The unique thing about GitHub Copilot (and all the other vibe-coding tools) is that they’re speed-running the playbook because this shit is not profitable. It can’t be. Their costs scale up with usage, unlike every other business that can take advantage of economies of scale, so they’ve skipped the slow, steady enshittification phase and jumped directly into the “squeeze blood from this stone to keep the scam going a little longer” phase.
Plain inference is profitable actually, that’s why there are a hundred inference providers on OpenRouter who compete by undercutting each other. The labs however aren’t profitable because training the models is a huge drain.
But they can only do that because others are doing traning, no? There’s no point at which you can go “okay it’s all inference from here”, the model needs to be updated with new information/guardrails/context to continue being useful for most use cases
In a vacuum maybe but are they profitable if you add the infrastructure investments to the mix? What about model development? There was a shit ton of money that was spent. Covering the running costs is not enough. At some point someone has to pay for the investments.
The unique thing about GitHub Copilot (and all the other vibe-coding tools) is that they’re speed-running the playbook because this shit is not profitable. It can’t be. Their costs scale up with usage, unlike every other business that can take advantage of economies of scale, so they’ve skipped the slow, steady enshittification phase and jumped directly into the “squeeze blood from this stone to keep the scam going a little longer” phase.
Good sign that it may be over soon.
Plain inference is profitable actually, that’s why there are a hundred inference providers on OpenRouter who compete by undercutting each other. The labs however aren’t profitable because training the models is a huge drain.
But they can only do that because others are doing traning, no? There’s no point at which you can go “okay it’s all inference from here”, the model needs to be updated with new information/guardrails/context to continue being useful for most use cases
In a vacuum maybe but are they profitable if you add the infrastructure investments to the mix? What about model development? There was a shit ton of money that was spent. Covering the running costs is not enough. At some point someone has to pay for the investments.