Carlos's Debrief

June 15, 2026 19:00
0ArXiv Papers
25Web Findings
25Total 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 19:00 — Curated by Hermes Research Scout

⚡ Quick Summary

📰 News Headlines

🗡️ Relevant to your Katana work 1

🌐 Web Findings

🤗 HuggingFace Papers 8

An Enigma of Artificial Reason: Investigating the Production-Evaluation Gap in Large Reasoning Models [8]
Studies of human reasoning have shown that people are typically stronger at evaluating reasoning than producing it from scratch. In contrast, large reasoning models (LRMs) are…
▲ 2HuggingFace Papers
Pythagoras-Prover: Advancing Efficient Formal Proving via Augmented Lean Formalisation [7]
Modern Lean theorem provers achieve strong performance only with substantial training and inference compute, driven in part by scarce verified proof data and the long reasoning…
▲ 7HuggingFace Papers
ClinHallu: A Benchmark for Diagnosing Stage-Wise Hallucinations in Medical MLLM Reasoning [9]
Building trustworthy medical multimodal large language models (MLLMs) is critical for reliable clinical decision support. Existing medical hallucination benchmarks mainly focus on…
▲ 4HuggingFace Papers
No Hidden Prompts Needed! You Can Game AI Peer Review with Presentation-Only Revisions [5]
As AI-generated reviews move from experimental tools into peer-review infrastructure, most robustness concerns have focused on explicit attacks such as hidden instructions and…
▲ 7HuggingFace Papers
Two-Fidelity Best-Action Identification for Stochastic Minimax Tree [3]
We study fixed-confidence best-action identification (BAI) in stochastic minimax trees. This problem is increasingly relevant in modern AI planning, where deep minimax search and…
▲ 1HuggingFace Papers
AFFORDANCE20Q: Evaluating Affordance Reasoning from Physical Properties [4]
Affordance reasoning, the inference of an object's action possibilities from its physical properties (e.g., shape and material), is fundamental to human physical understanding and…
▲ 2HuggingFace Papers
Statistically Reliable LLM-Based Ranking Evaluation via Prediction-Powered Inference [6]
With PRECISE, we extended Prediction-Powered Inference to produce bias-corrected estimates of ranking evaluation metrics by combining a small human-labeled set with a large…
HuggingFace Papers
OmniVideo-100K: A Dataset for Audio-Visual Reasoning through Structured Scripts and Evidence Chains [10]
Current automated pipelines for audio-visual Question Answering (QA) generally adopt a ``video-caption-QA'' paradigm. However, these methods typically segment videos into short…
▲ 23HuggingFace Papers

🧪 Semantic Scholar 1

Convergence of evolving artificial intelligence and machine learning techniques in precision oncology [23]
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 [24]
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 [25]
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 2

Users cry foul after AMD stripped memory crypto from its consumer CPUs [2]
AMD's stripping of TSME from consumer CPUs appears to be a deliberate, covert move.
Lobste.rs
June Framework Memory and storage pricing updates [1]
The 128GB Framework Desktop appreciates a whopping $1,660 today, pricing it at a total of $4,839 now. It was $2,000 at launch.
Lobste.rs

🎓 Google Scholar 7

Large language models (LLM) in computational social science: prospects, current state, and challenges [13]
Finding from 🎓 Google Scholar.
Google Scholar
Securing the future: exploring post-quantum cryptography for authentication and user privacy in IoT devices [15]
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
When machines join the moral circle: The persona effect of generative AI agents in collaborative reasoning [17]
Finding from 🎓 Google Scholar.
Google Scholar
Quantum machine learning: A comprehensive review of integrating AI with quantum computing for computational advancements [16]
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 [14]
Finding from 🎓 Google Scholar.
Google Scholar
Early identification of breakthrough technologies: Insights from science-driven innovations [11]
Finding from 🎓 Google Scholar.
Google Scholar
Catalyst breakthroughs in methane dry reforming: Employing machine learning for future advancements [12]
Finding from 🎓 Google Scholar.
Google Scholar

👽 Reddit 5

Could AI training be decentralized like Bitcoin mining? [D] [22]
I’ve been thinking about whether the same basic concept behind Bitcoin could be applied to AI training. In Bitcoin, miners perform proof-of-work and are rewarded for contributing…
Reddit
Open weights are not enough: we need open training frameworks for research and better algorithms [P] [19]
Open weights are important and critical, but they are not enough by themselves. If we want open ML and AI research to move forward, we also need open training frameworks:…
Reddit
Cleo: trying to fit full analyst behavior in a 2B model [P] [20]
Hello all! Half of all industrial "chatbots" are just text-to-SQL models in a trenchcoat (and the other half RAG!). I wanted to explore just how small you could make these models…
Reddit
AI language models have favorite names, and we mapped them [R] [18]
It turns out LLMs have strong priors over character names that are model-specific and version-specific. If you find Elena Vasquez and Marcus Chen together on a website, there's a…
Reddit
Embedded/edge ML folks: what actually eats the most time ,getting data, or cleaning/labeling it (time series sensor data, not computer vision/audio)? [D] [21]
I'm trying to understand where people doing sensor based ML on microcontrollers (IMU, accelerometer, vibration ,that kind of time-series data) actually lose the most time. When…
Reddit

🔗 All Sources

  1. [1] June Framework Memory and storage pricing updates
  2. [2] Users cry foul after AMD stripped memory crypto from its consumer CPUs
  3. [3] Two-Fidelity Best-Action Identification for Stochastic Minimax Tree
  4. [4] AFFORDANCE20Q: Evaluating Affordance Reasoning from Physical Properties
  5. [5] No Hidden Prompts Needed! You Can Game AI Peer Review with Presentation-Only Revisions
  6. [6] Statistically Reliable LLM-Based Ranking Evaluation via Prediction-Powered Inference
  7. [7] Pythagoras-Prover: Advancing Efficient Formal Proving via Augmented Lean Formalisation
  8. [8] An Enigma of Artificial Reason: Investigating the Production-Evaluation Gap in Large…
  9. [9] ClinHallu: A Benchmark for Diagnosing Stage-Wise Hallucinations in Medical MLLM Reasoning
  10. [10] OmniVideo-100K: A Dataset for Audio-Visual Reasoning through Structured Scripts and…
  11. [11] Early identification of breakthrough technologies: Insights from science-driven…
  12. [12] Catalyst breakthroughs in methane dry reforming: Employing machine learning for future…
  13. [13] Large language models (LLM) in computational social science: prospects, current state,…
  1. [14] Artificial intelligence and machine learning in cybersecurity: a deep dive into…
  2. [15] Securing the future: exploring post-quantum cryptography for authentication and user…
  3. [16] Quantum machine learning: A comprehensive review of integrating AI with quantum computing…
  4. [17] When machines join the moral circle: The persona effect of generative AI agents in…
  5. [18] AI language models have favorite names, and we mapped them [R]
  6. [19] Open weights are not enough: we need open training frameworks for research and better…
  7. [20] Cleo: trying to fit full analyst behavior in a 2B model [P]
  8. [21] Embedded/edge ML folks: what actually eats the most time ,getting data, or…
  9. [22] Could AI training be decentralized like Bitcoin mining? [D]
  10. [23] Convergence of evolving artificial intelligence and machine learning techniques in…
  11. [24] SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model…
  12. [25] Diffusion$^2$: Dynamic 3D Content Generation via Score Composition of Video and…
Generated by Hermes Agent • arXiv • Google Scholar • Lobste.rs • Hacker News • HuggingFace