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Technology#AI Image Generation📝 BlogAnalyzed: Jan 3, 2026 07:05

Image Upscaling and AI Correction

Published:Jan 3, 2026 02:42
1 min read
r/midjourney

Analysis

The article is a user's question on Reddit seeking advice on AI upscalers that can correct common artifacts in Midjourney-generated images, specifically focusing on fixing distorted hands, feet, and other illogical elements. It highlights a practical problem faced by users of AI image generation tools.

Key Takeaways

Reference

“Outside of MidJourney, are there any quality AI upscalers that will upscale it, but also fix the funny feet/hands, and other stuff that looks funky”

Permalinkr/midjourney
Research#llm🏛️ OfficialAnalyzed: Jan 3, 2026 06:33

ChatGPT's Puzzle Solving: Impressive but Flawed Reasoning

Published:Jan 2, 2026 04:17
1 min read
r/OpenAI

Analysis

The article highlights the impressive ability of ChatGPT to solve a chain word puzzle, but criticizes its illogical reasoning process. The example of using "Cigar" for the letter "S" demonstrates a flawed understanding of the puzzle's constraints, even though the final solution was correct. This suggests that the AI is capable of achieving the desired outcome without necessarily understanding the underlying logic.
Reference

“ChatGPT solved it easily but its reasoning is illogical, even saying things like using Cigar for the letter S.”

Permalinkr/OpenAI
Research Paper#Large Language Models (LLMs), Multilingual NLP, Reasoning Evaluation🔬 ResearchAnalyzed: Jan 3, 2026 19:42

Reasoning-Answer Misalignment in Multilingual LLMs

Published:Dec 27, 2025 21:55
1 min read
ArXiv

Analysis

This paper addresses a crucial gap in evaluating multilingual LLMs. It highlights that high accuracy doesn't guarantee sound reasoning, especially in non-Latin scripts. The human-validated framework and error taxonomy are valuable contributions, emphasizing the need for reasoning-aware evaluation.
Reference

“Reasoning traces in non-Latin scripts show at least twice as much misalignment between their reasoning and conclusions than those in Latin scripts.”

PermalinkArXiv