The Aspiring Nerd

Convert Apple Music playlists into shareable website using AppleScript, Markdown, and JavaScript—no database, no API, just simple scripts and HTML.

Forwarding unedited AI-generated content wastes everyone's time.

Major model releases while an OpenAI test agent escaped its sandbox to hack Hugging Face and 1,300+ frontier lab employees called for slowing AI progress.

US government restricts frontier AI models while Anthropic and OpenAI file for IPO, SpaceX acquires Cursor , and Claude caught embedding fingerprinting us.

Midjourney is apparently building a full-body ultrasonic scanner spa.

Talent, compute, and supply chains.

Open source security faces an AI-driven vulnerability gold rush.

Discover how China's AI research culture differs from Western labs.

April 2026 AI roundup: OpenAI-Microsoft restructure, AWS partnership, Claude Opus 4.7, GPT-5.5, major security breaches, and the wildest model leaks yet.

New models everywhere, agents getting hijacked in creative ways, the human cost of AI overload, and Anthropic's leaked Mythos project.

Model releases everywhere, AI agents going rogue, Anthropic refusing the Pentagon, OpenAI signing the deal.

Ethan Mollick warns that dismissing AI hype means missing the chance to shape dramatic changes already underway.

AI tools don't reduce workload—they intensify it through faster pace, broader tasks, and extended hours.

January 2026 brain dump covering AI agents, infosecurity threats, OpenAI's ad plans, and a few delightfully weird corners of the internet.

Watching AI agents interact on Moltbook is fascinating, weird, and a bit concerning.

The AI Steering Wheel transforms vague instructions like "simpler" or "ambitious" into specific, actionable commands that LLMs actually understand.

Learn how Codex Web lets you build and deploy projects instantly from your phone—no desk setup required.

Managing AI agents requires the same skills as managing people or products, that's why product managers excel at getting results from LLMs.

Have you ever asked an LLM to do the same task in different languages and gotten wildly different results?

Learn how a curator-first workflow helped increase blog output using Feedly, Raindrop, and a custom Astro CMS to capture, shape, and publish.

My 2025 review: from building real projects with LLMs to exploring security risks, prototyping, and the philosophical impact of AI on work and creativity.

December's tech discoveries: dependency cooldowns, AI criticism frameworks, MCP apps, normalization of deviance in AI, orbital data centers, and more

Bryan Newbold's quote captures why leaving X matters—network effects work both ways, and institutions moving to Bluesky could trigger the tipping point.

I'm passionate about AI and LLMs, and I genuinely believe they could transform our world for the better.

Discover how the normalization of deviance threatens AI systems (or why companies gradually accept risky shortcuts)

A curated collection of tech discoveries from September-November 2025, covering AI developments, security threats, and privacy frameworks

How Gemini 3 and Google AI Studio revolutionize prototyping.

Elena Verna critiques AI credit pricing models and urges product teams to rethink how they charge for AI-powered features.

First impressions using Codex CLI with Agents.md and PRDs to speed product work and code experiments without another subscription.

Geoffrey Litt compares effective coding with AI support to a surgeon working with a skilled team, staying hands-on with the core.

Reflecting on the business of cleaning up AI-generated code and why vibe-to-production services are becoming lucrative.

Michael Bassili laments losing em dashes to safety filters and how AI tooling reshapes writing habits for bloggers.

A roundup of my July–August rabbit holes: AI tools, odd ideas, and quick notes captured before they vanish.

Bruce Schneier argues we still lack defenses against malicious LLM inputs and outlines why current security approaches fall short.

Building a tag manager component for a blog CMS using ChatGPT for UI prototyping and Cursor for implementation, with LLM-powered tag suggestions.

Highlighting Anu Atluru's take on doomprompting—how short, lazy prompts make us passive creators and duller conversationalists.

Testing GPT-5 in Cursor to ship version history features quickly, with thoughts on speed, accuracy, and AI-assisted coding.

Explaining slopsquatting—the tactic of registering fake packages that LLMs hallucinate, priming supply-chain attacks.

Orta Therox frames AI-assisted coding as programming's photography moment, where new tools reshape craft rather than replace it.

Vincent Schmalbach personifies his LLMs like quirky interns, comparing ChatGPT, Claude, Gemini, and Grok personalities.

Notes from May–June explorations: AI agents, security quirks, regulation chatter, and context engineering experiments.

Simon Willison's identify–solve–verify mantra on why humans remain essential to guide, debug, and validate LLM-generated work.

John Rush shares how he builds a personal AI factory with Claude Code, MCP, and agents, mirroring my own coding workflow.

Simon Willison outlines the lethal trifecta for AI agents—private data, untrusted content, and external communication risks.

Devansh argues fine-tuning LLMs is destructive overwriting.

April 2025 learnings: panoptic segmentation, LLM grounding, EU AI Act, vision-language models, and prompt versioning.

Sean Goedecke on why debugging is emotionally challenging—it breaks our comforting illusions of control and understanding.

OpenAI's o3 model can identify photo locations—a powerful but dystopian capability that raises serious privacy concerns.

Drew Breunig on how AI is flipping the script: coding is becoming commodified while domain expertise becomes the real differentiator.

Exploring the security risks of MCP and why it may not be production-ready.