TL;DR When AI can generate thousands of solutions on demand, the bottleneck shifts from thinking capacity to judgment - knowing which answer is actually right Taste - the ability to recognise what is elegant, insightful, or truly worth building - becomes the primary skill rather than a secondary one layered on top of expertise Editing and curation become more valuable than creation; the ability to say “no” to a thousand options and hold out for the right one is rare and increasingly prized Experience still matters, but for a different reason - not to accumulate facts, but to develop the discernment that recognises quality when you see it In a world of abundant intelligence, wisdom - knowing not just what you can do but what you should do - becomes the most distinctly human and most valuable contribution If intelligence is becoming a commodity, then something else becomes precious. ...

The Pivot Year: Polkadot’s Strategic Shift in 2026 Polkadot has undergone a fundamental transformation in 2025-2026. After years of building infrastructure layers, the ecosystem is making a decisive pivot toward user-facing applications. This isn’t just a narrative shift - it’s embedded in technical upgrades, tokenomics redesigns, and validator economics that reflect a maturing network ready to compete at the application layer. Timing: This transformation arrives as traditional finance begins acknowledging blockchain infrastructure, and as the broader crypto market cycle approaches a pivotal moment for adoption. ...

About NASA’s Artemis II mission represents a critical step in returning humans to the Moon. Real-time tracking dashboards provide the public with live updates on mission status, vehicle telemetry, and launch preparations. These dashboards showcase NASA’s commitment to transparency, allowing space enthusiasts and stakeholders to monitor every aspect of the mission as it unfolds. Official Resources Artemis II - NASA.gov - Official NASA information and resources for the Artemis II mission. ...

This guide documents a highly productive, AI-driven development stack using cloud-based LLMs, terminal tools, IDEs, and mobile access. It is designed for developers who want persistent workflows, AI-powered coding assistance, and flexible access from multiple devices. TL;DR Primary IDE: Cursor AI for daily work, Claude Code CLI for multi-file refactors. Local completions: Ollama with Qwen 2.5 Coder or Llama 3.3 to keep latency low and costs at zero. Routing: OpenRouter as a single API gateway; LiteLLM if you want fallback chains. Persistence: tmux sessions survive disconnects; Tailscale makes your MacBook reachable from an iPhone without port forwarding. Total baseline: around $20/month (Cursor only) scaling to $40-50/month plus API usage for the full stack. Architecture Overview Hardware & Connectivity An iPhone connects over Tailscale VPN to a MacBook Air. The MacBook runs tmux or zellij for session persistence, alongside Lungo or Patterned as keep-awake utilities. ...

Overview Databricks offers certification tracks aligned to common roles: Data Engineer, Data Analyst, Apache Spark Developer, Machine Learning Engineer, and Generative AI Engineer. All certifications: Validity: 2 years from pass date Cost: $200 per exam attempt Format: Multiple choice, proctored online Recent Updates (2026): Emphasis on Lakeflow Declarative Pipelines (the evolution of DLT), Unity Catalog, liquid clustering, predictive optimization, AUTO CDC, Lakehouse Federation, and serverless compute Choose a certification based on your: ...

The views in this post are my own personal reflections on industry patterns, written in my own time. They are not about any specific employer, team, or colleague, past or present, and do not draw on any non-public information. Unity Catalog sounds straightforward: “one governance layer for all your data and AI assets.” In theory, it’s elegant. In practice, you’ll run into gotchas that docs don’t prepare you for. This post collects generic patterns that come up repeatedly in public talks, vendor docs, community write-ups, and open discussions of UC adoption in 2026. For where Unity sits in the broader picture of catalogs, table formats, and engines, see The modern lakehouse stack. ...

What the Amiga Got Right (That We’re Still Copying) The Commodore Amiga was not the most successful computer. It was not the fastest. It was not the cheapest. It was introduced in 1985, bought by Commodore in a panic, and discontinued by 1994 as the company collapsed. By most commercial metrics, it was a failure. Yet almost every good idea in modern computing traces back to the Amiga. Preemptive multitasking. Graphics layers and compositing. Named pipes. Memory protection. Hardware acceleration. Plug-and-play peripherals. Scripting languages. Digital audio and video editing. Networking. The Amiga did these things in 1985 when IBM PCs were still running in 8-bit mode. ...

Compunet: Britain’s Forgotten Pre-Internet Community Long before Facebook, Twitter, or Reddit, there was Compunet. In 1982, in a small flat in Islington, London, two teenagers set up a computer bulletin board system on a network called Prestel. Within a few years, it had become one of the world’s first genuine online communities - thousands of people meeting in cyberspace, exchanging messages, playing games, and falling in love, all before the internet existed in public consciousness. ...

TL;DR The $20/month subscription tier is not disappearing, but what you get for it is quietly shrinking - agent features are being capped or metered while the price holds The Claude Code episode (briefly paywalled for Pro users) was a deliberate A/B test, not a glitch - a signal that Anthropic is steering heavy users toward the Max tier at $100 - $200/month Agent workflows like Claude Code consume 50 - 500x more tokens than a chat session, making flat all-you-can-eat pricing economically unsustainable for power users Most major providers (Anthropic, OpenAI, Google, Cursor) are projected to raise consumer tiers by $5 - $10 by end of 2026, with sharper increases at the enterprise level If you are a chat-only user the $20 plan remains a good deal; if you are running agents daily, budget for a higher tier or pay-as-you-go API access instead For the last three years, $20 a month has been the magic number. Claude Pro, ChatGPT Plus, Gemini Advanced, Copilot Pro, Cursor Pro - all twenty dollars, all clearly priced to anchor against Netflix rather than against enterprise software. That anchor is cracking. The labs are burning cash on inference for power users, the frontier models cost more per token than they did a year ago, and agent tools like Claude Code and Codex are consuming ten to a hundred times the compute a chat session does. Something has to give. ...

TL;DR Modern knowledge work has quietly built identity on producing things - and AI pressure makes that fragility visible without you having to lose your job to feel it History (Keynes’ 1930 prediction) suggests freed-up capacity defaults to “more work”, not leisure - the shift to meaningful work has to be chosen deliberately What stays valuable when execution gets cheap: deciding what is worth doing, taking responsibility, sitting with other humans, craft for its own sake, and growing other people The “everyone will do deeper work” narrative ignores the dignity problem - for many people, work is structure and belonging, not just a vehicle for meaning Put your meaning somewhere that does not depend on being the cheapest producer of an artefact - it was never a secure place to put it, and agents are just making that clearer This is another “thinking out loud” post, in the same spirit as the agent-first architecture piece. I do not know how any of this is going to land. I am writing it partly because the question has been rattling around in my head for months, and partly because I suspect a lot of people in and around software are quietly wondering the same thing without quite wanting to say it out loud. ...