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Santiago

@svpino英文区开发者/创作者X 主页 数据 10月1日 21:35 — 11月3日 00:18
日均 5.4 条活跃 28 天带媒体 22%
帖子
182
活跃 28 天 / 跨度 34 天
中位浏览
2,103
P90 8,941 · 平均 4,651
互动率
0.5%
中位赞 9 · 最高 1,297

发布节奏

最近 12 周
09-28
10-05
10-12
10-19
10-26
11-02
柱状图,最大值 53 条

每周中位浏览

最近 12 周
09-2810-0510-1210-1910-2611-02
峰值 1.5万

发布时间

颜色 = 中位浏览
最佳时段 22:00最佳星期 周二更优形式 纯文字
036912151821
一
二
三
四
五
六
日
少多

爆款 vs 日常

爆款 = 浏览前 10%
指标爆款日常
帖子19163
带媒体47.4%19%
回复0%0%
平均字数436448
中位浏览1.7万2,012

打法建议

只陈述相关性
  • 互动最好的时段是 22:00 前后(北京时间),中位浏览 2,548。
  • 一周里 周二 的中位浏览最高。
  • 形式上 纯文字 的中位浏览更高(2,050 vs 2,105)。
  • 爆款里带媒体占 47.4%、回复占 0%;日常分别是 19%、0%。
  • 当前节奏约 5.4 条/天,日均浏览 4,651。

内容结构

按本站分析的分类(近 120 天)

还没有分类分析。

形式与语言

帖子占比
  • 纯文字142
  • 视频29
  • 图片11
英文 · 180无语言 · 2

回复占比 0% · 引用 70.9% · 带媒体 22%

互动最高的帖子

按浏览排序
  1. 1

    This is the best human-interaction model I've ever seen in action. I got early access to Tavus. I tested it. Judge for yourself.

    浏览 7.4万赞 402转 4610月2日 01:13原帖
  2. 2

    A fine-tuned model can outperform frontier models and be cheaper and faster to run. Literally, every company I've met wants this. I want you to see these results from fine-tuning Qwen3 4B on AWS. It smokes both the out-of-the-box model and Claude Sonnet 4.6.

    浏览 6.9万赞 1,297转 13310月1日 21:35原帖
  3. 3

    This pareto-26.10-preview model is pretty cool. It does something I haven't seen before: It basically combines multiple models behind one API response: 1. You send a request 2. Pareto runs several models to produce answers 3. It then evaluates the answers and selects the best 4. It returns that answer back to you You don't need to build a comparison/selection system since it's built in when you use this model. It's also cheap: $0.80/MTk in and $3.20/Mtk out. That's cheaper than Sol and 10x cheaper than Fable or Astra.

    浏览 4.7万赞 109转 810月1日 22:23原帖
  4. 4

    This is the dream job for anyone looking to become an automation engineer in AI: You'll join a team, learn its processes, and build automations for their work: 1. You'll meet with the people who are doing the work 2. You'll find and connect the systems needed to complete it 3. You'll build and validate the workflows 4. You'll teach the team how to extend what you built 5. Pick a new problem, and repeat The job: • Full-time • 2 years of experience • Working knowledge of APIs and IAM • On-site in San Francisco, New York, Austin, or Charleston • $105,000 - $170,000/year + equity

    浏览 4.4万赞 309转 1810月1日 22:07原帖
  5. 5

    We are always talking about the dark side of AI and how bad people will use it to exploit vulnerabilities everywhere. But there's always an antidote. These guys built a platform that uses agents to protect your systems from attacks: • It builds a map of your potential vulnerabilities • It looks for ways an attacker could find a path to your sensitive data • It recommends changes to protect your system

    浏览 3.4万赞 69转 3610月8日 22:59原帖
  6. 6

    It was only a matter of time before we brought the first AI and real, licensed attorneys together. This is really cool for anyone who needs a law firm: • Send a contract using Slack • Approve a flat fee • AI gathers business context • AI helps to speed up every task • A human attorney reviews everything • That same human remains responsible for the work • You get your contract back

    浏览 2.4万赞 75转 310月2日 00:12原帖
  7. 7

    I think Simulations will be huge (and it's probably the best feature of this release). Basically, this will let you simulate how your agent works across real production conversations. It will score interactions and mock anything that costs money, so you can test everything end-to-end.

    浏览 2.1万赞 46转 210月12日 23:16原帖
  8. 8

    The biggest advantage of using this is how much system-specific work it packages for you. You can use Ampersand to connect an agent to your customer's Salesforce. You configure the object and field mappings, and Ampersand applies them while handling API calls, authentication, token refreshes, and retries. If you've ever tried to deal with two different Salesforce accounts, you know how painful this is.

    浏览 1.9万赞 39转 210月7日 00:30原帖
  9. 9

    The #1 video-to-video model in the Physics-IQ Verified benchmark is finally live! (Their research preview is) Odyssey 3 Pro is a world model, and nobody beats it for physical accuracy. You can use this model to control a robot, drive a car, play a video game, or pilot a drone. • It takes visual observations from the world • Uses these observations to learn how things work • Then maps that knowledge to the system's physical controls

    浏览 1.9万赞 51转 510月9日 00:58原帖
  10. 10

    Here is a complete family of open-weight, small models for text, vision, audio, and structured decisions. They are around 2B parameters. You can easily fine-tune these models and start using them in your application.

    浏览 1.7万赞 41转 710月28日 01:26原帖
  11. 11

    You gotta try this out. Here are some fragments from my conversation with "Vanessa." It won't necessarily fool me into thinking I'm talking to a real person, but holy moly, this is the closest we've gotten, for sure.

    浏览 1.7万赞 98转 610月2日 03:26原帖
  12. 12

    This app will help you generate videos with AI, but it does something really interesting: It will keep a record of every contribution you make. ← This is important! 1. It helps you generate and edit videos. 2. It checks for potential IP issues, scanning for recognizable logos, brands, and characters. 3. It keeps track of human creative decisions and changes and separates them from everything AI does. That gives you evidence of what you contributed to the finished work, which can help support a copyright claim.

    浏览 1.5万赞 34转 210月16日 21:47原帖

点赞、转发、浏览是采集那一刻的快照,不是帖子最终数据;时间为北京时间。KPI 卡片里的同比只在账号有 8 周以上数据时显示, 否则只看近 4 周。“打法建议”只说明数据里的相关性,不代表因果。