AI Briefing#kakao
The latest AI and developer news about #kakao, with the original source and a short summary.
The latest AI and developer news about #kakao, with the original source and a short summary.
Kakao's Kanana-2-v-decide-3b-2611 is a decision model that accepts text, JSON, or chat history with optional images to output probabilities for choice, yes/no, or scale-based answers.
Kakao has released the 3B-scale multimodal decision-making model Kanana-2-v-decide as open source.
The Kakao Recommendation Team applied Data Catalog and Analyst Persona to unify AI analysis standards.
The previously unobservable international MO segment was converted to a pre-allocation, post-observation structure, securing a conversion rate in the 90% range.
Kakao has released the VODs of key sessions from AI Sail Summit 26, held in Busan on September 29.
Kanana-2-vision-encoder recorded the global highest scores in 8 out of 9 domains.
All sessions of if(kakao)26, held on October 13–14, will be available for online viewing by anyone.
Kakao introduced a personalized ranking model combining GDCN and MoE, improving the valid play rate by 20%.
Kakao will terminate the beta service of its standalone AI app 'Kanana' on October 15, 2026, and integrate its features into existing platforms such as KakaoTalk.
Kakao has introduced interest-based networking and deep-dive speaker dialogue programs at if(kakao)26.
Kakao integrated LM-SPT into Kanana-o, improving voice efficiency and style control, achieving 94.50 on the Korean InstructTTSEval benchmark, close to Gemini-2.5-flash-preview-tts's 95.38.
Kakao and Samsung Electronics held a joint hackathon to solve AI livelihood issues as the first collaboration between their digital talent development programs.
Automated analysis procedures by integrating skills and context documents into the existing Hadoop environment without a new platform.
The Kanana model achieved superior performance with 11T tokens, half the amount of global targets, and Kakao is reviewing industry-academia collaborations including GPU resource support.
This is a post explaining the problems from the 2026 Kakao Group New Crew Recruitment Coding Test Round 1.
This post compiles explanations for the 2026 Kakao Group new crew recruitment coding test Round 2 problems.
It traces the cause of report loss in a messaging system back to a race condition and anti-patterns.
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.
The first development log for Kanana-2 summarizes the key decisions made during the pre-training stage.
Agentic capabilities were enhanced without degrading Korean language performance by applying mid-training and a parallel RL pipeline.
Kakao developed Kanana-v-4b-hybrid, a hybrid multimodal language model that generates answers through a thinking process.
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.
Delivers Qwen3-30B-level performance with over 30% improvement in Korean token efficiency, including a reasoning-specialized model
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.