Back to News

If you want job security, don't give the AI feedback – gibbons

Hacker News - AI
Jul 14, 2025 08:52
toplulz
1 views
hackernewsaidiscussion

Summary

The article argues that providing feedback to AI systems can make them better at automating tasks, potentially threatening the job security of those giving the feedback. It highlights a dilemma for workers: helping improve AI may accelerate their own redundancy, raising important questions about incentives and the future of human roles in AI-driven workplaces.

Article URL: https://gibbons.top/2025/07/13/if-you-want-job-security-dont-give-the-ai-feedback/ Comments URL: https://news.ycombinator.com/item?id=44557791 Points: 2 # Comments: 0
Read Full ArticleMore News

Related Articles

5 AI coding tips every pro should know to actually save time - and stay out of trouble

ZDNet - Artificial IntelligenceJul 14

Despite the hype, AI coding tools may not always make developers faster and can sometimes increase errors, according to a recent study. The article highlights that while AI can automate tasks, professionals should use these tools carefully to avoid mistakes and maximize productivity. This underscores the need for critical oversight and best practices when integrating AI into coding workflows.

3 Best Cryptos to Buy: Cardano, Unilabs, and SUI Blockchain Stand as Most Promising Coins

Analytics InsightJul 14

The article highlights Cardano, Unilabs, and SUI Blockchain as the top cryptocurrencies to watch, emphasizing their innovative use of AI-driven technologies to enhance scalability, security, and decentralized applications. These advancements suggest growing integration of AI within blockchain ecosystems, potentially accelerating the development of smarter, more efficient crypto platforms. This trend could have significant implications for the future of AI-powered financial and data management solutions.

If MCP is the USB-C of AI agents, A2A is their Ethernet

Hacker News - AIJul 14

The article compares MCP (Multi-Agent Communication Protocol) to USB-C as a universal connector for AI agents, while positioning A2A (Agent-to-Agent) as the Ethernet enabling direct, high-speed communication between them. These emerging protocols aim to standardize and streamline interoperability among AI agents, potentially accelerating the development of complex, collaborative AI systems. This could lead to more robust and scalable AI ecosystems in the future.