Better stance classification, diffusion speed, and robustness
Researchers tackle emotion in text, speed up diffusion models, and harden LLMs against adversarial attacks.
updates
Boosting Math, RAG, and Cultural Alignment
I'm seeing solid gains in math reasoning and RAG efficiency with these new papers.
Grounding local LLMs with Bespoke-Minicheck
Bespoke-Minicheck is now live in Ollama, giving us a practical way to catch hallucinations in local inference.
Ollama bridges local and cloud inference
Hybrid inference lets you offload heavy models to the cloud while keeping your local tooling intact.
Taalas hits 17k tokens/s with Llama 3.1
Agentic workflows and aggressive quantization are reshaping how we think about local inference.
Mapping LLM Failure Modes & New Distillation Methods
We're seeing a shift from discrete attacks to understanding the continuous topology of model safety, plus a new way to distill reasoning models without losing accuracy.
Code World Models & Green Inference
Research is tackling evolutionary AI control and sustainable inference to save energy.
Benchmarking Reasoning and Reward-Free Scaling
SPARTA exposes multi-hop QA flaws, while Duel-Evolve optimizes without ground-truth labels.
Vision, RAG, and Attention Scaling
New benchmarks tackle RAG complexity, while research into attention scaling and modality collapse offers fresh insights for optimizing local AI infrastructure.
AuditBench exposes hidden alignment gaps
New benchmarks reveal auditing tools struggle with hidden behaviors and synthetic training.