Yes, I'm sure by then there will be better models on offer via cloud providers, but idk if I'll even care. I'm not doing science / research or complex mathematical proofs, I just want a model good enough to vibe code personal projects for fun. So I think at that point I'll stop being a OpenAI / Anthropic customer.
Someone needs to be held accountable when things go wrong. Someone needs to be able to explain to the CEO why this or that is impossible.
If you want to have AI generate all the code for your business critical software, fine, but you better make sure you understand it well. Sometimes the fastest path to deep understanding is just coding things out yourself - so be it.
This is why the truly critical software doesn’t get developed much faster when AI tools are introduced. The bottleneck isn’t how fast the code can be created, it’s how fast humans can construct their understanding before they put their careers on the line by deploying it.
Ofc… this doesn’t apply to prototypes, hackathons, POCs, etc. for those “low stakes” projects, vibe code away, if you wish.
Even in a world where the software is 100% written by AI in 1 millisecond by a country of geniuses in a data center, humans still need to have their hands firmly on the wheel if they won’t want to risk their businesses well being. That means taking the time to understand what the AI put together. That will be the bottleneck regardless of how fast and smart AI is. Because unless the CEO wants to be held accountable for what the AI builds and deploys, humans will need to be there to take the responsibility for its output.
Level 12: agent superintelligence - single entity doing everything
Level 13: agent superagent, agenting agency agentically, in a loop, recursively, mega agent, agentic agent agent agency super AGI agent
Level 14: A G E N T