Roadmap of AI Revolution
2020
2020
A New Benchmark in Language Understanding
GPT-3: Emerged as the most advanced AI language model to date, showcasing unprecedented capabilities in natural language understanding and generation.
2022
2022
Generative AI Comes to the Forefront
Image Generation: Midjourney, Stable Diffusion
Large Language Models (LLMs): GPT-3.5, ChatGPT bring conversational AI to the mainstream.
2023
2023
Accelerated AI Evolution and Diversification
Image Generation: DALL-E 3
Leading LLMs/Models: Llama 65B, GPT-4, Claude, Gemini
New Entrants/Specialized Models: X.ai (Grok AI), DeepSeek, Mistral 7B
2024
2024
Conversational AI and Deepening AI Integration
Voice Agents Evolve: AI voice agents achieve a new level of naturalness, sounding remarkably human-like, blurring the lines between human and synthetic speech.
More specialized AI tools emerge.
Vibe Coding: AI integrated development environments (IDEs) like Cursor become more prevalent, enhancing developer productivity through intelligent code suggestions, error detection, and refactoring.
2025
2025
The Year of AI Agenta and New Protocols for Agentic AI
The Rise of Agents: This year is definitively marked as the year of AI Agents, diving into the thrilling world of self-running AI systems. TechChase kicks off major development projects in this exciting new area.
Agent Development Frameworks Mature: New frameworks emerge to facilitate agent creation and deployment, including Agency Swarm, OpenAI Agents SDK, and Google Agent Development Kit.
Enabling Agent Tools \ Communication:
- MCP (Model Context Protocol): Announced by Anthropic in November 2024, this protocol provides agents with deeper access to tools and extended context, enhancing their capabilities.
- A2A (Agent to Agent Protocol): Google introduces this protocol, enabling more robust and standardized communication channels between different AI Agents, paving the way for complex collaborative AI systems.
AI Coding Agents: Building on earlier advancements, this year sees significant progress in AI systems capable of generating, refining, and even self-improving code and developing other agents. Pioneering examples include specialized coding agents like OpenAI Codex, Claude Code, and Google Jules, marking a shift towards more autonomous software development and AI model creation.
Because the future isn’t just agent-powered; it’s agent-connected.
