Tag: human oversight
- 
		
		
		
Simon Willison’s Weblog: AI mistakes are very different from human mistakes
Source URL: https://simonwillison.net/2025/Jan/21/ai-mistakes-are-very-different-from-human-mistakes/#atom-everything Source: Simon Willison’s Weblog Title: AI mistakes are very different from human mistakes Feedly Summary: AI mistakes are very different from human mistakes An entertaining and informative read by Bruce Schneier and Nathan E. Sanders. If you want to use an AI model to help with a business problem, it’s not enough…
 - 
		
		
		
Hacker News: What I’ve learned about writing AI apps so far
Source URL: https://seldo.com/posts/what-ive-learned-about-writing-ai-apps-so-far Source: Hacker News Title: What I’ve learned about writing AI apps so far Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides insights on effectively writing AI-powered applications, specifically focusing on Large Language Models (LLMs). It offers practical advice for practitioners regarding the capabilities and limitations of LLMs, emphasizing…
 - 
		
		
		
Hacker News: Thoughts on a Month with Devin
Source URL: https://www.answer.ai/posts/2025-01-08-devin.html Source: Hacker News Title: Thoughts on a Month with Devin Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides an in-depth analysis of an AI-driven programming assistant named Devin, highlighting both its potential and failures in software development tasks. The initial successes in API interactions and documentation are contrasted…
 - 
		
		
		
Enterprise AI Trends: Why AI Agents Feel Scammy, Despite the Impressive Demos
Source URL: https://nextword.substack.com/p/why-ai-agents-feel-useless-despite Source: Enterprise AI Trends Title: Why AI Agents Feel Scammy, Despite the Impressive Demos Feedly Summary: Hint: AI Agents Are Sometimes Not the Right Tool for the Job AI Summary and Description: Yes Summary: The text discusses the evolving role of AI agents in software engineering, emphasizing the transition from human-AI collaboration…
 - 
		
		
		
Chip Huyen: Common pitfalls when building generative AI applications
Source URL: https://huyenchip.com//2025/01/16/ai-engineering-pitfalls.html Source: Chip Huyen Title: Common pitfalls when building generative AI applications Feedly Summary: As we’re still in the early days of building applications with foundation models, it’s normal to make mistakes. This is a quick note with examples of some of the most common pitfalls that I’ve seen, both from public case…
 - 
		
		
		
Slashdot: AI Slashes Google’s Code Migration Time By Half
Source URL: https://tech.slashdot.org/story/25/01/16/1810253/ai-slashes-googles-code-migration-time-by-half?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: AI Slashes Google’s Code Migration Time By Half Feedly Summary: AI Summary and Description: Yes Summary: Google has leveraged AI tools to significantly reduce the time required for large-scale software migration, cutting the process in half through the use of large language models. This innovation is particularly relevant for…
 - 
		
		
		
Hacker News: Test-Driven Development with an LLM for Fun and Profit
Source URL: https://blog.yfzhou.fyi/posts/tdd-llm/ Source: Hacker News Title: Test-Driven Development with an LLM for Fun and Profit Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the integration of AI into software development practices, particularly focusing on the use of Large Language Models (LLMs) like GitHub Copilot in Test-Driven Development (TDD). It highlights…