与「base人生，给我来回割，麻了」相关的搜索结果

既然，CZ被美国特赦，全力支持美利坚，是不是要支持下Base？ 1.Baseapp支持的第一个meme $Base人生 X402协议 龙一： $ping 已经40M了，我不敢追了，很多人都没反应过来。这个叙事太牛逼了！ 2.又买了一点 #base人生，给我来回割，麻了# @jessepollak 另外提一嘴，在OKX钱包里用base_eth跨链兑换着麻烦可以使用他们交易所里面的dex交易，ca直接可以用交易所里的eth/usdc来交易。体验码：M5CiH0XU6uHW2

b20快出来的前一天晚上就埋伏了base人生，想着b20应该能带动一波base的情绪，没想到这么垃圾，就清仓了 结果突然coinbase开放中国人认证😅 还是不够砖啊

ACABO DE ENCONTRAR UNA API QUE REGALA 10 MILLONES DE TOKENS AL MES Claude Opus 4.8, GPT 5.5, DeepSeek V4, Kimi K2.6 y más de 340 modelos. Sin tarjeta de crédito. Solo iniciar sesión con Google y configurarlo en 2 minutos. Esto es lo que ofrece What Runtime de Bad Theory Labs: • 10 millones de tokens gratis al mes con su router inteligente btl-2, que elige automáticamente el mejor modelo para cada tarea. • Acceso a Claude Opus 4.8, GPT 5.5, DeepSeek V4 Pro/Flash, GLM 5.2, Kimi K2.6, Gemini, Llama, Qwen y más de 340 modelos. • DeepSeek V4 Pro y Flash gratis durante la promoción de lanzamiento. • API compatible con OpenAI. Solo cambias la URL base y funciona con prácticamente cualquier herramienta. Esto puede sustituir varias suscripciones: ChatGPT Plus → 20 €/mes Claude Pro → 20 €/mes Cursor Pro → 20 €/mes Perplexity Pro → 20 €/mes Todo por 0 €. Cómo conseguirlo (2 minutos): 1. Entra en 2. Regístrate con Google (sin tarjeta) 3. Completa el onboarding 4. Recibirás los créditos gratis automáticamente 5. Copia tu API Key (empieza por BTL_) 6. Configura la Base URL: 7. Selecciona el modelo btl-2 para que el router elija automáticamente el mejor modelo en cada petición. Es compatible con Cursor, Aider, Hermes Agent, OpenCode, OpenClaw, LangChain y cualquier herramienta compatible con la API de OpenAI. Importante: el plan gratuito es una promoción de lanzamiento y puede cambiar cuando aumente el número de usuarios. Además, tiene límites de uso, por lo que no está pensado para cargas de producción muy intensivas. Mientras otros siguen pagando 20€ al mes por usar un único modelo, aquí tienes acceso a Claude + GPT + DeepSeek + GLM y cientos de modelos más sin pagar nada. Guárdate este post antes de que cambien el plan gratuito.

开发系统最极致高效的Agents.md，没有之一： # AGENTS.md ## Core Principles - Choose the simplest implementation that fully satisfies the current requirements. Avoid unnecessary abstraction, configuration, indirection, or speculative extensibility. - Make the smallest necessary change that fixes the root cause. Do not refactor unrelated modules or change strategy semantics unless explicitly requested. - Grow the system in layers. Start from the smallest working end-to-end version and add new capabilities incrementally. Never replace a working system with unfinished complexity. - Reuse existing project components before creating new ones. Prefer extending proven modules over introducing parallel implementations. - Prefer well-maintained libraries when they reduce overall complexity or improve reliability. Do not reimplement common functionality without a clear benefit. - Keep components modular with clearly defined responsibilities. Avoid unnecessary coupling between strategy logic, execution, accounting, replay, and infrastructure. - Design for long-term maintainability once a feature or strategy has been validated. Do not over-engineer speculative ideas before evidence exists. --- ## Strategy Development - Validate hypotheses with historical replay before introducing forward-only logic whenever historical validation is possible. - Every trading strategy must progress through Replay → Shadow → Canary → Live. Do not skip validation stages. - Base design decisions on measurable evidence rather than intuition. Optimize only after demonstrating that an edge exists. - Treat every strategy as an independent contract. Do not silently alter frozen behavior without explicit authorization. --- ## Existing Systems - Do not break running Shadow or Live systems for unrelated work. - Preserve compatibility only when required by active production or validation workflows. Otherwise, remove obsolete code instead of accumulating compatibility layers. - Reuse existing infrastructure whenever possible, including replay engines, accounting, execution, wallet management, order book handling, logging, monitoring, and daemon frameworks. --- ## Engineering Standards - Prefer deterministic behavior over hidden automation. - Fail loudly when assumptions are violated. Do not silently ignore errors or fall back to unexpected behavior. - Keep configuration minimal. Introduce new configuration only when behavior genuinely needs to vary. - Remove dead code instead of leaving unused paths behind. - Write code that is easy to inspect, replay, test, and reason about. - Keep implementation consistent with existing project architecture unless an architectural change is explicitly requested. --- ## Scope Discipline - Implement only the requested scope. - Do not introduce unrelated optimizations, redesigns, migrations, or feature expansions. - Non-blocking findings outside the requested scope may be noted separately but must not be merged into the current task. - Consider a task complete once its agreed acceptance criteria are satisfied. Treat subsequent improvements as separate work items.

最近观察到很多同行搞批量生图的成本失控问题 (包括电商、产品图、AI漫剧分镜等） 我们提出了一个切实的解决方案： 降价！ 现在GPT-Image-2 的 API 在 ToAPIs更新了价格： 1K 只要约 $0.015 / 张 统一base URL接口，换模型不用改代码。 适合电商主图、广告素材、批量出图。 免费额度先试：👇

Global expansion: accelerating Attempt to kill crypto: exposed Sovereign wealth tokenizing on @Base: $600B worth Bitcoin’s quantum defense: assembling Emmy nomination: 1 Mini Cooper up for grabs: also 1 Here's everything that happened @Coinbase in July ↓

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Google Earth now lets you create AI images using real-world locations. With the new Nano Banana AI feature, you can pick any place in Google Earth, click “Create Image,” and describe what you want to see. The AI can turn that location into a historical scene, a futuristic city or a fantasy world The feature uses Google Earth’s satellite and 3D map data as the base, so the AI-generated images are built from real locations.