Ensuring variety in the AI-native era
Dr Yichuan Zhang, CEO and co-founder of Boltzbit, examines the flaws in the market being dominated by homogenous AI foundation models- and how variety is necessary for the AI-native era. A future where we achieve artificial general intelligence (AGI) is perhaps not quite as dystopian as one might think. AI has already proved to be one of the most powerful accelerators of human progress over the past few years, and we are already seeing exciting signals of just what is possible. Researchers are making headway on finding solutions to problems that have puzzled us for decades. Nuclear fusion, long being thought of as being always 30 years away, is now being modelled and optimised with AI in ways that materially change the pace of experimentation. If this trajectory continues, the implications extend far beyond energy into climate modelling, resource optimisation, and other global challenges. The more immediate question, however, is not whether AI will deliver breakthroughs, but who will benefit from them. And, crucially, who gets to build with them. At present, the answer is …


