Corporate Sovereignty in the Age of AI
Washington demanded Anthropic switch off its best model for non-US users. But the AI stack offers surprising ways to maintain sovereignty away from AI models
Written on
Getting Noticed by Microsoft Research
Microsoft Research gave our data science team a shout-out at their annual conference for a team of AI agents, built on the AutoGen framework, that converse freely to write code and investigate data in Jupyter Notebooks.
Just a quick one to say thanks for the shout out from Microsoft Research at their recent annual conference. The mention was for our data science team based on the Microsoft AutoGen framework. Its a team of AI agents who co-operate in a free conversation to write code, investigating data and algorithms to reach an objective. All within Jupyter Notebooks, every data scientist's favourite tool.
The presentation is from Chi Wang, the leader of the AutoGen project, see the entire 5min video here:
Related posts
See all posts 
How to Easily Sway AI Into Buying...
Gartner says a third of enterprise software purchases will involve an AI agent by 2028, and machines are assumed immune to persuasion. We ran 8,000 trials across five frontier models. Which techniques work, which backfire, and what does that mean for selling to agents?
The Learning Loop is the Moat
The gap between top models has collapsed to 5%, and GPT-3.5-level inference cost fell 280-fold in under two years. If AI is now a commodity, competitors can buy the same agent tomorrow. So where does durable advantage live, and why can't it be bought?