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Tomorrow will be my last day at Google after 27 years, and watching it grow from 25 people to 190,000+ has been an amazing journey. Below is a note I shared with many people internally at Google today. An excerpt is: It has been an absolute pleasure to work with you and to help build some of the most widely used and impactful products of all time. As a kid, I dreamed of helping build software that would be used by many people, and Google now has thirteen products used by more than a billion people (amazing!). Our work has had a tremendous impact in the world, and I have been lucky enough to collaborate and form friendships with many colleagues that I deeply admire, respect, and enjoy. It still brings me joy every time I see people out in the world using our products to find information, handle email, translate documents, watch videos, learn new things, navigate and understand the physical world, browse the web, use their phone, run large-scale computations on our infrastructure, ride in an autonomous vehicle, or perform complex tasks with the help of our AI systems. I hope you all share this sense of joy, because it is a shared accomplishment! Thank you to all of my colleagues at Google over many years! Now I'm excited to go start @DiscoLoopAI with my longtime friends and colleagues @Sanjay_Ghemawat, @OriolVinyalsML, and @quocleix. (Updated post: slightly redacted to not have some personal info)

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.

Tron Inc. (NASDAQ: TRON) acquired 150,890 TRX tokens today at an average price of $0.3314, further increasing its TRX treasury holdings to more than 708.4 million TRX in total. The company aims to further grow its Tron DAT holdings to enhance long term shareholder value. For live update on the designated on-chain TRX treasury wallet for Tron Inc., please refer to:

Un multimillonario subió al escenario, agarró un marcador y en 42 minutos explicó cómo funciona realmente la economía. Gratis. Sin vender cursos. Sin promocionar fondos. Dibujó tres fuerzas en una pizarra blanca: crecimiento de la productividad, el ciclo de deuda a corto plazo y el ciclo de deuda a largo plazo. Con esas tres líneas explicó casi todos los crashes, recuperaciones y decisiones de tasas desde 1929. Las escuelas de negocios cobran 200.000 dólares por enseñar frameworks que él resolvió en los primeros 15 minutos. Algunos de esos modelos todavía se consideran “propiedad” en grandes bancos y él los regaló en YouTube. Lo más interesante: en 2018 ya estaba dibujando lo que después pasó en 2020. Tasas en cero. Bancos centrales sin herramientas. Impresora de dinero a toda máquina. Lo escribió en la pizarra como si estuviera leyendo el periódico del futuro. Hay gestores de carteras de primer nivel que hacen que sus analistas junior vean esta charla antes de tocar un terminal. No el material del CFA. No la formación interna. Esta. Millones de personas la han visto. Casi nadie puede nombrar las tres fuerzas que dibuja en los primeros diez minutos. Y sigue estando gratiss. Te recomiendo ver y guardarlo. ES UNA JOYA.

Yes, the rumors are true: The more powerful Notebook experience is now 100% rolled out to ALL Pro users. You might be asking... How exactly do I use it? Here are a few queries to try (ofc dependent on your sources). Hot Tip: bookmark this post! Free users too 😉 For Learning: "Create 5 quizzes of ascending difficulty focusing on a different topic from my sources" "Turn my raw lecture notes into a formatted PDF study guide complete with a 5-question practice quiz." "Add all of the URLs from this class syllabus as sources" For Business: "Calculate revenue growth across each product line and plot the trends" "Read our marketing brief, search the web for competitors, and recommend how we should tune our messaging" For Personal: "I uploaded a bunch of receipts from our kitchen renovation, make a spreadsheet to track all the work and costs" "Help me analyze this property purchase. Look up recent market performance in the neighborhood, predict trends, and make a spreadsheet to model all the data you find"

謝謝這三天所有來參加ForAver活動的大家🫶🏻 不論是很久不見的人 在TRE沒能見到面的人 還有總是為了我奔赴現場的人 真的都是因為有了這麼多很棒的你 這次的活動才能以大成功的形式圓滿結束 真的超級超級開心🌼 當然對於讓我擁有不只在日本 在海外也能活躍 以及積極創造讓我能與大家見面的機會的ForAver也除了感謝還是感謝！ 感謝你們的完美支援以及創造了這麼溫馨又歡樂的工作氣氛☺️💙 如果馬上就能再見面就好了💭 大家對我說的話語以及愛的心意都會成為我往後努力的能量！ 謝謝你們為我帶來許多的笑容！ 還有好多好多的愛！ 到能夠再次見面以前也請務必都要注意身體健康快樂唷⭐️