The serial entrepreneur Wayne Chang is taking the wraps off an AI reasoning engine called Reasoner, which he claims can produce much more accurate and explainable results than large language models (LLMs) such as OpenAI’s o1 series—and at a much lower cost.
The AI industry is pushing hard to build reasoning capabilities into the technology, partly to draw closer to the holy grail of human-level or superhuman artificial intelligence, and partly just to overcome the inaccuracies that plague today’s LLMs. Generative AI’s so-called hallucinations are a major factor in holding back enterprise deployments, as is the impossibility of explaining how an LLM arrives at its conclusions.
