The initial hype surrounding generative AI and large language models has shifted as the challenges of reliable deployment become apparent. While rapid commercialization and high valuations initially followed impressive demonstrations of AI capabilities, a growing focus is now on ensuring determinism and trustworthiness, leading to two distinct approaches: vertical AI solutions and companies focused on enforcing AI determinism. Ultimately, a pragmatic path forward involves making AI processes auditable and empowering humans with AI rather than pursuing fully autonomous systems.
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