Carlos's Debrief

June 11, 2026 19:00
0ArXiv Papers
24Web Findings
24Total 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
June 11, 2026 19:00 — Curated by Hermes Research Scout

⚡ Quick Summary

📰 News Headlines

🌐 Web Findings

🤗 HuggingFace Papers 9

Large language models (LLMs) are on the rise for accelerating scientific discovery, most recently in advanced tasks such as generating valid scientific hypotheses. Yet in many…
▲ 1HuggingFace Papers
Curating training data is among the most consequential yet labor-intensive parts of modern AI development: practitioners iteratively propose, implement, evaluate, and revise data…
▲ 1HuggingFace Papers
Combinatorics is central to Olympiad-level mathematical problem solving, requiring deep discrete reasoning, creative constructions, and rigorous structural insight. Recent…
▲ 18HuggingFace Papers
As the capabilities of LLM-based code agents continue to advance, their expected role is expanding beyond localized bug fixing in existing codebases toward architecting and…
▲ 27HuggingFace Papers
Modern LLM training pipelines increasingly rely on other models to generate data, filter corpora, judge outputs, and guide development decisions. These dependencies are recursive:…
▲ 1HuggingFace Papers
Understanding and predicting how social beliefs evolve in response to events -- from policy changes to scientific breakthroughs -- remains a fundamental challenge in social…
▲ 1HuggingFace Papers
Computer-use agents (CUAs) rely on visual observations of graphical user interfaces, where each screenshot is encoded into a large number of visual tokens. As interaction…
▲ 4HuggingFace Papers
Sparse attention reduces compute and memory bandwidth for long-context LLM inference. However, two key challenges remain: (1) KV cache capacity still grows with sequence length,…
▲ 1HuggingFace Papers
Generic time-series foundation models transfer poorly to wireless network telemetry whose signals are bursty, zero-inflated, and coupled across protocol layers. We present APEX, a…
▲ 1HuggingFace Papers

📝 OpenReview 2

The advancements in Large Language Models (LLMs) have been hindered by their substantial sizes, which necessitate LLM compression methods for practical deployment. Singular Value…
OpenReview
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…
OpenReview

🦞 Lobste.rs 4

Finding from 🦞 Lobste.rs.
Lobste.rs
You are seeing this because the administrator of this website has set up Anubis to protect the server against the scourge of AI companies aggressively scraping websites . This can…
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…
Lobste.rs
More info in Mastodon post: https://gaysex.cloud/notes/andaxow7itfn05x9 List of affected packages: https://gr.ht/aur_pkg_list.txt
Lobste.rs

🎓 Google Scholar 7

Cluster Computing - With the emergence of quantum computers, traditional cryptographic methods are vulnerable to attacks, emphasizing the need for post-quantum cryptography to…
Google Scholar

📰 Hacker News 1

IBM stock climbs as the tech giant unveils a fresh funding push to support its quantum research and development efforts.
Hacker News

👽 Reddit 1

Are there any websites listing post-doc job opening in machine learning? Currently I'm using LInkedIn to search for these. When I was a math post-doc, everyone used "MathJobs.org"…
Reddit

🔗 All Sources

  1. [1] Malicious Packages Spreading in AUR
  2. [2] Hundreds of AUR packages attacked by infostealer
  3. [3] Reuse Less Software
  4. [4] ChatGPT Won't Let You Type Until Cloudflare Reads Your React State. I Decrypted the…
  5. [5] Can Generalist Agents Automate Data Curation?
  6. [6] Building Social World Models with Large Language Models
  7. [7] Which Models Are Our Models Built On? Auditing Invisible Dependencies in Modern LLMs
  8. [8] ReVision: Scaling Computer-Use Agents via Temporal Visual Redundancy Reduction
  9. [9] SparDA: Sparse Decoupled Attention for Efficient Long-Context LLM Inference
  10. [10] APEX: A Network-Native Time-Series Foundation Model for Forecasting and Anomaly Detection…
  11. [11] Towards Diverse Scientific Hypothesis Search with Large Language Models
  12. [12] ComBench: A Benchmark for Rigorous Proof Reasoning and Constructive Realization in…
  1. [13] DeNovoSWE: Scaling Long-Horizon Environments for Generating Entire Repositories from…
  2. [14] Early identification of breakthrough technologies: Insights from science-driven…
  3. [15] Catalyst breakthroughs in methane dry reforming: Employing machine learning for future…
  4. [16] Large language models (LLM) in computational social science: prospects, current state,…
  5. [17] Artificial intelligence and machine learning in cybersecurity: a deep dive into…
  6. [18] Securing the future: exploring post-quantum cryptography for authentication and user…
  7. [19] Quantum machine learning: A comprehensive review of integrating AI with quantum computing…
  8. [20] When machines join the moral circle: The persona effect of generative AI agents in…
  9. [21] (https://www.barrons.com/articles/ibm-stock-quantum-computing-aafbb1eb?st=vEn99N&mod=1440&…
  10. [22] Post-docs in ML [D]
  11. [23] SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model…
  12. [24] Diffusion$^2$: Dynamic 3D Content Generation via Score Composition of Video and…