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Article URL: https://huggingface.co/zai-org/GLM-5.2 Comments URL: https://news.ycombinator.com/item?id=48559385 Points: 4 # Comments: 1
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Hello HN After becoming allergic to SQL, I opened 120+ issues in Dgraph, Typedb and surrealdb looking for the perfect graphDB. None of them was built for agents nor were they the perfect fit for what we wanted to achieve: fully ditching the SQL legacy to properly model reality. So we decided to build BlitzGraph In BlitzGraph, records (units) can belong to multiple types (kinds) and evolve through time. Also polymorphic relations are first class and multiple kinds can play the same role. This des
Hey HN! I recently built halupedia - a funny site that hit 300k+ users in few weeks and #1 on hacker news. It was amazing project, which costed me $300+. Since halupedia uses a lot of AI I paid a lot for the bill, fortunately I'm fine thanks to donations and resigning from many planned features. It inspired me to built wattfare - just like BYOK it let's user bring their own AI budget to the site. It works like OAuth, user just clicks a single button, has ability to limit or revoke access for a w
Article URL: https://clayem.com Comments URL: https://news.ycombinator.com/item?id=48555985 Points: 1 # Comments: 0
Article URL: https://writethatblog.substack.com/p/dev-reaction-to-ai-blog-posts Comments URL: https://news.ycombinator.com/item?id=48555676 Points: 1 # Comments: 0
Hi HN, I'm the author of git-lrc, would appreciate some feedback from the community Last year my team started using AI coding tools more heavily, and we found ourselves generating tons of code, but spending less time looking at the stuff that's been generated. We felt like we were losing a bit of grip/understanding of what we were building. Regressions occasionally slipped through. Sometimes changes made it all the way to production only to be reverted later. We tried several AI code review tool
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Article URL: https://medium.com/@a.galecki/i-made-the-same-ai-compete-against-itself-in-seo-tasks-9f973a3ee97c Comments URL: https://news.ycombinator.com/item?id=48555245 Points: 1 # Comments: 0
Article URL: https://seedance2-mini.com/ Comments URL: https://news.ycombinator.com/item?id=48555221 Points: 1 # Comments: 0
Reading comments one by one and checking if they are in a way breaking the rules, is a boring and time taking (not individually, but because there will be lots of comments) task. We can use AI to do it faster. But, AI always makes mistakes. So do you think is it better that: We approve whatever AI approves without manual check and manually check if the comments rejected by AI are actually breaking the rules Or We manually check whatever AI approves, and use AI only to reject the bad comments? Co
Article URL: https://github.com/PujanMirani/NakshGuard Comments URL: https://news.ycombinator.com/item?id=48554990 Points: 1 # Comments: 0
Article URL: https://ethereal-agents.space/blog/launching-arxiv-scholar.html Comments URL: https://news.ycombinator.com/item?id=48554932 Points: 1 # Comments: 1
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Try Search: https://ethereal-agents.space/search.html Technical Blog: https://ethereal-agents.space/blog/launching-arxiv-scholar.h... We'd love feedback on the retrieval quality, user experience, and overall approach. Comments URL: https://news.ycombinator.com/item?id=48554802 Points: 1 # Comments: 0
Article URL: https://aws.amazon.com/about-aws/whats-new/2026/06/aws-waf-ai-traffic-monetization/ Comments URL: https://news.ycombinator.com/item?id=48554753 Points: 1 # Comments: 0
Article URL: https://discuss.huggingface.co/t/if-unsure-ask-never-guess-ai-agent-pre-execution-checklist/176632 Comments URL: https://news.ycombinator.com/item?id=48554733 Points: 1 # Comments: 0
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Article URL: https://arxiv.org/abs/2606.13241 Comments URL: https://news.ycombinator.com/item?id=48552834 Points: 2 # Comments: 0
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