Industry Mentions

Seamless Communications Protocols (23:51-24:35): The discussion of seamless communication protocols is remarkably close to what FynCom is building. The speakers recognize that future AI systems will need robust communication frameworks that can handle trust, verification, and value transfer.

Transfer of Trust (24:30-25:05): This segment introduces the critical concept of "Transfer of Trust" between AI agents. As AI systems become more autonomous, they'll need mechanisms to establish and transfer trust - exactly what FynCom's refundable deposits enable in digital communications.

Agent Swarms and Trust Networks (21:46-22:46): The discussion of agent swarms reveals the complexity of maintaining trust in automated systems. When multiple AI agents interact, traditional security measures become insufficient, requiring economic incentives like those provided by FynCom's technology.

Stochastic Challenges: The speakers note that the stochastic approach of agents creates additional challenges for typical spam prevention techniques, highlighting the need for solutions insensitive to content analysis and pattern detection. A financial filter that uses zero-fee currency

The Identity Crisis of the Open Internet: Joe starts by asking Sam about Sam's role in online identity, leading to a discussion about a friend working on anti-fraud in Africa. This conversation reveals a fundamental truth: the open internet brought unprecedented connectivity, but at the cost of identity verification and trust.

The Trust Deficit: The discussion centers on how the lack of identity verification mechanisms has created a trust vacuum in digital communications. This is precisely the problem FynCom's refundable deposits technology addresses - creating economic incentives that restore trust between unknown parties.

Real-World Impact: The anti-fraud work in Africa mentioned in the conversation highlights how identity and trust issues aren't just theoretical - they have real economic and social consequences, particularly in developing markets where digital trust is crucial for economic participation.

AI as Daily Business Tool: Daneshgar discusses how he uses AI on a daily basis for business operations, and mentions how his sales teams leverage AI automation for their outreach and customer engagement processes.

The Personal Experience of Being Targeted: In an offhand but revealing comment, Daneshgar shares his personal experience of being on the receiving end of this same personalized automation technology. He's becoming increasingly jaded by the constant stream of AI-generated, personalized messages he receives.

The Irony of Automation: This creates a fascinating irony - the same CEO who uses AI to automate customer communications is himself growing tired of receiving automated communications, even when they're personalized. This validates the fundamental problem FynCom solves: when everyone uses AI for outreach, the value of communication itself degrades.

Scaling the Problem: Daneshgar's experience highlights how AI doesn't just enable better communication - it enables infinite communication, which paradoxically makes each individual message less valuable and more tiresome, regardless of personalization.

AI Voice and Email Impersonation: Katzenberg discusses sophisticated AI systems that can imitate tone of voice and writing style in emails, specifically targeting vulnerable populations like elderly individuals. This represents a new frontier in social engineering attacks.

The "Door" Analogy: Katzenberg emphasizes that "once attackers get through the door, it's over," making a compelling case for preventive measures. This perfectly illustrates why FynCom's approach of creating a financial barrier at the communication entry point is so crucial.

Delegation and Filtering: The discussion touches on delegation strategies where younger people handle unknown communications for elderly relatives. FynCom's financial filters provide a more systematic and scalable solution to this problem. Honestly, could you imagine having to handle your parents and grandprent's emails / texts / calls / socil DMs on top of your own? FynCom Filters are the solution.

Economic Defense: The conversation implicitly supports the idea that financial barriers are among the most effective defenses against automated attacks, as they make mass targeting economically unfeasible for attackers.

The Paradox of Hyperpersonalization: Sam Lesin discusses using AI for hyperpersonalized outbound sales, leading to the concept of "infinite spam" where customized messages become meaningless because nothing is truly custom anymore.

The Worthless Inbox: Lesin notes how this trend makes the inbox worthless - when every message appears personalized but is actually automated, recipients lose the ability to distinguish genuine communications from spam.

Platform Spread: What Lesin didn't get to mention is that this spam spreads beyond email to other platforms - social media, messaging apps, and any communication channel becomes vulnerable to the same hyperpersonalized automation.

FynCom's Solution: This scenario perfectly illustrates why economic barriers are necessary. When sending messages has a cost (even if refundable for legitimate communications), it becomes economically impossible to send "infinite spam" regardless of how personalized it appears.

The Scale Problem: Ezra Klein discusses how the fear of human hackers gets overwhelmed by digital hackers. The sheer scale at which AI can operate makes traditional human-scale security measures inadequate.

The Code Fallacy: Ben Buchanan believes AI can help stop other AI through code, but this falls into the same fallacy that technologists have relied on for decades - that pure code can stop hackers.

Beyond Technical Solutions: The reality requires accounting for social engineering and financial resources that can be gained through successful attacks. Technical solutions alone are insufficient when attackers can leverage human psychology and economic incentives.

Holistic Defense: This conversation supports FynCom's approach of combining technical filtering with economic incentives, addressing both the technical and human elements of digital security.

Unlocking Innovation: The discussion explores what people will invent with crypto and how it opens up previously unimaginable possibilities. This technological foundation enables new economic models like FynCom's refundable deposits.

Economic Equality Through Technology: The conversation touches on how crypto can bring economic equality and increase global economic prosperity by reducing barriers to financial participation.

Zero Marginal Cost Evolution: The key insight: "In a future where marginal cost of storing and moving value goes to zero..." This parallels how we previously saw the marginal cost of communications go to zero, which created the spam problem FynCom solves.

The Next Phase: Just as zero-cost communication enabled global connectivity but created trust problems, zero-cost value transfer enables new economic models but requires new trust mechanisms - exactly what FynCom provides.

The Predictions Come True: In January 2025, the Federal Trade Commission and LinkedIn reported that Americans lost $470 million to text scams in 2024, with job scam texts ranking as the second most common type of hoax. This validates every prediction made by the industry leaders featured above.

AI-Powered Scale: Just as Yudkowsky predicted, AI isn't necessarily better at phishing than humans—it's simply "cheaper at phishing" and can "phish everyone and see who's most vulnerable" at unprecedented scale. Job scammers are now using AI to send millions of personalized fake job offers for pennies.

The Infinite Spam Reality: Sam Lessin's concept of "infinite spam" has materialized exactly as described. AI enables unlimited personalized job scam texts that appear custom but are actually automated, making each victim feel specially targeted while the scammer blasts millions simultaneously.

Economic Desperation Exploitation: The combination of a rocky labor market and sophisticated AI targeting has created the perfect storm. Gen Z job seekers—despite being digital natives—are particularly vulnerable to these AI-generated, hyper-personalized scams.

The Solution Was Always Economic: Traditional security measures (content filtering, number blocking, user education) continue to fail because they don't address the root cause: zero marginal cost of communication. FynCom's refundable deposit approach makes mass scamming economically impossible—exactly what this crisis demands.

Read our detailed analysis: "Job Scam Texts Cost Americans $470M in 2024 - Here's the Economic Solution"