Mark Suman, co-founder and CEO of Maple AI, joined BMTV to discuss private artificial intelligence built so that even the company's own team cannot read users' chats. The full conversation is available on YouTube: https://www.youtube.com/watch?v=w6eeNCfT4yY

AI Is Woven Into Everyday Life, Including Payments

Suman said AI is weaving its way into every aspect of life, including financial transactions and scenarios in which AI agents pay each other. He added that he would not want those conversations read by a company whose source code users cannot inspect. That framing underlines the stakes of the interview: once agents are transacting on users' behalf, who can read their conversations becomes a practical question for everyday users rather than a purely theoretical debate about privacy.

Verify, Not Trust

Maple AI was built from the ground up with open-source code and encryption. Much like Bitcoin, Suman said he wants people not to trust the company, but to verify — a phrasing that echoes the well-known Bitcoin maxim "don't trust, verify" and the same transparency ethos behind open-source software. For readers new to the terminology, open-weight models are published so their weights can be inspected and run independently, in contrast to closed models that are available only through the provider's own service. All of a user's data, thoughts, and everything precious to them stays encrypted all the way throughout the pipeline, and users do not have to sacrifice security to use the best open-weight models, according to Suman.

More information about Maple AI, the private AI product built by Mark Suman, is available at The chapters below trace the arc of the conversation, from how Maple would respond to a warrant and what happens when advertising steers AI intelligence, to agents that approve their own budgets and paying for private AI with Bitcoin.

Interview Chapters

• 00:00 — Built So Even Its Own Team Can't Read Your Chats
• 00:37 — AI Is Weaving Its Way Into Every Aspect of Our Life
• 01:01 — We Want People to Not Trust Us, but to Verify
• 01:25 — Models That Let You Defend Yourself
• 02:55 — If a Warrant Landed at Maple
• 04:22 — When Ads Steer Your AI Intelligence
• 06:47 — User Data Is Already at Risk
• 07:51 — Agents That Approve Their Own Budget
• 08:39 — Hard Limits on What an Agent Can Do
• 09:29 — Paying for Private AI With Bitcoin
• 10:38 — What Will Push Everyday People Toward Private AI
• 11:13 — Convenience, Fear, and a No-Brainer

Disclaimer

The views and opinions expressed in this show are those of the participants and do not necessarily reflect the official policy or position of BTC Inc., Bitcoin Magazine, or any affiliated entities. This content is provided for informational and educational purposes only and should not be construed as investment, legal, tax, or accounting advice. Nothing contained in this show constitutes a solicitation, recommendation, endorsement, or offer to buy or sell any securities or financial instruments. Viewers should consult their own advisors before making financial or business decisions.

This article first appeared on Bitcoin Magazine and was written by Patrick Green. Original: https://bitcoinmagazine.com/videos/why-private-ai-is-more-important-than-ever