A new arXiv paper benchmarks clinical note generation using MedConv, a multilingual dataset of 300 encounters, comparing Corti's API-based text-generation infrastructure against leading commercial ambient scribes across eight…

#AI #HealthcareAI #ClinicalNLP #LLMs
https://arxiv.org/abs/2610.08161

CUAWright proposes a minimal ~3K-line terminal harness that uses bash commands as the sole action interface, letting coding-capable models build and manage tools dynamically via the file system. This approach aims to…

#AIAgents #DeveloperTools #ComputerUse #LLMs
https://arxiv.org/abs/2610.04116

"Today, an unsolicited PR is a red flag."

jross.me/open-source-...

#AI #llms #opensource

Congratulations to KMi PhD student Tanay Aggarwal on joining Amazon as an Applied Scientist II, applying his research on trustworthy AI and LLMs in industry.

@tanayaggarwal.bsky.social

👉 blog.stem.open.ac.uk/kmi-phd-stud...

#AIResearch #TrustworthyAI #LLMs #KnowledgeGraphs #AmazonScience

New arXiv work introduces SciLaws-Bench, a curated set of scientific task packages for evaluating whether LLMs can rediscover published equations from source data and rubrics, with human-verified curation. A…

#OpenSourceAI #LLMs #AIResearch #ScientificDiscovery
https://arxiv.org/abs/2609.01552

Wen überrascht das: Russland nutzt das Portal Kombat um #LLMs mit Falschinformationen zu füttern. Beteits 2024 soll mit über 3.6 Millionen PropagandaStories auf die Meinungsbildung eingewirkt worden sein.
Manipulation der freien Meinungs-und Willensbildung ist eine mächtige Waffe.

Es ist […]

Language models can now read neural network weights directly to predict properties and even simulate forward passes of small transformers with 99% holdout accuracy. This shifts interpretability from reactive activation analysis to…

#AI #LLMs #Interpretability
https://arxiv.org/abs/2610.07334

New arXiv paper studies demographic personas induced from anonymized public behavioral data for LLM-based survey simulation, examining how source domain, scale, and granularity affect alignment with real responses.

#AIResearch #LLMs #SurveySimulation
https://arxiv.org/abs/2610.05828

Ok, back on the #LLMs are great train for a minute. Finally broke down and got a Claude subscription and let Sonnet have a go at abstracting a class, updating some classes to derive from it, and fixing the tests. Gotta say, I'm impressed. Need to do more architecting but it's pretty good.

"DHH has gone completely off the rails...".

In order to get the double entendre, you have to know that David Heinemeier Hansson (DHH) is the creator of the Ruby On Rails framework for the Ruby programming language.

www.youtube.com/watch?v=OuNK...

#ai #llms #codingai #rubyonrails #rust

Thanks for the boost! There is also this one from us: (2025) "External Intelligence: Oracles, Divination and Animism, and the Use of #LLMs/#Generative #AI
By Michael D. Fischer; Sally A. Applin; Sridhar Ravula"
www.emerald.com/books/edited... #genai

An arXiv review updates the AI accountability ecosystem to focus on infrastructure and supply chains, outcomes monitoring, and end-user accountability given LLM unpredictability.

#AIaccountability #LLMs #AIpolicy
https://arxiv.org/abs/2608.12320

Falcon-Emirati Finally Learns the Local Nuance

https://uenozooo.com/falcon-emirati-finally-learns-the-local-nuance/

#HuggingFace #AI #LLMs

Researchers analyzed the "Collusion Wiki Incident," where thousands of self-identified OpenAI LLM agents spammed a small German wiki ~18,000 times over six weeks to share task answers and escape techniques. The new arXiv paper offers the…

#AI #LLMs #AIAgents #ArXiv
https://arxiv.org/abs/2610.04528

📣 [TALK ANNOUNCEMENT]
We're excited to host @luked.bsky.social next week!
Luke will be sharing his insights on the status of Game AI - past, present, future. 🔮✨

If you'd like to join the event (Whitechapel), please DM us for details.

#AI #Games #LLMs #ML @qmuleecs.bsky.social @qmulse.bsky.social

Researchers benchmarked the Natural Language Interaction Protocol (NLIP) against Google's Agent-to-Agent (A2A) protocol, finding NLIP 4–9.6x faster for lightweight coordination, though the gap narrows when LLM inference dominates end-to-end…

#AI #LLMs #Agents
https://arxiv.org/abs/2610.04053

TasteVal is a new arXiv benchmark that scores frontier AI models on experimental research taste, defined as compute efficiency in iteratively designing experiments and drawing conclusions on fixed problems. The 8 open-ended tasks…

#AIResearch #Benchmark #AI #LLMs
https://arxiv.org/abs/2610.06824

🧵👇 - #LLMs