Article URL: https://www.nsf.gov/news/update-ocean-observatories-initiative Comments URL: https://news.ycombinator.com/item?id=48593093 Points: 119 # Comments: 20
来源:Hacker News · RSS 采集
Hacker News 技术资讯、AI/数字化工具、最新科技动态
Article URL: https://www.nsf.gov/news/update-ocean-observatories-initiative Comments URL: https://news.ycombinator.com/item?id=48593093 Points: 119 # Comments: 20
来源:Hacker News · RSS 采集
Article URL: https://www.theescapenewsletter.com/p/the-airpods-effect Comments URL: https://news.ycombinator.com/item?id=48592832 Points: 220 # Comments: 396
来源:Hacker News · RSS 采集
Article URL: https://www.theescapenewsletter.com/p/the-airpods-effect Comments URL: https://news.ycombinator.com/item?id=48592832 Points: 423 # Comments: 731
来源:Hacker News · RSS 采集
Article URL: https://worksinprogress.co/issue/how-abolishing-the-stakeholder-state-caused-the-industrial-revolution/ Comments URL: https://news.ycombinator.com/item?id=48592576 Points: 8 # Comments: 0
来源:Hacker News · RSS 采集
Article URL: https://blog.modelcontextprotocol.io/posts/enterprise-managed-auth/ Comments URL: https://news.ycombinator.com/item?id=48592163 Points: 223 # Comments: 80
来源:Hacker News · RSS 采集
Article URL: https://blog.modelcontextprotocol.io/posts/enterprise-managed-auth/ Comments URL: https://news.ycombinator.com/item?id=48592163 Points: 260 # Comments: 99
来源:Hacker News · RSS 采集
Article URL: https://bomwiki.com/ Comments URL: https://news.ycombinator.com/item?id=48591562 Points: 47 # Comments: 14
来源:Hacker News · RSS 采集
With more traffic moving off-web and into LLMs, I got curious about what traces we leave “in the weights”. My design partner and I built a site in the past few weeks that checks recognition across frontier and small models. It queries many of them in parallel, clusters the responses, and tells you how strongly they recognize you. Happy to answer any questions here! Comments URL: https://news.ycombinator.com/item?id=48591348 Points: 411 # Comments: 228
来源:Hacker News · RSS 采集
With more traffic moving off-web and into LLMs, I got curious about what traces we leave “in the weights”. My design partner and I built a site in the past few weeks that checks recognition across frontier and small models. It queries many of them in parallel, clusters the responses, and tells you how strongly they recognize you. Happy to answer any questions here! Comments URL: https://news.ycombinator.com/item?id=48591348 Points: 387 # Comments: 222
来源:Hacker News · RSS 采集
Article URL: https://www.jacc.org/doi/10.1016/j.jaccas.2025.104885 Comments URL: https://news.ycombinator.com/item?id=48594592 Points: 178 # Comments: 114
来源:Hacker News · RSS 采集