Carlos's Debrief

June 03, 2026 11:00
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
June 03, 2026 11:00 — Curated by Hermes Research Scout

⚡ Quick Summary

📰 News Headlines

🌐 Web Findings

Lobste.rs 4

The hardest fork [1]
Mythos is changing software security fast. AI-driven zero-days demand new trust infrastructure, coordinated disclosure, and secure open source consumption.
Lobste.rssecurity
Pwnd Blaster: Hacking your PC using your speaker without ever touching it [2]
In my last post , I talked about reverse engineering my new Creative Sound Blaster Katana V2X's firmware. What initially started as simply wanting to write a…
Lobste.rssecurity
Golang code review notes II [3]
Close Announcement Banner What We Do How We Work RESOURCES About Us Contact Us .icon.arrow { transform: translateX(-0.5rem); transition: transform 0.3s…
Lobste.rsgosecurity
ChatGPT Won't Let You Type Until Cloudflare Reads Your React State. I Decrypted the Program That Does It [4]
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…
Lobste.rsprivacyweb

HuggingFace Papers 12

Prior Availability in Industrial Visual Sim-to-Real: A Review of CAD-Guided and CAD-Unavailable Regimes [1]
Industrial visual sim-to-real is often described as transferring from synthetic images to real images, but industrial deployment usually involves a broader…
HuggingFace Papers
Domain-Specific Data Synthesis for LLMs via Minimal Sufficient Representation Learning [2]
Large Language Models have demonstrated remarkable progress in general-purpose capabilities and can achieve strong performance in specific domains through…
HuggingFace Papers
KVarN: Variance-Normalized KV-Cache Quantization Mitigates Error Accumulation in Reasoning Tasks [3]
Test-time scaling is a powerful approach to obtain better reasoning in large language models, but it becomes memory-bottlenecked during long-horizon decoding,…
HuggingFace Papers
Mitigating Perceptual Judgment Bias in Multimodal LLM-as-a-Judge via Perceptual Perturbation and Reward Modeling [4]
Recent multimodal large language models have demonstrated strong reasoning ability, yet their reliability as automated evaluators remains limited by a critical…
HuggingFace Papers
AURA: Action-Gated Memory for Robot Policies at Constant VRAM [5]
The KV-cache is the right memory for datacenters but the wrong memory for robots. Datacenter inference batches many short requests and resets them, amortizing…
HuggingFace Papers
Bootstrap Your Generator: Unpaired Visual Editing with Flow Matching [6]
Modern generative models possess a deep understanding of visual content, yet training them for image editing typically requires massive datasets of paired…
HuggingFace Papers
MIRA: Mid-training Rubric Anchoring for Source-Aware Data Selection [7]
Mid-training has become an important stage in modern LLM development, using large-scale curated mixtures to strengthen capabilities before final post-training.…
HuggingFace Papers
A Multi-AI-agent Framework Enabling End-to-end Finite Element Analysis for Solid Mechanics Problems [8]
Finite element analysis (FEA) is the most important numerical approach for solid mechanics. Challenges of FEA include a steep learning curve for entry-level…
HuggingFace Papers
OCC-RAG: Optimal Cognitive Core for Faithful Question Answering [9]
Recent progress in the development of language models has been defined by scale, with each generation absorbing more of the world's knowledge into its weights.…
HuggingFace Papers
BA-T: An Iterative Transformer for Two-View Bundle Adjustment [10]
Feed-forward models for 3D reconstruction have achieved strong performance using deep cross-view attention to exchange information across images. However,…
HuggingFace Papers
From Activation to Causality: Discovery of Causal Visual Representations in the Human Brain [11]
Identifying which brain regions represent a visual concept in the human brain is a central challenge in neuroscience. Existing approaches have localized coarse…
HuggingFace Papers
αDepth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion [12]
Accurately modeling soft boundaries, e.g., hair and defocus blur, is a fundamental challenge in stereo conversion due to the ambiguous blending of foreground…
HuggingFace Papers

Google Scholar 6

Early identification of breakthrough technologies: Insights from science-driven innovations [1]
Finding from Google Scholar.
Google Scholar
Catalyst breakthroughs in methane dry reforming: Employing machine learning for future advancements [2]
Finding from Google Scholar.
Google Scholar
Large language models (LLM) in computational social science: prospects, current state, and challenges [3]
Finding from Google Scholar.
Google Scholar
Artificial intelligence and machine learning in cybersecurity: a deep dive into state-of-the-art techniques and future paradigms [4]
Finding from Google Scholar.
Google Scholar
Securing the future: exploring post-quantum cryptography for authentication and user privacy in IoT devices [5]
Cluster Computing - With the emergence of quantum computers, traditional cryptographic methods are vulnerable to attacks, emphasizing the need for post-quantum…
Google Scholar
Quantum machine learning: A comprehensive review of integrating AI with quantum computing for computational advancements [6]
Finding from Google Scholar.
Google Scholar

Hacker News 1

Ask HN: What do you think about quantum computing [1]
Finding from Hacker News.
Hacker News

🔗 All Sources

  1. [1] The hardest fork
  2. [2] Pwnd Blaster: Hacking your PC using your speaker without ever touching it
  3. [3] Golang code review notes II
  4. [4] ChatGPT Won't Let You Type Until Cloudflare Reads Your React State. I Decrypted
  5. [5] Prior Availability in Industrial Visual Sim-to-Real: A Review of CAD-Guided and
  6. [6] Domain-Specific Data Synthesis for LLMs via Minimal Sufficient Representation Le
  7. [7] KVarN: Variance-Normalized KV-Cache Quantization Mitigates Error Accumulation in
  8. [8] Mitigating Perceptual Judgment Bias in Multimodal LLM-as-a-Judge via Perceptual
  9. [9] AURA: Action-Gated Memory for Robot Policies at Constant VRAM
  10. [10] Bootstrap Your Generator: Unpaired Visual Editing with Flow Matching
  11. [11] MIRA: Mid-training Rubric Anchoring for Source-Aware Data Selection
  12. [12] A Multi-AI-agent Framework Enabling End-to-end Finite Element Analysis for Solid
  1. [13] OCC-RAG: Optimal Cognitive Core for Faithful Question Answering
  2. [14] BA-T: An Iterative Transformer for Two-View Bundle Adjustment
  3. [15] From Activation to Causality: Discovery of Causal Visual Representations in the
  4. [16] αDepth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion
  5. [17] Early identification of breakthrough technologies: Insights from science-driven
  6. [18] Catalyst breakthroughs in methane dry reforming: Employing machine learning for
  7. [19] Large language models (LLM) in computational social science: prospects, current
  8. [20] Artificial intelligence and machine learning in cybersecurity: a deep dive into
  9. [21] Securing the future: exploring post-quantum cryptography for authentication and
  10. [22] Quantum machine learning: A comprehensive review of integrating AI with quantum
  11. [23] Ask HN: What do you think about quantum computing
Generated by Hermes Agent • arXiv • Google Scholar • Lobste.rs • Hacker News • HuggingFace