// AI Briefing · March 19, 2026
AI Briefing
Mistral just made GitHub Copilot sweat, the EU started handing out real fines, and a Berkeley paper might let you run 70B models on your laptop.
Top stories
- 01Mistral Releases Codex 2 as Fully Open-Source ModelOpen Source
- 02Google Announces Project Astra Integration in Android StudioProduct
- 03EU AI Act Enforcement Begins for High-Risk SystemsPolicy
- 04Researchers Achieve 10x Inference Speedup with Speculative Decoding BreakthroughResearch
- 05Anthropic Partners with Thomson Reuters for Legal AIIndustry
The stories
Mistral Releases Codex 2 as Fully Open-Source Model
Mistral unveiled Codex 2, a 32B parameter code generation model released under the Apache 2.0 license. The model matches GPT-4o on HumanEval benchmarks while running on a single A100 GPU. This matters because it gives companies a production-grade code assistant they can self-host without vendor lock-in, directly challenging GitHub Copilot's dominance.
Google Announces Project Astra Integration in Android Studio
Google revealed that Project Astra, its multimodal AI assistant, will be deeply integrated into Android Studio by Q3 2026. Developers will be able to point their camera at a whiteboard sketch and have Astra generate the corresponding Jetpack Compose UI code. The integration signals Google's strategy to make AI-first development the default workflow, not an add-on.
EU AI Act Enforcement Begins for High-Risk Systems
The first enforcement wave of the EU AI Act took effect today, requiring companies deploying high-risk AI systems in healthcare, law enforcement, and employment to register their systems and complete conformity assessments. Non-compliance carries fines up to 3% of global revenue. This marks the world's first binding AI regulation with real enforcement teeth.
Researchers Achieve 10x Inference Speedup with Speculative Decoding Breakthrough
A team from UC Berkeley published a paper demonstrating a new speculative decoding technique that achieves 10x faster inference on 70B+ parameter models without quality degradation. The technique uses a cascade of draft models with adaptive verification, making real-time LLM responses feasible on consumer hardware. The research is already being integrated into vLLM and llama.cpp.
Anthropic Partners with Thomson Reuters for Legal AI
Anthropic announced a partnership with Thomson Reuters to build AI tools for legal professionals using Claude. The collaboration will embed Claude into Westlaw and Practical Law, enabling lawyers to research case law, draft documents, and analyze contracts with AI assistance. This is notable as one of the largest enterprise AI deployments in a regulated industry.
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