与「KEY」相关的搜索结果

坦白一下，我玩交易一直是赌徒模式😅 无聊时候玩一下，每次只扔 100U，动不动就开 20 倍、50 倍，我只要没亏完就不收手，赚了才卖。 还真是从 200U 到了 800U🤣，玩法倒是摸熟了。 但说实话，全是运气。 所以我打算从头认真学一遍，K 线、指标、仓位、止损，股票也一起学，看 K 线这套东西，股票和币其实差不多。 让 AI 当教练，配着 OKX 的工具学： 1、先复盘我自己 用只读 Key 把 OKX 的 Agent Trade Kit 接进 Claude，让它拉我过去的成交记录和历史仓位。 提示词："你是我的交易教练，看完我最近 30 天的成交记录，找出我最容易亏钱的三个习惯，不要给我任何买卖建议。" 2、在真实 K 线上学指标 Agent Trade Kit 的行情模块不用登录就能用，70 多种指标，均线、RSI、MACD、布林带、ATR 都有。 每天挑一个币，让 AI 对着当天的 K 线讲：这个指标现在在说什么，什么时候它会涨会跌。 3、用模拟盘按规则练 开仓前先写好止损、单笔最多亏多少、杠杆上限，多在 OKX 模拟盘里按这套规则跑，每天让 AI 对照规则复盘。 4、看网格参数是怎么来的 OKX 网格页里的 AI 策略小助手，会按回测给激进、均衡、稳健三套参数，对比着看，能很直观地看到波动和仓位是怎么影响收益的。 学会了这一套，换到股票上也是一样的 K 线和指标。 等我先学出点东西，再来跟大家分享怎么交易，现在我还不配，hhh

Getting on-chain data shouldn’t be hard—or expensive—for agents. 🤖 xAPI × BlockPI: RPC access to 60 EVM networks, now on xAPI. 🔑 One key. 💸 $3 per million RPC calls. ⚡ Pay As You Go. No subscriptions. Build on-chain 👉

Introducing OpenDesign Go The first benchmark-curated design model plan. $8 first month—20% cheaper than OpenCode Go and Higher usage limits. Up to 300K+ calls/mo. 10 models: GPT-6 Luna, DeepSeek V4.1 Flash and more. Supports API keys. Use Go with OpenCode, Hermes and more.

OpenDesign Go is coming back soon TODAY🚀 From $8 for your first month, unlock up to $60 in monthly usage across 10+ models, including DeepSeek V4.1 Flash and GPT-6 Luna. You asked for API keys. We listened. Create in OpenDesign or bring your models to Codex, Claude Code and more.

The highest-stakes meetings run on Comu Action Pro by @ComuAI_. ✅ Transcribe hours of discussion in minutes ✅ Auto-summarize key points & decisions ✅ Extract action items — never miss a follow-up Trusted at international forums. Built for your team.

原来这就是赛博活佛的含金量！！免费用啊家人们，这得省多少token！！ DeepSeek-V4.1-Flash 最新模型，免费用两周，每天 200 次调用不限速！！ 我一开始还以为看错了，反复确认了三遍 作为一个每天都在跑 Agent 任务的人，我最头疼的事不是模型不够强，是管理成本太高 DeepSeek 一个账号、Kimi 一个账号、GLM 一个账号、Qwen 一个账号，API Key 管了五六把，每个月充值要开四五个后台，对完账才知道这个月到底在 AI 上烧了多少钱 更离谱的是，大部分平台充进去的额度根本用不完，但你不充又没法调用，等于在给每个平台交月租 后来发现了 HiLinkup @HiLinkup_AI ——一个 API Key，直接接 DeepSeek、Qwen、Kimi、GLM、Doubao、MiniMax，文本图像视频音频全覆盖 我试了一下，换个 base URL 就行，代码一行不用改，OpenAI SDK 直接兼容 响应速度很快，关键是价格——大概是官方的 1 折左右！！，没有 TPU 上限 说白了就是：以前我每个月在五六个平台上分别充钱，现在一个账户统一计费，按量走，用多少算多少 关键是它现在每天送 1500 万 token 免费额度，日常跑 Agent 任务完全够用 唯一的门槛就是首充 5 块钱激活一下，充完还送 5 块，而且充进去的钱不消耗，每天只走免费额度 对于我们这种每天都在用国产模型跑各种任务的人来说，这个事的意义不只是省钱——是终于不用当五个平台的出纳了 一个 Key 管所有模型，按任务选型，不被任何一家绑死 说实话这种聚合平台的窗口期不会太长，各家模型迟早会收紧 API 授权，能用的时候赶紧先用起来！！ 链接：

Kling 4.0 is coming this October. Kling 4.0 Flash is live now for Ultra Yearly subscribers. Kling 4.0 brings video creation to a new level of visual realism, creative control, and narrative completeness. 🎞️ Upgraded Audio & Visuals: Stable dynamic motion, high-quality stereo audio, more accurate lip sync, up to 4K resolution, and 10-bit HDR output. 🔮 Omni Reference: Richer reference options with up to 15 multi-modal references, more consistent results, and enhanced video editing. 🎥 Seamless Storytelling: Multi-keyframe control supporting up to 10 keyframes, native 30-second generation. 🌍 Diverse Possibilities: Video extension, support for multiple languages, accents, and dialects. The stage is set. You call the shots!

We recently had a user whose account was compromised. Our customer service team identified the situation quickly and froze the account. We then worked with the user to restore their original email and authenticator, helping secure the account and prevent further risk. Unfortunately, an API key that remained on the account allowed the attacker to transfer the funds before the issue could be fully contained. We are still investigating exactly what happened. But one thing is clear to us: we do not believe the user should have to bear the consequences of this incident. We immediately put together a dedicated team to handle the case, and we have fully compensated the user. We have always believed that being user-first means more than just saying it. When our users need us to step up, we will. Thank you to everyone for your trust, and especially to the user involved for giving our team the time today to work through this properly. We’ll keep learning, keep improving, and keep moving forward.

Claim: we've solved the AI slop problem (!) 💩🧹✨ Blog post: 🧵1/5 Key idea: take *expert* human writing and learn rubrics that find the gap between experts and models. Train with those rubrics. We train with RL-XAR (RL with eXpert Aligned Rubrics) & see large performance gains on writing scientific paper sections, Pulitzer prize novel continuations and high quality Wikipedia pages.