Will AI scoop your science? Some researchers see a gloomy future #Science #ComputerScience #airesearch #languagemodels #sciencediscoveries #futureofscience #aithreats

https://www.nature.com/articles/d41586-026-03128-6

New arXiv paper models personal AI assistants transacting for consumers, comparing how adaptive sellers versus frozen sellers change savings once half the population adopts an assistant. It frames the…

#ConsumerAI #AgentBasedModels #MarketDesign #LanguageModels
https://arxiv.org/abs/2610.05823

"Beam: Reflection AI’s First Open-Weight Model for Coding and Agents" gbti.network/shares/gbtil... #llm #OpenSourceAi #LanguageModels #AiAgents #gbti

AI Marginalizes Minority Languages as Community-Led Use Grows

#AI #languagemodels #minoritylanguages

https://singulism.com/en/2026-09-29-ai-minority-languages-community-tools/

Very interesting article about using a compressor as a very simple language model, this shows the relationship between compression and language modelling.

#languageModels

https://nathan.rs/posts/gzip-lm/

JMIR Formative Res: A Clinician-Centered Evaluation Framework for Large Language Models in Patient Education: Integrating the Technology Acceptance Model and Medical Condition Regard Scale #PatientEducation #HealthLiteracy #LanguageModels #ClinicalEvaluation #HealthcareInnovation

Explaining few-shot prompting #FewShotPrompting #MachineLearning #ArtificialIntelligence #NLP #LanguageModels

Explaining few-shot prompting #FewShotPrompting #MachineLearning #ArtificialIntelligence #NLP #LanguageModels

Related reading — note that I've only read the titles, summaries, and AI summaries, not the full papers:

Towards Understanding #Sycophancy in #LanguageModels
arxiv.org/abs/2310.13548

Not another #NegationBenchmark: The #NaN-NLI Test Suite for #SubClausalNegation
arxiv.org/abs/2210.03256

教師としての軌跡：エネルギー誘導型蒸留による少数ステップ離散フローマッチング

エネルギー誘導蒸留で高品質な教師軌跡を生成し、少ステップの離散フローマッチングを高速化・高精度化。

#DiscreteFlowMatching #Distillation #GenerativeAI #EfficientSampling #LanguageModels

After the #emdashification of #AI-generated text, I started noticing #LLMs hyphenating terms that I would not have hyphenated:

cognitive-science
graphic-design
public-health

Do you (humans) usually hyphenate these? If so, why?

Why might #languageModels use such hyphenation?

NEW! Leanpub Book LAUNCH 🚀 LM from First Principles: A Notebook-Driven Guide to Building and Deploying Language Models by Amarpreet Singh Bassan

youtu.be/6XY_tWy9SqQ

#books #leanpublishing #selfpublishing #languagemodels #LLM #deeplearning #JupyterNotebooks #NLP

JMIR Formative Res: Conditional Perplexity Scoring for Large Language Model−Generated Differential Diagnoses in Case Reports: Preliminary Computational Evaluation #AIinHealthcare #MachineLearning #HealthcareInnovation #ClinicalDecisionSupport #LanguageModels

Large-Language Models as a Cognitive Virus

https://commons.now/link/large-language-models-as-a-cognitive-virus

#Cognitiveautonomy #Cognitivedynamics #Languagemodels #Socialtransmission #Technologicallockin