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Ask Maps is getting an upgrade. 🔍✨ Now powered by agentic capabilities, real-time information, and Personal Intelligence, Ask Maps is transforming how you plan and move through the world.
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Megapack 3 is officially rolling off the line at our newest Megafactory in Brookshire, Texas! The factory went from groundbreaking to operation in just 16 months & has a designed capacity of 50 GWh/year dedicated to Megapack 3
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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.
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Introducing Qwen 3.8-Max, the most capable model in the Qwen family to date—scales to 2.4 trillion parameters, delivering comprehensive improvements across coding, work, research, and long-horizon tasks. Get reliable results for challenging questions and complex tasks. Try today!
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DeepSeek-V4-Flash-0731 is Ollama's fastest growing model ever in token usage. We are scaling capacity in US & Europe. On Ollama, this model runs with high performance (100tps+) and zero data retention. Your data stays yours. ollama run deepseek-v4-flash:0731-cloud
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ICYMI: our July AI recap ⬇️ 🌦️ Advanced weather forecasting with @NOAA and Google Cloud, using high-performance H4D virtual machines to run its atmospheric models, providing meteorologists with the AI capabilities needed to deliver life-saving early warnings. 💻 Introduced 3 new Gemini models — Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber — to deliver the efficiency, latency, and reliability to build AI agents at scale. 🇺🇸 Launched the Alliance for America’s Skilled Trades With BlackRock, Carhartt, and Ford to build a stronger pipeline for the skilled trades, scale evidence-based training approaches, and expand opportunities nationwide. ☁️ Rolled out AlphaEvolve, our Gemini-powered AI code-optimization agent, to help Cloud customers solve their hardest problems by automatically searching for better solutions and returning human-readable, optimized code. 🎵 Delivered significant advancements in musicality, lyrics, and vocal quality in Google Flow Music with Lyria 3.5, our newest music generation model. 📡 Launched three new FireSat satellites, expanding a global initiative led by the Earth Fire Alliance (EFA) with @GoogleResearch to help detect wildfires before they spread. 🧪 Established over 15 global bioresilience partnerships across governments, research groups, and biosecurity organizations to prevent model misuse, detect outbreaks rapidly, and deliver swift, coordinated responses in partnership with @IsomorphicLabs.
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Grok Imagine also possesses architectural capabilities.
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deepseek flash is currently having capacity issues from the unprecedented volume you may see errors - we're working on a fix
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"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.
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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.
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