A timeline of claims about AI/LLMs (blog.nethuml.xyz)

A comprehensive timeline detailing varying claims about AI and large language models (LLMs) has been published, highlighting major predictions over the past few years regarding the future of AI, particularly its impact on jobs and programming. Notably, figures like Emad Mostaque, CEO of Stability AI, projected that programmers would be obsolete within five years, while Microsoft AI's Mustafa Suleyman claimed LLM hallucinations would be largely resolved by 2025. Many of these claims, however, have not materialized, prompting discussions about the overhyped expectations surrounding AI advancements, especially in replacing complex job roles like software engineering. The significance of this timeline for the AI/ML community lies in its reflection of the discrepancies between optimistic projections and the current capabilities of AI technologies. While LLMs have demonstrated potential in assisting programming tasks, experts indicate that full automation is still far from realization. Several notable voices, including Andrew Ng and Kevin Scott, emphasize a more cautious approach to the advancements of AI, suggesting that while LLMs can augment tasks, they cannot yet entirely replace the nuanced understanding and creativity inherent to human roles. This timeline serves as a critical resource for understanding the evolution of AI expectations and provides context for ongoing debates about AI's role in the workplace.