Lagrange Foundation

$LA Staking is now live: 20% Expected APY, 1 Year Lock. A total of 1M $LA can be staked in the first program—secure your rewards now. Fuel the economy powering safe AI: stake.lagrange.dev

Lagrange is the first crypto company with dual-use impact across both commercial and national-security applications. Lagrange is pioneering cryptographic supremacy across defense supplier ecosystems including @Oracle, @RTX_News, @LockheedMartin, @GeneralDynamics.

연말을 맞아 업비트와 함께하는 블록체인 프라이데이 퀴즈 이벤트가 12월 19일(금) 단 하루 진행됩니다. 라그랑주에 대해 학습하고 퀴즈에 참여해 보상을 받아보세요. 본 이벤트를 함께해 주신 업비트에 감사드리며, 한 해 동안 보내주신 커뮤니티의 성원에 깊이 감사드립니다. 따뜻한 연말 보내시길 바랍니다. 👉 upbit.com/service_center…

Lagrange is now a registered supplier in Raytheon Technologies’ (@rtx_news) vendor network, allowing Raytheon teams to discover and evaluate Lagrange's DeepProve as part of their supplier ecosystem. Learn more: 🧵

Lagrange Labs is now a registered supplier within @LockheedMartin's vendor ecosystem, positioning Lagrange to support AI assurance and Zero Trust data-integrity initiatives across aerospace and defense programs. Learn more: 🧵

Lagrange has joined the @Oracle Partner Network to bring verifiable AI to defense, aerospace, and government systems. As a part of the network, we’re building DeepProve-powered use cases on Oracle Cloud Infrastructure (OCI) sovereign and mission-cloud solutions. Learn more: 🧵

Lagrange is now testing a DeepProve integration with @anduriltech 's Lattice SDK to bring real-time, verifiable AI to defense systems so they are provably correct, secure, and auditable. Learn more: 👇

@0xNairolf A lot of great things are happening in crypto. Only thing missing is all of the groundwork being done on zero-knowledge machine learning in the AI x Crypto space.

look: - UX is 10x better than just a year ago (privy everywhere for example) - L2s actually work - gas fees are low everywhere - bridging is almost instant now - DeFi apps doing great with *real* users - stablecoins adoption up - RWAs adoption up - polymarket, hyperliquid, even pumpfun going mainstream - real consumer crypto is emerging - crypto cards are actually good and integrated - privacy tech getting production ready - regulation getting better its obvious

@nicrypto The projects that find the most success in crypto are ones that remain calm and keep building and innovating through market booms and downturns.

Just so you know, there are projects that aren’t even paying attention to what the market is doing. They’re literally just building. Who’s doing this?

This is a cool and much-needed publication. There are roles for both centralized and decentralized AI models, and certain startups and individuals with the right resources will want to train their own. More open-source or private AI models will lead to more demand for verifying those models with zkML.

No excuse anymore not to train your own models! This 200+ pages with full transparency. Let's go open-source AI!

Defense AI is evolving, from intel analysis to real-time action. But in national security, human trust in AI isn’t enough. With DeepProve, the leading zkML for verifiable Defense AI, we prove AI inferences so outputs are accurate, tamper-proof, and secure. Learn more: 🧵

Lagrange is partnering with @CryptoAlgebra to bring verifiable AI to @MAIN_AI_DEX , the first AI-governed DEX. DeepProve will make every agentic trade + decision cryptographically proven, ensuring accuracy, compliance & accountability for the next era of agentic DeFi.

Digital assets and blockchain settlement are the way forward for financial transactions and investment. What needs to happen in parallel to this innovation is an upgrade to guardrails for businesses and consumers. On a global scale, it will require cryptographic verification for transactions as well as KYC and AML.

🚨 LATEST: BlackRock CEO Larry Fink says every currency, ETF, and asset will be digitized and tokenized with a global settlement layer connecting it all. “We’re not talking about it enough. Most countries aren’t ready for what’s coming.” The future of finance is tokenized 🚀

@Cointelegraph It will be interesting to see what level of adoption JPMorgan’s tokenized private equity ETF gets from mainstream retail investors and crypto-natives. Either way, it’s the type of innovation that will help further institutional integration of crypto apps and products.

🚨 BIG: JPMorgan has tokenized a private equity fund on its Kinexys Fund Flow platform, with a broader rollout planned for 2026.

Crypto is in the midst of a new wave of innovation with regulatory clarity + institutional adoption. But not all projects are seeing immediate benefits. Instead of waiting, make it happen by building products that businesses & individual users want to use. There is plenty of innovation to be made by founders & developers building at the frontier of AI, Crypto, and ZK.

@business AI makers could augment their search for bugs and vulnerabilities with zero-knowledge machine learning, which would help ensure that models are free from faulty inferences/outputs as well as secure from malicious hacks and prompt injections.

AI companies offer rewards for reported vulnerabilities. bloomberg.com/news/newslette…

@ShiningScience Regardless of when the AGI singularity unfolds, a top priority needs to be making AI models provably correct with zero-knowledge machine learning. Otherwise we risk superintelligent systems that aren’t properly aligned with humanity’s goals and interests.

Experts say singularity—when AI surpasses human intelligence—could happen in just 3 months. The technological singularity—a point where artificial intelligence surpasses human intelligence—may arrive sooner than expected, according to a new meta-analysis of expert predictions. Researchers at AIMultiple analyzed nearly 9,000 forecasts from scientists, entrepreneurs, and technologists spanning the past 15 years. The result? Predictions have rapidly accelerated since the advent of large language models like ChatGPT. Some experts now estimate artificial general intelligence (AGI) could emerge within the next three months, while most agree it will arrive before the end of the century. Historically, forecasts placed AGI around 2060, but the explosion of LLMs has shifted expectations dramatically. Entrepreneurs are especially bullish, projecting AGI by 2030, with some suggesting quantum computing may fast-track the singularity by overcoming hardware limits. Still, not everyone is convinced. Critics argue that human intelligence is more than logic and data—it includes empathy, self-awareness, and abstract reasoning. Yet even skeptics admit: AI is advancing rapidly, and the changes it brings—whether in research, medicine, or society at large—are already reshaping our future. #artificial_intelligence #Ai

Lagrange is partnering with @khalani_network to integrate DeepProve into their decentralized solvers platform so that outcome-based intents are cryptographically verified with zkML.

This is actually really cool AI creativity tutorial. Many artists and musicians aren’t exactly sure how to leverage AI tools for their work or are worried about generative AI flooding social media with artificial creations. This is some good proof that culture can remain authentic even with generative AI tools.

Grimes is putting out a tutorial series on how she made her latest music video with AI! She + her team are going to walk through tools they used and how to make content like it. Very cool to hear her talk about the project and the role of AI in her creative process, clip ⬇️

We’re excited to announce our partnership with @GrovioAI , a marketing intelligence platform that powers personalized campaigns, AI-assisted design, and autonomous brand workflows. Together, we’re building the infra for verifiable AI-based marketing intelligence. 🧵

5/ As AI integrates with IoT, robots, wearables, and other hardware, zkMLs will be there verifying model inferences and outputs. The future is verifiable.

4/ ZK proofs are also just starting to bring verifiability to LLMs. As zkMLs (zero-knowledge machine learning) prove more AI models, AI will become safer and more trustworthy. AI will also be more aligned with human interests.

ZK proofs have been around since the mid-1980s. A lot has happened since then, from ZK rollups to the first zkMLs making AI verifiable. Here’s how the future of ZK is shaping up. 🧵