SpaceX And… The Louvre? | The Brainstorm EP 106

Key Concepts

• SpaceX Starship: Reusable spacecraft designed for interplanetary travel, with a focus on robustness and simplified design.
• Booster Reuse: SpaceX's successful implementation of reusing rocket boosters, significantly reducing launch costs.
• Starlink: SpaceX's satellite internet constellation, providing global internet access and enabling real-time data transmission from rockets.
• Heat Shield Reusability: A key challenge for Starship, involving the ability of heat tiles to withstand atmospheric reentry and be reused.
• Long-Read Sequencing: A DNA sequencing technology that reads longer DNA fragments, enabling the detection of structural variations.
• Short-Read Sequencing: The dominant DNA sequencing technology, which reads shorter DNA fragments and is cost-effective for base pair calling.
• Prediction Markets: Platforms where users can bet on the outcome of future events, providing a mechanism for generating common knowledge and efficient pricing.
• Total Addressable Market (TAM): The total market demand for a product or service.
• Open Interest: The total number of outstanding derivative contracts that have not been settled.
• Formula 1 (F1) Broadcast Rights: The increasing value of media rights for Formula 1 racing, with Apple acquiring significant rights.
• F1 Driver Championship: The competition for the Formula 1 World Championship, with key contenders and their odds.

SpaceX and Reusability

Starship Test Flight Success and Design Philosophy

The recent Starship test flight was described as "incredibly successful," marking a significant step in SpaceX's development of reusable spacecraft. The key takeaway is SpaceX's iterative approach, starting with seemingly impossible goals and gradually making them routine. The ability to launch the top of the rocket halfway around the world, have its fins partially burn through, and still land precisely next to a buoy demonstrates a design philosophy focused on robustness and simplification.

Elon Musk's "magic formula" of taking out and simplifying processes, removing unnecessary parts ("the best part is no part"), is contrasted with the complex, interconnected systems of the Space Shuttle. While the Space Shuttle had a theoretical low failure rate, its practical failure rate was much higher due to its complexity. Starship, by focusing on essential systems, appears to be building a more resilient launch vehicle capable of withstanding atmospheric forces.

Starlink's Underrated Role

A notable aspect of the Starship test flights is the high-quality video transmission, largely attributed to Starlink. This satellite internet constellation provides a more reliable connection than traditional satellite TV, even in challenging conditions. Crucially, Starlink enables real-time data collection from the rocket during its flight, including telemetry and optical data. This data is invaluable for understanding the performance of components like heat tiles, especially when sensors cannot be placed on every single tile. The multiple buoys and drones filming the descent are not just for aesthetic appeal but are essential for gathering this critical information.

Remaining Obstacles for Starship

Despite the progress, significant obstacles remain for Starship to achieve its ultimate goal of reaching Mars. Key near-term operational elements to be tested include:

• Reusability of the heat shield: This is considered a "thorny and nasty" engineering challenge due to the extreme heat stress on the tiles. The ability to reuse heat tiles quickly and cost-effectively is crucial.
• In-orbit refueling: This capability is essential for enabling longer-duration missions and reaching destinations like Mars.

While the complete reusability of the heat shield is a significant hurdle, even if not fully achieved, Starship is still well-positioned for low Earth orbit operations and potentially Mars missions. The dramatic reduction in cost to orbit per kilogram and the increased volume capacity offered by Starship fundamentally change what is possible in space exploration and satellite deployment.

Heat Shield Reusability: Cost vs. Engineering

The discussion around heat shield reusability touches upon whether it's more cost-effective to replace the heat shield or to engineer it for full reusability. While the cost of heat shields is significant, the primary challenge is the engineering complexity of making them reusable. The process of individually gluing tiles onto the rocket is time-consuming and contributes to the overall manufacturing time. The possibility of a "gluerbot" or a system for easily swapping out individual tiles is raised as a potential solution. The robustness demonstrated in the recent test, where the vehicle succeeded even with stripped tiles, suggests that increased robustness could lead to more rapid reusability, even if it means flying a semi-damaged shield again.

Sequencing: Long-Read vs. Short-Read Technologies

The Dominance of Short-Read Sequencing

The current dominant technology in gene sequencing is Illumina's short-read sequencing. This method involves chopping DNA into small fragments (around 150 base pairs), amplifying them, and then sequencing these fragments. The entire genome is then reconstructed by overlapping these short "puzzle pieces" using sophisticated algorithms. This technology is cost-effective for identifying individual base pairs and small variations.

Limitations of Short-Read Sequencing

The primary limitation of short-read sequencing is its inability to accurately resolve complex genomic structures like inversions or repetitive sequences. When DNA is chopped into small fragments, it becomes difficult to determine the original order and orientation of these longer, repeating segments.

The Promise of Long-Read Sequencing

PacBio offers long-read sequencing, which sequences much longer DNA chains. This allows for the identification of structural variations and repeat errors, which are implicated in many diseases that are currently poorly understood due to the difficulty and expense of measuring them.

Cost Reduction and Market Dynamics

PacBio is reducing its prices to $300 per genome for long-read sequencing, while Illumina's cutting-edge short-read sequencing is around $200 per genome. This is a dramatic reduction from the $2 billion cost in the early 2000s. While long-read sequencing is valuable for research, particularly in identifying diseases related to structural variations, its adoption in clinical medicine faces challenges.

The "Richer Data Set" Challenge

The biology field tends to align around established tools that generate useful information, leading to the development of drugs and treatments based on that data. Shifting to a "richer data set" from long-read sequencing requires a significant industry recalibration. Illumina's short-read technology is particularly well-suited for analyzing DNA fragments found in blood, which is the basis for modern cancer testing. This makes short-read sequencing highly relevant for the growing diagnostic industry.

Future of Sequencing Markets

While short-read sequencing is expected to remain dominant for some time, the ultimate goal is to leverage the comprehensive information provided by long-read sequencing to better understand biology. The crossover point where long-read sequencing becomes the standard is difficult to predict. Illumina's attempt to acquire PacBio, which was blocked by the FTC, indicates that Illumina recognized the future potential of long-read technology. The path forward is contingent on the monetization of health data and the complex interplay of various industry players.

Prediction Markets: Growth and Future Potential

Record Weekly Volume

Prediction markets have reached a significant milestone, with weekly notional volume exceeding $2 billion for the first time. This indicates a rapidly growing market that shows no signs of slowing down.

Market Share Dynamics: Koshi vs. Polymarket

There has been a shift in market share between Koshi and Polymarket. Initially, Koshi held a dominant position (around 70%), but recent activity has swung the market towards a more even split (50/50). This dynamic is attributed to Koshi's international launch and Polymarket's expansion into the US market, creating a "turf war."

TAM and Future Growth

The Total Addressable Market (TAM) for prediction markets is being actively explored. It is anticipated that prediction markets will experience significant growth, potentially 10x or more, particularly around election cycles. The primary opportunity is seen in capturing volume from traditional financial markets, specifically by offering event-driven contracts that can hedge risks currently managed through second-order derivative products like options and futures.

Disruption of Traditional Financial Instruments

The major disruption is expected to come from the financial market, where event-driven contracts will replace traditional instruments. While culturally interesting, the volume from questions like "What will the President say in his next speech?" may not constitute the majority of long-term volume unless AI agents are heavily involved.

Open Interest vs. Volume

While volume is a readily measurable metric, open interest is considered a more accurate indicator of the economic importance of prediction markets. High open interest signifies that significant capital is at risk, which is crucial for attracting large market actors.

Application to Equities and Event-Driven Contracts

Prediction markets have the potential to become profoundly financially useful for sizable market actors. For example, in the context of Tesla, prediction markets could allow investors to cleanly bet on specific future events like the success of robo-taxis, hedging against risks associated with core EV business metrics. This would lead to more efficient pricing of longer-term events and a better understanding of the value embedded in stock prices.

Common Knowledge Generation

Prediction markets act as powerful common knowledge generators. Common knowledge is information that is mutually known and understood, creating a shared basis for decision-making. In the case of Tesla's robo-taxi business, some actors strategically deny common knowledge about its potential to avoid acknowledging its significant value creation. The absence of a specific market for this segment allows for this denial.

Efficient Pricing of Long-Term Events

The existence of liquid prediction markets for specific business segments would lead to more efficient pricing of longer-term events. Equities would more accurately discount the future, as investors could extract and price specific long-term option exposures that are currently unpriced due to a focus on short-term earnings. This would essentially create a "set of prediction markets wrapped around equities."

The Ledger: F1 Driver Championship Prediction

Apple's Investment in F1 Broadcast Rights

Apple has significantly increased its investment in Formula 1, paying $140 million per year for broadcast rights over the next five years, nearly doubling ESPN's previous $85 million per year deal in the US.

F1 Driver Championship Odds

The discussion turns to predicting the F1 Driver Champion. The current odds presented are:

• Oscar Piastri: 38%
• Max Verstappen: 34%
• Lando Norris: 28%

Predictions and Rationale

• Verstappen (Sam): Chosen due to his consistent dominance and the belief that he is a standard deviation better than other drivers.
• Norris (Brett): Chosen based on the belief that McLaren has an incentive to support a British driver, Norris's current points advantage, and the assumption that Piastri might face internal team challenges.
• Verstappen (Nick): Chosen as a "redemption bet" after previously calling Verstappen's breakout season but not investing in his memorabilia.

Verstappen's Dominance and Risk Factors

Verstappen's exceptional performance is highlighted, noting that he often finishes significantly ahead of his teammate, even when driving the same car. However, the risk of a single incident (e.g., a targeted crash by another driver) is acknowledged as a potential threat to his championship aspirations. The perception that other teams may not favor McLaren also plays a role in the strategic considerations.