As Sam Altman announces "the superintelligence era has begun", here are some of the biggest AI stories this month.

Luxembourg x Mistral AI

A big move in the Grand-Duchy's push to be at the forefront of the AI revolution; the Luxembourg government – represented by the Prime Minister and several key ministers across the economy, defence, digitalisation, higher education, and media – signed a strategic partnership with Mistral AI. The agreement aims to boost technological innovation and accelerate the development and use of artificial intelligence throughout the country.

According to the Prime Minister, the collaboration will focus on enhancing government efficiency, particularly in implementing EU directives and financial sector applications. The agreement also includes provisions for cooperation with Luxembourg's public research institutions.

AI system outshines human doctors

Microsoft has announced a major advancement in AI-based medical diagnostics with the development of MAI‑DxO, a system that brings together five specialised AI agents working as a virtual medical team. In trials using 304 real-world case studies from the New England Journal of Medicine, MAI‑DxO reached an 85.5% diagnostic accuracy, vastly outperforming human doctors in the same blind test, who averaged around 20% accuracy.

This breakthrough points toward the potential for medical superintelligence, offering diagnoses that are significantly faster, more accurate, and more cost-effective than current methods. As always in these AI articles, the paper is yet to be peer-reviewed but it once again points at the rapid expansion of artifical intelligence usage in the medical world and how it will revolutionise the field.

Google DeepMind release AlphaGenome

Another huge medical announcement was made at Google DeepMind with the launch of AlphaGenome, an AI model designed to predict the biological impact of genetic variations across the human genome. Unlike previous models focused only on the 2% of DNA that codes for proteins, AlphaGenome covers the remaining 98% – the non-coding regions that play a crucial role in regulating gene activity and are often linked to disease.

Capable of analysing sequences up to a million base-pairs long, AlphaGenome uses advanced deep learning techniques to forecast thousands of molecular properties, such as RNA production, protein binding, and gene expression across different tissues. Trained on vast public datasets like ENCODE and GTEx, the model offers researchers an unprecedented window into how DNA mutations influence health and disease. AlphaGenome is expected to drive major breakthroughs in genomics, personalised medicine, and drug discovery.

Wimbledon defies tradition

Wimbledon, in its 148th edition, has completely phased out traditional line judges, becoming the last Grand Slam to embrace full automation for line calls. The All England Club has adopted Hawk-Eye’s Live Electronic Line Calling (ELC) system, replacing human calls with real‑time, automated decisions announced via prerecorded court voices.

Wimbledon has a unique place in the global tennis calendar, with players and fans attracted by the hallowed traditions of the All England Club, from players wearing all white to strawberries and creme being served in the stands. However, the decision has been met with stark criticism. Bill Jinks, technology director at the All England Club, responded: "You can't do that [develop the sport] without technological innovation. We wouldn't have remained at the pinnacle of the sport without that technological innovation to keep us there."

Meta poaches top talent from OpenAI

The race for superintelligence is well and truly on, and it seems Mark Zuckerberg is stopping at nothing to make sure Meta is the first company to deliver it. He has launched an elite “superintelligence” team, personally scouting and poaching top researchers – some enticed with reported jaw-dropping seven- to nine-figure packages – while laying out a secretive shortlist dubbed "The List". As part of this push, Meta invested $14.3 billion for a 49% stake in Scale AI and recruited its 28-year-old founder, Alexandr Wang, to lead the new lab directly under Zuckerberg’s wing.

They have recruited four OpenAI artificial intelligence researchers, Shengjia Zhao, Jiahui Yu, Shuchao Bi and Hongyu Ren, bringing the total of recent poached employees to eight.

Once again, the AI sphere is moving at an incredible rate and the world is changing, therefore it is imperative to stay up to date with all developments in the field. You can read the previous months' AI reviews here.