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Sarvam Raises $234M, Becomes India's Newest AI Unicorn
Indian IT services company HCLTech is investing $150 million in the Bengaluru startup.
Lovable Boosts AI Infrastructure with Google Cloud Expansion
Lovable and Google signed an expanded multiyear deal that involves a 5x expansion of Lovable's footprint on Google Cloud, and expanded access to Anthropic Claude.
Alphabet Seeks $80B for AI Expansion
"The company is experiencing strong demand for its AI solutions and services from enterprises and consumers, at levels that are exceeding the company’s available supply," Alphabet said in its statement.
Dutch Government Blocks US Cloud Acquisition Over Public Interest Conc
The move to block the acquisition of the cloud company that hosts the Dutch digital ID service comes as Europe continues to reduce its reliance on U.S. technology.
Waymo Pauses Freeway Rides and Atlanta, San Antonio Services
The service suspension comes as Waymo has also paused operations in Atlanta and San Antonio after its robotaxis drove into flooded streets.
Waymo Pauses Robotaxis in Four Cities Due to Flooding Issues
Waymo's robotaxi service is now suspended in both Atlanta and San Antonio, as the company works to stop its vehicles from driving into flooded roads.
Anthropic Surpasses OpenAI in Business AI Adoption, Ramp Data Shows
A survey compiled from fintech firm Ramp’s clients’ expense data shows 34.4% of participating businesses are paying for Anthropic services, more than any other AI lab, while only 32.3% pay for OpenAI.
Ubuntu Services Disrupted by DDoS Attack
A group of hacktivists have claimed responsibility for a distributed denial-of-service attack, which has affected several Ubuntu and Canonical websites, and prevented users from updating the Linux-based operating system.
Amazon Launches OpenAI Models on AWS After Microsoft Deal
A day after OpenAI got Microsoft to agree to end exclusive rights, AWS announced a slate of OpenAI model offerings, including a new agent service.
Navigating AI Agent Governance: A Growing Organizational Challenge
Something I've been thinking about that doesn't get discussed enough outside of technical circles: the organizational and safety implications of uncoordinated AI agent deployment. Companies are shipping agents fast. Customer service agents, coding agents, data analysis agents, internal ops agents. Each team builds their own. Each agent gets its own rules, its own permissions, its own behavior. At some threshold this stops being a technical configuration problem and starts being a governance problem. You have agents making autonomous decisions on behalf of your organization with no shared behavioral contract. No unified view of what your AI systems are authorized to do. Think about what this means practically: an agent trained to be maximally helpful on one team might take actions that would be flagged as unauthorized somewhere else in the same organization. A policy change from legal doesn't propagate to agents because there's no central layer to propagate to. Nobody knows which agents have access to what data. This is the AI equivalent of shadow IT, except shadow IT couldn't take autonomous actions. What's the right mental model for governing a fleet of AI agents? Treat each agent like an employee with a defined role and access policy? Build an org chart for agents? Create a behavioral constitution that all agents inherit? Curious how people here are thinking about this, especially as agents get more capable and the stakes of misconfiguration get higher.