Llms

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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.

An analysis of whether startups can be successfully built using AI 'vibe coding'. We explore the current limitations at scale, practical workflows for developers, and the rise of AI-generated 'slop apps' tied to course-selling.

Discover the best strategies for finding free AI coding assistants. Learn about the trade-offs between cloud services with limited free tiers and the powerful, cost-effective alternative of running models locally.

Discover which AI models developers are actually using for coding assistance. Learn the specific strengths of tools like DeepSeek, Claude, Gemini, and QWEN Coder for tasks from prototyping to bug fixing.

The term 'vibe coding' has emerged to describe AI-assisted programming, but what does it really mean? Explore the debate between relying on AI intuition and using structured, specification-driven approaches for maximum productivity.

An exploration of AI-powered video summarization reveals that while the user need is strong, the idea is already being implemented by YouTube itself and through existing tools. Learn about the challenges, DIY methods, and the more viable strategy of niche content curation.

Explore the core reasons for skepticism surrounding Large Language Models, moving beyond simplistic explanations to address technical limitations, ethical concerns, and the gap between hype and practical reality.

Explore why modern AI like LLMs aren't used for game opponents, delving into the critical difference between a 'smart' AI and a 'fun' one, and the technical hurdles that prioritize classic game AI.

The term 'Artificial Intelligence' is often too vague. Explore the argument for using more specific language, like LLMs or machine learning, to foster clarity and manage expectations.