#llms
8 posts
Why LLM hype hurts developers and how open-source models can deliver real value
Geohot argues that hype around frontier LLMs obscures practical benefits of open-source models, urging developers to focus on real productivity gains.
The Problem with 'Ask an LLM' as a Default Response
The reflexive 'ask an LLM' response can be frustrating and unhelpful when seeking specific, lived experience or expertise.
Addressing AI-Generated Code Bloat: A New Service Tackles 'Vibecoded' Legacy Systems
Explore the emerging challenge of AI-generated 'slop' code and a service offering to refactor bloated codebases. Learn how to maintain code quality in AI-assisted development.
Unpacking Emily Bender's 'Stochastic Parrots' Metaphor: Five Years On
Emily Bender revisits the 'stochastic parrots' metaphor, clarifying its original intent regarding large language models. Understand why this concept remains crucial for AI discourse.
Navigating the Evolving Landscape of Advanced AI Model Access and Developer Roles
Access to cutting-edge AI models like GPT-5.6 is becoming restricted, shifting the landscape for developers. Explore the implications of rising token costs and changing market dynamics on…
Artificial Intelligence Is Not Conscious
Ted Chiang argues that AI is not conscious, and treating language generation as consciousness misplaces responsibility and misunderstands how LLMs work.
Six Months of LLM Developments in Five Minutes
Discover the significant advancements in Large Language Models over the last six months, including improved coding agents and personal AI assistants
ChatGPT 5.5 Pro Demonstrates Advanced Mathematical Capabilities
ChatGPT 5.5 Pro showcases its ability to produce PhD-level research in mathematics, raising questions about the future of AI in research and problem-solving