Are reasoning models fundamentally flawed?
AI reasoning models have emerged in the past year as a beacon of hope for large language models (LLMs), with AI developers such as OpenAI, Google, and Anthropic selling them as the go-to solution for solving the most complex business problems.
However, a new research paper by Apple has cast significant doubts on the efficacy of reasoning models, going as far as to suggest that when a problem is too complex, they simply give up. What's going on here? And does it mean reasoning models are fundamentally flawed?
In this episode, Rory Bathgate speaks to ITPro's news and analysis editor Ross Kelly to explain some of the report's key findings and what it means for the future of AI development.
The ITPro Podcast
The ITPro Podcast is a weekly show for technology professionals and business leaders. Each week hosts Rory Bathgate and Jane McCallion are joined by an expert guest to take a deep dive into the most important issues for the IT community. New episodes premiere every Friday. Visit itpro.com/uk/the-it-pro-podcast for more information, or follow ITPro on LinkedIn for regular updates.
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- Latest episode: 2025-06-27
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