Experts predict that large language models (LLMs) like OpenAI's will become commoditized by 2025 due to advancements in AI agents and open-source technology. DeepSeek's R1 model, which surpasses OpenAI's o1 in cost and performance, exemplifies this trend. The shift towards agentic AI systems, capable of performing actions autonomously, is expected to transform how we interact with the web.
Executives at leading AI labs predict that large language models (LLMs) like those developed by OpenAI and major tech companies risk becoming commonplace by 2025. This shift is driven by rapid advancements in next-generation artificial intelligence agents and the emergence of agile, open-source rivals. Last week, Chinese AI firm DeepSeek unveiled R1, a reasoning model that claims superiority over OpenAI's o1 model in terms of both cost-effectiveness and performance.
Open-source refers to software whose source code is freely accessible on the internet, allowing for potential modifications and redistribution. This open-source approach is gaining traction, as investors express concerns about potential spending reductions on high-performance graphics processing units (GPUs) essential for training and running advanced AI workloads.Meanwhile, experts and researchers in leading AI labs are emphasizing a transition from LLMs to so-called 'AI agents.' These agents possess the capability to perform actions on your behalf. LLMs are the foundational technology behind today's generative AI applications. However, experts anticipate that the rise of agentic AI systems, which integrate LLM technology, will diminish the value of these standalone models. LLMs are projected to become more commoditized in the near future as the technology advances and the costs associated with training and utilizing them decline. Thomas Wolf, co-founder and chief science officer of Hugging Face, a popular repository for open-source AI projects, suggests that LLMs will be increasingly integrated into intelligent systems connected to the company's own databases. He believes the focus will shift from individual models to building sophisticated AI-powered systems. 'In the internet revolution, we're moving from building websites as the main business to actually building internet-native companies — so, the Airbnb of AI, the Stripe of AI,' he explained. 'They are not about the model. They are about the system and how you make the model useful for tasks.'DeepSeek's R1 incorporates several key features that distinguish it from other models. It utilizes a 'mixed precision' framework that combines both full-precision 32-bit floating point (FP32) numbers and low-precision 8-bit floating point (FP8) numbers. While FP8 is faster to process, it may sacrifice accuracy. However, DeepSeek leverages FP8 for most calculations and seamlessly switches to FP32 for tasks requiring higher precision.Matt Calkins, CEO of U.S. software firm Appian, argues that DeepSeek's success exemplifies the trend toward AI models becoming more commonplace. 'In my opinion, we're going to see a commoditization of AI. Many companies will achieve competitive AI, and a lack of differentiation will be bad for high-spending first-movers,' Calkins stated. The past two years have witnessed a surge in LLM-powered products, ranging from generative AI chatbots like OpenAI's ChatGPT to tools capable of creating images and videos. However, experts predict that the next generation of AI will involve agents capable of interacting with the world in a more autonomous and proactive manner. For instance, instead of merely providing information on nearby GP practices, as ChatGPT might do, the next generation of AI agents could autonomously find your nearest GP, present available appointment times, and even book an appointment on your behalf, all within a single platform. This shift promises to revolutionize the way we interact with the web. Bobby Blumofe, chief technology officer of Akamai, previously stated, 'Over the decades since the web was invented, the standard interface of webpages and menus hasn't really changed very much. We're sort of living in this tyranny of being tethered to a screen and being tethered to web pages and menus you have to remember how to navigate.'Arthur Mensch, CEO of Mistral, believes the focus should shift towards 'systems' that integrate both language models and contextual business data. 'That's that's where this is shifting,' Mensch emphasized during CNBC's coverage of the World Economic Forum's annual gathering in Davos, Switzerland
AI Artificial Intelligence Large Language Models (Llms) AI Agents Open-Source Deepseek R1 Commoditization Open-Source Software Hugging Face Chatgpt Generative AI Next-Generation AI
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