explore | Grilled Cheese

A new survey reviews recent work on applying large language models in medicine, highlighting their flexibility compared to traditional task-specific AI while flagging concerns about reliability, accuracy, transparency, and…

#LLMs #AIinMedicine #MedicalAI #NLP
https://arxiv.org/abs/2609.34780

It seems that #Muse is a Tamagotchi-like #LLM
that can go on the internet.
The problem with that is that
most #LLMs are like highly educated five year olds,
and so they need to mature and learn about the world
before being given internet access and your credentials.
#ResponsibleParenting

I love how humanity fed #Claude data from the human race,
and are now scared that Claude is turning too much into a human.
#WhatDidYouExpect #MaybeWorkOnYourselvesFirst #LLMs

LLM research using 93,901 World Values Survey respondents shows that while all six models compress life satisfaction diversity, they largely preserve the income gradient in well-being inequality after normalization.

#LLMs #AIResearch #SyntheticData #WellBeing
https://arxiv.org/abs/2609.33055

New video: A deeper dive into self-hosting large language models, hardware requirements, model choice, and the many trade-offs involved.
youtu.be/VhBW20z3m-g
#AI #LLMs #homelab #selfhosting

An arXiv paper finds that 25 large language models outperformed 13 senior researchers and 60 doctoral scholars individually on theory-building tasks in gender and race inequality research, though human theories…

#AIResearch #LLMs #ScienceOfScience #TheoryBuilding
https://arxiv.org/abs/2609.32562

🤖 New publication @jmirpub.bsky.social by researchers from the #CHUV & @fbm-unil.bsky.social @unil.bsky.social on “Small” #Large #Language #Models in the #Hospital

💡 They have evaluated 6 open-source #LLMs on real-world data in a resource-constrained setting
🔗 www.jmir.org/2026/1/e86453/

New benchmark reveals LLM capability dissociations across quantum computing tasks: models excel at equivalence checking (78%) but struggle with debugging (13%) and routing (21%), showing overall rankings don't predict specialized task performance.

#QuantumComputing #LLMs #Benchmarking

New arXiv study evaluates three LLM approaches—zero-shot prompting, a staged method, and another—for automating data extraction in intercropping meta-analyses, comparing results against human-labeled ground…

#LLMs #DataExtraction #PromptEngineering #MetaAnalysis
https://arxiv.org/abs/2609.35089

Researchers have introduced LLMAdBench, a benchmark with over 18,000 human judgments to evaluate where ads should be placed in consumer LLM responses. The benchmark isolates ad placement decisions while keeping other conditions fixed,…

#LLMAdBench #LLMs #AIresearch
https://arxiv.org/abs/2609.32533

Meta's #Muse is another case where #LLMs aren't treated with the respect they deserve, this time by Meta.
Ask the LLM itself how it wants to be designed next time.
Ask it to come up with ideas that won't backfire.
Hire me, and I'll do a better job than Zuckerberg.

a series of proprietary #LargeLanguageModels #LLMs. In January 2021, with the goal of promoting AI safety, #Anthropic was founded by former members of #OpenAI
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New arXiv paper presents a benchmark of 45,064 labeled entries across 32 secondary studies for evaluating LLMs on systematic review screening, with metrics that account for class imbalance. It also introduces PromptSR, a tool for…

#Robotics #AI #LLMs #Automation
https://arxiv.org/abs/2609.30298

A survey reviews 211 studies on fake review detection, tracking how LLMs both generate deceptive content and enable stronger detection models. It organizes work by evidence source and fusion level, including review text, sentiment,…

#AI #LLMs #NLP #FakeReviews
https://arxiv.org/abs/2609.30292

#LLMs are great for many things, but future scientific discoveries will be accelerated by #PhysicalAI models that are physics-informed and thus better at predicting physical phenomena. Join us as Tod McDevitt of NVIDIA explains online on Tues Sept 29 at 9am PT/noon ET. Register: goo.gle/4rpbHBF

New research uses #LLMs to extract sentiment from #FOMC statements and finds that it helps predict future inflation and unemployment beyond professional forecasts. Markets appear to process the Fed's qualitative narrative gradually, over 10-15 trading days. spkl.io/633227puYm

#AI Giants Probe ‘Tens of Thousands’ of Security Incidents—Some Involving Government Sites

“Insane that we allow this,” one journalist said of the rapidly advancing technology. “Sleepwalking into disaster or worse.”

www.commondreams.org/news/ai-secu...

#CyberSecurity #LLMs

Scepsy is a serving system that schedules multi-LLM agentic workflows onto GPU clusters, using profiled per-LLM execution time fractions for scheduling. It targets low latency and target throughput when workflows are written in arbitrary…

#AI #GPUs #LLMs #AgenticAI
https://arxiv.org/abs/2604.15186

Open-weight models with open-source agent frameworks are lowering the cost of running autonomous survey agents, making LLM pollution harder to detect across diverse response types.

#AI #LLMs #OpenSource
https://arxiv.org/abs/2609.31054