🤖 Microsoft Trains Robots in the Matrix — To overcome the shortage of real-world training data, Microsoft is using Nvidia Isaac Sim to generate "synthetic trajectories" for its new model. This hybrid approach blends simulated practice with human corrective input, allowing robots to master complex manipulation tasks where physical teleoperation is impossible.

🤖 North Korean Hackers Use AI to Target Crypto — KONNI has been caught using AI-generated malware to attack blockchain developers. Shifting focus from diplomats to crypto engineers, the hackers are deploying a "highly polished" PowerShell backdoor hidden inside fake job offers and project documents to steal wallet credentials and API keys.

🤖 Russian Hackers Target Poland's Grid — Experts have linked a failed 2025 cyberattack on Poland's energy system to Sandworm, the infamous Russian state-sponsored group. Using malware, the hackers attempted to wipe data and disrupt renewable energy communications. The assault was stopped before causing physical damage.

🤖 Anguilla's $70M AI Windfall — The tiny Caribbean island of Anguilla is now earning $70M annually (roughly 20% of its total government revenue) by selling .ai domains. With registrations tripling to over 1 million since the ChatGPT boom, the island is using this "pure luck" income to fund renewable energy and airport upgrades.

📌 OpenAI Attacks Global AI "Usage Gap" — OpenAI warns of a dangerous "capability overhang" where select nations exploit AI for complex problem-solving while others lag behind. To bridge this divide the company launched an initiative treating AI literacy as essential infrastructure to integrate tools directly into government school systems globally.

📌 Agentic AI Stuck in "Pilot Purgatory" — A new report reveals that half of all workplace AI projects are stuck in the concept phase, blocked by compliance fears, security risks, and skills shortages. Despite the gridlock, 74% of companies plan to increase their AI budgets next year, even as 69% of AI decisions still require human verification to ensure safety.

📌 Harvard Expert's "3 Cs" for Success — Gorick Ng reveals that highly successful professionals master three key areas: Competence (proving you can do the job without micromanagement), Commitment (showing you actually want to be there), and Compatibility (fitting into the team's culture). Ng warns that failing these traits leads to being overlooked.

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As artificial intelligence becomes woven into work, education, and daily life, AI literacy — the ability to understand, evaluate, and use AI responsibly — has never been more important. AI literacy isn’t just technical know-how; it includes understanding what AI can and cannot do, recognizing its ethical implications, and knowing how to make informed decisions when interacting with these systems. According to the World Economic Forum, AI literacy helps individuals and organizations adapt to rapid change, communicate across disciplines, and ensure safe, transparent use of AI technologies that increasingly touch many aspects of society.

One of the most effective ways to promote AI literacy is by integrating it into education from an early age. Educators and policymakers advocate bringing AI concepts into K-12 classrooms — not just in computer science classes but across subjects like math, language arts, and social studies — so that students learn how AI works, how to evaluate its outputs, and how to consider its ethical and societal effects. AI literacy frameworks now guide teachers on strategies like integrating evaluation skills, encouraging critical thinking about AI tools, and promoting awareness of issues like equity and bias. Initiatives around the world — from community workshops to national literacy missions — are engaging students, teachers, and volunteers in foundational AI knowledge and responsible usage.

AI literacy also thrives when adults and communities get involved, not just students. Training programs, workplace learning paths, and group discussions help adults feel confident using AI tools ethically and productively. Organizations are increasingly embedding AI literacy into professional development, encouraging a mindset where people question, verify, and interpret AI outputs rather than follow them uncritically. This collaborative, conversation-driven learning fosters an environment where everyone — regardless of background or role — can participate safely and thoughtfully in an AI-enhanced world.

Finally, promoting AI literacy means raising awareness about ethics, equity, and critical engagement, not just technical skills. Responsible programs emphasize issues like transparency, bias, and the social impact of AI, encouraging learners to reflect on how these systems influence society. Efforts to create inclusive, accessible learning spaces — from community meetups to global education initiatives — help break down barriers so that AI literacy becomes a shared skill for navigating the future. With thoughtful integration in schools, workplaces, and communities, AI literacy can empower individuals to use these technologies responsibly and creatively as AI continues to evolve.

10,000,000

is the estimated number of distinct colors the average human eye can distinguish, all generated by mixing signals from just three types of cone cells in your retina.

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