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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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.
Claude Opus 4.5 and the Agentic Coding Frontier
Anthropic's Opus 4.5 sharpened long-horizon coding work: fewer handoffs, better tool use, and a benchmark race that is quietly redefining what a coding model owes its users.
iPhone Ultra: Apple's 2026 Flagship Gamble
Rumors point to a titanium, camera-first iPhone Ultra for 2026 — plus the long-awaited foldable. What the leaks actually say, and what they leave out.
MediaTek Dimensity 9500: The New Contender for Flagship Silicon
MediaTek's Dimensity 9500 takes aim at Qualcomm's flagship throne. N43 separates vendor claims from verifiable facts on architecture, AI acceleration and market share.
RAG vs Fine-Tuning vs Prompt Engineering: How to Actually Adapt an LLM
The three main ways to adapt an LLM to your data - retrieval-augmented generation, fine-tuning, and prompt engineering - and a practical decision framework covering cost, latency, freshness, and control, plus production failure modes and…
What Happens If AI Just Keeps Getting Smarter?
The intelligence-escalation debate in measurable terms: benchmark and compute trends on the path to AI systems smarter than humans, and why forecasts, alignment research, and governance all carry enormous error bars.
Why Big Tech Is Betting on Nuclear Power for AI Data Centers
Microsoft, Amazon and Google are signing nuclear power deals to feed AI data centers. N43 examines the deals, the physics, the economics and the open questions.
Direct-to-Device Satellite Messaging: How Phones Reach Beyond the Grid
Ordinary phones can now exchange messages with low-Earth-orbit satellites using shared cellular spectrum, no satellite phone required. How direct-to-device works, who is building it, and what physics still limits.
In-Context Learning: How LLMs Learn From Examples in the Prompt
Large language models can pick up a new task from a handful of examples placed in the prompt, with no retraining and no new weights. This is in-context learning: how it works, what induction heads reveal about it, and where the…
OpenAI's Broadcom Chip: The Full-Stack Bet That Reshapes AI Silicon
OpenAI has unveiled its first custom AI chip, co-designed with Broadcom. Why a model lab builds its own silicon, the inference economics driving it, the Google TPU and Apple precedents, what it means for Nvidia, and the tape-out risks that…
Pixel 11 Pro vs Galaxy S26 Ultra vs iPhone 17: The 2026 Flagship Camera War
The Pixel 11 Pro, Galaxy S26 Ultra, and iPhone 17 Pro Max converge on excellent photos in daylight, so the 2026 camera war is decided by software: Night Sight, Magic Capture, Instant Night Sight, Pro Stable Video, and the computational…
Agentic AI Explained: How Autonomous Agents Actually Work — and What Comes After Chatbots
Agentic AI is the shift from systems that answer to systems that act. We break down the four defining properties of software agents, the loop that makes autonomy possible, and what changes when chatbots stop being the end state.
GPT-6 Astra Goes Public: What OpenAI's Biggest Model Release Means for AI in 2026
OpenAI staged GPT-6 Astra in two waves: a trusted-partner preview on September 3, 2026 and a public release on September 4. We separate the documented record from the September 2026 discourse and place Astra in the arc of the GPT series.
The Chip That Runs the Boom: How NVIDIA's GPUs Became the Engine of Modern AI
A company founded in 1993 to draw video game pixels now supplies the arithmetic behind the world's most ambitious AI systems. We examine why GPUs fit the work, what the CUDA moat actually protects, and how long one supplier can sit at the…
The End of the Physical SIM: How eSIM and iSIM Quietly Rewired the Phone in Your Pocket
The little plastic card that identified you to a mobile network for three decades is disappearing into software. We trace how eSIM moved your carrier profile into the phone itself, why iSIM goes one step further, and what this quiet…
AI Weather Forecasts: How WeatherNext and Friends Turned Forecasting Into a Machine Learning Problem
Google DeepMind
Claude 5 Prompting Rules: What Anthropic's Guidance Reveals About Steering Frontier Models
Anthropic's published prompting guidance for the Claude 5 family frames seven rules for steering frontier models. Why prompt engineering still matters in 2026, how providers document steering behavior, and what systematic guidance reveals…
Project Astra: Inside Google's Vision for a Universal AI Assistant
Google DeepMind's Project Astra research prototype demonstrates an AI assistant that sees, hears, remembers, and responds in real time through a phone's camera and microphone. What the demo proves about multimodal, memory-capable,…
The Four Kinds of Memory That Make AI Agents Actually Work
Working context, episodic history, semantic knowledge, and procedural skills: the four memory systems that separate autonomous AI agents from stateless chatbots, and how frameworks actually store, retrieve, and forget.
DeepSeek's Return and the Open-Weights Squeeze on LLM Economics
The Chinese lab's comeback release reignited the debate over open-weights models, training efficiency, and whether frontier-model pricing can survive a competitor that gives its weights away.
Vera Rubin: NVIDIA's Post-Blackwell Bet on Efficiency Over Raw Speed
NVIDIA's Vera Rubin platform follows Blackwell with a design thesis built on efficiency: more tokens per watt, not just more FLOPS. How the successor architecture rethinks AI compute at data-center scale.
GPT-6 Astra and the 2026 LLM Frontier: What OpenAI's Flagship Actually Changed
OpenAI's GPT-6 Astra arrived as the most contested model launch of 2026 - celebrated for capability, scrutinized for safety decisions. Inside what the release means for the model race, alignment research, and enterprise adoption.
Snapdragon 8 Elite Gen 5: The Benchmark King With a Heat Problem
Qualcomm's flagship mobile chip posts record benchmark scores while fighting a thermal ceiling that reshapes what 2026 flagships can sustain. A look at the silicon, the throttling data, and the design tradeoffs it forces.
Gemini 3 Deep Think: Google's High-Compute Reasoning Bet and What It Changes
Gemini 3 Deep Think trades longer inference time for large gains on the hardest reasoning benchmarks. Here is what the high-compute paradigm changes, what it costs, and where the reasoning race goes next.
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