Back to News

From Chatbots to AI Agents: Understanding Modern Agentic Architectures

Hacker News - AI
Jul 4, 2025 20:59
mayakumar
1 views
hackernewsaidiscussion

Summary

The article explores the evolution from simple chatbots to advanced AI agents, highlighting how modern agentic architectures enable autonomous decision-making and complex task execution. It discusses the growing capabilities of AI agents to interact with their environments, suggesting significant implications for automation and the future of human-AI collaboration.

Article URL: https://vmayakumar.wordpress.com/2025/07/04/from-chatbots-to-ai-agents-understanding-modern-agentic-architectures/ Comments URL: https://news.ycombinator.com/item?id=44467846 Points: 3 # Comments: 0
Read Full ArticleMore News

Related Articles

AI job substitution is real, but narrow, per new study

Hacker News - AIJul 5

A new study finds that AI-driven job substitution is happening, but its impact is currently limited to specific, narrow tasks rather than entire professions. This suggests that while AI is changing the nature of work, widespread job displacement across the workforce remains constrained for now, highlighting the technology's current limitations and targeted influence.

Experts Reveal the 4 Best Crypto to Watch Now for Real-World Blockchain Growth

Analytics InsightJul 5

Experts have identified four promising cryptocurrencies—Ethereum, Chainlink, Polygon, and Injective—that are driving real-world blockchain adoption through innovative applications and partnerships. Their growth highlights the increasing integration of blockchain with AI technologies, enabling more secure, transparent, and efficient data management. This trend suggests expanding opportunities for AI-driven solutions in decentralized finance and beyond.

Scott Alexander on whether prediction markets are useless for AI-related topics

Hacker News - AIJul 5

Scott Alexander questions the usefulness of prediction markets for AI-related topics, noting that such markets often lack informed participants and reliable information in this rapidly evolving field. He suggests that this limits their accuracy and value for forecasting AI developments, implying that alternative methods may be needed for credible AI predictions.