The Surprising End of the AI Gigantic Model Era: Why Bigger Isn’t Always Better

Author(s): Cezary Gesikowski

Originally published on Towards AI.

OpenAI’s Sam Altman on why we need new ideas, not just bigger models, for AI’s future

“We are not here to like *erk ourselves off about parameter counts.”—Sam Altman

Image by the author: Large Language Models (LLMs) envisioned in Midjourney

Sam Altman, CEO of OpenAI, recently made a shocking revelation at an MIT event. He stated that the era of gigantic AI models, like GPT-4, is coming to an end. According to Altman, the future of AI requires new ideas and not just bigger models. This announcement is groundbreaking, considering how OpenAI’s Large Language Models (LLMs) have grown exponentially in size over the years:

GPT-2 (2019): 1.5 billion parametersGPT-3 (2020): 175 billion parametersGPT-4 (2023): amount undisclosed — but likely… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI