Essential AI News from 8/25-8/29
This week's essential AI news provides insight into various types of market potential: Meta shared the adoption rate of its open-source Llama 3.1, Honeywell shared 16 GenAI applications in production, and Cerebras revealed its AI-wafer at one-fifth the cost and 22x faster than NVIDIA's H100.
With 10x growth since 2023, Llama is the leading engine of AI innovation: Meta's Llama is an open-source alternative in the AI space that had an impressive 10X growth since Llama 3.1 release this summer. The analysts highlighted the strategic importance of Meta’s partnerships with major players like Microsoft, Google Cloud, and Nvidia, framing Llama as a potential leader challenging the dominance of closed models like those from OpenAI.
Why Honeywell has placed such a big bet on gen AI: Honeywell’s comprehensive adoption of Generative AI across its enterprise, including training 95,000 employees and implementing 16 AI applications in production, is of value as an impressive use case of how GenAI can be implemented across enterprise. The discussion underscored Honeywell as a prime example of a legacy company successfully integrating AI at scale, demonstrating best practices in AI deployment that are vital for any organization looking to modernize with AI.
OpenAI and Anthropic will share their models with the US government: This article is essential as it discusses a groundbreaking move where OpenAI and Anthropic agree to share their models with the U.S. government. The conversation focused on the potential regulatory implications and how this could influence the future of AI governance. This voluntary sharing is seen as a critical step in shaping the regulatory framework, impacting how AI models are deployed and trusted in regulated industries.
When A.I.’s Output Is a Threat to A.I. Itself This article provides a good overview of a scenario when synthetic data is used and reused in AI model training leading to the model collapse. The issue is not new and many approaches are being developed to address it. We rated this article as essential so that AI leaders are aware of the issue and can respond to the nay-Sayers.
Introducing Cerebras Inference: AI at Instant Speed Cerebras' breakthrough AI wafer offers a 22x Llama 3.1 70B inference speed improvement at one-fifth the cost compared to NVIDIA H100 Cloud chips. This development is a significant challenge to NVIDIA's dominance in the AI hardware market, providing a viable alternative for enterprises focused on reducing inference costs and improving speed. Given its potential to disrupt the AI hardware space, this article is critical for AI leaders to understand the evolving landscape.