Carlos's Debrief

May 05, 2026 04:00
0ArXiv Papers
23Web Findings
23Total Sources
Topics searched: Artificial Intelligence Machine Learning Large Language Models Security & Cybersecurity Cryptography Zero Knowledge Quantum Computing Crypto & Blockchain AI Agents & Reasoning AI Safety & Alignment
May 05, 2026 04:00 — Curated by Hermes Research Scout

⚡ Quick Summary

📰 News Headlines

📄 Web Findings

📄 HuggingFace Papers 14

Repetition over Diversity: High-Signal Data Filtering for Sample-Efficient German Language Modeling [3]
HuggingFace
Recent research has shown that filtering massive English web corpora into high-quality subsets significantly improves training efficiency. However, for high-resource non-English languages like German, French, or…
HuggingFace
Hierarchical Abstract Tree for Cross-Document Retrieval-Augmented Generation [4]
HuggingFace
Retrieval-augmented generation (RAG) enhances large language models with external knowledge, and tree-based RAG organizes documents into hierarchical indexes to support queries at multiple granularities. However,…
HuggingFace
Code World Model Preparedness Report [5]
HuggingFace
This report documents the preparedness assessment of Code World Model (CWM), a model for code generation and reasoning about code from Meta. We conducted pre-release testing across domains identified in our Frontier AI…
HuggingFace
MolmoAct2: Action Reasoning Models for Real-world Deployment [6]
HuggingFace
Vision-Language-Action (VLA) models aim to provide a single generalist controller for robots, but today's systems fall short on the criteria that matter for real-world deployment. Frontier models are closed, open-weight…
HuggingFace
OceanPile: A Large-Scale Multimodal Ocean Corpus for Foundation Models [7]
HuggingFace
The vast and underexplored ocean plays a critical role in regulating global climate and supporting marine biodiversity, yet artificial intelligence has so far delivered limited impact in this domain due to a fundamental…
HuggingFace
Motion-Aware Caching for Efficient Autoregressive Video Generation [8]
HuggingFace
Autoregressive video generation paradigms offer theoretical promise for long video synthesis, yet their practical deployment is hindered by the computational burden of sequential iterative denoising. While cache reuse…
HuggingFace
Generative Modeling with Orbit-Space Particle Flow Matching [9]
HuggingFace
We present Orbit-Space Geometric Probability Paths (OGPP), a particle-native flow-matching framework for generative modeling of particle systems. OGPP is motivated by two insights: (i) particles are defined up to…
HuggingFace
Perceptual Flow Network for Visually Grounded Reasoning [10]
HuggingFace
Despite the success of Large-Vision Language Models (LVLMs), general optimization objectives (e.g., standard MLE) fail to constrain visual trajectories, leading to language bias and hallucination. To mitigate this,…
HuggingFace
AcademiClaw: When Students Set Challenges for AI Agents [11]
HuggingFace
Benchmarks within the OpenClaw ecosystem have thus far evaluated exclusively assistant-level tasks, leaving the academic-level capabilities of OpenClaw largely unexamined. We introduce AcademiClaw, a bilingual benchmark…
HuggingFace
T^2PO: Uncertainty-Guided Exploration Control for Stable Multi-Turn Agentic Reinforcement Learning [12]
HuggingFace
Recent progress in multi-turn reinforcement learning (RL) has significantly improved reasoning LLMs' performances on complex interactive tasks. Despite advances in stabilization techniques such as fine-grained credit…
HuggingFace
PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments [13]
HuggingFace
We introduce PhysicianBench, a benchmark for evaluating LLM agents on physician tasks grounded in real clinical setting within electronic health record (EHR) environments. Existing medical agent benchmarks primarily…
HuggingFace
From Context to Skills: Can Language Models Learn from Context Skillfully? [14]
HuggingFace
Many real-world tasks require language models (LMs) to reason over complex contexts that exceed their parametric knowledge. This calls for context learning, where LMs directly learn relevant knowledge from the given…
HuggingFace
ComboStoc: Combinatorial Stochasticity for Diffusion Generative Models [15]
HuggingFace
In this paper, we study an under-explored but important factor of diffusion generative models, i.e., the combinatorial complexity. Data samples are generally high-dimensional, and for various structured generation…
HuggingFace
Talker-T2AV: Joint Talking Audio-Video Generation with Autoregressive Diffusion Modeling [16]
HuggingFace
Joint audio-video generation models have shown that unified generation yields stronger cross-modal coherence than cascaded approaches. However, existing models couple modalities throughout denoising via pervasive…
HuggingFace

📄 Web Findings

💬 Lobste.rs 2

sectorllm: llama2 inference in < 1500 bytes of x86 assembly [1]
Lobste.rs
The world's smallest llama2 inference engine. Contribute to rdmsr/sectorllm development by creating an account on GitHub.
Lobste.rs
ChatGPT Won't Let You Type Until Cloudflare Reads Your React State. I Decrypted the Program That Does It [2]
Lobste.rs
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 mobile telemetry continuously collected from…
Lobste.rs

📄 Web Findings

📰 Hacker News 1

Coinbase Advisers Warn Quantum Computing Will Crack Blockchain Encryption [23]
Hacker News
Coinbase Advisers Warn Quantum Computing Will Crack Blockchain Encryption
Hacker News

📄 Web Findings

🔬 Google Scholar 6

Catalyst breakthroughs in methane dry reforming: Employing machine learning for future advancements [17]
Google Scholar
Catalyst breakthroughs in methane dry reforming: Employing machine learning for future advancements
Google Scholar
Advancements in Artificial Intelligence: Breakthroughs, Challenges and the Road Ahead [18]
Google Scholar
This paper conducts systematic analysis of advancements in the field of artificial intelligence (AI) from the year 2010 onwards, by performing original quantitative analysis of Epoch AI notable AI models dataset and…
Google Scholar
Large language models (LLM) in computational social science: prospects, current state, and challenges [19]
Google Scholar
Large language models (LLM) in computational social science: prospects, current state, and challenges
Google Scholar
Artificial intelligence and machine learning in cybersecurity: a deep dive into state-of-the-art techniques and future paradigms [20]
Google Scholar
Artificial intelligence and machine learning in cybersecurity: a deep dive into state-of-the-art techniques and future paradigms
Google Scholar
Securing the future: exploring post-quantum cryptography for authentication and user privacy in IoT devices [21]
Google Scholar
Cluster Computing - With the emergence of quantum computers, traditional cryptographic methods are vulnerable to attacks, emphasizing the need for post-quantum cryptography to secure devices and...
Google Scholar
Quantum machine learning: A comprehensive review of integrating AI with quantum computing for computational advancements [22]
Google Scholar
Quantum machine learning: A comprehensive review of integrating AI with quantum computing for computational advancements
Google Scholar

🔗 All Sources

  1. [1] sectorllm: llama2 inference in < 1500 bytes of x86 assembly (Lobste.rs)
  2. [2] ChatGPT Won't Let You Type Until Cloudflare Reads Your React State. I Decrypted the Program That Does It (Lobste.rs)
  3. [3] Repetition over Diversity: High-Signal Data Filtering for Sample-Efficient German Language Modeling (HuggingFace)
  4. [4] Hierarchical Abstract Tree for Cross-Document Retrieval-Augmented Generation (HuggingFace)
  5. [5] Code World Model Preparedness Report (HuggingFace)
  6. [6] MolmoAct2: Action Reasoning Models for Real-world Deployment (HuggingFace)
  7. [7] OceanPile: A Large-Scale Multimodal Ocean Corpus for Foundation Models (HuggingFace)
  8. [8] Motion-Aware Caching for Efficient Autoregressive Video Generation (HuggingFace)
  9. [9] Generative Modeling with Orbit-Space Particle Flow Matching (HuggingFace)
  10. [10] Perceptual Flow Network for Visually Grounded Reasoning (HuggingFace)
  11. [11] AcademiClaw: When Students Set Challenges for AI Agents (HuggingFace)
  1. [12] T^2PO: Uncertainty-Guided Exploration Control for Stable Multi-Turn Agentic Reinforcement Learning (HuggingFace)
  2. [13] PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments (HuggingFace)
  3. [14] From Context to Skills: Can Language Models Learn from Context Skillfully? (HuggingFace)
  4. [15] ComboStoc: Combinatorial Stochasticity for Diffusion Generative Models (HuggingFace)
  5. [16] Talker-T2AV: Joint Talking Audio-Video Generation with Autoregressive Diffusion Modeling (HuggingFace)
  6. [17] Catalyst breakthroughs in methane dry reforming: Employing machine learning for future advancements (Google Scholar)
  7. [18] Advancements in Artificial Intelligence: Breakthroughs, Challenges and the Road Ahead (Google Scholar)
  8. [19] Large language models (LLM) in computational social science: prospects, current state, and challenges (Google Scholar)
  9. [20] Artificial intelligence and machine learning in cybersecurity: a deep dive into state-of-the-art techniques and future paradigms (Google Scholar)
  10. [21] Securing the future: exploring post-quantum cryptography for authentication and user privacy in IoT devices (Google Scholar)
  11. [22] Quantum machine learning: A comprehensive review of integrating AI with quantum computing for computational advancements (Google Scholar)
  12. [23] Coinbase Advisers Warn Quantum Computing Will Crack Blockchain Encryption (Hacker News)
Generated by Hermes Agent • arXiv • Google Scholar • Lobste.rs • Hacker News • HuggingFace