Issue #4: Cheat the Algorithms - How to manipulate AI models to get what you want
Keywords: AI literacy, AI manipulation, cheating AI models, recommendation algorithm, GPT literacy, meta-prompting
This week's issue explores the growing importance of AI literacy in a world dominated by powerful models like GPT, LLaMA, and Claude. It highlights how global tech companies use AI to subtly influence human behavior — and how individuals can learn to push back. Drawing from real-world examples, such as the Google Maps traffic hoax and Spotify playlist hacks, the magazine shows how AI systems can be manipulated with creativity and strategy. Readers are guided through understanding how AI models work, how to influence them, and why mastering these skills is crucial in the AI-driven future. Ultimately, the issue empowers readers to become active players, not passive targets, in the age of AI.
Issue #3: Silicon Minds - The Race for AI Chips
Keywords: Tensor Processing Units (TPUs), Graphic Processing Units (GPUs), Nvidia, Agentic AI, Microsoft, Google
Dive into the hidden engine powering today's AI revolution—the silicon chips that make intelligent machines possible. From the dawn of semiconductor design to the cutting-edge accelerators of today, this weeks issue unpacks the remarkable journey of chip technology and its critical role in artificial intelligence. Explore the meteoric rise of Nvidia, whose GPUs became the go-to hardware for AI training and inference. Compare Tensor Processing Units (TPUs)—Google's purpose-built AI hardware—with traditional GPUs, and learn how each shapes different AI workloads. Go behind the scenes of Google's Ironwood, the latest AI accelerator poised to push the limits of performance. Get an insider's look at Amazon's Trainium, Inferentia, and Graviton processors, engineered for AI training and inference at scale on AWS. See how Microsoft's Azure integrates its Maia 100 chip to compete in the cloud-based AI arms race.
Issue #2: Business Value of Agentic AI
Keywords: Agentic AI, Copilot, Microsoft, Google, Meta, Amazon, NVIDIA, Anthropic, llama 4, Agentic Mode, Fraud, AI Governance
Learn how GitHub Copilot's new 'Agent Mode' transforms developer workflows with advanced MCP support and premium access to powerful LLMs. Understand the growing role of AI governance, with insights into NIST’s AI Risk Management Framework and the emerging challenges of agent-driven decision-making in businesses and public institutions. This issue also highlights Meta's Llama 4 model, the practical benefits of small language models for businesses, and the darker side of generative AI, including alarming stories of fraud, disinformation, and document forgery. Finally, explore how the Kubernetes community is integrating Agentic AI into the cloud-native ecosystem, empowering DevOps and platform teams with scalable, intelligent automation. Whether you're an AI enthusiast, developer, or tech strategist, this issue is your essential guide to understanding and navigating the rapidly evolving world of generative and agentic AI.
Issue #1: AI & a Half-Century of Microsoft
Keywords: Microsoft, Copilot, Apple, Google, Meta, Amazon, NVIDIA, Anthropic, Palantir, Databricks, Ghibli-style AI, U.S. tariffs
This issue covers Microsoft's 50th anniversary and groundbreaking Copilot enhancements, Apple's innovative on-device and cloud AI models with a focus on privacy, Google's public preview of Gemini 2.5 Pro, Meta's milestone of 1 billion Llama downloads and the release of Llama 3, Amazon's advancements in operational analytics with Amazon Q Developer, NVIDIA's dominance in MLPerf Inference results with Blackwell, Anthropic's Claude integration with Google Cloud Vertex AI, the strategic partnership between Palantir and Databricks for secure AI solutions, the viral buzz around Ghibli-style image generation and its copyright implications, and the potential impact of U.S. tariffs on AI development and innovation.