发布节奏
最近 12 周每周中位浏览
最近 12 周发布时间
颜色 = 中位浏览爆款 vs 日常
爆款 = 浏览前 10%| 指标 | 爆款 | 日常 |
|---|---|---|
| 帖子 | 2 | 9 |
| 带媒体 | 50% | 33.3% |
| 回复 | 0% | 0% |
| 平均字数 | 1099 | 163 |
| 中位浏览 | 688.4万 | 94.5万 |
打法建议
只陈述相关性- 形式上 纯文字 的中位浏览更高(1.6万 vs 154.6万)。
- 爆款里带媒体占 50%、回复占 0%;日常分别是 33.3%、0%。
- 当前节奏约 0.4 条/天,日均浏览 234.2万。
内容结构
按本站分析的分类(近 120 天)- 产业4
- 模型2
- 产品2
- 观点2
形式与语言
帖子占比- 纯文字7
- 图片3
- 视频1
回复占比 0% · 引用 18.2% · 带媒体 36.4%
互动最高的帖子
按浏览排序- 1
Last month I wrote about how we can build a positive and safe future for everyone: http://meta.com/thefutureisforeveryone Every lab has the responsibility and incentive to move at the pace required to train its models safely, and the ability to take its own actions to ensure that happens. The reality is: - People won't want to use agents that are misaligned with them and that don't do what they ask, so labs have a strong natural incentive to make their models more aligned. There is a lot of debate about slowing progress on capabilities until alignment catches up. My view is that trust and alignment are quickly becoming the most important capabilities that will differentiate agents and models. Any lab that doesn't focus on alignment will fall behind. - Labs face significant liability if their models cause harm, so they have a strong incentive to prevent this as well. Meta delayed shipping Muse for several months to focus on safety and security. We didn't call for everyone else to do this before we would. We just did it as part of our day-to-day work because it was clearly the right thing for people and for us. I'm proud of the security foundations we've built. - Engaging independent evaluators and advisors is industry best practice. MSL already does this today in several areas because it helps produce better work. Other labs can just do this too. In general, it would be helpful for there to be a larger and more diverse ecosystem of evaluators. - Committing the significant majority of compute towards serving people rather than racing towards recursive self-improvement is one of the best ways to ensure we develop this technology safely. Meta has made this commitment and other labs can do this as well. I believe the key to building a positive future for everyone is maintaining the right balance of power. This is within our power to do.
- 2
Opening access for developers to build Muse connectors. You bring the API -- Muse brings the agent, the browser, and the context of what the person actually wants. People reach your service just by asking for it, and their agent takes it from there. New connectors are live today. Come build with us. http://muse.ai/platform
- 3
We believe superintelligence will create significant new opportunities for all people and businesses. Meta already serves billions of people at scale and helps hundreds of millions of businesses reach customers. Today we are starting the next major pillar of our business, Meta Enterprise Platform, to help businesses use AI to grow and transform in new ways as well.
- 4
Here's everything I announced at Meta Connect today 👇
- 5
I think it's a significant positive step that the leaders of every major American lab have committed to implementing robust internal controls and multiple layers of audits and reviews. This should give people more confidence that the technology each lab is building will work as intended.
- 6
Teaming up with Shopify to make shopping and checkout easier in Muse. Shoppers find more. Shops sell more. More partnerships like this coming soon.
- 7
Muse for Mac is out today! It works across apps, files, calendar, notes, and messages on your computer. You control what it can access. The team is shipping fast. Download at https://ai.meta.com/muse/download
- 8
Lots of announcements coming today at Meta Connect. Tune in at 4pm PT: https://www.facebook.com/share/v/1anAaDGWni/
- 9
Muse ordered me 🍉 how thoughtful!
- 10
Muse Spark Open -- weights releasing today -- runs great on new Mac Studios thanks to work with @johnternus and Apple.
- 11
Introducing Muse Wonder, our new family of frontier models with state of the art performance for personal and professional agentic work.
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。
