I ve been thinking about this over the past few weeks, especially as larger tech corporations that weren t originally built around AI (Oracle, Meta, ClickUp, etc.) have started mass layoffs in favour of more efficient AI-driven solutions.
From that, it seems like AI companies must be doing extremely well and are actively trying to protect their positions. This also suggests that to strengthen their position (besides AI itself), they still need human capital to help them grow.
In a discussion forum with @monatruong_murror , we talked about how AI can help us learn things that aren t naturally familiar to us, like programming.
The biggest challenge was/is: Getting AI to guide you toward a solution, instead of just giving you the answer.
Google unveiled a chatbot called Bard compete with ChatGPT. Looks quite similar in terms of the conversational functionality. https://blog.google/technology/a... Thoughts?
I keep seeing the same pattern across early-stage teams:
the MVP works until it really doesn t.
For many founders, the hardest part isn t getting something online it s everything that comes after: infra that cracks under real users code that no dev wants to touch rewriting the whole stack AI-built projects no one can maintain the moment you realize your prototype isn t a product
