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research#llm📝 BlogAnalyzed: Jan 18, 2026 02:15

AI Poet Zunda-mon Crafts Engineering Philosophy from Future Search History!

Published:Jan 18, 2026 02:01
1 min read
Qiita AI

Analysis

This is a fun and creative application of ChatGPT! The idea of using AI to analyze future search history and generate a poem expressing an engineering philosophy is incredibly innovative and showcases the versatility of LLMs.
Reference

Zunda-mon: "I was bored during the New Year, so I had ChatGPT summarize the search history of 2025!"

Safety#LLM🔬 ResearchAnalyzed: Jan 10, 2026 10:26

Adversarial Versification as a Jailbreak Technique for Large Language Models

Published:Dec 17, 2025 11:55
1 min read
ArXiv

Analysis

This research investigates a novel approach to circumventing safety protocols in LLMs by using adversarial versification. The findings potentially highlight a vulnerability in current LLM defenses and offer insights into adversarial attack strategies.
Reference

The study explores the use of Portuguese poetry in adversarial attacks.

Research#AI Poetry🔬 ResearchAnalyzed: Jan 10, 2026 10:49

AI-Generated Poetry and the Legacy of Gödel

Published:Dec 16, 2025 10:00
1 min read
ArXiv

Analysis

The article's connection between AI-generated poetry and Gödel's work requires careful examination, especially the extent to which his theorems on incompleteness are relevant. Further analysis is needed to determine the depth of the AI's understanding of either poetic form or Gödel's complex arguments.
Reference

The article is sourced from ArXiv, indicating a research-oriented context.

Research#AI Rhetoric🔬 ResearchAnalyzed: Jan 10, 2026 13:07

Unveiling AI's Voice: A Deep Dive into Poetic Prompting

Published:Dec 4, 2025 20:41
1 min read
ArXiv

Analysis

This ArXiv paper explores how poetic prompting can be used to understand and potentially influence the rhetorical strategies employed by AI models. The study's focus on interpreting AI communication through creative methods offers a novel perspective on AI research.
Reference

The study's source is ArXiv, indicating it's a pre-print paper, likely undergoing peer review.

Research#poetry🔬 ResearchAnalyzed: Jan 10, 2026 14:12

AI vs. Human Poetry: A Czech Study on Reception

Published:Nov 26, 2025 17:53
1 min read
ArXiv

Analysis

This ArXiv paper investigates the reception of poetry written by AI versus humans. It offers valuable insights into how readers perceive the authorship of creative text generated by artificial intelligence, particularly in the Czech language context.
Reference

The study focuses on Czech AI- and human-authored poetry.

Research#LLM🔬 ResearchAnalyzed: Jan 10, 2026 14:35

Adversarial Poetry: A New Single-Turn Jailbreak for Large Language Models

Published:Nov 19, 2025 10:14
1 min read
ArXiv

Analysis

This research explores a novel method of jailbreaking Large Language Models (LLMs) using adversarial poetry. The paper likely details the effectiveness and potential vulnerabilities introduced by this poetry-based attack strategy, contributing to our understanding of LLM security.
Reference

The research focuses on a single-turn jailbreak mechanism, suggesting a potentially highly efficient attack.

Research#Multimodal🔬 ResearchAnalyzed: Jan 10, 2026 14:40

AI Bridges: Multimodal Translation and Image Generation for Indian Poetry

Published:Nov 17, 2025 18:41
1 min read
ArXiv

Analysis

This ArXiv paper explores the use of AI for a culturally specific task, highlighting the potential and challenges of multimodal approaches. The research's focus on Indian poetry translation and image generation provides a valuable case study for applying AI in cross-cultural communication.
Reference

The paper investigates multimodal approaches to Indian poetry translation and image generation.

Research#llm📝 BlogAnalyzed: Dec 29, 2025 06:07

Exploring the Biology of LLMs with Circuit Tracing with Emmanuel Ameisen - #727

Published:Apr 14, 2025 19:40
1 min read
Practical AI

Analysis

This article summarizes a podcast episode discussing research on the internal workings of large language models (LLMs). Emmanuel Ameisen, a research engineer at Anthropic, explains how his team uses "circuit tracing" to understand Claude's behavior. The research reveals fascinating insights, such as how LLMs plan ahead in creative tasks like poetry, perform calculations, and represent concepts across languages. The article highlights the ability to manipulate neural pathways to understand concept distribution and the limitations of LLMs, including how hallucinations occur. This work contributes to Anthropic's safety strategy by providing a deeper understanding of LLM functionality.
Reference

Emmanuel explains how his team developed mechanistic interpretability methods to understand the internal workings of Claude by replacing dense neural network components with sparse, interpretable alternatives.

Alex Garland: Ex Machina, Devs, Annihilation, and the Poetry of Science

Published:Mar 3, 2020 16:07
1 min read
Lex Fridman Podcast

Analysis

This podcast episode from the Lex Fridman Podcast features a conversation with Alex Garland, a writer and director known for his thought-provoking science fiction works. The discussion centers around Garland's films and series, including "Ex Machina," "Devs," and "Annihilation," exploring themes of artificial intelligence, consciousness, and the intersection of science and imagination. The episode is timed to coincide with the release of Garland's new series, "Devs." The podcast also provides links to related resources and information about the podcast itself.
Reference

Alex Garland is a writer and director of many imaginative and philosophical films from the dreamlike exploration of human self-destruction in the movie Annihilation to the deep questions of consciousness and intelligence raised in the movie Ex Machina, which to me is one of the greatest movies on artificial intelligence ever made.

Research#llm👥 CommunityAnalyzed: Jan 4, 2026 07:35

GPT-2 Neural Network Poetry

Published:Nov 5, 2019 20:37
1 min read
Hacker News

Analysis

This article discusses poetry generated by the GPT-2 neural network. The focus is likely on the creative capabilities of the model and its ability to generate text in a specific style. The source, Hacker News, suggests a tech-focused audience interested in AI and natural language processing.

Key Takeaways

    Reference

    Research#AI in Creative Tools📝 BlogAnalyzed: Dec 29, 2025 17:48

    Gavin Miller: Adobe Research on the Lex Fridman Podcast

    Published:Jun 10, 2019 19:12
    1 min read
    Lex Fridman Podcast

    Analysis

    This article summarizes a discussion with Gavin Miller, the Head of Adobe Research, on the Lex Fridman Podcast. It highlights Adobe's long-standing role in providing creative software like Photoshop and Premiere. The core focus is on Adobe Research's efforts to leverage deep learning to improve these tools, automating tedious tasks and freeing up creatives to focus on ideation. The article emphasizes Miller's unique blend of technical expertise and creative pursuits, mentioning his poetry and robotics work. The article serves as a brief introduction to the topic and directs readers to the podcast for more in-depth information.
    Reference

    Adobe Research is working to define the future evolution of these products in a way that makes the life of creatives easier, automates the tedious tasks, and gives more & more time to operate in the idea space instead of pixel space.

    Research#llm📝 BlogAnalyzed: Dec 29, 2025 08:35

    Experimental Creative Writing with the Vectorized Word - Allison Parish - TWIML Talk #72

    Published:Nov 24, 2017 17:00
    1 min read
    Practical AI

    Analysis

    This article summarizes a podcast episode featuring Allison Parrish, a poet and professor at NYU, discussing her work in AI-generated poetry. The episode, recorded at the Strange Loop conference, covers Parrish's research into computational poetry, her performances of AI-produced poetry, and the methods she employs. The focus is on the intersection of artificial intelligence, machine learning, and creative writing, highlighting the practical application of these technologies in artistic expression. The article provides a brief overview of the discussion, hinting at the technical aspects and creative outcomes of Parrish's work.
    Reference

    Allison’s work centers around generated poetry, via artificial intelligence and machine learning.