Comment by measurablefunc
11 hours ago
It's surprising that AI coding agents have network effects but it's true. Think about it from first principles & you'll realize that the bottleneck is how many people are using it to write real code & providing both implicit (compiler errors, test failures, crash logs, etc) & direct ("did not properly follow instructions", "deleted main databases", "didn't properly use a tool", etc) feedback. No one is using xAI for serious software engineering so that leaves OpenAI, Anthropic, & Google w/ enough scale to benefit from network effects. No one has real AI but what they do have is the appearance of intelligence from crowdsourced feedback & filtering. This means companies that are already in the lead will continue to stay there & xAI started way too late so they will continue to lose in every domain that actually matters & benefits from network effects.
Is there really a network effect, though? What’s the moat?
If you are using an AI w/ 100 users who are writing throwaway software vs someone who is using AI w/ 1000 users who are writing software w/ formal specifications then guess which AI is going to win? The answer is plainly obvious to me but might not be to those who haven't thought about how current AIs actually work.