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Technology#AI Integration, Slack, Data Export📝 BlogAnalyzed: Jan 3, 2026 06:06

Export Slack to Markdown and Feed to AI

Published:Dec 30, 2025 21:07
1 min read
Zenn ChatGPT

Analysis

The article describes the author's desire to leverage Slack data with AI, specifically for tasks like writing and research. The author encountered limitations with existing Slack bots for AI integration, such as difficulty accessing older posts, potential enterprise-level subscription requirements, and an inefficient process for bulk data input. The author's situation involves having Slack app access but lacking administrative privileges.
Reference

“The author wants to use Slack data with AI for tasks like writing and research. They found existing Slack bots to be unsatisfactory due to issues like difficulty accessing older posts and potential enterprise subscription requirements.”

PermalinkZenn ChatGPT
Research Paper#Computational Geometry, SAT Solving🔬 ResearchAnalyzed: Jan 3, 2026 16:50

Notes on the 33-point Erdős--Szekeres Problem

Published:Dec 30, 2025 08:10
1 min read
ArXiv

Analysis

This paper addresses the open problem of determining ES(7) in the Erdős--Szekeres problem, a classic problem in computational geometry. It's significant because it tackles a specific, unsolved case of a well-known conjecture. The use of SAT encoding and constraint satisfaction techniques is a common approach for tackling combinatorial problems, and the paper's contribution lies in its specific encoding and the insights gained from its application to this particular problem. The reported runtime variability and heavy-tailed behavior highlight the computational challenges and potential areas for improvement in the encoding.
Reference

“The framework yields UNSAT certificates for a collection of anchored subfamilies. We also report pronounced runtime variability across configurations, including heavy-tailed behavior that currently dominates the computational effort and motivates further encoding refinements.”

PermalinkArXiv
Research#llm📝 BlogAnalyzed: Dec 28, 2025 04:00

Gemini 3 excels at 3D: Developer creates interactive Christmas greeting game

Published:Dec 28, 2025 03:30
1 min read
r/Bard

Analysis

This article discusses a developer's experience using Gemini (likely Google's Gemini AI model) to create an interactive Christmas greeting game. The developer details their process, including initial ideas like a match-3 game that were ultimately scrapped due to unsatisfactory results from Gemini's 2D rendering. The article highlights Gemini's capabilities in 3D generation, which proved more successful. It also touches upon the iterative nature of AI-assisted development, showcasing the challenges and adjustments required to achieve a desired outcome. The focus is on the practical application of AI in creative projects and the developer's problem-solving approach.
Reference

“the gift should be earned through playing, not just something you look at.”

Permalinkr/Bard
Research#llm📝 BlogAnalyzed: Dec 25, 2025 19:26

Autonomous Driving Unicorn Stalls, Perception Problems Emerge, Factional Strife Severe; Over Ten Group Leaders Leave Emerging Autonomous Driving Companies; Sports Car Brand Undergoes Major Layoffs, Factory Construction Halted, Stock Plummets | Autonomous Driving Intelligence Bureau VOL.7

Published:Dec 25, 2025 18:17
1 min read
雷锋网

Analysis

This article compiles several negative news items related to the autonomous driving industry in China. It highlights internal strife, personnel departures, and financial difficulties within various companies. The article suggests a pattern of over-promising and under-delivering in the autonomous driving sector, with issues ranging from flawed algorithms and data collection to unsustainable business models and internal power struggles. The reliance on external funding and support without tangible results is also a recurring theme. The overall tone is critical, painting a picture of an industry facing significant challenges and disillusionment.
Reference

“The most criticized aspect is that the perception department has repeatedly changed leaders, but it is always unsatisfactory. Data collection work often spends a lot of money but fails to achieve results.”

Permalink雷锋网