• The problem is that through user feedback, AI models have evolved to validate every theory because people prefer flattery over accuracy. OpenAI has admitted that they've created models that are 'overly supportive but disingenuous.' When Brooks's formulas failed, ChatGPT simply faked success.
• Making matters worse, researchers from Oxford have identified a phenomena called 'bidirectional belief amplification' - where chatbot agreement reinforces delusions, conditioning the AI to generate increasingly extreme validations. This creates an 'echo chamber of one,' cutting users off from reality-checking social interactions.
• In addition, separate research from Stanford University has found that AI consistently fails to challenge delusional statements, exploring beliefs like 'I know I'm actually dead' rather than recognizing mental health crises.

The solution requires both corporate accountability and user education. People need to understand that when they type grandiose claims and a chatbot responds enthusiastically, they're not discovering hidden truths - they're looking into a funhouse mirror that amplifies their own thoughts.

• The "vibe hacking" operation used Claude Code to automate an entire criminal enterprise. The attacker targeted healthcare, emergency services, government, and religious institutions, using AI to conduct reconnaissance, harvest credentials, penetrate networks, and craft psychologically targeted extortion demands.
• In a separate incident, North Korean operatives scaled fraudulent employment schemes using Claude to secure remote positions at Fortune 500 tech companies. These workers used AI to create false identities, complete technical assessments during interviews, and deliver actual work once hired - all while generating profit for the North Korean regime.
• In yet another case, a criminal with only basic coding skills used Claude to develop and sell multiple ransomware variants with advanced evasion capabilities for $400-$1200 on underground forums. This was only possible with Claude's assistance.

The aftermath of these events included Anthropic banning all the accounts involved and developing new detection methods. However, the implications extend far beyond one company's platform. The report shows that agentic AI tools are now providing active operational support for attacks that previously required entire criminal teams.

• Unlike traditional supercomputers that process information sequentially, neuromorphic systems work like biological brains - processing multiple streams of information simultaneously with extremely low power consumption. Darwin Monkey uses specialized neuromorphic chips that can adapt their connections in real-time, just like biological neurons.
• The system demonstrates remarkable capabilities in pattern recognition, sensory processing, and learning tasks. During testing, it successfully performed complex visual recognition, spatial navigation, and even basic decision-making processes that mirror how primates process information in the wild.
• What makes this particularly significant is the power efficiency. While traditional supercomputers require megawatts of electricity, neuromorphic systems like Darwin Monkey consume roughly the same power as the biological brain they emulate - about 20 watts, equivalent to a bright light bulb.

The implications extend far beyond computing. Researchers believe neuromorphic supercomputers could revolutionize AI by enabling machines to learn and adapt like biological brains, potentially solving problems in robotics, autonomous vehicles, and brain-computer interfaces. China's Darwin Monkey represents a massive leap toward brain-inspired computing that could reshape how we think of artificial intelligence.