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[📸] #CHAEYEON_pic# └ 📍#WManagement# in 쑤저우 오늘도 채리쉬들의 사랑으로🍒❤️ 행복한 마음 가득 안고 가요! (๑╹ω╹๑ ) #이채연# #LEECHAEYEON#

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.

"Almost every team in baseball, with good management and a little bit of luck, can contend [for a title], at least for a period of time." @realbobcostas breaks down what separates MLB's best franchises ⚾️

Grok Build just got another meaningful upgrade, bringing permanent session deletion, smarter diagnostics, better keyboard guidance, and stronger reliability across session management, background tasks, and compaction Release Notes: v0.2.118 Features: • Sessions can now be permanently deleted from the dashboard by pressing Ctrl+X twice on an idle row, or from the welcome list with d then y. • Keyboard shortcuts help (Ctrl+.) now shows how to browse prompt history and search the conversation. • grok doctor now warns when tmux is reducing colors and can fix the config. Bug Fixes: • /btw now retries on temporary model overload instead of failing immediately. • Session sharing is temporarily disabled. • [stop] / Ctrl+C during /compact now cancels instead of no-opping. • Automatic recaps no longer appear twice after the same turn. • Background task wait timeout descriptions and limits now match the client's actual configured ceiling. • Background tasks no longer stay stuck as 'Running' in the tasks pane when they finish quickly. • Plan mode indicator now disappears right after approving a plan instead of lingering. • Dragging the scrollbar in the plan preview now works as expected. • Compaction now correctly handles certain context-length errors from the inference API.

Watch the full recording of our Q2 2026 earnings call. Prepared Remarks 00:00:00 - Welcome 00:01:20 - 843,775 BTC, 203,683 sats per share, $17B raised year to date, and Strategy’s position as the largest institutional holder of Bitcoin 00:03:27 - Q2 balance sheet: $49.7B of digital assets, $3.75B current USD reserve, lower debt, higher preferred equity, and strong stress-case coverage 00:08:57 - Bitcoin KPIs: 4.5% BTC Yield, 29,997 BTC Gain, and ~3.6x growth in Bitcoin per share since 2020 00:12:47 - Q2 execution: higher Bitcoin holdings, lower debt, larger USD reserves, stronger Bitcoin per share, and active capital management 00:15:03 - Strategy as a net buyer of Bitcoin and net issuer of Digital Credit: 48x more BTC bought than sold and 300x more Digital Credit issued than repurchased 00:18:47 - Returning $STRC to $99–$100 through USD reserves, Bitcoin monetization, repurchases, dividend management, and disciplined issuance 00:24:50 - Bitcoin liquidity: why Strategy’s bitcoin purchases and sales are not material to overall Bitcoin trading volume 00:33:03 - Bitcoin as Digital Capital: website metrics, the 200-week moving average, current headwinds, Bitcoin Dominance, banking adoption, and security coordination 00:44:08 - $STRC as flagship Digital Credit: liquidity, lower volatility, market depth, yield, investor base, path to par, and updated credit metrics 01:05:04 - Equity framework: hurdle rate, breakeven rate, floor rate, market skepticism, $MSTR outperformance, franchise advantages, and Strategy’s long-term ambition Q&A 01:19:31 - Why Bitcoin-backed borrowing is not currently the preferred path to build USD reserves 01:23:11 - Why Strategy is consolidating around $STRC instead of creating more instruments or selling volatility 01:40:37 - Equitizing, repaying, or refinancing convertible debt 01:43:18 - Covered calls, cash-secured puts, Digital Credit, Bitcoin as money, and marketing products to the 99% outside Bitcoin 01:59:22 - USD reserve minimums and the path to $STRC trading at par 02:00:55 - Amplification, USD/BTC reserve mix, and countercyclical capital management 02:12:04 - Why Strategy does not intend to issue $STRC below par 02:20:34 - Lessons from 2022 and 2026, tokenized securities, Digital Money, and the June 26 dislocation 02:34:54 - Closing remarks

How can you best manage difficult-to-treat rheumatoid arthritis? Join our expert-led webinar to explore treatment and management strategies, including the need for a personalized, multidisciplinary approach.

Over the past few months, the questions we’ve heard from institutional clients have increasingly focused on collateral efficiency, cross-asset risk, liquidity, and how tokenized equities can fit into existing portfolio strategies. So our institutional team has put our thinking into this rToken playbook for cross-asset capital management. For institutions exploring how crypto and tokenized equities can work together within one capital framework, this is for you 👇

I want to clarify my position regarding BitMart's notice on 26 July 2026 concerning the orderly wind-down of its trading platform operations. On 24 July 2026 I was informed that my employment as Global CEO was being terminated and that my offboarding would begin immediately. I have not been given a confirmed final date. Since 24 July I have had no role in the management or decision-making of the company and have not been consulted on any operational matters. I was not involved in the decision announced today, not consulted on it, and not informed of it. I learned of it when it became public. My concern is for BitMart's users and its employees. Users should rely only on BitMart's official channels regarding their accounts, and should read the official notice and act on its guidance without delay. Official notice: I am grateful to the colleagues I worked alongside, and my thoughts are with them and with the users affected. I will not be commenting further on the matter at this time. 26 July 2026 Nenter Chow

On July 14, the Department of the Navy released its Strategy to Weaponize Data and AI: a roadmap to an AI-first Fleet that can "out-learn and out-fight any adversary." Within a week, our team answered with working code. The Navy's new strategy frames data and AI as warfighting assets on par with weapons and munitions, and it prizes one thing above all: turning information into decisions, fast. That is exactly the problem our GURU architecture was built for. So when two Navy SBIR topics called for AI-driven maritime tracking and adaptive sensor management, we pointed at the sea what we had already proven in orbit. The video below shows both prototypes, back to back. First, GURU MarineGuard: 787 real vessels from public NOAA data, replayed through a cascade of learned models that forecast each ship's movement, flag deviations from its learned pattern of life, and hand analysts a ranked review queue instead of an unfiltered flood. The full stack runs on a laptop. Second, an adaptive sensor resource manager add-on to MarineGuard: it measures each radar's marginal contribution to each track, projects the consequence of releasing a sensor task before proposing it, and then waits for the operator. Advisory by design. Both inherit their DNA from OrbitGuard, our system watching 14,710 space objects at the SDA TAP Lab with 94 to 96 percent maneuver-detection accuracy. Same architecture, new domain, days not years. These are prototypes, and we say so on screen. The trajectories are real. The sensor numbers are deliberately notional. No score is a threat call. Showing your assumptions is a capability, not a caveat, and national-security guidance now demands exactly that: AI that is reliable, robust, steerable, and controllable under rigorous test and evaluation. Our doctrine was written for that bar. Learned models accelerate and rank. Validated references confirm and decide. Humans stay in command. One architecture. Space, maritime, autonomous engineering, regulated nuclear autonomy. This is simply the latest sign of what this team fields, fast, where mistakes are not allowed. Sailors, engineers, program folks: what mission should GURU learn next? #DefenseTech# #ArtificialIntelligence# #MaritimeDomainAwareness#