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Research#llm📝 BlogAnalyzed: Dec 28, 2025 21:57

Fix for Nvidia Nemotron Nano 3's forced thinking – now it can be toggled on and off!

Published:Dec 28, 2025 15:51
1 min read
r/LocalLLaMA

Analysis

The article discusses a bug fix for Nvidia's Nemotron Nano 3 LLM, specifically addressing the issue of forced thinking. The original instruction to disable detailed thinking was not working due to a bug in the Lmstudio Jinja template. The workaround involves a modified template that enables thinking by default but allows users to toggle it off using the '/nothink' command in the system prompt, similar to Qwen. This fix provides users with greater control over the model's behavior and addresses a usability issue. The post includes a link to a Pastebin with the bug fix.
Reference

“The instruction 'detailed thinking off' doesn't work...this template has a bugfix which makes thinking on by default, but it can be toggled off by typing /nothink at the system prompt (like you do with Qwen).”

Permalinkr/LocalLLaMA
Research#llm📝 BlogAnalyzed: Dec 27, 2025 17:02

Xbox Full-Screen Experience Support Arrives on Lenovo Legion Go with New Update

Published:Dec 27, 2025 16:46
1 min read
Toms Hardware

Analysis

This article reports on a software update for the Lenovo Legion Go that enhances its integration with the Xbox ecosystem. The key improvement is the addition of native Xbox Full-Screen Experience (FSE) support, accessible through a toggle within Legion Space. Furthermore, Legion Space is now available as a widget in the Xbox Game Bar, providing users with quicker access to Lenovo's gaming hub. This update aims to provide a more seamless and console-like experience for Legion Go users who also utilize Xbox services. The article is concise and clearly outlines the benefits of the update for gamers.
Reference

“Lenovo has added new shortcuts and a native Xbox Game Bar widget to expand Xbox FSE functionality, along with an FSE toggle right inside Legion Space.”

PermalinkToms Hardware
Research Paper#Blockchain Security, Smart Contract Analysis, Ethereum🔬 ResearchAnalyzed: Jan 3, 2026 19:51

Raven: Mining Ethereum Defensive Patterns

Published:Dec 27, 2025 14:47
1 min read
ArXiv

Analysis

This paper introduces Raven, a framework for identifying and categorizing defensive patterns in Ethereum smart contracts by analyzing reverted transactions. It's significant because it leverages the 'failures' (reverted transactions) as a positive signal of active defenses, offering a novel approach to security research. The use of a BERT-based model for embedding and clustering invariants is a key technical contribution, and the discovery of new invariant categories demonstrates the practical value of the approach.
Reference

“Raven uncovers six new invariant categories absent from existing invariant catalogs, including feature toggles, replay prevention, proof/signature verification, counters, caller-provided slippage thresholds, and allow/ban/bot lists.”

PermalinkArXiv
Research#llm🔬 ResearchAnalyzed: Jan 4, 2026 09:15

TOGGLE: Temporal Logic-Guided Large Language Model Compression for Edge

Published:Dec 18, 2025 18:27
1 min read
ArXiv

Analysis

The article introduces TOGGLE, a method for compressing Large Language Models (LLMs) specifically for edge computing. The use of temporal logic to guide the compression process is a key aspect, potentially leading to more efficient and accurate models for resource-constrained environments. The focus on edge computing suggests a practical application, addressing the need for LLMs on devices with limited processing power and memory.
Reference

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PermalinkArXiv