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Our WeatherNext 2 AI model from @GoogleDeepMind and @GoogleResearch can predict tropical cyclones with an extra day of lead time. Now, we’re open sourcing the model. Published in @Nature, Google researchers demonstrate how it delivers roughly a decade's worth of weather forecasting progress in a single jump. Here's how it works:

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.

We posted our second quarter 2026 financial and operational results → Q2 highlights: - Demonstrated the power of extreme vertical integration, delivering revenue growth of 92% year-over-year across Space, Connectivity, and AI - Completed two successful Starship V3 flight tests in the past 90 days, advancing towards full and rapid reusability - Closed multiple industry-leading Cloud Services Agreements resulting in $14.1 billion of contracted sales - Announced agreement to acquire Cursor for $60 billion to accelerate the AI enterprise opportunity - Released our most powerful AI model yet with Grok 4.5 in July - Delivered 66% revenue and 79% income from operations growth year-over-year for the Connectivity segment, driven by a doubling of Starlink Subscribers and continued momentum in Enterprise & Government - Awarded over $6 billion in multi-year U.S. government contracts for Starshield As compared to the same quarter last year: - Revenues of $7.8 billion, up 92% from $4.1 billion - Net loss of $541 million, an improvement of $467 million from net loss of $1.0 billion - Adjusted EBITDA of $3.5 billion, up 191% from $1.2 billion Thank you to the SpaceX team, and all our customers and investors for a great quarter!

We posted our second quarter 2026 financial and operational results → Q2 highlights: · Demonstrated the power of extreme vertical integration, delivering revenue growth of 92% year-over-year across Space, Connectivity, and AI · Completed two successful Starship V3 flight tests in the past 90 days, advancing towards full and rapid reusability · Closed multiple industry-leading Cloud Services Agreements resulting in $14.1 billion of contracted sales · Announced agreement to acquire Cursor for $60 billion to accelerate the AI enterprise opportunity · Released our most powerful AI model yet with Grok 4.5 in July · Delivered 66% revenue and 79% income from operations growth year-over-year for the Connectivity segment, driven by a doubling of Starlink Subscribers and continued momentum in Enterprise & Government · Awarded over $6 billion in multi-year U.S. government contracts for Starshield As compared to the same quarter last year: · Revenues of $7.81 billion, up 91.9% from $4.07 billion · Net loss of $541 million, an improvement of $467 million from net loss of $1.01 billion · Adjusted EBITDA of $3.54 billion, up 191% from $1.21 billion Thank you to the SpaceX team, and all our customers and investors for a great quarter!

SpaceX is hiring exceptional engineering & skilled trades talent to build & operate the most powerful AI supercomputer clusters on & off Earth. If interested, please email 3 bullet points demonstrating evidence of exceptional ability & your resume to datacenters@spacex.com.

Chinese scientists' VR wings offer glimpse into future of embodied intelligence In a recent virtual reality (VR)-based study, a research team from Peking University in Beijing has demonstrated that the human brain can incorporate virtual wings into its body schema, offering new insights for the development of embodied intelligence technologies including brain-computer interfaces and smart exoskeletons.

Rockwool upgraded legacy motors to IE4/IE5 SynRM motors with ACS880 drives. This project demonstrates how targeted motor modernization can deliver both sustainability and financial value. 🔗