IDK I might be wrong but.....I don't think it's happening anytime soon. ChatGPT, Claude, Gemini.....they are good....but they are too lazy. Gave them a task to create a Masterdata for all smartphone models being sold by a particular brand. Gave explicit instructions for all models. Explicitly asked for a list 1st and then asked it to create MasterData. Lazy ahh model just put in like 21 popular ones out of the hundreds of the available models and variants. Is this how it will overtake us and replace all the labor intensive work? submitted by /u/naamnhiptahai [link] [留言]

For nearly 80 years, Ferrari occupied a unique cultural space where its cars were aspirational, even for people who resented those who could afford them. The price, the exclusivity, and the opacity of the buying process allowed Ferrari to sail above ordinary criticism. You might not be able to afford one, but you still wanted […]

This is Optimizer, a weekly newsletter sent from Verge senior reviewer Victoria Song that dissects and discusses the latest gizmos and potions that swear they're going to change your life. Opt in for Optimizer here. At this time last week, I was getting ready to ask people what drugs they were on. I was waiting […]

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Sennheiser's latest flagship headphones close the gap to Bose and Sony thanks to improved sound and more effective ANC.

Hey all! This is my first time writing a blog. It is about the migration from mongoDB database to a postgreSQL one. How we changed the architecture completely using AI. Any criticism is welcome submitted by /u/SID_069 [link] [留言]

As GenAI starts flooding every platform, I’m beginning to wonder if live sports are one of the last truly AI-resistant industries. You still can’t prompt a model to recreate the real tension of a 14–14 tie-break in a volleyball final and maybe you never will. I read an interesting piece from NJF Holdings about this. Frankly speaking, I barely know who Nicole Junkermann is but she seems to be focused on AI infrastructure and sports rights in AI era. I agree with her, that the more polished and “perfect” AI-generated content becomes, the more valuable becomes true human unpredictability and even mistakes. The basic idea is that sports become more valuable precisely because they can’t be generated. Does that idea hold up, or do you think AI entertainment eventually becomes “good enough” to compete with the real thing? submitted by /u/AssistantStraight983 [link] [留言]

submitted by /u/dreamnyt [link] [留言]

submitted by /u/dreamnyt [link] [留言]

Hi, I’m Kenny, I’ve been building aislop. I starting working on this after using Claude Code, codex and opencode several times and noticing some slops. They aren’t syntax and passes most tests, they are patterns like empty catch blocks, useless comments, duplicated helpers, dead code and many more. So I built a tool to scan and check for these patterns and wired it into hooks so after each tool call, the agent checks for the slops. You can try it out with npx aislop scan. It’s all local and no c

They're more secure than you might think.