The AI Village is a community where people learn AI through hands-on projects, cohorts, and workshops. It uses a semester-based curriculum from basics to advanced topics, emphasizing practical learning, mentorship, and open-source collaboration.
Background
- The **AI Village** is a community-run educational space at major hacking conferences (DEF CON, BSides) where attendees learn how AI/ML systems work from a security perspective — and how to break them.
- It was founded by **Sven Cattell** (a data scientist and former NSA mathematician) in 2017, originally to teach "machine learning for hackers" at DEF CON.
- The Village is volunteer-run and non-commercial; everything is hands-on, with workshops, CTF (Capture The Flag) challenges, and talks focused on adversarial ML, model security, and AI safety.
- Key context: Most AI security discourse happens in corporate or academic settings; the Village brings it to the hacker community, emphasizing practical red-teaming skills and open knowledge-sharing rather than vendor pitches.
Max Weinbach says he had early access to OpenAI's new model GPT-5.6 Sol, calling it his favorite model by far. He highlights that it never gives up and will keep reasoning until it's done. OpenAI announced that GPT-5.6 Sol, along with Terra and Luna, will launch publicly on Thursday, with preview access expanding globally now.
The US government ordered Anthropic to suspend access to its Fable 5 and Mythos 5 models for all customers, citing a potential jailbreak technique that involved asking the model to review a codebase for vulnerabilities—a capability Anthropic says is available in other public models. Access was abruptly cut off on June 12.
Andrej Karpathy announces the release of Claude Fable 5, the same underlying model as Mythos but with added safeguards. He calls it a major step forward, particularly for long problem-solving sessions on difficult tasks, and describes it as state-of-the-art on nearly all benchmarks with exceptional performance in software engineering, research, and vision.
Roman Storm warns that the legal theory in his case could set a precedent making open-source developers liable for how others use their code, potentially criminalizing the mere publication of privacy, messaging, or crypto tools. He notes that developer Michael Lewellen cannot publish lawful code due to prosecution fears, and argues this chilling effect extends beyond any single case.
Meta's engineering culture is deteriorating under Mark Zuckerberg and Scale AI CEO Alexandr Wang, who have introduced keyboard tracking, reassignments to data labeling, and AI-centric performance metrics. Critics argue this incentivizes performative AI use, drives away experienced engineers, and contributed to a major Instagram hijacking incident caused by AI-written and AI-reviewed code.