Can AI chatbots make mistakes? Discover how and why chatbots make mistakes, and what it means for users and businesses| Clepher
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the Apple AI paper and critical lessons for effective prompting, plus a deep dive into reasoning models. You’ll learn what reasoning models are and why they sometimes struggle with complex tasks, especially when dealing with contradictory information. You’ll discover crucial insights [...]Read More... from In-Ear Insights: How Generative AI Reasoning Models Work| Trust Insights Marketing Analytics Consulting
AI fails 99% of FormulaOne challenges, exposing gaps in deep reasoning. Discover what this means for future AI research and why it matters.| Blue Headline
ChatGPT’s 82% accuracy in coding basics is promising, but its limitations make it unfit for classrooms. Explore the strengths, risks, and best practices for using AI in education.| Blue Headline
How I built and shipped 3 projects using LLMs—what worked, where it broke, and why specs, not code, are the future of software development.| Yusuf Aytas