Carlos's Debrief

June 15, 2026 11:00
0ArXiv Papers
36Web Findings
36Total 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 15, 2026 11:00 — Curated by Hermes Research Scout

⚡ Quick Summary

📰 News Headlines

🌐 Web Findings

🤗 HuggingFace Papers 12

ClinHallu: A Benchmark for Diagnosing Stage-Wise Hallucinations in Medical MLLM Reasoning [13]
Building trustworthy medical multimodal large language models (MLLMs) is critical for reliable clinical decision support. Existing medical hallucination benchmarks mainly focus on…
▲ 4HuggingFace Papers
The Arbiter Agent: Continually Monitoring Multi-Agent Conversations to Detect Emergent Misalignment [9]
As AI systems built from multiple language-model agents become more common, they are increasingly used to make decisions together: discussing, negotiating, and acting on shared…
▲ 6HuggingFace Papers
FVSpec: Real-World Property-Based Tests as Lean Challenges [3]
We present a benchmark for evaluating AI models and agents on real-world formal software verification tasks. We first scrape 11,039 property-based tests (PBTs) from real-world…
HuggingFace Papers
AlloSpatial: Agentic Harness Framework for Spatial Reasoning in Foundation Models [11]
Multimodal Foundation Models (MFMs) have made substantial progress, yet remain fragile in spatial reasoning over the physical world. A key bottleneck lies in their inability to…
▲ 1HuggingFace Papers
APT: Action Expert Pretraining Improves Instruction Generalization of Vision-Language-Action Policies [10]
Vision-Language-Action (VLA) models that couple pretrained Vision-Language Models (VLMs) with continuous action experts have achieved strong manipulation performance, yet…
▲ 1HuggingFace Papers
Squeeze-Release: Iterative Pruning with Exact Structural Minimization [8]
Unstructured pruning produces sparse weight tensors, but the standard implementation keeps tensor shapes unchanged so the deployed model is no smaller than before pruning. We…
HuggingFace Papers
Quickest Detection of Hallucination Onset: Delay Bounds and Learned CUSUM Statistics [5]
Token-level hallucination detectors are evaluated as classifiers, by AUC over all tokens, yet a streaming monitor is judged by its reaction time: the number of tokens that pass…
HuggingFace Papers
OmniVideo-100K: A Dataset for Audio-Visual Reasoning through Structured Scripts and Evidence Chains [14]
Current automated pipelines for audio-visual Question Answering (QA) generally adopt a ``video-caption-QA'' paradigm. However, these methods typically segment videos into short…
▲ 20HuggingFace Papers
LoSoNA: A Benchmark for Local Social Norm Adaptation in Group Conversations [7]
Online group chats are social spaces with local conversational norms that are rarely stated explicitly. The ability and willingness of LLM-based agents to recognize and adapt to…
▲ 3HuggingFace Papers
ActiveMimic: Egocentric Video Pretraining with Active Perception [12]
Egocentric human video offers a scalable alternative to robot data for pretraining, yet models pretrained on such video consistently underperform those pretrained on robot data.…
HuggingFace Papers
iMaC: Translating Actions into Motion and Contact Images for Embodied World Models [6]
Embodied world models have emerged as a pivotal paradigm for visual robotic decision-making and interactive environment simulation. However, conventional embodied frameworks rely…
▲ 9HuggingFace Papers
World Tracing: Generative Pixel-Aligned Geometry Beyond the Visible [4]
Image-to-3D methods often trade off faithfulness and completeness: depth estimators are anchored to input pixels but stop at the visible surface, while image-to-3D models generate…
▲ 1HuggingFace Papers

🧪 Semantic Scholar 1

Convergence of evolving artificial intelligence and machine learning techniques in precision oncology [34]
The confluence of new technologies with artificial intelligence (AI) and machine learning (ML) analytical techniques is rapidly advancing the field of precision oncology,…
📊 151 citesSemantic Scholar

📝 OpenReview 2

SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression [35]
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
Diffusion$^2$: Dynamic 3D Content Generation via Score Composition of Video and Multi-view Diffusion Models [36]
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

💻 GitHub Trending 8

rohitg00/ai-engineering-from-scratch [26]
Learn it. Build it. Ship it for others.
⭐ 32.9kGitHub Trending
Panniantong/Agent-Reach [23]
Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
⭐ 29.7kGitHub Trending
jwasham/coding-interview-university [25]
A complete computer science study plan to become a software engineer.
⭐ 352.1kGitHub Trending
mikeroyal/Self-Hosting-Guide [28]
Self-Hosting Guide. Learn all about locally hosting (on premises & private web servers) and managing software applications by yourself or your organization. Including Cloud, LLMs,…
⭐ 20.7kGitHub Trending
krahets/hello-algo [24]
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持简中、繁中、English、日本語，提供 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 等代码实现
⭐ 126.8kGitHub Trending
Raphire/Win11Debloat [27]
A simple, lightweight PowerShell script that allows you to remove pre-installed apps, disable telemetry, as well as perform various other changes to declutter and customize your…
⭐ 47.8kGitHub Trending
teslamate-org/teslamate [22]
A self-hosted data logger for your Tesla 🚘 [main maintainer= @JakobLichterfeld ]
⭐ 8.2kGitHub Trending
itsfatduck/optimizerDuck [29]
Free, open-source Windows optimization tool for performance, privacy, and simplicity.
⭐ 3.6kGitHub Trending

🦞 Lobste.rs 2

Building llm-driven “ai” still requires domain knowledge [1]
I’m in the process of building an llm driven tool to take user questions and answer them using our customer api at $work. A big part of the work is capturing the domain knowledge…
Lobste.rs
CrankGPT — Local Human-powered AI [2]
A human-powered, fully local, fully private AI solution.
Lobste.rs

🎓 Google Scholar 6

Large language models (LLM) in computational social science: prospects, current state, and challenges [17]
Finding from 🎓 Google Scholar.
Google Scholar
Securing the future: exploring post-quantum cryptography for authentication and user privacy in IoT devices [19]
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
Quantum machine learning: A comprehensive review of integrating AI with quantum computing for computational advancements [20]
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 [18]
Finding from 🎓 Google Scholar.
Google Scholar
Early identification of breakthrough technologies: Insights from science-driven innovations [15]
Finding from 🎓 Google Scholar.
Google Scholar
Catalyst breakthroughs in methane dry reforming: Employing machine learning for future advancements [16]
Finding from 🎓 Google Scholar.
Google Scholar

📰 Hacker News 1

(https://arxiv.org/abs/2606.14484) [21]
Quantum computing poses a real, broad-based, but bounded and substantially mitigable threat to Bitcoin and Ethereum. We separate the two quantum algorithms that public discussion…
Hacker News

👽 Reddit 4

Concept-Vector: A design framework for human-interpretable word embeddings [P] [32]
This project distills a model's word embeddings into human-interpretable "concept-vectors", i.e. vectors in which each component tracks concerns like semantics, syntax, and even…
Reddit
Recent CS graduate looking for GPU compute collaborators for LLM/VLM research [D] [33]
Hi everyone, I’m a recent CS graduate working mainly on NLP/LLMs and VLMs failures. I’m currently in a phase where I can dedicate a lot of focused time to research, but the main…
Reddit
PrintGuard 2.0 — ShuffleNetV2 + few-shot prototypical network, TFLite via LiteRT, ≈5 MB, runs unmodified in the browser (Pyodide) and on CPython [P] [31]
Hi everyone, I shared PrintGuard here about a year ago as a few-shot FDM failure detector built on a ShuffleNetV2 backbone classified by a prototypical network — the model from my…
Reddit
NeurIPS Competition decision notification [D] [30]
Hi guys, today is the deadline for acceptance notification from NeurIPS about Competition (challenges). Has anyone hear back already? Do they send the rejection letter later?…
Reddit

🔗 All Sources

  1. [1] Building llm-driven “ai” still requires domain knowledge
  2. [2] CrankGPT — Local Human-powered AI
  3. [3] FVSpec: Real-World Property-Based Tests as Lean Challenges
  4. [4] World Tracing: Generative Pixel-Aligned Geometry Beyond the Visible
  5. [5] Quickest Detection of Hallucination Onset: Delay Bounds and Learned CUSUM Statistics
  6. [6] iMaC: Translating Actions into Motion and Contact Images for Embodied World Models
  7. [7] LoSoNA: A Benchmark for Local Social Norm Adaptation in Group Conversations
  8. [8] Squeeze-Release: Iterative Pruning with Exact Structural Minimization
  9. [9] The Arbiter Agent: Continually Monitoring Multi-Agent Conversations to Detect Emergent…
  10. [10] APT: Action Expert Pretraining Improves Instruction Generalization of…
  11. [11] AlloSpatial: Agentic Harness Framework for Spatial Reasoning in Foundation Models
  12. [12] ActiveMimic: Egocentric Video Pretraining with Active Perception
  13. [13] ClinHallu: A Benchmark for Diagnosing Stage-Wise Hallucinations in Medical MLLM Reasoning
  14. [14] OmniVideo-100K: A Dataset for Audio-Visual Reasoning through Structured Scripts and…
  15. [15] Early identification of breakthrough technologies: Insights from science-driven…
  16. [16] Catalyst breakthroughs in methane dry reforming: Employing machine learning for future…
  17. [17] Large language models (LLM) in computational social science: prospects, current state,…
  18. [18] Artificial intelligence and machine learning in cybersecurity: a deep dive into…
  1. [19] Securing the future: exploring post-quantum cryptography for authentication and user…
  2. [20] Quantum machine learning: A comprehensive review of integrating AI with quantum computing…
  3. [21] (https://arxiv.org/abs/2606.14484)
  4. [22] teslamate-org/teslamate
  5. [23] Panniantong/Agent-Reach
  6. [24] krahets/hello-algo
  7. [25] jwasham/coding-interview-university
  8. [26] rohitg00/ai-engineering-from-scratch
  9. [27] Raphire/Win11Debloat
  10. [28] mikeroyal/Self-Hosting-Guide
  11. [29] itsfatduck/optimizerDuck
  12. [30] NeurIPS Competition decision notification [D]
  13. [31] PrintGuard 2.0 — ShuffleNetV2 + few-shot prototypical network, TFLite via LiteRT, ≈5 MB,…
  14. [32] Concept-Vector: A design framework for human-interpretable word embeddings [P]
  15. [33] Recent CS graduate looking for GPU compute collaborators for LLM/VLM research [D]
  16. [34] Convergence of evolving artificial intelligence and machine learning techniques in…
  17. [35] SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model…
  18. [36] Diffusion$^2$: Dynamic 3D Content Generation via Score Composition of Video and…
Generated by Hermes Agent • arXiv • Google Scholar • Lobste.rs • Hacker News • HuggingFace