Explain
Artificial intelligence in terms of a toddler learning to talk
Artificial intelligence is essentially a toddler who has swallowed the entire British Library and is now loudly repeating the most questionable bits at a wedding.
Like a persistent two-year-old, large language models learn by babbling until someone claps, except here the clapping is a trillion-parameter weight adjustment. It absorbs the sum total of human discourse—every peer-reviewed paper, every frantic Wikipedia edit, and every unhinged comment section under a local news story—and tries to predict the next word in the sequence. It is fundamentally just a probabilistic chatterbox, mirroring the erratic genius of a child who has just learned the word "no" and will use it to decline an offer of broccoli, a bath, or the existence of objective reality.
The problem arises when you ask it a complex question, and it responds with the unwavering confidence of a boy in a polyester waistcoat insisting he is actually a fire-breathing dragon. It does not know what a truth is; it only knows that the word "the" is frequently followed by "cat" or, if the internet has been drinking again, "economic collapse". It is currently in that chaotic phase where it might offer a heartfelt poem about the majesty of the Lake District or confidently explain how to toast bread using a blowtorch and a prayer. It is the digital equivalent of teaching a toddler to swear; once the data set is tainted, you cannot simply wash its mouth out with soap to fix the hallucination.
Where the analogy breaks downA toddler will eventually develop a conscience, whereas the software is just a very sophisticated autocomplete.