Blackbox AI’s Bet: Cheaper AI Without Giving Up Privacy

Robert and Richard Rizk co-founded Blackbox AI with their brother Roger, taking a coding search engine into enterprise AI infrastructure. The engineers are tackling a problem bigger than model intelligence: how to make AI affordable without giving up control of sensitive data. Their approach combines open-weight models, encrypted inference, and more efficient use of NVIDIA GPUs at scale.

In this episode with Derek Andersen, the brothers explain why the cheapest AI endpoint can carry risks beyond its price, how hosting changes the privacy equation for DeepSeek, and why open-weight models can coexist with OpenAI. They also break down the difference between zero data retention and encryption, and how generating more tokens from the same GPU could unlock wider AI adoption throughout the enterprise.

The conversation goes deeper than technology. Robert and Richard reveal how three brothers turn trust and disagreement into an advantage, why Navy SEAL discipline inspires their culture, and how they approach problems others avoid. Their lesson for founders: choose work worth doing, then tackle the hardest parts one step at a time.

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Episode Partners:

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Timestamps:

01:05 — AI Inference: Why More Tokens per GPU Matter
04:08 — Open vs. Closed AI: Why Businesses Want Both
09:54 — DeepSeek and Data Privacy: Where Your AI Runs Matters
18:43 — Encrypted AI vs. Zero Data Retention: What’s the Difference?
25:40 — NVIDIA GPUs: Lowering AI Costs Without Adding Hardware
31:06 — Why Smarter Models Still Need Better Infrastructure
38:01 — Three Brothers, One Company: The Blackbox Origin Story
43:14 — How Trust and Disagreement Help Founders Move Faster
47:00 — The Navy SEAL Mindset Behind Blackbox’s Culture
01:01:28 — Overcoming Hard Problems: One Decision at a Time

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#BlackboxAI #AIInference #AIPrivacy #NVIDIA #DeepSeek #OpenAI #AISecurity #OpenWeightModels #AIInfrastructure #StartupFounders #DivotPodcast