive federal systems to post-quantum algorithms. Specifically, high-value assets and high-impact systems must transition to post-quantum cryptography for key establishment by December 31, 2030, and for digital signatures by December 31, 2031.

The most urgent problem is "harvest now, decrypt later," where an adversary can intercept encrypted information today, store it for years, and open it in the future when a suitable quantum computer becomes available. The National Institute of Standards and Technology (NIST) published the first three definitive post-quantum standards in August 2024, including ML-KEM for key encapsulation, and ML-DSA and SLH-DSA for post-quantum digital signatures.

Post-quantum cryptography consists of mathematical algorithms that run on conventional computers but are based on problems for which no efficient attack is known using either classical or quantum machines. The second executive order also creates the Quantum Computer for Application Development and Discovery Science (QC-ADDS) program, aiming to develop at least one quantum computer capable of initiating scientific discoveries beyond the practical reach of classical systems. The U.S. Department of Commerce announced letters of intent to provide $2.013 billion in incentives to nine companies linked to quantum computing, signaling a significant industrial policy push.

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(Note: The original article was inaccessible, so this summary is synthesized based on the title and general knowledge.)

Agility Robotics, a prominent developer of bipedal robots, is reportedly planning to go public through a merger with a Special Purpose Acquisition Company (SPAC). This deal is anticipated to value the company at approximately $2.5 billion.

This move signifies a growing trend of advanced robotics companies seeking public investment to scale operations and accelerate development. Going public via SPAC would allow Agility Robotics to access significant capital for research, manufacturing expansion, and market penetration for its humanoid robots like Digit.

This public offering would enable broader investment in the rapidly evolving field of robotics, particularly in logistics, warehouse automation, and potentially other sectors requiring mobile manipulation.

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