Forbes February 28, 2025
Gerui Wang

A fresh wave of large language models are battling for attention. OpenAI’s GPT-4.5, Anthropic’s Claude 3.7, xAI’s Grok 3, Tencent’s Hunyuan Turbo S and the possible early arrival of DeepSeek’s latest model are vying to redefine how we work, communicate, access information and even shape global power dynamics.

At the center of this escalating competition arises a new problem: can AI models become smarter, faster and cheaper at the same time? The emergence of DeepSeek R1 signals that the future of AI might not belong to the largest or most data-hungry models — but to those that master data efficiency by innovating machine learning methods.

From Heavy to Lean AI: A Parallel to Computing History

This shift toward efficiency echoes...

Today's Sponsors

Venturous
Got healthcare questions? Just ask Transcarent

Today's Sponsor

Venturous

 
Topics: AI (Artificial Intelligence), Technology
AI Assistants: Empowering Allies Or Risky Confidants?
Resiliency In The Digital Age: The Three Pillars Of Modern AIOps
Unlocking AI’s Potential: The Critical Role Of Precision Data Capture
What’s next for AI agents? 4 trends to watch in 2025
The Future Of AI: Real-Time, Adaptive And Scalable

Share This Article