M. Taalabi, Team LLM-DIPLOMAT · Zenodo (CERN European Organization for Nuclear Research) 2026 · 2026
DOI: 10.5281/zenodo.22971032
Counts differ because each database indexes a different set of publications. We treat OpenAlex as the canonical count; Google Scholar is not shown (no API, and crawling it violates its ToS).
The current paradigm of large language model research is a random walk through acombinatorial space too large to reason about directly. Progress is real but unsystematic:results are found by luck, swarmed by hundreds of follow-up papers, and abandoned when the next result appears. The field has engineering without science — no first principles, no predictive interpretability, no formal guarantees — and it is now hitting physical and conceptual walls simultaneously. This paper argues that the paradigm is not a foundation but a search heuristic, and that its continuation is guaranteed by funding incentives rather than by evidence of convergence. It is a position paper. It does not propose a solution. It names a stage.
No comments yet — start the discussion below.