AI BriefingKakao news
The latest AI and developer news from Kakao, with short summaries.
Visit website →Finding Real Threats Among Hundreds of Millions of Security Signals — AI Transforms the Paradigm of Security Monitoring
This covers AI-based monitoring that reduces noise and identifies real threats from vast security signals.
From Student to Developer: Learning Reasonable Choices Over Right Answers, from DB and Security to AI
A developer's journey of growth from DB and security to AI, built on reasonable choices rather than right answers.
From Student to Developer: Learning the Flow of Server Development, from Building a Lotto to Improving Legacy Code
Through three onboarding stages, new crews learned the standards of server development through TDD and refactoring.
2026 Kakao Group New Crew Recruitment Coding Test Round 1 Problem Explanation
This is a post explaining the problems from the 2026 Kakao Group New Crew Recruitment Coding Test Round 1.
2026 Kakao Group New Crew Recruitment Coding Test Round 2 Problem Explanations
This post compiles explanations for the 2026 Kakao Group new crew recruitment coding test Round 2 problems.
From Understanding Korean Culture to Screen Control: A Full Rundown of Kanana-V's Expanded Features
Kanana-V is expanding to include understanding of Korean culture and screen control capabilities.
Kanana-o Unveils New Model and API Beta Service
Kanana-o unveiled its new model and API beta service.
In Search of the Lost Report: Race Conditions and Anti-Pattern Removal in Kakao's Messaging System
It traces the cause of report loss in a messaging system back to a race condition and anti-patterns.
Kakao Recruits 100 New Members for AI Ambassador Program 'KANANA 429'
The program expands to three categories—AI experts, creators, and college students—with a five-month activity period and AI usage opportunities worth 1 million won.
Kanana-2 Development Log (1): Focusing on Decision-Making in the Pre-training Stage
The first development log for Kanana-2 summarizes the key decisions made during the pre-training stage.
Kakao Releases Kanana-2: Enhancing Agent Performance with Parallel RL and Mid-training
Agentic capabilities were enhanced without degrading Korean language performance by applying mid-training and a parallel RL pipeline.
Kakao's "Think-then-Answer" Hybrid Multimodal Language Model, Kanana-v-4b-hybrid Development Story
Kakao developed Kanana-v-4b-hybrid, a hybrid multimodal language model that generates answers through a thinking process.
Developing a Lightweight Morphological Analyzer for Mobile: Achieving 200KB with C++ and LOUDS
A case study of developing a morphological analyzer that reduced the final library size to approximately 200KB by using C++ and the LOUDS data structure to overcome strict capacity limits in mobile environments, and improved analysis speed by approximately 17% by optimizing the select0 operation.
Kakao Releases Open-Source 'Kanana-2' Optimized for Agentic AI
Delivers Qwen3-30B-level performance with over 30% improvement in Korean token efficiency, including a reasoning-specialized model
MongoDB 8.0 Introduces 30-47% Write Performance Improvement and 5-Year Long-Term Support
Write throughput improved by up to 47%, support period extended to 5 years, and minor release support introduced for on-premises environments.
Kakao Releases 'Kanana-v-embedding', a 2B Parameter Multimodal Embedding Model, Outperforming Jina v4 in Korean Performance
The Kakao Kanana organization has released 'Kanana-v-embedding', a 2-billion parameter multimodal embedding model, demonstrating superior search performance compared to Jina Embeddings v4 through training on the Korean-specific dataset KoEmbed.
Kakao Enhances Kanana-o Performance: Strengthening Multimodal Instruction Following and Emotional Expressiveness
Emotional expressiveness improved through DPO training and actor recording data, surpassing GPT-4o on Korean image-based benchmarks
AI TOP 100 Competition Retrospective: Building a Full-Stack System in 2 Weeks with AI-Native Development
By consuming 200 million tokens per day and breaking down role boundaries, the typical development timeline of several months was reduced to 2 weeks.
YEYE Is Watching: Kakao's Attack Surface Management Story
This introduces a case study of how Kakao manages its corporate attack surface through **YEYE**.
Kakao Reveals Behind-the-Scenes of 'AI TOP 100' Exam Design to Verify AI Utilization Capabilities
The article introduces an exam design strategy that ensures discrimination and blocks AI's 'click-to-solve' approach through Human-in-the-loop collaboration and dataset personalization.