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Startup Show: When the Computer Becomes the User
“When you're going through hell, keep going." This podcast is about failure and how it breeds success. Every week, we talk to remarkable people who have accomplished great things but have also faced failure along the way. By exploring their experiences, we can learn how to build, succeed, and stay humble. The podcast is hosted by author and former TechCrunch and New York Times journalist John Biggs.
He also hosts the Startup Show with Grit Daily, a podcast focused on brand new startups.
If you’d like to appear on Keep Going, email john@biggs.cc. If you’d like to pitch on the Startup Show, please email Spencer Hulse (Spencer@gritdaily.com).
Our theme music is by Policy, AKA Mark Buchwald. (https://freemusicarchive.org/music/policy/)
Startup Show: When the Computer Becomes the User
"Data is the fuel of any AI system."
Most of us don’t think twice about how we use computers. We move a mouse, type in a form, click a button. We’ve built up decades of patterns and habits, and the machines have evolved to meet us halfway. But what if the next evolution wasn’t a new interface—but the same one, just used by something that’s not us?
That’s what Ang Li is working on. He’s the co-founder and CEO of Simular, a company building what he calls “autonomous computers.” His idea isn’t about adding more APIs or building smoother backends. It’s about making software agents that interact with the machine exactly like we do—by moving a mouse, typing into boxes, and navigating the graphical interface.
Agents that act like us, but aren’t us.
The conversation stuck with me. Partly because of the tech, which is impressive—they’re outperforming OpenAI in UI automation benchmarks. But mostly because of the philosophical weight behind what he’s building. The name Simular says it all. This isn’t human intelligence. It’s something like it. Something that mimics, that reflects.
Ang comes out of DeepMind, where he split his time between AGI research and product engineering. That tension—between theory and practice—is exactly where Similar sits. They open source their tools. They build in public. They’re not trying to lock the future into a closed-loop platform. They’re trying to make it usable now, by anyone.
What stuck with me most was his answer to the problem of trust. Most AI startups talk about full automation—hand over your tasks, and the machine will handle it all. But Ang is honest: no one is giving their Gmail password to an agent. No one is giving it their credit card. So instead of pretending the agent can do it all, Similar is building a shared workspace. You and the machine work together. You do the sensitive stuff. It handles the rest.
There’s something oddly human about that.
Maybe AGI doesn’t come in a wave. Maybe it doesn’t look like a breakthrough. Maybe it looks like a computer that clicks and types, just like we do. And maybe that’s the future: a machine that isn’t better than us, just similar.
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