Interviewing CEO & Founder, Ben Jaletzke Ben and I head over to a Battersea pub for an informal interview about the origins of Felix Research, the mission driving it and the industrial pain points that inform Ben’s approach to product building. We are joined by James (CCO & co-founder)
Who has the right to create or “create”? My CEO sent me a quote tweet (or Xeet, or post, or whatever the correct nomenclature currently is) about Nano Banana and AI in general and told me to blog about it. The tweet: This is a Xeet after all, so we’
"I cannot define it, but I know it when I see it." This is something we're all distinctly familiar with, and it's becoming increasingly relevant in the age of AI. As various models approach (and often surpass) human capabilities in numerous domains, it'
Every day brings another wave of AI-generated reports, analyses and summaries, promising insight but delivering an uncanny simulacrum of some other familiar output. As volume grows, discernment declines; what remains is what we may call AI slop. This phrase captures a growing problem in modern information work: content that appears
Why Financial Research Needs More Than Just LLMs Financial research cannot rely on LLMs alone. Moving from big data to smart data means combining language models with reasoning and BI principles to deliver insights that are rigorous, transparent and decision-ready. The institutions that make this shift will be better equipped
Artificial intelligence has moved from being a sector of investment to a practical toolkit that private equity firms are using across the deal lifecycle. From sourcing and due diligence through to value creation and exit planning, AI is influencing how funds operate and where they expect to capture value. Over
A new MIT study shows again that AI is not a panacea for stalled revenue or lost competitiveness, as some have claimed. This paired with IBM’s recent CEO Study, shows a clear message is emerging to the myriad stakeholders in enterprise AI; whilst generative AI has become a strategic
The idea that technology should amplify, not substitute, human intelligence isn't new. It was first proposed in 1960 by American psychologist and computer scientist J.C.R. Licklider in his seminal paper “Man-Computer Symbiosis”. Licklider envisioned a future in which humans and machines would form close working partnerships,
The term “Augmented Intelligence” may sound like just another tech buzzword, but its origins speak to something deeper: a belief that AI should amplify human capabilities, not replace them. The concept is about using AI to support and enhance human expertise. It's not about handing over control, but
