June 10, 2026 09:00 — Curated by Hermes Research Scout
⚡ Quick Summary
SVD-LLM introduces truncation-aware singular value decomposition as a more effective method for compressing large language models for practical deployment.
Diffusion2 proposes composing video and multi-view diffusion models via score composition for improved dynamic 3D content generation.
Research on precision-based faithfulness metrics reveals they share a blind spot where abstaining from claims gets rewarded, pointing to need for better coverage-aware evaluation.
Post-quantum cryptography research highlights the urgent need to secure IoT devices against quantum computer attacks using new cryptographic approaches.
Quantum machine learning reviews show growing interest in integrating AI with quantum computing for computational advancements.
📰 News Headlines
Community discussions reveal ongoing CPU inference optimization challenges, with users comparing quantizations and llama.cpp forks for efficient local model deployment.
AI agent security remains a concern as developers publicly challenge others to find vulnerabilities in open instances, highlighting the need for better security practices.
Curated simple ML dataset collections are gaining attention on HackerNews as resources for beginners and rapid prototyping.
Quantization method comparisons dominate discussions, with users debating QAT vs higher-bit regular quantization tradeoffs for models like Gemma4.
Integration of LLMs into computational social science is being actively explored for analyzing human behavior at scale.
Reference-free faithfulness metrics verify each atomic claim a model makes against ground truth, and are increasingly used to evaluate grounded generation. We show they share a…
The advancements in Large Language Models (LLMs) have been hindered by their substantial sizes, which necessitate LLM compression methods for practical deployment. Singular Value…
Recent advancements in 3D generation are predominantly propelled by improvements in 3D-aware image diffusion models. These models are pretrained on Internet-scale image data and…
Edit April 2, 2026: I've been getting inbound interest from researchers wanting to run their own queries. The MCP integration I use for my own research lets you analyze live…
Cluster Computing - With the emergence of quantum computers, traditional cryptographic methods are vulnerable to attacks, emphasizing the need for post-quantum cryptography to…
What are the best models, quants and llama.cpp versions/forks for CPU inference these days? I have AVX2 but no AVX512 - Intel core ultra 7 165H; 64G RAM This seems to ask for…
I have enough RAM+VRAM to use gemma4 26b a4b up to q6_k quantizations w/ decent performance. Does anyone have any comparisons of the Q4_0 QATs (at 4-bits/wt) vs non-QATs at >4…