Half of today's AI best practices are coping mechanisms for temporary scarcity, not timeless engineering insights. Geoffrey Dhuyvetters traces the arc from SMS bundles to token limits, and argues the price curve only goes one direction.
AI has removed the junior work that used to build software engineers. Seven other industries faced the same disruption and didn't agree on an answer.
We smile at the 18th-century crowd for being swept up by a box with a man inside, yet today it's easy to hand ChatGPT a vague idea and treat the PRD it returns as gospel. Generative AI is genuinely powerful. We get the best from it when we bring both enthusiasm and a critical eye.
The race to AGI increasingly looks like brute-force scaling funded by a circular loop: chip makers invest in AI labs, AI labs buy their chips, valuations rise, repeat. Are we building intelligence or inflating a bubble?
What will the state of AI be like in a year's time? Here are Mike Veerman's predictions of what major things will happen next in AI
This is a follow-up article on Machine Learning, Part 2. Have you read the introduction to Machine Learning (Part 1) already? The next thing I
I’ve always been fascinated by science fiction and the advances of technology. And AI/ML has often represented a huge chunk of that because,
