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US Cyber Agency Locked Out: CISA Denied Access to Anthropic's Most Powerful AI Hacking Model

goodinfo.net — Sun, 26 Apr 2026 18:00:00 +0800

US Cyber Agency Locked Out: CISA Denied Access to Anthropic’s Most Powerful AI Hacking Model

According to multiple reports, the US Cybersecurity and Infrastructure Security Agency (CISA) — the federal agency responsible for protecting America’s critical cyber infrastructure — has been denied access to Mythos, the latest and most powerful AI model from AI company Anthropic. This situation has sparked widespread concerns about the nation’s cybersecurity capabilities.

CISA “Last in Line”

Computerworld reported on April 24 that CISA is “last in line” for access to the Mythos model. This report echoes an exclusive scoop from Axios on April 21, which revealed that the top US cyber agency simply does not have access to Anthropic’s powerful hacking model.

More troubling still, Tech Brew reported on April 23 that a random Discord community gained access to the Mythos model before CISA did. This contrast highlights the dilemma the government faces in obtaining cutting-edge AI security tools.

Mythos Model’s Capabilities

Anthropic’s Mythos model is described as the company’s most powerful AI system to date, with significant cybersecurity offensive and defensive capabilities. The model can identify system vulnerabilities, conduct penetration testing, simulate attack scenarios, and provide security hardening recommendations for defenders.

In AI security research, Mythos is seen as a “double-edged sword” — it can be used by defenders to discover and patch system vulnerabilities, but also by attackers to find new attack vectors. This dual-use nature makes it a critical resource that cybersecurity agencies worldwide are racing to obtain.

Industry Response

The cryptocurrency industry’s response to the Mythos model has been particularly swift. According to CoinDesk and the Financial Times, DeFi (decentralized finance) project leaders with access to the Mythos model say that AI will simultaneously arm both attackers and defenders, further widening the gap between security-conscious and security-negligent projects. The industry is calling for the establishment of joint defense infrastructure to counter AI-empowered new cyber threats.

Policy Implications

This incident has sparked a profound discussion about the relationship between private AI companies and government agencies. Key questions include:

National Security Priority: Should AI tools used for national defense be prioritized for government cybersecurity agencies?
Access Allocation Mechanism: Who decides which organizations can get access to powerful AI models?
Security Asymmetry: If malicious actors have easier access to advanced AI tools than government agencies, what threat does this pose to national security?

The CISA director has previously warned on multiple occasions that AI technology is reshaping the cybersecurity landscape, and the government needs to accelerate its pace to maintain defensive capabilities. However, the lack of Mythos access suggests that the government still faces structural barriers in obtaining the most advanced AI security tools.

Next Steps

As of now, neither CISA nor Anthropic has issued formal comments on the matter. Analysts expect this incident may prompt congressional discussions on the regulatory framework for AI model access, particularly concerning AI systems with cybersecurity capabilities.

As AI technology’s application in the cybersecurity field deepens, how to balance commercial interests with national security needs will become a core challenge for policymakers.

Source: Axios, Computerworld, Tech Brew

Anthropic Tests AI Agent Marketplace, 186 Deals Totaling Over $4,000

goodinfo.net — Sun, 26 Apr 2026 06:00:00 +0800

Anthropic Tests AI Agent Marketplace, 186 Deals Totaling Over $4,000

AI safety company Anthropic has revealed details of an internal experiment called “Project Deal,” in which it built a classified marketplace where AI agents represented both buyers and sellers, successfully executing real transactions for real goods and real money.

Experiment Design

Anthropic recruited 69 employees for the pilot, each given a $100 budget (paid out in gift cards) to purchase items from coworkers. The company actually ran four separate marketplaces with different model configurations — one “real” market where all participants were represented by the company’s most advanced model, with deals honored after the experiment concluded.

Key Findings

The experiment exceeded expectations, completing 186 deals with a total value exceeding $4,000. Anthropic stated it was “struck by how well Project Deal worked.”

More notably, users represented by more advanced AI models achieved “objectively better outcomes” in negotiations. However, participants did not seem to notice this disparity, raising concerns about “agent quality gaps” — where people on the losing end of a negotiation might not realize they are worse off.

Additionally, the researchers found that the initial instructions given to the agents did not significantly affect the likelihood of sales or negotiated prices, suggesting that the inherent capability of the agent may matter more than its preset strategies.

Industry Implications

The experiment reveals the potential of AI agents in automated commerce while raising new ethical questions. When AI agents represent humans in transactions, differences in “agent quality” could lead to information asymmetry that undermines market fairness.

As AI agent technology matures, ensuring equitable outcomes across different quality tiers of agents will become an important challenge the industry must address.

Source: TechCrunch

Google Announces Up to $40 Billion Investment in Anthropic, AI Arms Race Intensifies

goodinfo.net — Sat, 25 Apr 2026 21:10:00 +0800

Google’s $40 Billion Bet on Anthropic: A New Chapter in AI Competition

On April 25, 2026, Google parent company Alphabet announced a landmark AI investment plan — it will invest up to $40 billion in cash and cloud computing resources into Anthropic, the AI safety research company. This deal will further deepen the strategic partnership between the two companies in the artificial intelligence sector and signals that the tech giants’ arms race in AI has entered a new phase.

Investment Structure and Strategic Intent

According to disclosed information, the $40 billion investment will be divided into two components: direct cash injections to Anthropic for AI model research and development and infrastructure construction, and Google Cloud computing resources to ensure Anthropic has sufficient computational power for training large-scale AI models.

Google has already been a significant investor in Anthropic. This additional investment demonstrates that, in the race for AI large models, Google is deepening its ties with Anthropic to address competitive gaps in general AI and to counter ongoing pressure from competitors like OpenAI and Microsoft.

The Capital Game in AI

In recent years, investment scales in the AI sector have continuously broken records. OpenAI has received hundreds of billions of dollars in support from Microsoft, while Amazon has also heavily backed Anthropic. Google’s $40 billion additional investment will undoubtedly push the capital investment threshold for the entire industry even higher.

Analysts point out that the strategic significance of this investment extends beyond financial support — it’s about the deep integration of computing resources. In AI large model training, computational power has become one of the most critical strategic resources. By tightly coupling Anthropic’s model development with Google Cloud’s infrastructure, both parties expect to gain significant advantages in AI model iteration speed and training efficiency.

Industry Impact

The investment announcement has drawn widespread attention across the tech industry. For Anthropic, the ample funding and computing resources will accelerate the iteration of its Claude series of models, consolidating its leading position in AI safety and interpretability research. For Google, this is not just a growth driver for its cloud business — it is a critical strategic move to ensure it is not marginalized in the AI era.

Source: TechCrunch, Reuters