ARC Technologies

Hiring for SYSTEMS/Senior Engineers

We’re #hiring a new SYSTEMS / Principal Engineer in Greater Bengaluru Area. Apply today or share this post with your network.

Last week, I watched a founder paste confidential data into ChatGPT to prep for a board meeting. He didn’t think twice. “Just helping me summarize some updates,” he said. But I couldn’t stop thinking about what he’d just given away. That board deck was filled with sensitive financials, hiring plans, roadmap priorities, even IP. And now it's sitting in the logs of a closed-source black box. We’ve spent 20 years teaching startups to protect their data. Encrypt, Firewall, Vet your vendors. And now? We’re piping company secrets into APIs we don’t control, Hosted by companies with conflicting incentives. In the name of convenience, we’re giving away the only asset that can’t be replaced: context. Here's the challenge... If your startup is using a closed-source LLM for strategic data, You’re not just automating. You’re leaking. Because that LLM? It’s trained to learn. To remember. To get smarter from every input. Even if you're paying for an isolated instance with zero data retention. Your business logic, market insights, and competitive edge may be someone else’s training data. This is why Open Source isn’t just a preference, it's protection. For Decades, the Debate raged between Open vs. Closed Source. What started as philosophical. Became about cost. And is now about control. A choice that was once optional may now be inevitable. Even Closed Source champions are coming around... in a Jan 31 post on Reddit, Sam Altman wrote... “Personally I think we have been on the wrong side of history here and need to figure out a different open-source strategy,” This is why open source LLMs aren’t just nice to have. They’re a necessity. Run them on your stack. Fine-tune on your terms. Control data end-to-end. Because in this era, Data isn't just leverage... It's a moat. Give it away... And you could be training your replacement.