# Nov 2, 2025

## The Smol Training Playbook
**The Smol Training Playbook** reveals essential strategies for developing **world-class LLMs**, emphasizing practical techniques and community-driven insights from the Hugging Face ecosystem.

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## Tongyi DeepResearch – open-source 30B MoE Model that rivals OpenAI DeepResearch
**Tongyi DeepResearch** emerges as the first fully open-source Web Agent, achieving **state-of-the-art performance** with scores of 32.9 on Humanity’s Last Exam and 75 on xbench-DeepSearch, surpassing all existing agents.

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## Policy, privacy and post-quantum: anonymous credentials for everyone
**Anonymous credentials (AC)** offer a method to **rate-limit AI agents** without compromising user privacy, allowing for fine-grained security policies that adapt to the evolving landscape of web traffic driven by AI.

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## Context engineering
**Context engineering** evolves from traditional prompt engineering, emphasizing a dynamic and structured approach to inputting tokens into LLMs, enhancing their decision-making capabilities in complex systems.

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## Is Your Bluetooth Chip Leaking Secrets via RF Signals?
**Bluetooth chips are vulnerable** to machine learning-assisted side-channel attacks, allowing attackers to recover full encryption keys from **90,000 traces** captured at a distance of one meter, affecting millions of devices globally, including wearables and IoT products.

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## [R] TempoPFN: Synthetic Pretraining of Linear RNNs for Zero-Shot Timeseries Forecasting
**TempoPFN** is a **univariate time series foundation model** that excels in **zero-shot forecasting** by leveraging synthetic data, utilizing a **GatedDeltaProduct architecture** for enhanced performance and efficiency.

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## [P] Beyond Simple Retrieval — Smarter Context for Smarter LLMs

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## [P] Introducing Hephaestus: AI workflows that build themselves as agents discover what needs to be done