Carlos's Debrief

June 18, 2026 11:00
0ArXiv Papers
41Web Findings
41Total 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 18, 2026 11:00 — Curated by Hermes Research Scout

⚡ Quick Summary

📰 News Headlines

🌐 Web Findings

🤗 HuggingFace Papers 17

On-policy self-distillation (OPSD) trains a model on its own rollouts and uses a frozen copy to provide dense token-level targets conditioned on a reference target. This works…
▲ 1HuggingFace Papers
We show the standard basis of transformer hidden states already provides a training-free, architecture-general feature basis. Individual dimensions encode semantic content via…
▲ 1HuggingFace Papers
Multi-agent LLM systems share state through memory stores, vector indices, and tool registries. We model such sharing as long-running read-generate-write operations under…
HuggingFace Papers
Reinforcement Learning with Verifiable Rewards algorithms like GRPO have emerged as the dominant post-training paradigm for complex reasoning in LLMs, yet commonly suffer from…
▲ 8HuggingFace Papers
Reinforcement learning pipelines for Large Language Model (LLM) training often rely on manually redesigned environments between stages, requiring practitioners to heuristically…
▲ 11HuggingFace Papers
Reinforcement learning (RL) has become a representative post-training paradigm for LLMs, enabling strong reasoning and agentic capabilities. However, rollout generation remains a…
▲ 12HuggingFace Papers
Current benchmarks for computer-use agents evaluate models in impersonal environments. This leaves a gap between evaluation and deployment where personal assistants are expected…
▲ 2HuggingFace Papers
Motion forecasting is central to visual intelligence: agents must anticipate how objects will move in order to plan actions, reason about physical interactions, and synthesize…
▲ 7HuggingFace Papers
Multi-turn tool-use RL is bottlenecked by the rapid depletion of informative samples in static datasets. We observe that the gradient signal in GRPO concentrates on tasks with the…
▲ 2HuggingFace Papers
A useful phone agent needs to be personally intelligent. It should reason over a user's identity, history, and preferences as they exist on the device, not just follow isolated…
▲ 1HuggingFace Papers
Turkish is agglutinative: meaning is carried by morphemes, yet the subword tokenizers that drive modern language models split words by corpus statistics, fragmenting semantically…
▲ 1HuggingFace Papers
Predictive code completion greatly accelerates how quickly developers work. In spreadsheets, despite being much more common, such auto-completion features are virtually…
HuggingFace Papers
Multicultural multi-agent systems are increasingly deployed in globally diverse settings, where different agents are grounded in different cultural backgrounds. Existing cultural…
▲ 7HuggingFace Papers
Vision Transformers (ViTs) have become a dominant architecture for visual representation learning, providing exceptionally strong and broadly reusable backbone features. However,…
▲ 4HuggingFace Papers
Score- and flow-matching models often rely on preference-based reinforcement learning for two purposes: aligning with subjective preferences and, surprisingly, recovering…
▲ 4HuggingFace Papers
As an increasing majority of global video content is consumed on social platforms for interactive social purposes, video generation models built for social worlds are important…
▲ 7HuggingFace Papers
The Network Data Analytics Function (NWDAF) is central to enabling zero-touch network management in fifth-generation (5G) networks by supporting real-time analytics and…
HuggingFace Papers

🧪 Semantic Scholar 2

The confluence of new technologies with artificial intelligence (AI) and machine learning (ML) analytical techniques is rapidly advancing the field of precision oncology,…
📊 152 citesSemantic Scholar
Machine learning is increasingly being applied in polymer chemistry to link chemical structures to macroscopic properties of polymers and to identify chemical patterns in the…
📊 117 citesSemantic Scholar

📝 OpenReview 3

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
The development of video diffusion models unveils a significant challenge: the substantial computational demands. To mitigate this challenge, we note that the reverse process of…
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

💻 GitHub Trending 8

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
⭐ 14.2kGitHub Trending
Kilo is the all-in-one agentic engineering platform. Build, ship, and iterate faster with the most popular open source coding agent.
⭐ 21.7kGitHub Trending
The open-source, cross-platform API client for GraphQL, REST, WebSockets, SSE and gRPC. With Cloud, Local and Git storage.
⭐ 38.6kGitHub Trending
The sandbox agent framework.
⭐ 5.4kGitHub Trending
ASP.NET Core is a cross-platform .NET framework for building modern cloud-based web applications on Windows, Mac, or Linux.
⭐ 38.1kGitHub Trending
Free and Open Source Machine Translation API. Self-hosted, offline capable and easy to setup.
⭐ 14.9kGitHub Trending
GLM-5: From Vibe Coding to Agentic Engineering
⭐ 4.0kGitHub Trending
Official Python inference and LoRA trainer package for the LTX-2 audio–video generative model.
⭐ 7.4kGitHub Trending

🦞 Lobste.rs 2

A deep dive into yay v13 for Arch Linux: Lua hook support, PKGBUILD last-update visibility, and practical automation patterns after the AUR security incident.
Lobste.rs
Finding from 🦞 Lobste.rs.
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

👽 Reddit 2

I just read in a comment of another Post that an ACL paper is considered a weak signal in the community apparently, and having an ACL first author paper is not a great plus for…
Reddit
Hello everyone, I have a computer vision paper ready for submission, a coauthor have suggested submitting it to AAAI. However last year computer vision papers have gotten a very…
Reddit

🔗 All Sources

  1. [1] CVE-2026-42530: Use after free in nginx HTTP/3 QUIC module
  2. [2] yay v13 and the AURpocalypse
  3. [3] The Reward Was in Your Data All Along: Correcting Flow Matching with Discriminator-Guided…
  4. [4] MaineCoon: Pursuing A Real-Time Audio-Visual Social World Model
  5. [5] Seeing Before Reasoning: Decoupling Perception and Reasoning for Shortcut-Resilient…
  6. [6] MolmoMotion: Forecasting Point Trajectories in 3D with Language Instruction
  7. [7] ViT-Up: Faithful Feature Upsampling for Vision Transformers
  8. [8] Bag of Dims: Training-Free Mechanistic Interpretability via Dimension-Level Sign Patterns
  9. [9] iOSWorld: A Benchmark for Personally Intelligent Phone Agents
  10. [10] MyPCBench: A Benchmark for Personally Intelligent Computer-Use Agents
  11. [11] RODS: Reward-Driven Online Data Synthesis for Multi-Turn Tool-Use Agents
  12. [12] A Benchmark and Framework for Evaluating Next Action Predictions in Spreadsheets
  13. [13] LLM-Enabled NWDAF: A Step Toward AI-Native 6G Network Intelligence
  14. [14] STARE: Surprisal-Guided Token-Level Advantage Reweighting for Policy Entropy Stability
  15. [15] Morpheus: A Morphology-Aware Neural Tokenizer and Word Embedder for Turkish
  16. [16] From Trainee to Trainer: LLM-Designed Training Environment for RL with Multi-Agent…
  17. [17] EfficientRollout: System-Aware Self-Speculative Decoding for RL Rollouts
  18. [18] Beyond Alignment: Value Diversity as a Collective Property in Multicultural Agent Systems
  19. [19] Verified Detection and Prevention of Concurrency Anomalies in Multi-Agent Large Language…
  20. [20] Artificial intelligence in ESL/EFL education: Evidence from recent reviews (2024–2025)
  21. [21] Early identification of breakthrough technologies: Insights from science-driven…
  1. [22] Catalyst breakthroughs in methane dry reforming: Employing machine learning for future…
  2. [23] Large language models (LLM) in computational social science: prospects, current state,…
  3. [24] Artificial intelligence and machine learning in cybersecurity: a deep dive into…
  4. [25] Securing the future: exploring post-quantum cryptography for authentication and user…
  5. [26] Quantum machine learning: A comprehensive review of integrating AI with quantum computing…
  6. [27] zai-org/GLM-5
  7. [28] withastro/flue
  8. [29] Kilo-Org/kilocode
  9. [30] Kong/insomnia
  10. [31] dotnet/aspnetcore
  11. [32] owainlewis/awesome-artificial-intelligence
  12. [33] Lightricks/LTX-2
  13. [34] LibreTranslate/LibreTranslate
  14. [35] Is ACL now irrelevant? [D]
  15. [36] Any idea if AAAI will be harsh on computer vision paper as last year? [R]
  16. [37] Convergence of evolving artificial intelligence and machine learning techniques in…
  17. [38] Machine Learning in Polymer Research
  18. [39] SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model…
  19. [40] Diffusion$^2$: Dynamic 3D Content Generation via Score Composition of Video and…
  20. [41] TPDiff: Temporal Pyramid Video Diffusion Model