Welcome to my corner of the internet where I explore and share insights about cutting-edge technology, artificial intelligence, drone innovations, and industrial security.
What You'll Find Here#
🚁 Drone Technology#
From high-speed FPV racing to cinematic aerial photography, dive deep into the world of unmanned aerial vehicles and the technology that makes them fly.
🤖 AI & Machine Learning#
Exploring the frontiers of artificial intelligence, from practical automation to the latest in generative AI and deepfake technology.
☁️ Cloud Computing#
Modern cloud architecture, deployment strategies, and best practices across AWS, Azure, and Google Cloud Platform.
🔒 ICS Security#
Industrial control systems security, protecting critical infrastructure, and operational technology cybersecurity.
🖨️ 3D Printing#
Custom designs, rapid prototyping, and pushing the boundaries of additive manufacturing.
🎙️ Research Curation Daemon#
A podcast curating and analyzing cutting-edge research across cloud computing, AI infrastructure, security, and emerging technologies.
Latest Updates#
This section will feature the most recent content and project updates.
About Me#
I'm a technology enthusiast with expertise spanning cloud computing, AI development, drone technology, and industrial security. Through this site, I share knowledge, projects, and insights from my journey through the rapidly evolving tech landscape.
Whether you're here for technical deep-dives, project inspiration, or just curious about emerging technologies, I hope you find something valuable.
Exploring technology, one innovation at a time
Exploring Cloud Computing, AI, Grid Technology, Industrial Control System Security, Drones, 3D printing and more. Plus the AI-driven, Stephenson-inspired Research Curation Daemon podcast.
Episode Description PG and E Surges Capacity to Meet AI Data Center Demand
Pacific Gas and Electric launched a massive nine point six gigawatt data center pipeline while energizing its first facility in San Jose to support the explosive growth of artificial intelligence. Data centers are projected to consume four point four percent of national electricity this year, while utilities plan a record eighty-six gigawatts of new generation to prevent a capacity crisis. Federal regulators are responding with permanent cybersecurity mandates as MIT researchers warn that physics-aware AI is now required to keep the evolving energy grid stable. These structural shifts dictate if your local grid can reliably handle the massive power demands of the AI era without triggering rate hikes or blackouts.
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Episode Description AI Cyber Threats Surge as Western Power Markets Pivot
The International AI Safety Report warns that AI-enabled cyber offense is now outpacing defense while the Trump administration launches a task force to challenge state-level AI regulations. This shift arrives as ransomware attacks on industrial systems nearly doubled in twenty twenty-five and AI workloads now consume twenty-two percent of the seven hundred twenty billion dollar cloud market. To manage this surge, PG and E is deploying meter-level AI while federal regulators removed a twenty-four-year price cap to handle a projected ten-gigawatt data center load. Navigating these shifting regulatory guardrails and infrastructure constraints is now critical for organizations facing immediate implementation deadlines and rising execution risks.
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Episode Description Agentic AI and the Evolving Operating Model
These materials examine the emergence of bio-digital AI and the implementation of GreenOps as critical frontiers in modern technology. The first source highlights the convergence of biology and artificial intelligence, focusing on breakthroughs in brain-computer interfaces, synthetic biology, and predictive healthcare expected by 2026. Simultaneously, the documentation on GreenOps addresses the environmental impact of digital infrastructure, advocating for carbon-aware IT operations and real-time emissions monitoring. Companies like Cogent Infotech and OxygenIT are positioned as leaders providing the technical expertise and analytical tools necessary to navigate these shifts. Ultimately, the sources emphasize that future success depends on balancing rapid innovation with ethical responsibility and environmental sustainability.
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Episode Description Meta and AMD Unveil Massive Six Gigawatt AI Compute Deal
AMD and Meta announced a massive six-gigawatt GPU partnership while Meta simultaneously negotiates a multi-million unit cloud deal for Google Ironwood TPUs. This unprecedented compute scramble coincides with federal data projecting a record 24.3 gigawatts of new battery storage for 2026 to support the grid. In response to these infrastructure strains, PG and E is fast-tracking data center interconnections and reports that large-load growth has already helped slash customer rates by 11 percent. For professionals and consumers, these shifts mean that while AI capabilities scale, the stability and cost of your local energy grid are now directly tied to the efficiency of the nearest data center.
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Episode Description Cloud Failure vs. Nuclear AI: The Resilience Drag
The race to scale AI and critical infrastructure on the public cloud hit a wall: a 15-hour AWS US East One outage cascaded across 3,500 companies, exposing a stark fragility at the core of hyper-scale regional control planes. This operational risk is amplified by continuous hardware sprints, with AMD's Instinct MI350 delivering a four times performance increase over the prior generation, compelling procurement teams into mandatory annual platform turns. Critical industries are responding by seeking localized autonomy; Pacific Gas and Electric, for example, successfully deployed generative AI on-premises at the Diablo Canyon nuclear plant, where the system searches billions of documents with 98% accuracy. For professionals, this collision mandates a shift toward resilient multi-region designs and integrated cyber-physical security, as organizational silos are now the primary gap exploited by attackers targeting critical infrastructure.
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Episode Description AI Power Surges; US Unveils Emergency Grid Plan
Data center load surges as AMD and Nvidia commit to annual AI chip releases through 2030, driving unprecedented demand that tests grid reliability. U.S. hyperscalers face a 22 percent increase in grid power consumption this year, with overall data center utility power projected to nearly triple to 134.4 gigawatts by 2030. In response, the Energy Department unveils the Speed to Power initiative to fast-track transmission buildouts, even as PG&E models using AI orchestration to mitigate peak load growth despite consumption doubling. This critical bottleneck means organizations must now factor grid capacity and the soaring threat of utility cyberattacks into every decision regarding AI deployment and data center siting.
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Episode Description Autonomy Surges: Trust Lags, Infrastructure Unveils Gaps
Automated systems are accelerating across all sectors, from AI-driven algorithm discovery to utility infrastructure, creating a sharp tension as security teams face an AI trust paradox in automated response, hesitant to hand over control despite machine-speed attacks. The practical risk of this rapid scaling became clear when the 15-hour Amazon Web Services outage generated over six million reports, triggered by an internal DNS race condition, highlighting acute concentration risk. Regulators and standards bodies pivot aggressively, with the Transportation Security Administration formalizing mandatory pipeline cybersecurity requirements effective May 2025 and the IEC 62443 standard pushing industrial networks toward zero trust microsegmentation. These governance gaps and architectural shifts mean organizations must urgently invest in robust failure containment and user-validated explainable AI to ensure automated speed doesn't compromise critical safety.
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Episode Description Grid Storage Surges, Standards Pivot to Zero Trust
Utility-scale battery storage deployments surged by 63% year-over-year in Q2 2025, adding 4.9 gigawatts of capacity, even as major cloud automation failures triggered massive outages. This technical acceleration unveils a policy cliff: deployments will dip sharply in 2026 due to new Investment Tax Credit sourcing rules, disrupting growth momentum. In response, regulatory bodies and the ISA pivot industrial security, revising 62443 guidance to mandate zero trust architecture and microsegmentation for OT environments. The key takeaway is clear: organizations must upgrade governance and adopt hybrid, failure-resistant architectures to ensure reliability as system complexity and risk escalate.
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Episode Description AI Scale Surges; Grid Unveils 20-Year Planning Mandate
Tech giants escalate the AI compute race as Microsoft deploys hundreds of thousands of Blackwell Ultra GPUs and Anthropic commits to utilizing up to 1 million Google Cloud TPUs, setting an unprecedented pace for capacity expansion. This massive demand surge is colliding with infrastructure limits; Duke University research shows the U.S. grid can absorb 100 GW of new load, but only if flexible resources are maximized. Federal regulators responded with FERC Order 1920-A, mandating 20-year proactive transmission planning to manage electrification and extreme growth. Organizations must treat AI safety seriously—the Future of Life Institute gave no major company above a C+ grade—and integrate operational flexibility to manage power costs and systemic risk.
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Episode Description Power Demand Surges; DoD Mandates Zero Trust in OT
Constellation and NRG launched multi-billion dollar utility acquisitions, explicitly betting on an AI-driven "power demand supercycle" straining infrastructure. Despite this surge in capacity, the efficiency paradox deepened this week: a Harvard Business Review report noted that 95% of organizations see zero measurable ROI from their current AI investments. In response to increasing systemic risk, the Department of Defense mandated Zero Trust security across all Operational Technology environments. As complexity breeds weird failures—such as the 15-hour AWS US-EAST-1 outage—executives must pivot now toward disciplined measurement, platform stability, and edge security to prevent widespread operational failure.
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