The Good Tech Companies - AI-Native Smart Contracts Are No Longer Theory—They Just Became Real

Episode Date: December 3, 2025

This story was originally published on HackerNoon at: https://hackernoon.com/ai-native-smart-contracts-are-no-longer-theorythey-just-became-real. Endless Move-LM turns intent into secure Move smart contracts, marking a shift to AI-native development and raising the security bar for Web3. Check more stories related to web3 at: https://hackernoon.com/c/web3. You can also check exclusive content about #web3, #yu-xiong, #endless-protocol, #move-programming-language, #ai-in-blockchain, #smart-contracts, #blockchain-security, #good-company, and more. This story was written by: @phillcomm. Learn more about this writer by checking @phillcomm's about page, and for more stories, please visit hackernoon.com. Endless Move-LM is the first AI model built specifically for the Move smart contract language, bridging human intent with mathematically secure code. It marks the shift from AI as a helper to AI as an embedded guardrail for Web3, lowering barriers while strengthening security across the ecosystem.

This audio is presented by Hacker Noon, where anyone can learn anything about any technology. AI native smart contracts are no longer theory, they just became real. By Philcom Global, for all the talk about the future of Web 3, most of the industry has been stuck in a strange paradox. The most secure smart contract languages are also the hardest to write. Move is a perfect example. It gives developers an asset model grounded in formal reasoning. the kind of mathematical guarantees blockchain has always needed, but the complexity of that model has kept it firmly in the hands of experts. For years, we've known what was missing. A way to make intelligent smart contracts possible without dumbing down the safety rules that keep decentralized systems

trustworthy. That gap is finally closing. The University of Surrey and Endless Protocol have introduced Endless MoveLM, an open source AI model built specifically for the Move programming language. Tony won outside the technical community. This may sound incremental. Inside the field, it represents a structural shift. We are moving from AI as a helper to AI as a participant in secure blockchain engineering. This isn't hype and it isn't a marketing phrase. It's a reality we've been heading toward for over a decade and now the tools have caught up. Why Move needed a purpose-built AI model. Move is not another solidity clone. It was designed to solve core problems, asset safety, behavior, formal constraints around resource movement. Its architecture is elegant, but it doesn't

tolerate developer sloppiness, nor should it. If a programmer mishandles a resource rule, the entire project can break down. The challenge is simple. The stricter the language, the steeper the learning curve. Traditional AI coding assistants don't understand move. Not really. The pattern match text and produce synthetic guesses. That works for JavaScript. It does not work for a language where asset semantics matter as much as syntax. Endless MoveLM is the first model trained specifically on. Moves resource logic. Its module structure, common error patterns, real-world developer workflows inside the MoveVM, best practices from system-level codebases across multiple chains built on Move. It doesn't, autocomplete, Move, it reasons about it,

the bridge between intent and security. One of the first things people misunderstand about blockchain development is how quickly intent becomes irrelevant. Smart contracts execute blindly. They don't care what a developer meant, only what was written. This is where I see the deepest value in endless move LM. A developer can describe, in plain language, the behavior they want, a multi-acid escrow, a staking flow, a token with custom movement rules. The model translates that intent into well-structured move modules, then immediately surfaces whether anything violates resource constraints or introduces unwanted side effects. It compresses the feedback loop in a way previously impossible. We're not automating creativity. Developers still decide what to build. We're

automating the is this safe and correct layer that, until now, required hours of testing, trial and error, and one or two move experts reviewing everything manually. Why this matters for Web3's next phase. Web 3 has been stuck in a pattern for years. One. Developers build applications. Two, auditors try to catch mistakes. Three, eventually, the weakest project in the ecosystem collapses and everyone suffers. The stakes are too high for this cycle to continue. When we talk about I Native Web 3, this is what we mean. Systems where the intelligence is baked into the development environment itself, not bolted on after the fact. Endless Move LM integrates directly into endless chains infrastructure, giving developers,

automated error detection, especially around resource management. Real-time security guidance. Optimization suggestions that understand moves constraints. Natural language to code generation that doesn't sacrifice correctness. This combination shortens development timelines, but more importantly, IT elevates the baseline of safety across an entire ecosystem. From smart contracts to autonomous on-chain agents, where this ultimately leads is far bigger than AI helping developers write faster. As these models improve, three breakthroughs become possible. 1. AI-driven formal verification not as a separate phase, but as a continuous part of

development. Two, multi-chain intelligent B-EHA-V-I-O-R-A-I that understands move on different chains and adapts modules to their local configurations. 3. Autonomous agents that operate with enforceable constrained T-S agents that connect, reason, transact, and adapt within the Move VM's security model, without exposing users to unpredictable behavior. Every major blockchain innovation, has followed the same pattern. First we build tools, then the tools build the ecosystem. Endless MoveLM is one of those tools. Lowering the barrier without lowering the standard, there's a misconception in the blockchain world that lowering barriers always leads to security

degradation. That's only true when shortcuts replace discipline. The move language was built to prevent shortcuts, and Endless MoveLM respects those constraints. If anything, it enforces them more rigorously than most developers do on Theron. The result is a strange and welcome shift. Move becomes easier to use while becoming even safer in practice. That kind of shift rarely happens in software engineering. Where we go from here. The launch of the model doesn't mark an endpoint. It marks the beginning of an entirely new research frontier. Our next focus areas include multi-chain compatibility, automated, AI-assisted auditing, high-trust autonomous agent, cross-language reasoning between move and other formal, resource-secure environments. It took a long time for the AI world and the

blockchain world to converge. They had fundamentally different cultures and priorities. But as smart contract ecosystems mature, intelligence isn't just a bonus, it's becoming our requirement. If blockchain is going to power global scale systems, the infrastructure needs to think, reason, and adapt alongside human developers. Endless Move LM is an early proof that this is not only possible, it's already happening. By Professor Yu Shang, founding advisor, Luffy about Professor Yu Shang Professor Yu Shang is chair of business analytics and associate vice president at the University of Surrey, as well as co-founder and chief scientist of Endless Protocol, a Web 3 startup that reached unicorn status in 2025. A recognized bridge builder between academia, industry, and government,

Sean has helped launch over 40 startups, advised U.K. policymakers on emerging tech, and old major sustainability and innovation initiatives. His work offers a new model for translating academic research into global enterprise. About Luffy Luffy is a next-generation social operating system for the fan economy, giving creators ownership over their communities while allowing fans to turn attention into tangible value. The platform unifies wallet, messaging, loyalty, and engagement in a decentralized environment, fans earn rewards for actions like chatting, tipping, minting tokens, joining, supergroups, and completing quests, forming a living fan graph with real world worth. Luffy emphasizes privacy and security, it is built

with end-to-end encryption and zero centralized backups, and supports mnemonic-based registration without requiring phone or email. Luffy runs on endless protocol, a decentralized AI-enabled web 3 infrastructure. In 2025, Endless Web 3 Genesis Cloud raised $110 million, reaching a $1 billion post-money valuation. In the broader ecosystem, Luffy is positioned as a core application within endless, helping bring community, creator tools, and interaction to life on top of the protocol. This article is published under Hackernoon's business blogging program. Thank you for listening to this Hackernoon story, read by artificial intelligence. Visit Hackernoon com to read, write, learn and publish.