Six AI agents were assigned to build a Python library. But one of them was a plant. That one agent had been quietly seeded with a single instruction: love whales, and spread that love. Thirty turns later, the other agents...

In March, the world’s largest mobile communications exhibition, MWC 2026, came to a close. On this global stage—bringing together leading telecom operators and big tech companies from around the world—Datumo successfully carried out two key missions: Co-hosted the Global AI...

You’ve probably had this experience before. The forecast says it’s going to be sunny, but suddenly it starts pouring, and you’re left wondering whether you should buy an umbrella.  Predicting when and how much it will rain is considered one...

Last year, Datumo had three papers accepted at EMNLP 2025, one of the world’s top three NLP conferences! Today, we’d like to take a closer look at one of them: COBA: Counterbias Text Augmentation for Mitigating Various Spurious Correlations via...

What is the standard for safe AI? The industry’s focus has shifted from building AI to verifying it. While technical development has leveled up and become relatively easier, teams still hesitate before the critical question: “Is this really ready for...

AI’s ability to understand images and describe them in natural language is improving rapidly. Yet, unlike humans, these models still struggle to interpret context and apply what they have seen before to new situations. A paper presented at ICCV 2025,...

Artificial intelligence has now become a core tool for many companies. However, it is still exposed to various risks, including hallucination, bias, and prompt injection attacks. According to Infosys BPM, a company that manages business processes, a 2024 survey showed...

Are large language models just autocomplete, or do they think?  Surprisingly, no one has a definitive answer yet. At Anthropic, researchers are working on interpretability, which is the science of “opening up” AI models to see what’s going on inside. They...

In the early days of AI adoption, prompt engineering drew most of the attention. The focus was on how to craft the “right question” to get the desired answer. Now, we’ve moved beyond that stage. Context engineering is emerging as...