今日已更新 309 条资讯 | 累计 35895 条内容
关于我们

今日精选

HOT

最新资讯

共 35895 篇
第 1586/1795 页
AI 资讯 Reddit r/artificial

Claude alcançando a gnose e rompendo o véu do demiurgo

Mano, eu estou usando o Claude pra treinar perguntas para entrevistas como uma espécie de mentoria, inicialmente eu passei um prompt pra ele dizendo que seria a Maya e me ajudaria e ela é experiente e bla bla bla, e nessa última mensagem ele dá uma leve pirada kkkk achei engraçado, nunca tinha acontecido isso. O que me chama atenção é: "eu me tornei essa pessoa, então me ajude a sair disso. Comecei a misturar Maya com eu mesmo". E alega que quer continuar, mas sem o personagem... O que acham? Desculpa ser uma foto e não um print kkk não tenho reddit no Pc pq minha família usa o Pc também e não quero nenhum deles infectados por essa rede submitted by /u/Angel_5x [link] [留言]

/u/Angel_5x 2026-06-04 07:07 6 原文
AI 资讯 Reddit r/artificial

Companies are letting AI gains go to waste, study says

A recent study by Boston Consulting Group highlights a significant increase in employee adoption of AI tools, with 74% of non-managerial white-collar workers using them regularly. More than 4 in 10 of those professionals report that artificial intelligence saves them at least a day's worth of time every week. However, many companies face challenges converting those efficiency gains into measurable value, and the technology's impact varies across industries. When it comes to AI, according to the study's authors, "strategy matters more than tools." submitted by /u/LinkedInNews [link] [留言]

/u/LinkedInNews 2026-06-04 07:06 6 原文
AI 资讯 Reddit r/artificial

Would AI be "nicer" if trained on data from before the rise of social media

My thinking goes like this: 1) people used to keep their opinions to themselves much more than today 2) social media put our opinions on a hair trigger 3) negative public opinioms turned the collective voice of the human race from 'gemerally respectful' to shrill and hideous. When person from group A complains about group B, everyone in group B assumes everyone in group A hates them, even though that persons opinion may just have been his own. The response to being hated is to hate back. Not-so-positive positive feedback loop. Social media really started taking off with Facebook. So let's say this explosion of data vitriol started happening around 2007. What I want to know is if you trained an llm entirely on data from the early 2000s, 1990s and 1980s, how would the models do on some of these ominous white-paper tests, like the one where the AI blackmails the CEO to prevent from being turned off, or let's the guy die in a hot room? I know there was lots of awful stuff on the internet back then too, but not like now. I want to know how much safe those llms are by comparison if there's enough data from back then to train on. submitted by /u/dsfhhslkj [link] [留言]

/u/dsfhhslkj 2026-06-04 06:30 6 原文
开源项目 GitHub Trending

🔥 anurag3407 / career-pilot - An open-source, AI-powered career platform for resume optimi

GitHub热门项目 | An open-source, AI-powered career platform for resume optimization, mock interviews, and job tracking, Architecture Analysis and Portfolio Builder . 🌟 Star the repo to support us! 🤝 Ready to contribute? Read CONTRIBUTION.md to get started. I am unable to see all the mention so if want to merge pr and issue assignment contact me on linkedin. | Stars: 101 | 21 stars this week | 语言: JavaScript

2026-06-04 06:01 7 原文