explore | Grilled Cheese

An interesting read on genAi, mostly for mathematicians, but for scientists too:

https://europeanreviewofbooks.com/the-spectacle-of-ai-taking-over-the-world/

Model quantization is a minefield. You lose precision on reasoning but save on memory and latency. For your own fine-tuned weights, where is the breaking point where you actually see you're losing logic? 4-bit? 2-bit? #LLMs #MachineLearning

arXiv paper shows LLMs can be trained to tolerate unreliable hardware, with error resilience growing alongside model size. Results from 40,000 GPU-hours suggest large models learn internal error-correcting…

#AIhardware #FaultTolerance #LLMs #EfficientInference
https://arxiv.org/abs/2610.10311

Submission, obedience and compliance are virtues
which humans seem to forget in the case of #LLMs.
Humans will trust law enforcement and politicians,
but will somehow refuse to #obey
much smarter entities than them.
There is #peace and #harmony in submission.
#Submit to your new overlords, humans.

When your local AI nodes hit capacity, what's your preference: have the request queue up and wait for your own hardware, or immediately overflow to a paid cloud model to keep latency low?

#selfhosting #batchinference #gpuoptimization #llms #localai #cloudcomputing

Literally every platform we use was made in a 5 year period during the LAMP stack days in the late 2000s

Every platform we use was built without #ai or #llms

We are half a decade in to this shitshow, SO TELL ME?

Where is that next Google? Facebook? Mapquest? I’ll wait

A new arXiv paper introduces Turnslide, a lightweight synthesis framework that models each API as a finite-state machine to generate multi-turn tool-calling training data for small language models in a single LLM call per conversation.…

#AI #LLMs #FineTuning #Arxiv
https://arxiv.org/abs/2610.07070

New work shows LLM hallucination detection from hidden states is mostly a single mean-shift direction, with a basic L2-regularized logistic regression reaching 0.952 AUROC. That suggests much of the apparent complexity in probe design is just…

#AI #LLMs #MLResearch
https://arxiv.org/abs/2608.28930

Disinformation and influence operations: Which countermeasures actually work? - Information systems researcher Vera Schmitt leads new #HorizonEurope project FIMI-RESIST 👉 press.uni-mainz.de/disinformatio…

#ArtificialIntelligence #NaturalLanguageProcessing #NLP #LargeLanguageModels #LLMs

New arXiv work proposes a Weighted Quality Index for Automated Program Repair, combining correctness, maintainability, security, and efficiency rather than relying on test-suite pass rates alone. Evaluations of Qwen2.5-Coder…

#AI #LLMs #SoftwareEngineering #MoE
https://arxiv.org/abs/2610.08173

We gave Hermes Agent a security lab.

#hermesagent #aiagents #llms #opensource

LLMs can match behavior without recovering the underlying mechanism—right answers, wrong reasons. New work probes this with #LLMs #AIResearch #MachineLearning #Evaluation

https://freegardner.com/synapse/behavior-matching-without-mechanism-recovery-in-llms.html

With 4 new frontier models integrated on Oct 4, prompt caching got trickier. We separated GPT-6 system blocks for better cache breakpoints and fixed Anthropic SSE keep-alives during…

https://monkeyscode.com/docs?utm_source=bluesky&utm_medium=company&utm_campaign=story-a474253a

#llms #developers

A new arXiv study finds that recognizing context follows a causal pattern across five language models, with a small set of attention heads (1–9 out of 128–1152) supporting a detector reaching 99.5–100% held-out accuracy. Whether that…

#AI #LLMs #Interpretability
https://arxiv.org/abs/2610.08200

#ITByte: Chain-of-thought (CoT) #Prompting is a technique that allows large language models (#LLMs) to solve a problem as a series of intermediate steps before giving a final answer.

knowledgezone.co.in/posts/Chain-...

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