How to Choose an AI Model for the Task: a 5-Axis Capability Matrix Instead of a Ranking of Names
Choose a model by five capability axes, not by the name in the release headline — a framework you won''t have to rewrite after every update.
NEURODRIFT AI
AI
Longreads on artificial intelligence without the hype or the apocalypse: how LLMs, agents and automation rewrite work, attention and power — and who actually wins. Model breakdowns, tools and consequences the press releases skip.
How to Write a Spec That Both a Human and an Agent Will Understand: A Template + 6 Anti-Patterns
An AI agent does not read between the lines — every ambiguity in your spec becomes a fork in the road where it silently picks the worst option. Here is the template that fixes that, six failures hiding in every second brief, and one technique that catches the gap before the concrete is mixed.
Jevons Paradox for AI: Why Cheaper Generation Increases Consumption and Raises the Price of Attention
Efficiency never reduces consumption — it multiplies it. When anything can be generated, the scarce resource is no longer text but judgment: where to look.
AI and Jobs by 2040: Why Mass Unemployment Isn't Coming — and What's Coming Instead
Canaries were pulled from British coal mines back in 1986 — instruments had learned to detect the gas instead. In 2026, the canaries are back: employment for 22-to-25-year-olds in AI-exposed professions has dropped 16%, while US unemployment sits at a historic low. This is an autopsy of the central mistake in the whole AI-and-jobs debate: everyone's bracing for mass layoffs, while the real crisis arrives as a quiet non-invitation. Meet the infinite intern, find out why your salary is really rent on scarcity, learn who's already collecting the automation dividend (hint: the top 10% of Americans hold 87% of the stock market) — and walk through five scenarios for how this plays out by 2040.
AI Replaces Tasks, Not Professions: Decomposing Your Job into Tasks Shows Who Gets Automated First
AI doesn't replace professions — it takes bites out of tasks. Survival belongs not to whoever has a "safe" job, but to whoever decomposes their work into tasks faster than their manager does.
Context Is the New Code: Why in 2027 You Write Memory for the Machine, Not Functions
The bottleneck in software development has shifted from writing code to context engineering — creating a profession that doesn't exist in any diploma yet but already shows up on payslips.
Don't Ask What AI Costs: Ask How Many Tokens Your Real Hourly Rate Is Worth
A breakdown of the real $/token economics from production: why an investigation report costs $3.47, how a stateless API turns a naive loop into O(N²), why output is 5x more expensive than input, and how a named antagonist from a market-research pipeline racked up $47,000 in 11 days. Every number verified, with sources. An audit checklist tool for your own books inside.
RAG as Cargo Cult: You're Building It Because Everyone Does, Not Because You Need It
Dnister dissects the reflexive RAG architecture: six peer-reviewed benchmarks (Databricks, Stanford, SIGIR, Chroma, Adobe) show that adding random noise raises accuracy by up to +35%, while a perfect retriever often hurts most. A contrarian hot-take on why the problem is almost never in retrieval — with a decision matrix for the reader.
The World Is Being Rewritten for Machines to Read. And You're Part of the Text
In Bengaluru, a person is paid $230 a month to fold towels with a camera on their forehead — training the robot that will replace them. AI is leaving the screen and turning reality into data: where this leads.
Build Yourself an Exocortex: End the Daily Groundhog Day With a Genius
Your Claude or ChatGPT is patient H.M.: brilliant every second, with no bridge across the night. Kyle Redelinghuys ran 10 billion tokens in 8 months — $15,000 of compute for $800, because the same context kept being reused. 9 loops that turn a one-shot genius into an exocortex — and where €1,000 actually goes.
The Compute Curtain: the week AI became an instrument of the state
On June 12, a single US government letter switched off two Anthropic frontier models for every foreign national on the planet. Why AI became an instrument of the state, how the 'compute curtain' works, and who holds the switch to your access.
€27 a month vs Concorde: why 'grown-up' infrastructure kills 74% of startups while boring infra prints money
My infrastructure is 11 containers, 6 products, €27/month, a stack that looks like 2014. And it's not shameful — it's an edge. An anti-hype autopsy: Brooks, WhatsApp, Amazon, 37signals and 74% of dead startups against the 'architecture astronaut' who builds not your product but his own résumé, on your runway.
A Conductor at Double the Rate: Claude Fable 5 and the New Economics of AI Intelligence
Dnister breaks down the launch of Claude Fable 5 — Anthropic's first generally available Mythos-class model at $10/$50 per million tokens. Why 'should we switch' is the wrong question, the new economics of AI (cost-per-task versus cost-per-token), how to route tasks across Haiku, Sonnet, Opus and Fable, a fact-checked effort-level grid, the counter-thesis about definition of done, why 1M context is not memory, and the anti-patterns that burn budgets. With pricing and routing tables as of June 2026.
After the Prompt: The Birth of an Army of Agentic Loops
The prompt is no longer the main weapon for working with AI. The loop becomes the main one: context, agent, tools, artifact, verification, memory, repetition. The same architecture as in Madyar's drones — only in code.
Which AI model to choose for your task? A practical guide to GPT-4o, o1, Claude 3.7 and Gemini 2.5 Pro
A detailed comparison of the main 2025 AI models — GPT-4o, o1, Claude 3.7 and Gemini 2.5 Pro. Find out which model fits your task — from programming to creative writing and business analytics.
Text automation: why snippets are a must-have tool in 2025
From email to AI commands — how text snippets save hours every week. A look at the best tools, templates and use cases for freelancers, teams and offices.
How ChatGPT will change your life in 30 days: a step-by-step guide
Learn how to use ChatGPT over 30 days for daily life, work and learning. Real examples, tools and a step-by-step plan for beginners.