The year 2025 has emerged as a transformative period for language models, marked by significant trends and advancements in the field of artificial intelligence. With the introduction of innovative concepts such as inference-scaling and the emergence of coding agents, the landscape of AI is rapidly evolving.
OpenAI initiated a revolution in reasoning, known as Reinforcement Learning from Verifiable Rewards (RLVR), in September 2024. This groundbreaking approach was further developed in early 2025 with the release of models like o3 and o4-mini. The concept of reasoning has since become a hallmark of models across major AI laboratories. Notably, these reasoning-enhanced models have demonstrated exceptional capabilities in multi-step task management, effective planning, and problem-solving.
The introduction of AI agents has also taken center stage this year. Initially, there was skepticism about the practicality of agents, which are defined as LLM systems capable of executing useful tasks through tool invocation. However, as 2025 progressed, it became clear that agents, particularly in the realms of coding and research, were delivering significant value. The Deep Research pattern, where LLMs meticulously aggregated information over extended periods, has been overshadowed by the efficiency of models like GPT-5 Thinking, which offer comparable results in a fraction of the time.
One of the most notable developments in 2025 was the quiet launch of Claude Code, a coding agent that exemplifies the capabilities of LLM systems in writing, executing, and refining code. This release was a significant milestone, as it marked the arrival of a new category of coding agents that have since gained traction across major AI laboratories, including Codex CLI and Gemini CLI.
Overall, 2025 has been characterized by the proliferation of reasoning models, the rise of effective coding agents, and the successful integration of AI into various applications. As these advancements continue to shape the market, competitors must adapt to the rapidly changing landscape to remain relevant and competitive. The emphasis on reasoning and tool-based agents indicates a shift towards more sophisticated and capable AI systems, setting the stage for future innovations in the industry.
Informational material. 18+.
