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LLMs (Large Language Models) are a type of artificial intelligence (AI). The term AI encompasses a vast array of technologies and systems, extending from the automated spam filters in your email inbox to the Amazon Alexa on your kitchen counter and even to the advanced self-driving features found in cars like the Tesla.

LLMs belong to a sub-branch of AI called Machine Learning (ML), which describes a set of techniques that allow computers to learn behaviors without specific instructions or rules. ML involves giving a model a large amount of information and allowing it to infer patterns and make predictions or decisions autonomously based on what in that data.

Yesterday, OpenAI announced their upcoming plans to launch a new GPT agent* platform. There have been add-on solutions for building GPT agents for months now, but OpenAI’s new system will notably increase stability and lower barriers to entry for GPT-based projects. This offers companies and developers the ability to integrate and build upon ChatGPT's framework.

The newfound accessibility is a double-edged sword. On one hand, it’ll accelerate the rate of innovation, enabling a wider pool of people to harness the available technology without reinventing the wheel. But we do find ourselves worrying that it may stifle the development of other models.

The concern isn't just theoretical—it has practical implications for market competition, creativity, and even resilience. A market with varied competitors is less prone to single points of failure and more likely to inspire out-of-the-box solutions. More consolidation also means that a handful of big companies will direct the way the technology advances.

I’m sure that we’ll love some of the things that get built on OpenAI’s new system, but it's worth meditating on the value of a more distributed market. It's this kind of diversity that will ultimately propel the field forward while maintaining opportunities for choice.