Grant Harvey
👤 SpeakerVoice Profile Active
This person's voice can be automatically recognized across podcast episodes using AI voice matching.
Appearances Over Time
Podcast Appearances
That's awesome.
Yeah, Spark looks neat.
Served it up, yeah.
You know how AI coding agents feel fast until you're stuck fixing their code and realize it would have been quicker to just do it yourself?
Warp changes that.
It's an agentic development environment, a new kind of tool that makes working with coding agents effortless.
Warp connects to your code base, understands your context, and uses the best models, from GPT-5 to CloudSonic 4.5, to generate production-ready code from the jump.
And when you do need to step in, Warp's built-in code review and editing tools make it seamless.
You can see diffs, reprompt, or make quick changes right alongside the agent.
No tool switching, no wasted time.
That's why over 700,000 engineers from companies like Netflix, Ramp, and Amazon are already using Warp to save hours each week.
So if you're ready to go from prompt to production faster, check it out at warp.dev.
That's really, really interesting.
And one of the things that's impressed me a lot is, like, I run 9B.
And...
you know, while, while yes, you know, there are some minor sacrifices, it's really not as much as you would think compared to a 600 trillion, 600 billion model, billion parameter model, excuse me, a 600 billion parameter model.
But it's, uh, it's, it's amazing to me that the difference isn't,
massive, at least in the tasks I'm doing with it specifically.
So how do you make sure that smaller and faster doesn't mean less accurate?
Is that that second phase of retraining you were talking about?