Last year, I made a bet that changed how I think about model merging: the secret weapon for creating hyper-specialized. Here's what happened.
Why train a model from scratch when you can merge the best of what's already out there? I'll walk you through the art and science of model merging, a powerful technique for creating highly specialized models with a fraction of the effort.
The Reality Nobody Talks About
Most people approach model merging: the secret weapon for creating hyper-specialized with assumptions that made sense five years ago. The world has moved on. When I look at my portfolio companies, the ones that succeed are doing something fundamentally different.
The first thing to understand is that you should focus on one thing and do it exceptionally well. I've seen this play out across dozens of companies. The pattern is unmistakable.
At RemoteTeam, we learned this the hard way. We spent months going down the wrong path before realizing that your team matters more than your technology. Once we made the switch, everything changed.
The Framework That Actually Works
I'm going to share the exact framework I use when evaluating model merging: the secret weapon for creating hyper-specialized. It's not complicated, but it requires discipline.
Step 1: you need to move fast and break things This is where most people go wrong. They skip this step entirely and jump straight to execution. Don't do that.
Step 2: the best solutions are often the simplest ones Once you have the foundation right, this becomes much easier. I've watched founders struggle with this for months when the answer was staring them in the face.
Step 3: Iterate relentlessly Nothing works perfectly the first time. The companies in my portfolio that nail model merging: the secret weapon for creating hyper-specialized are the ones that treat it as an ongoing process, not a one-time project.
What I've Learned From 101 Companies
After investing in 200+ startups and running two companies to successful exits, I've developed a pretty clear picture of what works with model merging: the secret weapon for creating hyper-specialized.
The biggest misconception is that you need to you need to move fast and break things. That's backwards. The companies that win are the ones that your team matters more than your technology.
I remember sitting with the Anthropic team early on and discussing how they thought about model merging: the secret weapon for creating hyper-specialized. Their approach was counterintuitive but brilliant.
What I Tell Founders
When a founder in my portfolio asks me about model merging: the secret weapon for creating hyper-specialized, I usually start with three questions:
- What's your timeline? Because the right approach for a company with 6 months of runway is very different from one with 3 years.
- What have you already tried? Most founders have tried something. Understanding what didn't work is often more valuable than knowing what might.
- Who on your team owns this? If the answer is "everyone" or "no one," that's your first problem to solve.
These questions seem simple but they reveal a lot about where a company actually stands.
This connects to broader themes around DPO, model merging, small language models that I've been thinking about a lot lately.
Wrapping Up
I've shared a lot here, and I know it can feel overwhelming. But here's the thing about model merging: the secret weapon for creating hyper-specialized: you don't need to get everything right on day one. You just need to get started and keep improving.
The founders in my portfolio who excel at model merging: the secret weapon for creating hyper-specialized share one trait: they're relentlessly practical. They don't chase perfection. They chase progress.
That's the mindset I'd encourage you to adopt. Start where you are. Use what you have. Do what you can. And keep pushing forward.
As always, I'm rooting for you.
Frequently Asked Questions
How can I apply this thinking to my own situation?
Start by identifying the core principle behind the opinion, not the specific example. Then ask yourself: does this principle apply to my context? If yes, test it in a small, low-risk way before going all in.
Do all experts agree with this view?
No, and that's fine. The best ideas in business are often contrarian. I share my perspective based on my experience and data, but I encourage you to seek out opposing viewpoints and form your own conclusions.
What's the most common pushback you get on this?
People often push back by citing exceptions or edge cases. And they're usually right that exceptions exist. But building a strategy around exceptions rather than patterns is a losing game for most founders.