[ This week in AI ]
Week of June 8, 2026
The week's most significant primary-source updates, ranked across 38 stories from 5 labs. Every link goes to the original source.
- 01
OpenAI Introducing the OpenAI Partner Network
OpenAI launches the Partner Network, investing $150M to help global partners accelerate enterprise AI adoption, deployment, and transformation.
· Releases· Infra & hardware - 02 OpenAI
New OpenAI Academy courses for the next era of work
OpenAI introduces three Academy courses that help people build practical AI skills, create repeatable workflows, and apply agents in everyday work.
· Releases· Agents - 03 OpenAI
How Preply combines AI and human tutors to personalize learning
Preply uses OpenAI to launch AI-generated lesson summaries, providing personalised feedback and language learning exercises.
· Releases - 04
Google DeepMind Investing in multi-agent AI safety research
Google DeepMind and partners announce a $10M funding call for multi-agent safety research.
· Releases· Agents· Research - 05 OpenAI
From data to decisions: how LSEG is scaling trusted AI
See how LSEG uses OpenAI to scale trusted AI across its global business, accelerating insights, shrinking release cycles, and empowering 4,000 employees.
· Releases· Infra & hardware - 06
NVIDIA AI NVIDIA Achieves Leading Agentic Coding Performance on First Agentic AI Benchmark
AI agents have fundamentally changed the complexity of inference workloads. Until now, the industry has struggled to define a standard for measuring how...
· Agents· Infra & hardware· Research - 07 NVIDIA AI
Run DiffusionGemma on NVIDIA for Developer-Ready, High-Throughput Text Generation
Developers building real-time AI—such as chat assistants, copilots, and agentic workflows—are often constrained by token-by-token generation speed. This...
· Agents· Infra & hardware· Tooling - 08 NVIDIA AI
Deploy Long-Context Reasoning and Agentic Workflows with MiniMax M3 on NVIDIA Accelerated Infrastructure
As enterprise AI adoption scales, developers are increasingly forced to stitch together fragmented pipelines—separate models for text, vision, and...
· Agents· Infra & hardware· Multimodal