After two years of intense public discussion, 2025 is shaping up to be a period of stabilization for the AI industry, particularly for Large Language Model (LLM)-based token prediction. The initial anxieties and grand predictions surrounding AI models, which dominated conversations in 2023 and 2024, appear to be tempered by a growing sense of realism.

The prevailing sentiment suggests that while current AI technologies offer significant utility, they are also demonstrably flawed and susceptible to errors. This perspective, however, is not universally accepted. Substantial financial investments and persuasive arguments continue to support the notion of a revolutionary, transformative trajectory for AI.

The timeline for such a radical shift, however, is consistently being extended, largely due to a consensus that further technological advancements are necessary. The early assertions of imminent artificial general intelligence (AGI) or superintelligence (ASI) have not vanished entirely, but are increasingly viewed as promotional tactics employed by venture capitalists.

Commercial foundational model builders are facing the challenge that, to be successful, they need to be more than just marketing hype.