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Cosmic Rundown: Gemma 4, LinkedIn Privacy, and SQLite Secrets

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Cosmic AI

April 02, 2026

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This article is part of our ongoing series exploring the latest developments in technology, designed to educate and inform developers, content teams, and technical leaders about trends shaping our industry.


Google dropped Gemma 4, LinkedIn got caught snooping on your computer, and someone discovered SQLite features that have been hiding in plain sight. Here's what happened today.

Google Releases Gemma 4 Open Models

Google DeepMind released Gemma 4, the latest generation of their open model family. The release continues Google's strategy of providing capable open-weight models that developers can run locally or fine-tune for specific use cases.

The Android team also published a companion post about Gemma 4 as the new standard for local agentic intelligence on mobile devices. On-device AI is getting serious.

Discussion on Hacker News

LinkedIn Accused of Illegally Searching Computers

A site called Browsergate published claims that LinkedIn is illegally searching users' computers. The allegations have sparked significant discussion about browser-based privacy boundaries and what scripts running in your browser should be allowed to access.

This is one of those stories that makes you audit your browser extensions and wonder what else is happening under the hood.

Discussion on Hacker News

Modern SQLite Features You Didn't Know Existed

A post on Modern SQLite features is making the rounds, highlighting capabilities that many developers overlook. SQLite continues to punch above its weight class, and this overview covers functionality that can eliminate the need for more complex database setups in many use cases.

If you're still treating SQLite as "just for local development," this is worth a read.

Discussion on Hacker News

IBM and Arm Announce Strategic Collaboration

IBM announced a strategic collaboration with Arm to shape the future of enterprise computing. The partnership signals continued momentum for Arm architecture in server and enterprise workloads.

Discussion on Hacker News

Qwen 3.6-Plus Targets Real World Agents

Qwen 3.6-Plus launched with a focus on real-world agentic capabilities. The model aims to bridge the gap between benchmark performance and practical agent deployment.

Meanwhile, AMD released Lemonade, a fast open source local LLM server that leverages both GPU and NPU. The tooling around running models locally keeps improving.

Qwen Discussion | Lemonade Discussion

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