Announcement of the release of 'Build a Reasoning Model (From Scratch)', a book on implementing modern reasoning techniques for AI.
A tech professional critiques anti-AI bias in coding, defending AI tools like LLMs while acknowledging their flaws and advocating for balanced adoption.
Tutorial on setting up a local coding agent using open-weight LLMs and open-source tools as an alternative to Claude Code and Codex.
An open source maintainer argues vulnerability reports are no longer special due to LLMs making security insight widely accessible.
Analysis of Graze's co/core AI cooperative and the niche future of LLMs, with skepticism about tech oligarchy.
Martin Fowler shares thoughts on LLMs making programming more fun, DDD Europe highlights, and conversation registers with AI.
Explains the key differences between microservices and AI agents, highlighting broken assumptions and security risks.
How LLMs like Claude inspired a developer to add a Talks page to his personal site after ChatGPT hallucinated a feature.
Explores how large language models automate reification, turning abstract concepts into perceived reality through AI-generated explanations.
A writer explains how AI-assisted writing provides access and voice, not slop or cheating, using personal essays as evidence.
Reflection on LLM-built projects and the question 'Now what?' after creation, focusing on purpose and ethics.
A reflective analysis on whether AI tools truly boost productivity or just create a sense of performative busywork in software development.
Analysis of Nemotron 3 Ultra, a 550B parameter LLM using Latent MoE scaling and hybrid Mamba-Transformer architecture.
Explores the argument that AI is 'just predicting tokens' and demonstrates understanding through novel murder mysteries with fake physics.
Microsoft announces MAI-Thinking-1 and MAI-Code-1-Flash LLMs, with details on parameters, licensing, and training data.
Microsoft announces MAI-Thinking-1 and MAI-Code-1-Flash LLMs, with low active parameters and claims of performance, but training data issues remain.
A plain English guide explaining how LLMs like ChatGPT actually work, covering prediction, vectors, embeddings, and common misconceptions.
A developer reflects on using Claude Code, noting less coding but more testing and understanding of AI-generated code.
A critical analysis of AI-generated content duplication on Hacker News, exploring the theory of collective hallucination in tech media.
Explores the concept of AI gateways, their benefits, and how they decouple AI clients from LLM backends for improved management, cost control, and compliance.
