粉丝与涨粉
快照 11月3日 · 7 日榜 272 个账号可排本期浏览最高的帖子
- 1
We’re working to build the largest collection of private and public practitioner evals. Today, 31 new partners join the Specialized Intelligence Index. Compare open, closed, and specialized models on real work, weigh quality against cost, and see where training could pay off. https://fireworks.ai/specialized-intelligence-index/
- 2
Last call to apply for Fireworks: Deploy. Mon, Nov 2 in San Francisco. Teams of 2+ take open models up against a closed frontier model on a task they define. 1st place takes $10,000. Approval required and space is limited: https://bit.ly/deployx
- 3
If you care about the future of specialized open models, you can't miss the closing fireside chat at Fireworks Forge next week. @DavidSacks, Co-Chair of the President's Council of Advisors on Science & Technology, joins @GavinSBaker of @Atreidesmgmt and our CEO @lqiao for a conversation you'll want to be in the room for. If you can't make it to Fireworks Forge, don't worry, tune in to our livestream here: https://bit.ly/forgelivex
- 4
How fast is MiniMax M3.1 Flash? @VictorSuOrtiz of @MiniMax_AI and Fireworks' @sophiamyang are going live this morning at 10 AM PT to break down what's new, what it's built for, and how to use it on Fireworks today. Tune into the livestream here: https://x.com/i/broadcasts/2JQRWzVmqdQEVy
- 5
We’re working to build the largest collection of private and public practitioner evals. Today, 31 new partners join the Specialized Intelligence Index, building on the expertise of our founding partners. Compare leading models on real work and see where training could pay off. https://fireworks.ai/specialized-intelligence-index/
本周涨粉观察
全部观察每周一生成；中文区、7 日涨粉超过 1000 的账号会有条目。
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 | 8 | 70 |
| 带媒体 | 37.5% | 80% |
| 回复 | 0% | 0% |
| 平均字数 | 287 | 291 |
| 中位浏览 | 4,066 | 439 |
打法建议
只陈述相关性- 互动最好的时段是 02:00 前后（北京时间），中位浏览 5万。
- 一周里 周四 的中位浏览最高。
- 形式上 纯文字 的中位浏览更高（438 vs 552）。
- 爆款里带媒体占 37.5%、回复占 0%；日常分别是 80%、0%。
- 当前节奏约 2.3 条/天，日均浏览 2,824。
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- 图片52
- 纯文字19
- 视频7
回复占比 0% · 引用 14.1% · 带媒体 75.6%
互动最高的帖子
按浏览排序- 1
GLM 5.3 Flash is now available for training on the Serverless Training API - accessible to all, with both vision and text support. This model performs great on our benchmarks for agentic coding, document analysis, and tool use while being cost-efficient to serve. Get started today: https://docs.fireworks.ai/fine-tuning/training-api/serverless
- 2
DeepSeek V4.1 Flash is now available for training on both the Dedicated Training API and Managed Training surfaces! It's a strong base for agentic coding, terminal automation, and tool use. It's also very cost-efficient to serve. Get started today: https://docs.fireworks.ai/fine-tuning/models
- 3
Rollouts drive most of RL's compute cost. But splitting rollout and training across engines risks numerical mismatches, and in MoE models, that can even send tokens to different experts. We co-build both engines at Fireworks, so training stays fast and consistent. Learn more: https://bit.ly/4ALjga5
- 4
We’re working to build the largest collection of private and public practitioner evals. Today, 31 new partners join the Specialized Intelligence Index. Compare open, closed, and specialized models on real work, weigh quality against cost, and see where training could pay off. https://fireworks.ai/specialized-intelligence-index/
- 5
Congrats to the @Fulcrum_inc team on Echo! Final training runs were done entirely via Fireworks' serverless training API, on a Kimi K3 LoRA (rank 32). Make sure to read their writeup, which includes the "persona post-training" approach and how they landed a $4.5k total training cost.
- 6
New in Nexus: Savings See how much Fireworks open models and FireRouter are saving your team, by user and model. Plus, track your cache hit rate. Check out Nexus: https://bit.ly/4y3vrfW
- 7
Last call to apply for Fireworks: Deploy. Mon, Nov 2 in San Francisco. Teams of 2+ take open models up against a closed frontier model on a task they define. 1st place takes $10,000. Approval required and space is limited: https://bit.ly/deployx
- 8
Turns out you don't need a frontier lab budget to build a solid decision classifier. Our Head of AI Developer Education @prof_oz fine-tuned a 9B Jev-style classifier on Fireworks using plain SFT, public datasets, and two simple tricks. The full recipe is open source, so you can train your own.
- 9
https://x.com/i/article/2108789427233587200
- 10
Yes, it’s true! @dhh is speaking at Fireworks Forge sharing his new thoughts on AI coding. In a fireside chat, we'll talk controlling the AI stack and what that means for small teams building specialized intelligence. Join us Nov 3 in SF: https://bit.ly/3TxgUuB
- 11
DeepSeek V4.1 Flash 1017 runs at 1,521+ tok/s on Fireworks Ultrafast. Fast enough to ship Tetris in 11 seconds, 7x faster than Claude Opus 5.5. Join the Ultrafast waitlist: https://bit.ly/3UA0wKq
- 12
New models and agents ship every week. How do you know which ones actually work for your product? @sarahmsachs, Head of AI at @NotionHQ, makes the case for building your own evals at Forge. Nov 3, SF. Apply to attend: https://bit.ly/3TxgUuB
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。