AI Is Coming for Your Memes, Axios NPM Package Compromised, Claude Code Source Code Leak | Alex Pruden, Qasar Younis, Sebastian Mallaby, Forrest Heath, Dino Mavrookas, Will Ahmed, Jannick Malling, Ryan Daniels, Chris Yu
AI Is Coming for Your Memes, Axios NPM Package Compromised, Claude Code Source Code Leak | Alex Pruden, Qasar Younis, Sebastian Mallaby, Forrest Heath, Dino Mavrookas, Will Ahmed, Jannick Malling, Ryan Daniels, Chris Yu
Podcast3 hr 8 min
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Note: AI-generated summary based on third-party content. Not financial advice. Read more.
Quick Insights

Investors should prioritize Google (GOOGL) as it accelerates AI product velocity through DeepMind and leads the critical 2029 transition to post-quantum security. Monitor Bitcoin (BTC) and Ethereum (ETH) for "hard fork" upgrades to post-quantum cryptography, as solving this "quantum discount" could trigger a significant price re-rating. In the private markets or via specialized ETFs, look for exposure to "Physical AI" through companies like Applied Intuition, which solves labor shortages in mining and agriculture. The rise of AI-generated code increases the risk of supply chain hacks, making automated cybersecurity firms like CrowdStrike (CRWD) essential long-term holdings. Finally, consider the "longevity" trend by following Whoop’s expansion into medical-grade health monitoring and Public.com’s new autonomous AI agents for retail yield optimization.

Detailed Analysis

Google (GOOGL)

• Researchers released a paper warning that quantum computing could break elliptic curve cryptography (ECC)—the math securing Bitcoin and Ethereum—sooner than expected. • Google estimates a 20-fold reduction in the quantum hardware needed to crack these codes. • The company has set a 2029 deadline to migrate its own internal security systems to post-quantum cryptography (PQC). • DeepMind (Google's AI lab) reportedly ran a secretive internal hedge fund aiming to beat Renaissance Technologies (Jim Simons) using high-frequency trading AI, but it was eventually disbanded due to corporate wariness.

Takeaways

Quantum Risk: While not an imminent threat today, the 2029 timeline suggests a "ticking clock" for blockchain developers to upgrade security protocols. • Institutional Strength: Google’s integration of DeepMind and Google Brain into "Google DeepMind" under Demis Hassabis has accelerated their AI product velocity (e.g., Gemini), making them a formidable competitor to OpenAI.


Bitcoin (BTC) & Cryptocurrencies

• The "Crypto Quantum Crash" theme was discussed following the Google research paper. • Shor’s Algorithm could potentially crack Bitcoin wallets with as few as 10,000 reconfigurable atomic qubits (or 500,000 physical qubits). • Satoshi’s original wallets (containing billions in BTC) are considered "buried treasure" for whoever develops a functional quantum computer first.

Takeaways

Quantum Discount: Analysts suggest Bitcoin might be trading at a "quantum discount"; if the threat were proven to be solved, the price could significantly re-rate higher. • Migration Necessity: Investors should watch for "hard forks" or upgrades in major protocols (BTC, ETH) toward Post-Quantum Cryptography (PQC). • Opportunity: Newer "Quantum-Proof" coins may emerge as a marketing narrative to capture market share from older, more vulnerable chains.


Applied Intuition

• Currently valued at $15 billion, the company focuses on "Physical AI"—taking AI out of screens and putting it into machines like tractors, trucks, and mining equipment. • Announced a partnership with LG Innotek to develop cheaper, high-scale sensors for autonomous driving. • The company claims to have preserved almost all the capital it has ever raised (nearly $1 billion), operating with "radical pragmatism."

Takeaways

Labor Shortage Play: Physical AI is seen as a solution to massive labor shortages in "unsexy" industries like mining, construction, and agriculture. • Horizontal Advantage: Unlike Waymo (focused only on robotaxis), Applied Intuition spreads its R&D costs across multiple verticals (defense, ag, trucking), creating a more diversified business model.


Whoop

• Announced a $575 million Series G funding round at a $1.1 billion bookings run rate. • New investors include LeBron James, Cristiano Ronaldo, and major institutions like The Mayo Clinic and Abbott. • Shifting from a sports-performance wearable to a broad "longevity" and medical-grade health platform (detecting AFib, blood pressure, and blood testing).

Takeaways

Longevity Trend: The "Healthspan" and biological age tracking features are driving massive user engagement, tapping into the growing consumer obsession with anti-aging. • Medical Integration: Partnerships with Mayo Clinic and Abbott suggest Whoop is moving toward becoming a regulated medical tool, which increases its "stickiness" compared to basic fitness trackers.


Public.com

• Launched AI Agents for Investing, allowing users to set up autonomous agents that monitor markets and execute trades based on natural language instructions. • Examples include agents that "yield max" by sweeping excess cash into bonds or selling covered calls automatically.

Takeaways

Agentic Brokerage: The industry is moving from "discount brokers" to "agentic brokers" where the AI acts as a 24/7 quant and financial advisor for retail investors. • Market Volatility: As retail investors gain access to automated, high-speed execution tools, market reactions to news (like CPI prints) may become even faster and more volatile.


Investment Themes & Sectors

1. Cybersecurity & Supply Chain Attacks

• A major malware attack was identified in the Axios NPM package (a tool used by millions of apps to talk to the internet). • Insight: As "Vibe Coding" (AI-generated code) becomes popular, the frequency of supply chain hacks will likely increase. This is highly bullish for automated cybersecurity firms like CrowdStrike and Socket.

2. Micro-Mobility (ALSO)

ALSO, a spin-out from Rivian (RIVN), is focusing on small-form-factor electric vehicles (e-bikes, quads). • Partnered with DoorDash to explore autonomous delivery using small vehicles. • Insight: The "last mile" of delivery and short urban trips are the next frontier for electrification, as full-sized cars are often inefficient for these tasks.

3. Defense Tech (Saronic)

Saronic raised $1.75 billion to build autonomous surface vessels (ASVs) for the Navy. • Insight: There is a massive shift toward "attritable" (expendable) autonomous fleets in the military to reduce human risk and increase scale, benefiting companies that can manufacture at World War II-level volumes.

4. Infrastructure (Somos)

Somos raised $40 million to build fiber-to-the-home infrastructure in Latin America. • Insight: Emerging markets are "leapfrogging" old cable infrastructure. High-speed, low-cost internet is a foundational requirement for the AI economy to reach global populations.

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Episode Description
Sign up for TBPN’s daily newsletter at TBPN.com (01:47) - AI Is Coming for Your Memes (11:42) - Axios NPM Package Compromised (23:17) - Claude Code Source Code Leak (34:36) - Google: Quantum Threat to Crypto is Real (42:16) - Timeline Reactions (57:57) - Alex Pruden, a former Army Green Beret and Stanford graduate, is the CEO and co-founder of Project Eleven, a company dedicated to securing digital assets against emerging quantum computing threats. He discusses the urgency of addressing vulnerabilities in blockchain cryptography, emphasizing that recent advancements in quantum computing have significantly lowered the threshold for potential attacks on systems like Bitcoin. Pruden highlights the need for proactive measures to transition to quantum-resistant cryptographic standards to safeguard the future of decentralized networks. (01:16:37) - Qasar Younis, CEO of Applied Intuition, discusses the company's $15 billion valuation and its mission to integrate AI into physical machines across various industries. He highlights a recent partnership with LG Innotek to develop cost-effective self-driving technologies, emphasizing the shift from research to engineering in autonomous systems. Younis also notes the importance of shared learning across sectors like mining and trucking to enhance AI models, and underscores the company's capital efficiency and strategic approach to scaling AI solutions in the physical world. (01:31:51) - Sebastian Mallaby, an English journalist and author, is the Paul A. Volcker senior fellow for international economics at the Council on Foreign Relations. In his conversation, he discusses his latest book, "The Infinity Machine," which explores the life of Demis Hassabis and the development of artificial intelligence at DeepMind. Mallaby shares insights into his research process, including extensive interviews with Hassabis, and reflects on the rapid advancements in AI and their broader implications. (02:02:30) - Forrest Heath, founder of Somos, discusses his journey from dropping out of high school and moving to Medellín, Colombia, to building a company that provides high-speed, low-cost internet infrastructure in Latin America. He explains how Somos constructs its own infrastructure, including nationwide backbones and custom Wi-Fi routers, to deliver gigabit connections at affordable prices. Heath also highlights the potential for Latin America to leapfrog traditional telecom systems, positioning the region at the forefront of internet infrastructure development. (02:12:46) - Dino Mavrookas, co-founder and CEO of Saronic Technologies, discusses the company's recent $1.75 billion financing round, emphasizing plans to accelerate production and delivery of autonomous surface vessels to the U.S. and its allies. He highlights the development of the 180-foot unmanned ship, Marauder, and the Corsair platform, with production already in the thousands. Mavrookas also outlines intentions to invest billions in new shipyards, aiming to revitalize the U.S. shipbuilding industry and create thousands of jobs. (02:20:29) - Will Ahmed, founder and CEO of WHOOP, discusses the company's recent $575 million Series G financing round, highlighting the addition of investors like LeBron James and Cristiano Ronaldo. He emphasizes WHOOP's expansion into 60 markets, its evolution into a comprehensive health platform with medical-grade technology, and plans to enhance brand awareness through increased marketing efforts. Ahmed also outlines the company's commitment to advancing product accuracy and functionality, aiming to make the device smaller and smarter while integrating more health monitoring capabilities. (02:31:49) - Jannick Malling, co-founder and co-CEO of Public.com, discusses the launch of AI Agents for investing, a feature that allows users to automate portfolio strategies directly within the Public app. These AI Agents can monitor markets, move funds, and execute trades based on user-defined instructions, enhancing the investing experience by shifting from manual order entries to intent-based automation. (02:43:21) - Ryan Daniels, founder of Crosby, a law firm integrating advanced AI technologies, discusses the firm's recent $60 million Series B funding and achieving over $1 billion in client contracts. He highlights the firm's strategy of employing AI agents to handle entire legal tasks end-to-end, emphasizing the importance of combining technological advancements with human expertise to enhance legal services. Daniels also addresses the evolving role of lawyers in the age of AI, underscoring the need for legal professionals to focus on client interactions and effectively collaborate with engineers to develop better legal technologies. (02:52:31) - Chris Yu, co-founder and president of Also, discusses the company's mission to electrify small form-factor vehicles, such as e-bikes and pedal quads, by applying the Rivian or Tesla playbook to these smaller modes of transportation. He highlights partnerships with Amazon and DoorDash to deploy these vehicles, emphasizing their suitability for dense urban environments and the potential for autonomy. Yu also elaborates on the collaborative relationship with Rivian, sharing technical architectures and commodities like battery cells, while adopting a contract manufacturing model for assembly to accommodate the unique needs of smaller-scale products. 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