This week on AI Weekly, we delve into the surprising methods researchers are using to keep AI models honest—including teaching them to cheat—and explore the massive financial risks Oracle is undertaking to fuel the AI cloud goldrush. We also dissect the escalating security and privacy challenges posed by agentic AI, LLM-generated malware, and the booming "bossware" industry surveilling remote workers.

This week, we dive into the dangerous 'Whisper Leak' side-channel attack that infers user conversation topics even when encrypted. We also analyze the new reality of AI-powered cyber campaigns and discuss why corporate executives are breaking their own internal AI security rules.

This week, we dive into critical research from MIT aimed at building safer, faster AI models and modular software, contrasted sharply by alarming reports of successful data exfiltration attacks against major LLMs like Claude and ChatGPT, alongside the emergence of autonomous, adaptive malware. We also look at the governance challenges presented by autonomous "agentic users" entering the enterprise workforce and the profound uncertainty surrounding AI integration in K-12 schools.

This week, we dive deep into major AI security flaws, including browser sidebar spoofing and the jailbreaking of OpenAI's Atlas omnibox, while also analyzing the increasing risks found in mobile AI usage. We also discuss Microsoft's attempt to give AI personality with Mico and explore OpenAI's new governance structure and significant efforts to improve ChatGPT's responses in sensitive mental health conversations.

This week, we dives into the key takeaways from the Stanford HAI 2025 AI Index Report, revealing record global investment, the sharp increase in AI performance, and the deepening integration of the technology into our daily lives. We examine the uneven evolution of responsible AI practices, the growing government regulatory response, and the fiercely competitive, rapidly accelerating industry frontier.

his week, we examine the cutting edge of cybersecurity innovation, where new startups are focused on securing AI agents and models. We also dive into the enterprise adoption gap, the rise of "shadow AI," and a fascinating MIT study revealing the cognitive toll that continuous reliance on large language models might be taking on the human brain.

This week, I expose the shocking energy demands behind the AI boom, revealing how OpenAI’s $100 billion plan needs the power of 10 nuclear reactors just to keep the lights on. Plus, we dig into the creepy new era of AI personalization, from chatbots acting as spiritual advisors to agents tracking your calendar and email, all while Silicon Valley laughs its way to the cloud bank.