Google’s Gemini AI assistant is hitting the road in millions of vehicles
The move signals Google’s push to bring more advanced, conversational AI into the driving experience.
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The move signals Google’s push to bring more advanced, conversational AI into the driving experience.

Google says it respects user privacy in AI, but the reality is not so black and white.

Cloudflare announced Agent Memory in private beta, a managed service that extracts structured memories from AI agent conversations and retrieves them on demand using five-channel parallel retrieval with Reciprocal Rank Fusion. Shared memory profiles let teams of agents access common knowledge. Competitors include Mem0, Zep, LangMem, and Letta. By Steef-Jan Wiggers

DBmaestro has launched an MCP server that connects AI agents and enterprise copilots to its database DevOps platform, allowing teams to issue natural language commands that trigger real, governed platform workflows. The MCP server, announced on 7 April 2026, allows DBAs to expose DBmaestro's release automation, source control, CI/CD orchestration, and compliance capabilities through MCP. By Matt S

Musk’s shifting stance on AI dangers may complicate trial over OpenAI’s mission.

Beloved wolf gripped the nation after burrowing out of the zoo.

Google's new generation of Tensor AI chips is actually two chips, one for inference and one for training.
Latitude's new AI-native platform, Voyage, aims to help gamers create their very own role-playing game.

AWS has announced the general availability of DevOps Agent, a generative AI–powered assistant designed to help developers and operators troubleshoot issues, analyze deployments, and automate operational tasks across AWS environments. By Renato Losio

Google has announced the release of Gemma 4, a series of open-weight AI models, including variants with 2B, 4B, 26B, and 31B parameters, under the Apache 2.0 license. Key features include enhanced video and image processing, audio input on smaller models, and extended context windows up to 256K tokens. By Hien Luu

Zendesk argues that GenAI shifts the bottleneck in software delivery from writing code to “absorption capacity”, which is the organisation’s ability to define problems clearly, integrate changes into the wider system, and turn implementation into reliable value. As code becomes abundant, architectural coherence, review capacity, and delivery flow become the main constraints. By Eran Stiller

In my last Week in Review post, I mentioned how much time I’ve been spending on AI-Driven Development Lifecycle (AI-DLC) workshops with customers this year. A common theme in those sessions is the need for better cost visibility. Teams are moving fast with AI, but as they go from experimenting to full production, finance and […]

Is 90 percent accuracy good enough for a search robot?

Last week, I visited AWS Hong Kong User Group with my team. Hong Kong has a small but strong community, and their energy and passion are high. They recently started a new AI user group, and we hope more people will join. I was able to strengthen my bond with the community through great food […]

Gemma 4 brings the first major update to Google's open models in a year.