与「Infrastructure」相关的搜索结果

3B users is the goal. It might be ambitious but the infrastructure is being built. 7,000 equities. Hundreds of crypto. A gateway to millions of on-chain assets. 9 product categories. One account. No walls. 24/7. 36h with @heyibinance. The vision is clear. The proof is growing.

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)

Announcing Discovery Loop! I am very excited to announce that, along with my longtime friends and collaborators @Sanjay_Ghemawat, @OriolVinyalsML and @quocleix, we are founding Discovery Loop (@DiscoLoopAI), a Public Benefit Corporation whose mission is to automate machine learning, science, and engineering to accelerate discoveries and progress. The four of us have worked together for 14 to 30 years, and have helped build some of the world’s most used products, infrastructure and AI models, and we’re excited to turn our attention to this ambitious endeavor. ♾ Learn more at:

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.

AI compute is going to orbit. 🚀 @SpaceX’s Starmind AI1 satellite compute payload is powered by NVIDIA Vera Rubin NVL72, bringing AI factory compute closer to the stars. The next chapter of AI infrastructure boldly goes where no AI compute has gone before.

BREAKING: SpaceX has paid Grimes County $10 million ahead of schedule under its Terafab tax agreement, a major step forward for the proposed project. • It equals nearly 40% of the county’s expected $26.5 million in property-tax revenue for all of 2026 • County leaders may use the money for infrastructure, employee pay and retention • SpaceX/Terafab representatives are scheduled for a Q&A at the August 5 Commissioners Court meeting • The broader Terafab project could eventually involve up to $119 billion in investment, as per KBTX.

BREAKING: Billionaire Whitey Basson says Elon Musk’s Starlink must launch in South Africa. 🇿🇦 He said that keeping @Starlink out of South Africa is discouraging businesspeople from investing in rural areas where there is no working communications infrastructure.

"La Grève" d’Ayn Rand raconte l’effondrement d’un pays dans lequel ceux qui produisent sont progressivement punis pour leur réussite. Les entreprises ferment, les infrastructures se dégradent, les pénuries apparaissent. Mais à chaque crise, l’État répond par davantage de contrôles, de contraintes et de redistribution. Les entreprises inefficaces sont protégées. Les plus performantes sont accusées de nuire à l’intérêt général. Les concurrents incapables d’innover utilisent le pouvoir politique pour ralentir ceux qui réussissent. Dagny Taggart dirige une compagnie ferroviaire. Elle passe son temps à réparer les erreurs de son frère, des bureaucrates et des dirigeants incapables. C’est l’une des idées centrales du livre : un système défaillant peut survivre longtemps grâce à quelques personnes compétentes qui compensent tout en silence. Hank Rearden, lui, invente un métal révolutionnaire. Au lieu d’être récompensé, il devient une cible. On veut limiter sa production, récupérer son invention et lui faire honte de sa réussite. Peu à peu, les meilleurs industriels, ingénieurs et inventeurs disparaissent. Derrière ces disparitions se trouve John Galt. Il a compris que le système ne tient que parce que ceux qu’il exploite continuent malgré tout à le faire fonctionner. Il organise donc une grève particulière : non pas celle des ouvriers, mais celle de l’intelligence, de la compétence et de la responsabilité. Les producteurs ne sabotent rien. Ils cessent simplement de réparer, d’inventer et de porter un monde qui les condamne tout en dépendant entièrement d’eux. Le titre original, « Atlas Shrugged », résume le livre. Atlas porte le monde sur ses épaules. Ayn Rand pose une question : que se passe-t-il si Atlas décide de hausser les épaules et de laisser tomber le monde ? Le pouvoir finit par vouloir tout figer : les entreprises ne peuvent plus fermer, les salariés ne peuvent plus partir, les prix sont bloqués, les brevets saisis. Mais on peut saisir une usine sans savoir la faire fonctionner. On peut confisquer une invention sans être capable d’en créer une nouvelle. On peut imposer l’obéissance. On ne peut pas imposer l’intelligence. C’est ce que raconte "La Grève". Une société peut longtemps mépriser ceux qui la font fonctionner. Mais elle ne peut pas survivre lorsqu’ils décident de ne plus la porter.

DeepSeek-V4-Flash-DSpark has now completed the r0b0bench core-subset protocol on 2× NVIDIA GB10. ⚡ Quality • GSM8K: 95.0% • HumanEval pass@1: 90.9% • ARC-Easy: 96.0% • IFEval lightweight: 79.5% • BFCL multi-turn: 75.5% Performance • Dedicated C1 decode: 79.2 tok/s • Aggregate output throughput: C1 86.9 · C2 145.9 · C4 239.3 · C6 337.8 tok/s • TTFT mean: 221.9 ms • ITL mean: 68.9 ms Long context Needle retrieval passed at 25%, 50%, and 90% depth across a full 1,048,576-token context. ✅ 0 infrastructure errors ✅ Runtime gate passed ✅ 5/5 canaries passed ✅ Package-backed, reproducible result freeze ✅ Valid for publication These are measured results—not projected capabilities or marketing claims.

Teams spend months aggregating the best markets on one network. The best quotes under one roof… but a lot of work. Do they want to replicate that work for the next network… and the next? Instead of building per-network infrastructure, try the SODAX SDK next time.