AI

An analysis of the current cultural, economic, and political zeitgeist in San Francisco, ranging from tech-sector trends to debates over wealth taxes.

Explore the trade-offs between using high-memory MacBook Pros versus dedicated NVIDIA-based workstations for running local LLMs and agentic workflows.

A look at diverse expert and community predictions for the next 5-10 years, covering the impact of AI, climate change, and economic shifts on society and the workforce.

Explore the current landscape of running local LLMs, covering popular model choices like Qwen 3.6, hardware recommendations, and the challenges of non-NVIDIA setups.

Explore emerging sentiments among software engineers regarding AI-mandated workplaces and discover practical strategies for finding roles that prioritize human-centered development.

Explore whether copying software functionality and UI is still defensible when not directly copying source code, especially in the age of AI.

An analysis of the feasibility of deploying residential GPU clusters for AI computing as a model for Universal Basic Income, examining key logistical and security hurdles.

An analysis of how AI tools are reshaping the software development profession from manual coding to managing AI agents, and what this transition means for engineering standards.

Norway's ban on AI in elementary schools sparks debate on the role of technology in foundational education and the importance of preserving critical thinking skills.

Explore the most frustrating aspects of modern AI development, from unsolicited code editing to the lack of version control and the broader industry impact on hardware and privacy.