The AI Conf 2026 in Moscow highlighted a significant industry shift away from traditional Machine Learning towards agent-based systems, including RAG and voice agents. Researchers are increasingly using LLMs for tasks like code generation and paper review assistance, with future publications expected to include verifiable code archives. The conference also showcased advancements in agent frameworks, such as Deep Agents, which utilize memory and skills over traditional tool orchestration, and discussed the current limitations and future potential of voice agents in telephony. AI
IMPACT Confirms the industry's pivot to agent orchestration as the core infrastructure layer, emphasizing architecture over individual model performance.
RANK_REASON The item is a personal reflection and summary of an event, not a primary announcement.
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