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 ...

MIT researchers achieved 61.9% on ARC tasks by updating model parameters during inference. Is this key to AGI? We might reach the 85% AGI doorstep by scaling and integrating it with COT (Chain of ...

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 ...

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 ...

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 ...

Google DeepMind’s recent research offers a fresh perspective on optimizing large language models (LLMs) like OpenAI’s ChatGPT-o1. Instead of merely increasing model parameters, the study emphasizes ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A new paper by researchers from Google Research and the University of ...

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, ...