Artificial intelligence - Topics

Why agents forget what you told them an hour ago Weak AI vs strong AI: what the difference means for research Prompt engineer: a real trade or a title about to vanish Which parts of knowledge work is generative AI actually good at? Prompt Hub and template reuse across a team of five Who is charged when a driverless car kills a pedestrian at night Pointing LangChain at a local model through Ollama Would a superintelligence bother with us at all AI trainers writing the instructions that teach a model to refuse politely Red teaming a model before release: what counts as a pass AI research internships: what actually gets you in Why a jailbreak prompt still works after three rounds of safety training Replika vs Character.AI for daily companionship Why AI tools still need someone to check every third output Hallucination is baked into next-token prediction A reading order for someone starting from zero in AI What is overfitting and how do you catch it before the final test set? Model drift: how do you know when a deployed model has quietly gone stale? Negative instructions and why models ignore them Prompt patterns that survive model updates Common sense knowledge bases: Cyc and ConceptNet after decades of work The EU AI Act explained for people who aren't lawyers AI image tools for small shop product photos: worth the subscription? Expert systems: MYCIN and the knowledge acquisition bottleneck OpenAI's rivalry with open-weight labs Can a machine be conscious? Why every test is only a proxy What does informed consent mean when the model reading your scan was never explained? How do you explain a model's decision to someone who does not trust it? Supervised vs unsupervised learning: which should a beginner start with? MLOps tooling sprawl: many dashboards and no single source of truth What an LLM context window really limits Why does every AI meeting notetaker transcribe fine but summarize wrong