Syncing The Two Clocks: Closing The Gap Between AI’s Pace And Your Organization’s Readiness

Syncing the two clocks isn’t about predicting AI’s future. It’s about preparing your organization to keep pace.
VentureBeat

How test-time scaling unlocks hidden reasoning abilities in small language models (and allows them to outperform LLMs)

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Very small language models (SLMs) can ...
VentureBeat

When AI reasoning goes wrong: Microsoft Research shows more tokens can mean more problems

Large language models (LLMs) are increasingly capable of complex reasoning through “inference-time scaling,” a set of techniques that allocate more computational resources during inference to generate ...
Ars Technica

New Apple study challenges whether AI models truly “reason” through problems

In early June, Apple researchers released a study suggesting that simulated reasoning (SR) models, such as OpenAI’s o1 and o3, DeepSeek-R1, and Claude 3.7 Sonnet Thinking, produce outputs consistent ...
Hosted on MSN

Thinking AI models collapse in face of complex problems, Apple researchers find

Just days ahead of the much-anticipated Worldwide Developer Conference (WWDC), Apple has released a study titled “The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning ...