Thinking Machines drops a new, highly responsive model designed for humanlike interactions in real time - SiliconANGLE

AI is entering its diffusion phase, and the microeconomic pressures driving that transition are operating with unusual speed.

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to insights, and supporting a growing range of workloads.

Though large language models remain popular, IT decision-makers are increasingly trying out smaller, open models that may be a better fit for enterprise AI needs.

New work explaining the inner workings of artificial intelligence could provide a way around the threat of AI "model collapse," potentially averting growing numbers of AI hallucinations in the future.