For years, it seemed obvious that the best way to scale up artificial intelligence models was to throw more upfront computing resources at them. The theory was that performance improvements are ...

Last month, AI founders and investors told TechCrunch that we’re now in the “second era of scaling laws,” noting how established methods of improving AI models were showing diminishing returns. One ...

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 ...

OpenAI's recent o3 breakthrough signals massive demand for Nvidia Corporation's inference GPUs in the coming years. Nvidia now has two major vectors of scaling to pull demand from, which are ...

Forbes contributors publish independent expert analyses and insights. I am an MIT Senior Fellow & Lecturer, 5x-founder & VC investing in AI It seems like almost every week or every month now, people ...

Technology trends almost always prioritize speed, but the latest fad in artificial intelligence involves deliberately slowing chatbots down. Machine-learning researchers and major tech companies, ...

Jim Fan is one of Nvidia’s senior AI researchers. The shift could be about many orders of magnitude more compute and energy needed for inference that can handle the improved reasoning in the OpenAI ...

Google on Wednesday said it has adapted its Gemini 2.0 large language model artificial intelligence offering to make it generate novel scientific hypotheses in a fraction of the time taken by teams of ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I analyze the recent AI-industry groupthink ...

For much of the AI era, intelligence has been on-demand: a user issues a prompt, and the model responds after reasoning through the request. But as AI systems grow more autonomous and expectations ...