working whenever there's a cloud outage or a GPT outage? Yeah, same. [laughter] Um, I think that's a reason why we've seen Anthropic and OpenAI go from being API businesses to investing so much into the application layer. Um, is because they know that that's where they can set these sorts of traps and build their moat for the day that these models inevitably become a commodity. But I don't actually think the strategy is going to work. Um, and that's the message I wanted to get across today. Uh, that this feels very shortsighted. And what we're noticing happen um in the world is that it doesn't matter how many features your CLI agent has, uh developers and businesses will just jump to whatever offers them the best value for their dollars. So if we look at current open weights models, many of which are are built in China, we'll notice that although they've lagged behind the American closed source competitors, we're at an inflection point where raw intelligence lead doesn't matter as much anymore. Um because these models are powerful enough where you don't always need the best one for all your work. And that cost is becoming extremely important to these businesses that have kind of turned a blind eye until now. And I think we all kind of feel it that to get the best output from these models, it's more a problem of what context and tools you give the agent access to and less about its raw intelligence. with the right AI native development infrastructure with project skills and rules um systems of verification and quality gates um even a mediocre model can produce similar results as a more intelligent model it just might take more tokens um the intelligence is better placed in the system and guard rails around the model so that you don't have to be as reliant on the model or your end developer's responsible use of the model itself.