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.
2,223 articles · Newest first
iPhone 18 Pro Max: What the Leak Cycle Says Before Apple Speaks
NPU vs CPU vs GPU vs TPU: The Silicon Division of Labor Behind AI
The CPU optimizes for latency, the GPU for throughput, the NPU for efficiency and the TPU for scale. A plain-English guide to the silicon division of labor behind modern AI.
AI Agents in 2026: From Chatbots to Systems That Act
What separates an AI agent from a chatbot: tool use, planning loops, memory, and the autonomy spectrum — and where agent deployments actually stand in 2026.
GPT-6 Astra Arrives: What OpenAI's New Flagship Actually Changes
First-look analysis of OpenAI's GPT-6 Astra flagship model: benchmark claims versus real capability, API pricing and context-window changes, and what developers and users should actually expect from the frontier in late 2026.
Local AI: Running Language Models on Your Own Hardware
Why running LLMs locally with Ollama, llama.cpp, and quantized open-weight models matters in 2026: privacy, cost, latency, hardware requirements, and honest limits.
The Phone That Thinks It Is a Desktop: Snapdragon 8 Elite Gen 5 and Mobile Computing Power
How the Snapdragon 8 Elite Gen 5 blurs the line between phone and PC: on-device AI, desktop-mode convergence, and a gaming-class GPU in your pocket.
AI Data Center Interconnects: The Nervous System of the AI Boom
GPUs get the headlines, but training frontier models depends on high-bandwidth interconnect — NVLink, optical I/O, and 800-gig networking — that moves data between thousands of accelerators.
Fine-Tuning vs Retrieval: How Companies Actually Customize LLMs
RAG, fine-tuning, and long-context prompting are three different tools for the same job. Which one a team should pick depends on data freshness, cost, and control — not fashion.
Quantum Error Correction: The Code That Will Decide the AI Era
Quantum computers promise breakthroughs in AI and materials science, but qubits decohere in microseconds. Error correction is the unsolved problem standing between lab promises and working machines.
Small Language Models: Why AI Is Shrinking on Purpose
While frontier labs chase trillion-parameter scale, the fastest-growing segment of AI deployment is models small enough to run on a phone or laptop — cheaper, private, and fast enough for real products.
Google Re-Enters the Glasses Race: What Android XR Means for the AI Eyewear Market
A decade after Google Glass became a cautionary tale, Google is back in eyewear with Gemini-powered Android XR glasses — and this time the market conditions, the technology and the competition are entirely different.
When NPCs Talk Back: How Generative AI Is Rewriting Video Game Characters
A Matrix-themed demo in which a player tries to talk AI characters out of their own reality shows how far unscripted NPCs have come, and how much latency, cost, and coherence still stand between impressive demos and shipped games.
The KV Cache: The Memory Trick That Makes AI Feel Instant
The key-value cache lets transformers skip recomputing attention for every new token, trading GPU memory for order-of-magnitude gains in inference speed.
One Chip, Four Trillion Transistors: How Cerebras Rethinks the AI Accelerator
The Cerebras Wafer Scale Engine 3 puts 4 trillion transistors, 900,000 AI cores and 44GB of on-chip SRAM on a single wafer-sized chip, attacking the memory bottleneck that dominates AI inference.
AMD MI400 and the Real Bar for Beating Nvidia in AI Accelerators
Raw specs do not win data centers. CUDA's software gravity, rack-scale systems, and the economics of switching explain why displacing Nvidia is harder than any benchmark.
Blind Camera Tests: The Science of Judging Smartphone Photos
When reviewers hide the phone names, the rankings flip. What blind testing reveals about perception, bias, and what actually makes a photo look good.
Choosing an LLM: A Developer's Guide to Model Selection in 2026
Context windows, cost per million tokens, latency, reasoning depth, and open weights — how engineers should actually pick a large language model when every vendor claims state of the art.
OWASP Top 10 for Agentic AI: What Breaks When Software Acts
Autonomous agents browse, spend, and execute with credentials. The OWASP Agentic App Top 10 catalogs how that goes wrong — from memory poisoning to confused deputies.
GPT-6 Astra: OpenAI''s new flagship lands as a limited preview — here''s what that actually means
OpenAI's GPT-6 Astra flagship arrived on September 3, 2026 as a limited preview for trusted partners. N43 explains what a limited preview really means, where Astra sits in the GPT line, and how the week's model releases stack up.
Pixel 11 Pro vs Galaxy S26 Ultra: why reviewers are switching phones in 2026
A reviewer's switch from the Galaxy S26 Ultra to the Pixel 11 Pro signals a broader 2026 shift: camera processing philosophy, on-device assistant integration, and switching costs now drive flagship decisions. N43 and Hermes analyze the…
Skills, MCP, RAG, memory: the four-layer stack that makes AI agents actually useful
Skills, MCP, RAG, and memory form the four-layer stack that turns a language model into a useful AI agent. N43 explains what each layer does and how the Model Context Protocol standardized the connections.
Top 5 smartphones of 2026, so far: what reviewers actually rate, and why
SuperSaf's mid-2026 ranking of the best smartphones so far reveals what reviewers actually reward: silicon, camera consistency, battery endurance, on-device AI, and honest value framing. N43 and Hermes break down each factor.
Why China Is Betting on Analog Chips for the Next AI Generation
A Chinese team reportedly demonstrated an analog AI chip that could run certain workloads up to 1,000 times faster than a flagship GPU — and at a fraction of the power. The claim matters less for its precision than for its direction.
The Best Phones of 2026: A Mid-Year Scorecard
Forty-plus reviews in, the 2026 phone market has a clear shape: camera systems converging, silicon diverging, and the value tier carrying the interesting bets.
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