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.
2,221 articles · Newest first
Claude Fable 5.1: what Anthropic’s rapid point-release cadence says about the model market
Claude Fable 5.1 is a point release in the software sense: targeted fixes, weeks after Fable 5. What Anthropic's rapid cadence says about pricing, pinning, and the model market's new rhythm.
Gemini 3.8 Flash: how Google’s small-model update quietly changed the leaderboard
Gemini 3.8 Flash is an unglamorous, important update: cheaper and steadier inference in the tier where most tokens actually flow. What it changes for app builders and the small-model pecking order.
One UI 9 and Galaxy AI: how Samsung’s software became the upgrade that matters
Hardware gains have flattened, so the phone upgrade story moved to software. One UI 9, built on the Android 16 generation, distributes Galaxy AI through the whole interface - and Samsung's support policy makes the software argument for…
From vibe coding to agentic engineering: how AI-assisted development grew up in 2026
The improvisational phase of AI-assisted coding is ending. As Andrej Karpathy framed it in conversation with Sequoia, developers now direct agents that plan, edit, test, and iterate - while humans keep review, architecture, and…
ChatGPT vs Claude vs Gemini: What the 2026 Subscription Battle Is Really About
Three assistants, three $20 plans, and a land grab for your workflow. What separates ChatGPT, Claude, and Gemini in 2026 — capability, context, price, and the lock-in nobody mentions at checkout.
The Fastest Phone in the World: How PhoneBuff's Speed Tests Actually Work
N43 analysis: Smartphone performance benchmarking — app launch tests, chipset speed, thermal throttling — based on
How AI Chips Work: Inside the Neural Engine in Your Phone
Neural engines and NPUs turned matrix multiplication into dedicated silicon. Here is how MAC arrays, quantization, and TOPS ratings make on-device AI work — and when local inference beats the cloud.
Build a Large Language Model From Scratch: Tokens, Training, and Transformers
N43 analysis: How LLMs are built — tokenization, embeddings, transformer architecture, training — based on
Google Pixel 10: Tensor G5, Magnets, and Gemini on a Phone
Google's Pixel 10 lineup pairs its first fully TSMC-made Tensor chip with Qi2-style magnets and deeper Gemini AI integration. An analytical look at what the hardware and AI features actually change.
How Apple Silicon Reset the Entire Chip Industry
The M1 chip ended Apple's fifteen-year dependence on Intel and pushed the whole computer industry toward custom system-on-a-chip designs. An analytical look at how it happened and what it changed.
Vibe Coding: When Programmers Stop Reading Their Own Code
Vibe coding lets developers describe software in plain language and accept AI-generated code with minimal review. An analytical look at the practice, its real productivity data, and the risks it introduces.
Why the World Is Not Ready for Superintelligence
AI systems are approaching capabilities once reserved for science fiction, but the institutional, technical, and governance scaffolding needed to handle them lags far behind. An analytical look at the readiness gap.
Galaxy S26 Ultra vs Pixel 11 Pro XL: The 2026 Flagship War
Samsung's spec-maximalist Galaxy S26 Ultra meets Google's software-first Pixel 11 Pro XL at the same flagship price. An N43 analysis of silicon, cameras, AI, battery, update policies, and Android market stratification in 2026.
GPT-6 Astra: OpenAI's New Flagship Model and What It Changes
OpenAI bills GPT-6 Astra as its most intelligent and aligned model ever. We break down what a frontier release actually means: scaling, alignment, benchmarks, competition, and what the claims commit OpenAI to.
Peak Smartphone: Why 2026's Phones All Feel the Same
Yearly upgrades are incremental, cameras have converged, and the new battleground is on-device AI. We break down why 2026's smartphones all feel the same — and what could break the plateau.
The State of AI in 2026: Scaling Laws, Agents, and the Road to AGI
Scaling laws, test-time compute, agentic AI, GPU supply chains, and China-US model competition: a sober N43 assessment of where artificial intelligence actually stands in 2026, and the honest uncertainty around AGI timelines.
Google's Pixel 11 event, compressed: the Tensor G6, Gemini on-device, and the camera war
The Verge compressed Google's Pixel 11 launch event into eight minutes. We unpack what Google actually announced on August 12, 2026: the sixth-generation Tensor G6 chip, on-device Gemini intelligence, a reworked camera system, and the…
Everyone's shipping AI agents in 2026 — here's what they actually are and how they're built
The AI industry's buzzword of the year is the agent: a model that can use tools, remember, and act on your behalf. A widely watched Futurepedia explainer breaks down how agents work and how to build one without writing code. We look at the…
The iPhone 18 Pro Max launch is here: the leaks, the silicon, and what's actually new
Ahead of Apple's September 2026 iPhone event, leaks covered by PeekTech's latest video point to a redesigned iPhone 18 Pro Max, a next-generation A20-class chip, and a heavier bet on on-device AI. We sort the reported claims from the…
Beyond the chat window: how large reasoning models are changing what AI can figure out
Large reasoning models, the class of AI systems that spend real computation thinking before they answer, moved from research curiosity to industry default in under two years. An explainer video from IBM Technology breaks down what LRMs…
AI Agents Explained: How Autonomous Systems Plan, Act, and Correct Themselves
AI agents have moved from demos to production. A technical walkthrough of the reasoning loop, function calling, memory, orchestration frameworks, multi-agent patterns, failure modes, and the deployments defining 2026.
How Microchips Are Made: From Sand to the Silicon Brains of Modern AI
An N43 analysis of the microchip manufacturing pipeline, from purified silicon and wafer slicing to EUV lithography, packaging, and the fabs that every AI chip depends on.
How Transformers and Attention Work: The Architecture Behind Every Modern LLM
An independent technical explainer on the transformer architecture: why recurrent networks hit a wall, how self-attention, multi-head attention, and position encodings work, and what scaling laws and quadratic context costs mean for the…
System on a Chip: How the Silicon Inside Your Phone Got So Powerful
How the smartphone system on a chip swallowed the motherboard: CPU clusters, NPUs, ISPs, 5G modems, and the 2026 race to put AI on a single die.
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