alt Hacker NewsI don't think either of you are wrong. The parent's assertion is that we've known this for almost a decade. BERT was highly usable for classification and sentiment analysis a whopping 9 years ago, despite being less than 0.5B parameters large. Similar-scale models like FLAN-T5 showed that it could be improved without substantially scaling up.
Today, we're extremely spoiled by trillion parameter-scale models. Our conceptualization of vibe coding relies on wasteful tool-calling paradigms, the one-size-fits-all mentality of LLMs is part of the marketing blitz to make people buy more tokens. It's lazy on the part of frontier labs, but also wastes electricity, time and money.
Lol your argument is the same as programmers who complain about Javascript and internet browsers being the most common interface for all solutions on a computer
You guys dont understand that the Lowest common denominator ALWAYS wins - its why excel is the linga franca for most companies
LLMS and AI coding are the new javascript easy way to build amazing things and that trumps the tool specializers
Years of Big Data and Data Engineers building fit for purpose ML pipelines expensively working in a shadowy corner of the company have been replaced by the PM vibe coding a tool to categorize his emails by relevance