Intro Prediction markets such as Polymarket and Kalshi sit uncomfortably between finance, gaming, gambling and information markets. Their recent growth has less to do with regulatory blind spots and more to do with a genuine categorisation problem. These platforms do not map cleanly onto existing regimes and that ambiguity has
Intro Artificial Intelligence enters 2026 with less novelty and greater consequence. Over the past eighteen months, the focus has shifted away from demonstrations of capability and towards questions of governance, accountability and institutional readiness. This period has been marked by a steady accumulation of regulatory signals, from the EU AI
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