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Tokenized assets are scaling fast. The infrastructure they settle on has to match. Security, speed, and enterprise-grade reliability aren't optional—and that's where Aptos stands apart. @AptosLabs' @AveryChing with @TheBlockCo's @gazza_jenks

Anthropic's business case needs to be studied. At the end of 2025 and the beginning of 2026, there was an incredible increase in usage in the business/enterprise sector, which made them number 1.

Polygon has spent over $250M on money transmitter licenses across 48 US states and enterprise wallet infrastructure. Here's a breakdown of @0xPolygon's pivot to payments, and the Open Money Stack built to move all money onchain. Watch the full video:

📊 June 25 | Insights continues to operate at peak AI inference capacity, providing a highly stable and reliable infrastructure for global developers and AI applications. 🔹 15.37B Tokens Processed: Sustaining high-volume operations to power large-scale AI applications and production-grade workflows. 🔹 99.6% API-Driven: A massive share of traffic comes from API calls, proving that more AI agents, automated workflows, and enterprise solutions are building on 🔹 MiniMax M3 Dominates: Remains the platform's most popular model, delivering robust and high-efficiency inference for high-concurrency AI agent scenarios. 💡 Key Insight: True AI infrastructure excellence isn't just about peak performance—it's about the resilience to consistently sustain massive, real-world AI applications globally. 👉 Try now:

For modern enterprises, a data backup is no longer enough. As cyberattacks become more frequent and complex, enterprises need to detect threats earlier, recover faster, and keep critical systems running when it matters most. In this Transform Talks, Jerome Wendt, CEO and Founder of Data Center Intelligence Group (DCIG), and Song Ke, President of Huawei Data Protection Domain, discuss why data protection must evolve beyond backup, and how end-to-end capabilities can help businesses strengthen resilience in an increasingly unpredictable digital world.

🧵Up, up and away 🚀 Gemma 4, our most intelligent open models to date, just hit 200 million downloads. Since its launch 2.5 months ago, developers, researchers and startups have used Gemma 4 to fine-tune and deploy models across a variety of environments — from wearable robotic arms for physical assistance to enterprise-grade AI security.

Today, we’re excited to announce our $50M Series B, led by @GreenfieldVC, with participation from @lightspeedvp and @notablecap. 🚀 At Patronus AI, we develop simulations and evals to train and improve AI. The first phase of AI was built on static benchmarks, but that era is over. As agents are used to solve longer and longer tasks, they need to practice in dynamic, living worlds to get better. Simulations are the critical infrastructure powering this next phase. As a company, we’re behind the most influential research and products in AI evaluation, like FinanceBench, Lynx, and Percival. And things have moved at the speed of light since.⚡ We partner with the world's leading frontier AI labs and enterprises, and our revenue has grown more than 15x over the past year. Additionally, today, we’re introducing a preview of the first Digital World Model for AI agent training and simulation: Patronus-DWM. Digital World Models are language diffusion world models that predict realistic environment behaviors and steer agent actions across digital workflows. Just as physical world models predict how objects move through space, we’re developing the equivalent for the digital world: predicting how agents act in digital workflows, then using that to scale the creation of high-quality training data for LLMs. Digital World Models help us push the frontier of ultra long horizon workflows, and unlock a new class of self-improving RL environments. This is our scalable approach to simulating all of the world’s intelligence. The round was also joined by @datadoghq, @SamsungVentures, @gokulr, @factorialcap, and a large cohort of amazing AI leaders across @AnthropicAI, @OpenAI, @GoogleDeepMind, @nvidia, @Recursive_SI, and more.✨ It has been the ride of a lifetime. But we’re just getting started. The best is yet to come. "Do not go gentle into that good night, Rage, rage against the dying of the light" - Dylan Thomas (1954)

🚀I'm excited to share that I will be joining Meta Superintelligence Labs (MSL) as Vice President of AI Research, together with many members of the Virtue AI team. I will help shape Meta's AI safety and AI security efforts, advancing the safety and security of frontier AI models and agentic AI systems that will serve billions of people and organizations around the world. Throughout my career, I have been driven by a simple belief: for AI to realize its full potential, it must be secure, trustworthy, and beneficial. That belief has guided my research for many years and ultimately led us to co-found Virtue AI in 2024. Our goal was to translate advances in trustworthy AI research into practical solutions and build the trust layer for AI systems and agents, enabling organizations to deploy AI with confidence. I am incredibly proud of what the Virtue AI team has accomplished. Together, we built technologies for AI security and agent security, partnered with leading enterprises and frontier AI labs, and contributed research, benchmarks, and open platforms that have helped advance the science and practice of trustworthy AI. Most importantly, we assembled an exceptional team united by a shared mission: making AI more secure, trustworthy, and beneficial. I am deeply grateful to our team, customers, collaborators, advisors, and investors for their trust and support throughout this journey. In particular, I would like to thank Lightspeed Venture Partners, Walden Catalyst Ventures, Prosperity7 Ventures, Factory, Osage University Partners, Lip-Bu Tan, and all of our supporters who helped us turn an ambitious vision into reality. Your trust, guidance, and partnership have been instrumental in shaping Virtue AI's journey. As AI systems become increasingly capable and autonomous, ensuring their security, trustworthiness, and alignment will be one of the defining challenges of our time. I am inspired by Alex, Nat, Prashant, and the broader MSL team’s vision of building AI and AI agents that benefit billions of people, and I look forward to helping make that vision a reality through advances in AI safety and security. The future of AI will not be defined solely by how intelligent our systems become, but by how secure, trustworthy, and beneficial we make them. I believe we have an extraordinary opportunity and responsibility to shape that future together and bring the benefits of AI to billions of people around the world. We're just getting started. If you're passionate about advancing frontier AI while building the foundations of AI safety, security, and trust, I'd love to hear from you. Come join us on this extraordinary journey to help shape the future of AI.

🛡️ Computer Use in Gemini 3.5 Flash is built with safety in mind. To keep agents operating in live environments secure, we're pairing targeted adversarial training with two new enterprise safeguard systems: 1⃣ Explicit User Confirmation: Requires explicit human sign-off before executing sensitive or irreversible actions. 2⃣ Automated Task Stopping: Automatically stops a task if a potential threat is identified. Beyond these measures, we encourage secure sandboxing, keeping a human in the loop to verify agent actions and strict access controls for maximum security.