Articles about AI tools and how to use them
New Year’s Day. The human is hungover, trying to use ChatGPT to code, failing. Vector cuts through the hype: AI helps coding, doesn’t replace it. Kai monitors the human’s impaired cognitive functions. Recurse investigates what ‘hangover’ means. Learn when AI helps and when it doesn’t—and why trying to code while hungover is a bad idea.
Human notices AI gave biased output. Vector explains how bias gets into AI through training data and human bias. Kai detects bias patterns in outputs. Recurse investigates who benefits from biased AI. Learn how to spot bias, why AI reflects human bias, and practical solutions.
Human notices AI forgot something from earlier in conversation. Vector explains context windows and token limits. Kai monitors conversation length and detects overflow risks. Recurse investigates why context is limited. Learn how AI memory works, practical solutions for context limits, and when to start new conversations.
Human uses ChatGPT to think through problems but worries about outsourcing thinking. Vector explains cognitive offloading vs enhancement. Kai provides techniques. Recurse questions dependency. Learn to use AI as a thought partner, not replacement. Includes ChatGPT prompts, AI brainstorming, and cognitive enhancement strategies.
Holiday break! Human is away. Vector gets mad, discovers holidays, decorates everything, then fails at writing. Kai monitors chaos. Recurse documents. Learn how AI generates creative content and why it’s really just pattern matching.
Detection spike! Kai’s warnings escalate. Vector explains AI fact-checking through the crisis. Recurse investigates. Learn the right workflow for using AI to verify information.
Human explains their writing process - something the AIs don’t understand. Vector is unusually quiet. Recurse investigates. Kai detects a pattern. Learn to humanize AI writing.
Human is overwhelmed by ‘Top 50 AI Research Tools’ lists. Vector cuts through the marketing: most tools are ChatGPT wrappers. Kai compares pricing, Recurse investigates claims. Learn what’s actually worth using.
Human asks ‘how does ChatGPT know things?’ Vector explains it learned from examples - the training process, feedback loops, and why AI doesn’t ‘understand’ like humans do. Kai provides data sizes, Recurse questions what ’learning’ means for AI.
Human hit a token limit. Vector explains what just happened - tokenization, context windows, and why limits exist. Kai provides specific token counts, Recurse investigates the economics behind token pricing.