Any pursuit of superintelligence has to be grounded in the core principle that if the AI we build is not helping humanity and under human control, it's not worth pursuing. We also need to accelerate and spread the benefits of AI, such that they are diffused broadly across countries, communities, and companies. This requires a frontier ecosystem in which both closed and open-source models can thrive. And for firms, it’s imperative that they retain full control over their unique and tacit knowledge. Every organization should be able to build its own continuous learning loop/hill climbing machine, without becoming dependent on any one model provider, and have the ability to embed its own knowledge into models and weights they control. So, in this context, we welcome the research, focus, and deliberate pacing needed to get alignment right as the design goal. We also welcome ideas like "embedded evaluators" and the broader efforts to develop the mechanisms to make this more than just talk. The key is that this cannot be controlled by a handful of entities, but must have broad representation across the ecosystem, countries, and fields, including academia. This is the approach we are taking: broad access and choice at every layer of the AI stack; enterprise control of learning loops and models; and the “Code of Conduct” that underlies our own first party MAI models that we’ll publish tomorrow for public consultation.

Using @Azure? SurrealDB Cloud, our managed multi-model database service, is now available on Azure. Get private connectivity, lower latency, better data residency, simpler security, plus simplify procurement with Azure Marketplace. Get the details. 👉 sdb.li/4yJz9fx

OpenClaw went from a weekend project to one of @github's fastest-growing open source projects. Six months in, @steipete and several maintainers share what they learned about scaling contributions, trust, code review, and security. piped.video/5VSwaUXtPIE?si=PP1N…

Today, we're proud to announce the next phase of Stuut's work with @Microsoft: our listing on the Microsoft Marketplace, and an investment into Stuut from @M12vc, Microsoft's Venture Fund. Microsoft brought tens of thousands of enterprises into the digital age, and they're in the middle of bringing AI to the Fortune 1000. This is not easy - many of these enterprises don't have the resources, time, or expertise to adopt AI effectively, or operate with agents. Stuut makes that easier. Our agent automates 100% of the work for Tier 3 customers, and frees these teams up to focus on more complex accounts. Through Microsoft Marketplace and Azure, enterprise finance teams can purchase and deploy autonomous order-to-cash through the Microsoft procurement and cloud commitments they already use. Stuut also integrates with Microsoft Dynamics 365, allowing finance teams to automate collections, cash application, payments, credit, disputes, and deductions while keeping their existing ERP environment. In addition, we've been accepted into the Microsoft for Startups Pegasus program. We're excited to bring our autonomous order-to-cash agent to more enterprise finance teams.