Jacob Parker-Bowles Fintech in Asia

  ChatGPT 5.0 (GPT-5): Capabilities, Uses, and Research Directions Abstract OpenAI’s GPT-5—now powering ChatGPT 5.0—marks a substantive step in large-scale, general-purpose reasoning systems. Beyond incremental accuracy gains, GPT-5 integrates “built-in thinking,” faster tool use, and agentic workflows that broaden real-world applicability across research, software, and operations. This article reviews what is known from primary releases, situates GPT-5 in the trajectory of LLM development, and outlines implications for enterprise adoption, safety, and future research. 1. Release overview and positioning OpenAI describes GPT-5 as its “smartest, fastest, most useful model yet,” available in ChatGPT and via API, with rollouts to Team/Enterprise/Edu and a Pro variant emphasising extended reasoning. These materials frame GPT-5 as a platform model intended to sit at the centre of knowledge work. ( OpenAI ) For developers, OpenAI highlights GPT-5 as “our best model yet for coding and ag...

  Introduction Artificial Intelligence (AI) has moved from pattern recognition to goal-directed behaviour . The shift is powered by agentic models —systems that don’t just predict the next token, but perceive, plan, act, and learn in pursuit of objectives. For businesses and researchers, this unlocks workflows that are too dynamic for rules engines and too open-ended for traditional machine learning. This article explains what agentic AI is, how it differs from earlier waves of AI, where it’s already producing impact, and what to expect over the next 12–24 months. What Are Agentic Models? An agentic model combines a large model (often an LLM) with a loop that lets it: Perceive : read data, files, APIs, or the current state of an environment. Plan : decompose goals into steps (task planning/tool selection). Act : call tools, write code, trigger workflows, or interact with users/systems. Reflect : analyse outcomes, update memory, and iterate. Typical Architecture...