Many users report a significant decline in GPT-5's performance, citing increased hallucinations, slower responses, and a frustrating user experience. Explore the community's shared concerns and potential reasons behind these issues.
Explore the primary reasons local LLMs haven't achieved widespread use, from hardware limitations and cost to evolving cloud privacy solutions and superior hosted model performance. Discover where local models still find their niche.
Explore why AI coding agents often falter with basic front-end layout and CSS challenges, and discover how leveraging specific models and component-based frameworks can dramatically improve their UI generation capabilities. Learn practical tips for maximizing AI's effectiveness in your front-end projects.
Is ChatGPT getting worse or are your expectations changing? Explore how business models, monetization strategies, and the shift from utility to "experience" are impacting large language model quality for users, and discover insights into finding reliable AI.
Explore the growing trend of developers switching to CLI-based AI coding agents like Claude Code, examining the performance, workflow, and security benefits driving this shift. Discover why a command-line interface offers unique advantages over traditional IDE integrations for AI-assisted development.
Explore how developers are spending on AI coding tools, from free options to hundreds monthly. Discover popular services like Copilot, ChatGPT, Claude, and Cursor, and learn about agentic workflows, privacy concerns, and advanced AI capabilities.
Users report a significant decline in Perplexity AI's output quality, raising questions about the actual models being deployed despite claims of using advanced LLMs like GPT-5.
Discover why advanced AI models like ChatGPT can't easily count to a million, exploring the impact of tokenization and the difference between sophisticated pattern matching and true general intelligence.
Discover how people are using LLMs to solve tangible problems, from replacing cluttered search engines and overcoming developer burnout to achieving life-saving medical diagnoses and automating complex tasks.
An exploration into why Siri lags behind modern LLMs, focusing on the critical need for accuracy with personal data, Apple's privacy-first stance, and strategic business considerations.