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Sam Altman asked Elon Musk what he'd do if he were 22 again. Not "build Tesla." Not "start a rocket company." Two words: be useful That's the whole framework. It sits on two questions almost nobody asks themselves. How much better is your solution than what already exists? How many people can it actually help? Multiply the two. That's your real impact. Every company that has ever changed the planet started by solving a useful problem for a specific group. Nobody who set out to "change the world" ever did. The companies that transformed anything started by making one boring, useful thing 10x better. 22-year-olds looking for a moonshot miss the actual moonshot sitting in the boring problem next to them. Be useful. Ship it to a small group. See if they can't live without it. Repeat. What's the most important problem you think still doesn't have a real solution? Drop it in the replies.

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.

Sam Altman (CEO de OpenAI): «Ya no necesitas escribir prompts.» En solo 38 minutos explica cómo usar ChatGPT a un nivel que la mayoría de la gente ni se imagina. Es una charla que dio a estudiantes de Stanford. Un amigo me pasó la grabación anoche. Después de verla me di cuenta de que estaba aprovechando apenas el 15 % de lo que esta herramienta realmente puede hacer. Mírala completa y después lee la guía que dejo abajo sobre cómo crear un sistema que se promptea a sí mismo.

Ev sahibi, günlerdir evin altından gelen tuhaf sesler yüzünden uyuyamaz hale geldi. Merakına yenik düşüp zemini kazmaları için ustaları çağırdı. Ancak birkaç kürek darbesinden sonra ortaya çıkan manzara, evdekileri şaşkına çevirdi.