与「token」相关的搜索结果

今天用 Kimi K3 给 CatReader 增加一广场的功能呢，其实改动量不少，包括前端后端和设计，差不多折腾了一天，上线了。Token 消耗比网传的少太多了。K3 的表现相当出色。 我觉得 Kimi 犯了一个宣传上的大问题，导致很多用户直接用 做 Coding 的事，但 Kimi App 做的是 Work 的事，用 Work 做 Coding，Token 消耗是急剧增加的。 我的 Vibe 群一堆用户用 Kimi App 而不是 Kimi Code cli 工具做编程，不烧 Token 才怪。

DeepSeek-V4-Flash can now run 2× faster locally with DSpark! ⚡️ DSpark enables V4-Flash-0731 GGUFs to generate ~1.4–2× faster with no accuracy change. DeepSeek-V4-Flash-0731 can reach at 120 tokens/s. GGUFs: Guide:

啊这。人民网发文表示，呼吁媒体、教材和高校，多用词元、智能体等中文术语，少用 Token、Agent、LLM 等英文符号，其原因是它们仅作为 AI 领域单纯符号存在，不具备汉语形音义统一的特质。

然而，事实就是，现在币圈的新项目也都很无聊。 貌似现在除了meme能玩一点之外，其他的项目，都不太好。 有alpha存在，你撸的每一个项目都得谨慎，万一它把给用户的token份额给到alpha了怎么办？ 仅存的几个没有发币，还不错的项目，又都是perps。 无聊无聊。 对了监控的网站是： 你们感兴趣可以自取。 因为这网站也只是为我一个人服务的，所以很多地方很毛坯，所以将就用哈哈哈

Bloomberg 的AI模型定价图里，DeepSeek 直接被漏掉了。 有人一开始还以为是忘了加。 结果一看价格才明白——DeepSeek V4 Flash 输入只要 $0.14 / 百万token，输出 $0.28。 放在图上，其他模型几乎都站在“死亡区”。

We tried using Meta's new Muse Code agent, but it has a bug that doesn't let it sign in from a docker container. So we did a fun experiment: Meta claims Muse Spark 1.2 was co-trained with their Muse agent harness. So we extracted instructions from their system prompt and added them to the Cline harness. TL;DR of this special prompting: - Trust source code over the user prompt, so read every call site and existing tests before starting the task - Weigh edge and error cases as heavily as the happy path - Always reproduce the bug before fixing - Don't trust the first passing test suite, and verify suspicious looking half-baked tests - Never stop at just editing, keep working until the change is verified complete. We then asked this modified harness to fix a real bug from our repo, and compared the results to the original Cline agent harness. Results: - Used 2.7x fewer tokens (19.7M → 7.2M) - Finished 2x faster (49min → 24min) - Cost 2.4x less ($7.69 → $3.25) Same Muse Spark 1.2 model, same task, only the prompting changed. Incredible how much of a performance gain Meta was able to achieve training it on these special instructions!

Time to explore August's market insights! Discover key insights on: 🔸 Rise of TradFi-Perps 🔸 bStocks Captured 1/4 of Tokenization Stock Market 🔸 Retail-Accessible Arbitrage 🔸 Equity Fund Flow Recap ...and more. Read here ⬇️

Introducing Prime Agent: A self-improving RLM harness for coding and long-running autonomous tasks. Designed to be both token-efficient and expressive through programmatic tool calling, context as a variable, multi-agent messaging, and a self-modifiable harness state.