Source: Hackaday
The competitive advantages that early LLM leaders like OpenAI built—superior training data, architectural innovations, computational scale—are eroding faster than previous technology cycles because the underlying techniques are becoming commodified through open-source models, cheaper compute, and published research that any well-funded team can replicate. Future AI dominance will depend less on model quality and more on distribution, user lock-in through applications, and access to proprietary data streams. Companies recognizing this shift early—like Meta releasing Llama—are positioning themselves around ecosystem control rather than model gatekeeping.