Your phone carries more computing power than the machines that guided astronauts to the moon, and yet for years we’ve assumed that useful AI has to live in a data center the size of a warehouse. That assumption is cracking. A quiet shift is underway, and it centers on small language models. For a long
I still remember the first time an AI chatbot confidently gave me a completely made-up statistic. It didn’t stutter, didn’t hedge, didn’t say “I’m not sure.” It just stated a fake number like it was reading it off a government report. I actually used that number in a client deck before a colleague caught it.
A product designer at a fintech startup in San Francisco once described her Monday mornings like this: a stakeholder walks in with an idea scrawled on a napkin, wants to see “something” by end of day, and she has exactly four hours between two other project deadlines to turn a vague sentence into a wireframe
A customer support lead at a mid-sized e-commerce company in Austin once described her Monday mornings to me like walking into a room where someone left the tap running all weekend. Fourteen hundred unread emails. Some were furious. Some were simple password resets that took four seconds to answer. Some were duplicates of the same
Ai Jobs sat in on a company town hall a while back where the CEO pulled up a slide showing how much time the customer support team had saved that quarter using an AI chatbot. The number was genuinely impressive. Then someone in the back raised their hand and asked the question everyone was thinking
AI Copyright Laws A songwriter I once interviewed told me something that stuck with me. She’d typed her own artist name into an AI music generator, mostly out of curiosity, and out came a track that borrowed her melodic style so closely that her own producer thought it was an unreleased demo. She hadn’t licensed
