Article archive
Published news and blog articles, organized by category. Browse older coverage by month or search for a topic. Undated blog guides appear after dated news.
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Mixture of Experts: How AI Divides Labor for Massive Scale
The routing architecture that lets trillion-parameter models activate only a fraction of their neurons per token, cutting cost and latency.
Tensor Processing Units: The Specialized Silicon Behind AI's Heaviest Lifts
How Google's TPUs were designed from scratch for matrix multiplication and why specialized AI accelerators are reshaping the semiconductor landscape.
DeepSeek's Return: What Open-Weights AI Means for the Model Layer
DeepSeek's open-weights model strategy disrupts the closed-model paradigm and commoditizes the AI model layer.
The Sparse Brain: How Mixture of Experts Scales LLMs Without Scaling Cost
Mixture of Experts architecture lets LLMs scale total parameters without scaling inference compute by routing tokens to specialized expert networks.
Vera Rubin: NVIDIA's Bet on the Next AI Compute Platform
NVIDIA's Vera Rubin platform succeeds Blackwell with 10x efficiency gains, reshaping the AI compute supply chain.
Why Smartphone Cameras Hit a Wall
How smartphone camera technology evolved from novelty to primary differentiator, then hit physical and computational limits.
The AI Power Crisis: How Generative Computing Is Straining the Electric Grid
Generative AI demands unprecedented electricity. A single training run can consume the annual output of a small power plant, and the grid is struggling to keep up.
From Data to Deployment: The Five-Stage Pipeline of Building an AI Model
Building a production AI model involves data preparation, feature engineering, training, evaluation, and deployment. Each stage has distinct tools, costs, and failure modes.
On-Device Intelligence: How Apple's Custom Silicon Brought AI to the iPhone
Apple's Neural Engine and custom silicon have moved AI inference from the cloud to the pocket, enabling private, latency-free intelligence on every iPhone.
The Third CPU Company: How Qualcomm's Snapdragon X Reshaped the PC Chip Market
For decades, the PC processor market was a two-horse race between Intel and AMD. Qualcomm's Snapdragon X Elite broke that duopoly, bringing Arm architecture to Windows laptops.
Sam Altman on GPT-5 and What Comes Next: Inside OpenAI's Roadmap
Sam Altman reveals OpenAI's vision beyond GPT-5, covering AGI timelines, safety, and the models that will shape the next decade.
The AI Chip War: How Nvidia, Google, and Amazon Are Racing for Silicon Supremacy
Nvidia's GPU dominance faces challenges from Google's TPUs and Amazon's Trainium. The custom silicon race reshaping AI infrastructure.
The New Siri Is Google: How Apple Outsourced Its AI Soul in 2026
Apple's new Siri leverages Google's Gemini models for on-device intelligence. What this partnership means for the smartphone AI wars.
GPT-5.6 Sol: Inside OpenAI's Latest Model and What Fireship's First Look Reveals
OpenAI's GPT-5.6 Sol arrives with refined reasoning and coding capabilities. A first look at what changed in the LLM arms race.
Foldable Smartphone Technology: Flexible Displays and the Future of Mobile Form Factors
Foldable smartphones use flexible OLED panels and precision hinge mechanisms to create new mobile form factors. We examine the display technology, hinge engineering, and market evolution.
Apple Intelligence: On-Device AI and the Privacy Pivot
Apple's AI system combines on-device processing with cloud computing to deliver generative AI features while preserving user privacy. We examine the architecture and tradeoffs.
Tesla Optimus: The Humanoid Robot Reshaping Automation
Tesla's Optimus humanoid robot aims to replace human labor in repetitive tasks. We examine the technology, progress from Gen 1 to Gen 2, and the challenges ahead.
Convolutional Neural Networks: The Math Behind Machine Vision
How convolution operations enable neural networks to detect edges, textures, and objects in images, forming the backbone of modern computer vision.
AI Trends 2026: Quantum Computing, Agentic AI, and the Automation Frontier
IBM Technology outlines the major AI trends shaping 2026, from the convergence of quantum computing and machine learning to the rise of agentic AI systems.
AI Agents Clearly Explained: How Autonomous Software Agents Are Reshaping Work
A clear, practical breakdown of what AI agents are, how they work under the hood, and why they represent the next shift in how humans interact with software.
Best Smartphones 2026: The Real Winners Across Every Budget
A comprehensive guide to the standout smartphones of 2026 across budget, mid-range, and flagship tiers, examining the hardware and software trends that define this generation of devices.
Sam Altman on ChatGPT, AI Agents, and the Path to Superintelligence
OpenAI CEO Sam Altman outlines the trajectory from conversational AI to autonomous agents and beyond, in a wide-ranging TED conversation about the future of artificial intelligence.
AI's Thirst: How Data Centers Are Draining Our Water Supply
AI data centers consume billions of gallons of water for cooling. As AI scales, the water footprint is becoming a crisis.
Beyond LLMs: How Large Reasoning Models Are Breaking New Ground
Large reasoning models extend LLMs with multi-step reasoning, revision, and test-time compute. They represent the next frontier in AI capability.
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