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business#llm📝 BlogAnalyzed: Jan 13, 2026 04:00

Gemini Now Affordable: A User's Shift to Paid AI Services

Published:Jan 13, 2026 03:53
1 min read
Qiita AI

Analysis

The article highlights the growing trend of users transitioning from free to paid AI services, a pivotal shift for the industry's sustainability. This user's choice to adopt Gemini Pro reflects the value proposition of premium features and potential market dynamics.

Key Takeaways

Reference

“The author, previously a proponent of free AI tools, decided to subscribe to Gemini with an annual Google AI Pro plan.”

PermalinkQiita AI
Research#llm📝 BlogAnalyzed: Dec 26, 2025 12:53

Summarizing LLMs

Published:Dec 26, 2025 12:49
1 min read
Qiita LLM

Analysis

This article provides a brief overview of the history of Large Language Models (LLMs), starting from the rule-based era. It highlights the limitations of early systems like ELIZA, which relied on manually written rules and struggled with the ambiguity of language. The article points out the scalability issues and the inability of these systems to handle unexpected inputs. It correctly identifies the conclusion that manually writing all the rules is not a feasible approach for creating intelligent language processing systems. The article is a good starting point for understanding the evolution of LLMs and the challenges faced by early AI researchers.
Reference

“ELIZA (1966): People write rules manually. Full of if-then statements, with limitations.”

PermalinkQiita LLM
Research#llm🔬 ResearchAnalyzed: Jan 4, 2026 09:34

The Ontological Dissonance Hypothesis: AI-Triggered Delusional Ideation as Folie a Deux Technologique

Published:Nov 27, 2025 22:46
1 min read
ArXiv

Analysis

This article proposes a provocative hypothesis, suggesting that interaction with AI could lead to shared delusional beliefs, akin to Folie à Deux. The title itself is complex, using terms like "ontological dissonance" and "Folie à Deux Technologique," indicating a focus on the philosophical and psychological implications of AI interaction. The research likely explores how AI's outputs, if misinterpreted or over-relied upon, could create shared false realities among users or groups. The use of "ArXiv" as the source suggests this is a pre-print, meaning it hasn't undergone peer review yet, so the claims should be viewed with caution until validated.
Reference

“The article likely explores how AI's outputs, if misinterpreted or over-relied upon, could create shared false realities among users or groups.”

PermalinkArXiv