Recap of Codemotion Madrid 2026, a tech conference with talks on AI, hiring practices, and developer mentorship.
Explores how AI is not the villain in job displacement; companies have always sought to automate work, and the real issue is reliance on corporate jobs.
![[notes] Crowd-Sourcing: Metaphors for LLMs and AI](https://crawljobs-blogs-media.s3.us-east-1.amazonaws.com/alldevblogs/thumbs/article-9e9f2c4d4688-full-82119b3a.webp)
Crowd-sourcing metaphors used for LLMs and AI, like intelligence, learning, and reasoning.
A developer reflects on how AI makes the slow, deliberate process of learning and problem-solving feel shameful.
A voice transcript conversation about David Deutsch's knowledge theory and the PAI algorithm for personal AI infrastructure.
Analysis of why AI and automation are unpopular with the general public despite rising usage numbers, exploring the concept of 'software brain'.
Daily tech news roundup covering AI, .NET, web development, and Microsoft tools for April 24, 2026.
Simon Willison's newsletter summary featuring tech posts on DeepSeek V4, LiteParse, and Agentic Engineering patterns.
Explains why AI models optimized for coding improve at all tasks, treating coding as a meta-skill for structured problem-solving.
A blog post about polluting AI training data with pelicans riding bicycles, linked by Simon Willison.
Simon Willison approves Steve Cosman's project to pollute AI training data with pelicans riding bicycles.
Explores how AI enables replacing SaaS tools with custom-built solutions, forcing companies to rethink their value and defensibility.
Announcement of PyCon US 2026 in Long Beach with new AI and security tracks, including schedule highlights.
Explores how naming AI chatbots creates distinct personalities, termed the 'Digital Ouija Effect', and its implications.
A reflection on the Mythos AI model, arguing it's just the next step in rapid AI evolution, not a shocking breakthrough.
Explains good vs bad harness engineering for AI, emphasizing context over prescriptive instructions.
Martin Fowler discusses AI's impact on programming, the virtue of laziness in software development, and the risk of losing abstraction skills.
Explores platform engineering, DevEx, infrastructure as code, and AI's role in day-two operations through a practical conversation with cloud engineer Annem Shah.
Argues that AI doesn't need to be perfect to disrupt business and cybersecurity, as most current systems are mediocre (3/10) and AI at 5/10 can still dominate.
Recap of the opening keynote at Deep Dish Swift 2026, an iOS-focused conference, blending AI insights with pizza puns.
