The CBC recently reported on videos pretending to be from Canadians promoting similar anti-Canada messaging. They used AI generated copies of real Canadians and hired voice actors. They use this divisive content to drive views and ad revenue:
https://www.cbc.ca/news/canada/alberta-separatist-youtube-ch...
The overreach on access and then storage will be a meaningful issue we will have to reckon with more and more. Companies are acquired, companies die. What happens to your data in 5, 15, 50 years? It doesn’t just disappear.
Open models keep closing the eval gap for many tasks, and local inference continues to be increasingly viable. What's missing isn't technical capability, but productized convenience that makes the API path feel like the only realistic option.
Frontier labs are incentivized to keep it that way, and they're investing billions to make AI = API the default. But that's a business model, not a technical inevitability.
Absolutely. Pricing exposure is the quiet story under all the waves of AI hype. Build for convenience → subsidise for dependence → meter for margin is a well-worn playbook, and AI-dependent companies are about to find out what phase three feels like.
Hyperscalers are spending a fortune so we think AI = API, but renting intelligence is a business model, not a technical inevitability.
A fresh PWA to log / improve your coffee brewing process. We use it to see what we are all drinking, find new coffees, explore new cafes, and understand what we like / don’t like.
It’s primarily used by our group of friends, so if you see a rough edge somewhere please reach out!