One post tagged with "space technology"

The Blockchain Application Stanford Summit (BASS) kicked off the week of the Science of Blockchain Conference (SBC), bringing together innovators, researchers, and builders to explore the cutting edge of the ecosystem. Organizers Gil, Kung, and Stephen welcomed attendees, highlighting the event's focus on entrepreneurship and real-world applications, a spirit born from its close collaboration with SBC. With support from organizations like Blockchain Builders and the Cryptography and Blockchain Alumni of Stanford, the day was packed with deep dives into celestial blockchains, the future of Ethereum, institutional DeFi, and the burgeoning intersection of AI and crypto.

Dalia Maliki: Building an Orbital Root of Trust with Space Computer​

Dalia Maliki, a professor at UC Santa Barbara and an advisor to Space Computer, opened with a look at a truly out-of-this-world application: building a secure computing platform in orbit.

What is Space Computer? In a nutshell, Space Computer is an "orbital root of trust," providing a platform for running secure and confidential computations on satellites. The core value proposition lies in the unique security guarantees of space. "Once a box is launched securely and deployed into space, nobody can come later and hack into it," Maliki explained. "It's purely, perfectly tamper-proof at this point." This environment makes it leak-proof, ensures communications cannot be easily jammed, and provides verifiable geolocation, offering powerful decentralization properties.

Architecture and Use Cases The system is designed with a two-tier architecture:

• Layer 1 (Celestial): The authoritative root of trust runs on a network of satellites in orbit, optimized for limited and intermittent communication.
• Layer 2 (Terrestrial): Standard scaling solutions like rollups and state channels run on Earth, anchoring to the celestial Layer 1 for finality and security.

Early use cases include running highly secure blockchain validators and a true random number generator that captures cosmic radiation. However, Maliki emphasized the platform's potential for unforeseen innovation. "The coolest thing about building a platform is always that you build a platform and other people will come and build use cases that you never even dreamed of."

Drawing a parallel to the ambitious Project Corona of the 1950s, which physically dropped film buckets from spy satellites to be caught mid-air by aircraft, Maliki urged the audience to think big. "By comparison, what we work with today in space computer is a luxury, and we're very excited about the future."

Tomasz Stanczak: The Ethereum Roadmap - Scaling, Privacy, and AI​

Tomasz Stanczak, Executive Director of the Ethereum Foundation, provided a comprehensive overview of Ethereum's evolving roadmap, which is heavily focused on scaling, enhancing privacy, and integrating with the world of AI.

Short-Term Focus: Supporting L2s The immediate priority for Ethereum is to solidify its role as the best platform for Layer 2s to build upon. Upcoming forks, Fusaka and Glumpsterdom, are centered on this goal. "We want to make much stronger statements that yes, [L2s] innovate, they extend Ethereum, and they will have a commitment from protocol builders that Layer 1 will support L2s in the best way possible," Stanczak stated.

Long-Term Vision: Lean Ethereum and Real-Time Proving Looking further ahead, the "Lean Ethereum" vision aims for massive scalability and security hardening. A key component is the ZK-EVM roadmap, which targets real-time proving with latencies under 10 seconds for 99% of blocks, achievable by solo stakers. This, combined with data availability improvements, could push L2s to a theoretical "10 million TPS." The long-term plan also includes a focus on post-quantum cryptography through hash-based signatures and ZK-EVMs.

Privacy and the AI Intersection Privacy is another critical pillar. The Ethereum Foundation has established the Privacy and Scaling Explorations (PSC) team to coordinate efforts, support tooling, and explore protocol-level privacy integrations. Stanczak sees this as crucial for Ethereum's interaction with AI, enabling use cases like censorship-resistant financial markets, privacy-preserving AI, and open-source agentic systems. He emphasized that Ethereum's culture of connecting multiple disciplines—from finance and art to robotics and AI—is essential for navigating the challenges and opportunities of the next decade.

Sreeram Kannan: The Trust Framework for Ambitious Crypto Apps with EigenCloud​

Sreeram Kannan, founder of Eigen Labs, challenged the audience to think beyond the current scope of crypto applications, presenting a framework for understanding crypto's core value and introducing EigenCloud as a platform to realize this vision.

Crypto's Core Thesis: A Verifiability Layer "Underpinning all of this is a core thesis that crypto is the trust or verifiability layer on top of which you can build very powerful applications," Kannan explained. He introduced a "TAM vs. Trust" framework, illustrating that the total addressable market (TAM) for a crypto application grows exponentially as the trust it underwrites increases. Bitcoin's market grows as it becomes more trusted than fiat currencies; a lending platform's market grows as its guarantee of borrower solvency becomes more credible.

EigenCloud: Unleashing Programmability Kannan argued that the primary bottleneck for building more ambitious apps—like a decentralized Uber or trustworthy AI platforms—is not performance but programmability. To solve this, EigenCloud introduces a new architecture that separates application logic from token logic.

"Let's keep the token logic on-chain on Ethereum," he proposed, "but the application logic is moved outside. You can actually now write your core logic in arbitrary containers... execute them on any device of your choice, whether it's a CPU or a GPU... and then bring these results verifiably back on-chain."

This approach, he argued, extends crypto from a "laptop or server scale to cloud scale," allowing developers to build the truly disruptive applications that were envisioned in crypto's early days.

Panel: A Deep Dive into Blockchain Architecture​

A panel featuring Leiyang from MegaETH, Adi from Realo, and Solomon from the Solana Foundation explored the trade-offs between monolithic, modular, and "super modular" architectures.

• MegaETH (Modular L2): Leiyang described MegaETH's approach of using a centralized sequencer for extreme speed while delegating security to Ethereum. This design aims to deliver a Web2-level real-time experience for applications, reviving the ambitious "ICO-era" ideas that were previously limited by performance.
• Solana (Monolithic L1): Solomon explained that Solana's architecture, with its high node requirements, is deliberately designed for maximum throughput to support its vision of putting all global financial activity on-chain. The current focus is on asset issuance and payments. On interoperability, Solomon was candid: "Generally speaking, we don't really care about interoperability... It's about getting as much asset liquidity and usage on-chain as possible."
• Realo ("Super Modular" L1): Adi introduced Realo's "super modular" concept, which consolidates essential services like oracles directly into the base layer to reduce developer friction. This design aims to natively connect the blockchain to the real world, with a go-to-market focus on RWAs and making the blockchain invisible to end-users.

Panel: The Real Intersection of AI and Blockchain​

Moderated by Ed Roman of HackVC, this panel showcased three distinct approaches to merging AI and crypto.

• Ping AI (Bill): Ping AI is building a "personal AI" where users maintain self-custody of their data. The vision is to replace the traditional ad-exchange model. Instead of companies monetizing user data, Ping AI's system will reward users directly when their data leads to a conversion, allowing them to capture the economic value of their digital footprint.
• Public AI (Jordan): Described as the "human layer of AI," Public AI is a marketplace for sourcing high-quality, on-demand data that can't be scraped or synthetically generated. It uses an on-chain reputation system and staking mechanisms to ensure contributors provide signal, not noise, rewarding them for their work in building better AI models.
• Gradient (Eric): Gradient is creating a decentralized runtime for AI, enabling distributed inference and training on a network of underutilized consumer hardware. The goal is to provide a check on the centralizing power of large AI companies by allowing a global community to collaboratively train and serve models, retaining "intelligent sovereignty."

More Highlights from the Summit​

• Orin Katz (Starkware) presented building blocks for "compliant on-chain privacy," detailing how ZK-proofs can be used to create privacy pools and private tokens (ZRC20s) that include mechanisms like "viewing keys" for regulatory oversight.
• Sam Green (Cambrian) gave an overview of the "Agentic Finance" landscape, categorizing crypto agents into trading, liquidity provisioning, lending, prediction, and information, and highlighted the need for fast, comprehensive, and verifiable data to power them.
• Max Siegel (Privy) shared lessons from onboarding over 75 million users, emphasizing the need to meet users where they are, simplify product experiences, and let product needs inform infrastructure choices, not the other way around.
• Nil Dalal (Coinbase) introduced the "Onchain Agentic Commerce Stack" and the open standard X42, a crypto-native protocol designed to create a "machine-payable web" where AI agents can seamlessly transact using stablecoins for data, APIs, and services.
• Gordon Liao & Austin Adams (Circle) unveiled Circle Gateway, a new primitive for creating a unified USDC balance that is chain-abstracted. This allows for near-instant (<500ms) deployment of liquidity across multiple chains, dramatically improving capital efficiency for businesses and solvers.

The day concluded with a clear message: the foundational layers of crypto are maturing, and the focus is shifting decisively towards building robust, user-friendly, and economically sustainable applications that can bridge the gap between the on-chain world and the global economy.