# Nov 1, 2025

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

## New analog chip that is 1k times faster than high-end Nvidia GPUs
- **China's new analog chip** outperforms high-end Nvidia GPUs by **1,000 times**, addressing energy and data constraints in AI and 6G applications, as detailed in a study published in _Nature Electronics_ on October 13.

## Signs of introspection in large language models
- **Emergent introspective awareness** in large language models, particularly in Claude Opus 4 and 4.1, suggests they can monitor and control their internal states, albeit with limited reliability and scope.

## Sustainable memristors from shiitake mycelium for high-frequency bioelectronics
- **Shiitake mycelium** serves as a sustainable substrate for memristors, achieving operational frequencies up to **5.85 kHz** with an accuracy of **90 ± 1%**, showcasing its potential in bioelectronics and neuromorphic computing.

## How to benchmark open-ended, real-world goal achievement by computer-using LLMs?
- **Benchmarking** open-ended, real-world goal achievement by LLMs reveals that while agents excel in **verbal tasks**, they struggle with **real-world actions**, often leading to inflated self-assessments of their performance.

## Korea Joins AI Industrial Revolution: NVIDIA CEO Jensen Huang Unveils Historic Partnership at APEC Summit
- **South Korea's AI initiative** involves deploying **260,000 NVIDIA GPUs** across various sectors, marking a significant leap towards a **sovereign AI** infrastructure that aims to transform industries like manufacturing and robotics.

## A New Species of Artificial Intelligence: KMS-Stabilized Reasoning with Harmonic Algebra
- **KMS-stabilized reasoning** with harmonic algebra proposes a **theoretical framework** for AI that surpasses classical limits, enabling continuous processing and formal stability guarantees, which could lead to **exponential speedups** in specific problem classes.