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 ...

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 ...

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 ...

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 ...

Researchers introduce BATS and Budget Tracker, two new methods that help agents prioritize high-value actions, cutting API costs by over 30% while boosting accuracy.

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 ...

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 ...

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, ...

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 ...