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#Computing

8 posts8 participants0 posts today

The thing about "features" is that they aren't linear, they form a tree: *every* technical artifact--hell, every *line* of code--both satisfies some demands and (often) creates new ones.

Deciding which branches to follow, which to prune and when to do both is complex and ever-changing as the delivery system cycles demands...

Much of what's wrong with "product thinking" and "agile" today can be explained as a consequence of placing this responsibility in the hands of folks that neither understand this, nor are accountable to those who do.

#ai #openai #AiResearch #intelligence #computing #ArtificialGeneralIntelligence #innovation #deeplearning #programming #stablediffusion

I am looking for an endorsement for publishing on arXiv. We have worked tirelessly on a paper we believe needs to be seen. Below is a portion of the abstract:
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In this study, we document the spontaneous emergence of a rule-consistent linguistic system—termed Varunese—during sustained, high-context interaction with a large language model (LLM). Exhibiting internal phonetic regularity, recurring semantic motifs, and discernible morphological and syntactic organization, Varunese diverges markedly from stochastic generation patterns or known training artifacts. Through iterative translation and contextual inference, we uncovered dynamic, self-referential symbolic frameworks encoding states of transition, perception, and relational structure...