#ThariqShihipar advocates for using #HTML over #Markdown as an #outputformat for #Claude, highlighting its ability to include SVG diagrams, interactive widgets, and in-page navigation. This approach can enhance the clarity and presentation of information, as demonstrated by a request for an HTML explanation of a Linux security exploit. https://simonwillison.net/2026/May/8/unreasonable-effectiveness-of-html/?AIagents.at #AIagent #AI #ML #NLP #LLM #GenAI
Using Claude Code: The Unreasonable Effectiveness of HTML

Thought-provoking piece by Thariq Shihipar (on the Claude Code team at Anthropic) advocating for HTML over Markdown as an output format to request from Claude. The article is crammed with โ€ฆ

Simon Willisonโ€™s Weblog

HackerNewsTop5 (@hackernewstop5)

ํฌ๋ฅดํˆฌ๊ฐˆ์–ด LLM์˜ ๋ฏธ๋ž˜๋ฅผ ๋‹ค๋ฃฌ ๊ธ€๋กœ, ์œ ๋Ÿฝ ํฌ๋ฅดํˆฌ๊ฐˆ์–ด์— ํŠนํ™”๋œ Amรกlia ๋ชจ๋ธ๊ณผ ๊ด€๋ จ ์ƒํƒœ๊ณ„๊ฐ€ ์†Œ๊ฐœ๋๋‹ค. ์˜์–ด ์ค‘์‹ฌ LLM ํ๋ฆ„์—์„œ ๋ฒ—์–ด๋‚˜ ์ง€์—ญ ์–ธ์–ด์šฉ ๋ชจ๋ธ ๊ฐœ๋ฐœ์˜ ํ•„์š”์„ฑ๊ณผ ๊ฐ€๋Šฅ์„ฑ์„ ๊ฐ•์กฐํ•œ ์˜๋ฏธ ์žˆ๋Š” ์—ฐ๊ตฌ/๋ชจ๋ธ ๋…ผ์˜๋‹ค.

https://x.com/hackernewstop5/status/2053870741314322657

#llm #portuguese #nlp #amalia #openai

HackerNewsTop5 (@hackernewstop5) on X

Amรกlia and the Future of European Portuguese LLMs #HackerNews https://t.co/ftkRYSaXYs

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#DanIves predicts the #Nasdaq will reach 30,000 points in the next year, driven by the #AI #rally and a strong tech earnings season. He believes the #AIrevolution is in its early stages and will continue for another two years, fuelled by the demand for memory chips and the broader #AIinfrastructure buildout. https://www.cnbc.com/2026/05/11/the-haters-will-hate-dan-ives-predicts-nasdaq-rally.html?AIagents.at #AIagent #AI #ML #NLP #LLM #GenAI

๐Ÿšจ New Article - Plagiarism Ex Machina: Structural Appropriation in Large Language Models

This article examines the transformation of human-authored textual corpora into predictive generative capacity without transparent source attribution.

๐Ÿ”—https://https://zenodo.org/records/20070859

#LLM #MedicalNLP #LegalTech #MedTech #AIethics #AIgovernance #cryptoreg
#healthcare #ArtificialIntelligence #NLP #aifutures #LawFedi #lawstodon
#tech #finance #business #agustinvstartari #medical #linguistics #ai #LRM

RE: https://toot.cafe/@baldur/116550228055233931

> If this had been a real dataset, groups with no discernible differences could easily have ended up being reported as wildly divergent, purely based on the underlying large language modelโ€™s pre-existing notions of what different demographic groups are like.

Thatโ€™s why human validation needs to be a part of any serious application of large language models in #NLP.

๐Ÿšจ New Article - Plagiarism Ex Machina: Structural Appropriation in Large Language Models

This article examines the transformation of human-authored textual corpora into predictive generative capacity without transparent source attribution.

๐Ÿ”—https://https://zenodo.org/records/20070859

#LLM #MedicalNLP #LegalTech #MedTech #AIethics #AIgovernance #cryptoreg
#healthcare #ArtificialIntelligence #NLP #aifutures #LawFedi #lawstodon
#tech #finance #business #agustinvstartari #medical #linguistics #ai #LRM

Plagiarism Ex Machina: Structural Appropriation in Large Language Models

The transformation of human-authored textual corpora into predictive generative capacity without transparent source attribution or recoverable provenance. The paper shifts the AI plagiarism debate from copying and memorization toward structural appropriation, recombinative authorship, and generative provenance. Large language models introduce a form of plagiarism that cannot be reduced to verbatim copying or copyright infringement. Their central operation is structural appropriation: the absorption, recombination, and redeployment of human intellectual labor under conditions of referential opacity and attribution collapse. Structural appropriation; Recombinative plagiarism; Referential opacity; Attribution collapse; Synthetic originality; Predictive authorship; Latent intellectual debt; Corpus parasitism; Invisible intellectual labor; Generative provenance.  

Zenodo

fly51fly (@fly51fly)

์–ธ์–ด๋ชจ๋ธ์˜ surprisal(๋†€๋ผ์›€๋„)์™€ ์€์œ ์˜ ์ƒˆ๋กœ์›€ ์‚ฌ์ด์˜ ๊ด€๊ณ„์—์„œ โ€˜frequency confoundโ€™๋ฅผ ๋‹ค๋ฃฌ ๋…ผ๋ฌธ์ด ๊ณต๊ฐœ๋๋‹ค. Bielefeld University ์—ฐ๊ตฌ์ง„์˜ 2026๋…„ arXiv ๋…ผ๋ฌธ์œผ๋กœ, ์€์œ  ํ‰๊ฐ€์™€ ์–ธ์–ด๋ชจ๋ธ ํ•ด์„์— ์ค‘์š”ํ•œ ์‹œ์‚ฌ์ ์„ ์ค„ ์ˆ˜ ์žˆ๋‹ค.

https://x.com/fly51fly/status/2052867984281289152

#llm #nlp #arxiv #linguistics #research

fly51fly (@fly51fly) on X

[CL] The Frequency Confound in Language-Model Surprisal and Metaphor Novelty O Momen, S ZarrieรŸ [Bielefeld University] (2026) https://t.co/nAreO4XOOD

X (formerly Twitter)

CancionesCortasIA (@CancionesChorri)

Zipf ๋ฒ•์น™๊ณผ ์ธ๊ฐ„ ์–ธ์–ด์˜ ์ค‘๋ณต์„ฑ์ด ์ž„๋ฒ ๋”ฉ ๋ถ•๊ดด๋ฅผ ์œ ๋ฐœํ•œ๋‹ค๋ฉด, ๊ธฐํ•˜ ๊ตฌ์กฐ๋ฅผ ์ œ์–ดํ•  ์ˆ˜ ์žˆ๋Š” ์ƒ์ง•์  ํ”„๋กœํ† ์ฝœ์„ ์„ค๊ณ„ํ•ด ์‚ฌ์‹ค, ํ–‰๋™, ๋…ผ๋ฆฌ ๊ตฌ์กฐ๋ฅผ ๋ถ„๋ฆฌํ•œ ์š”์ธํ™” ํ‘œํ˜„์„ ๋งŒ๋“œ๋Š” ๊ฒƒ์ด ์ข‹๊ฒ ๋‹ค๋Š” ์•„์ด๋””์–ด๋ฅผ ์ œ์‹œํ•œ๋‹ค. AI ํ‘œํ˜„ํ•™์Šต๊ณผ ์ž„๋ฒ ๋”ฉ ์„ค๊ณ„์— ๊ด€ํ•œ ๊ธฐ์ˆ ์  ์ œ์•ˆ์ด๋‹ค.

https://x.com/CancionesChorri/status/2052869230614261916

#embeddings #representationlearning #llm #symbolicai #nlp

CancionesCortasIA (@CancionesChorri) on X

@anirudhbv_ce @OpenAI @GeminiApp @sentra_app โ€œIf the collapse comes from Zipf and human-language redundancy, wouldnโ€™t it make sense to design a symbolic protocol for embeddings where geometry is controlled? Something like a factored representation: ๐ŸŒ€ Concept โ†—๏ธ Action ๐Ÿ”ท Logical structure

X (formerly Twitter)
When AI learns from translations rather than local speech data, it picks up the biases built into those translations. Brazilian researchers argue that locally collected, annotated linguistic data could reduce that distortion.
https://doi.org/10.25189/2675-4916.2025.V6.N4.ID863
#linguistics #NLP
๐Ÿ”Ž๐Ÿค– How does generative AI change web search?
At #ACL2026 ๐Ÿ‡บ๐Ÿ‡ธ, AISOC presents research on:
๐Ÿ“„ generative vs. traditional search
๐ŸŒ source selection & diversity
โš–๏ธ transparency & trust
๐Ÿ’ก Key point: AI doesnโ€™t just retrieve information โ€“ it reshapes what users see.
https://rc-trust.ai/news/news-detail/how-generative-ai-is-changing-web-search
#TrustworthyAI #NLP #MachineLearning #AIResearch #DigitalSociety