In H1 2026, Binance's AI-driven risk systems helped protect:
🛡️ 7.7M+ users
💰 US$4.64B in potential losses
Behind every number is a scam prevented, an account secured, or a fraudulent trade stopped.
Powered by AI. 🫡
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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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DeepSeek-V4-Flash-0731 debuts with an ECI of 153, comparable to GLM 5.2 and roughly midway between Opus 4.5 and Opus 4.6. It's the second strongest open-weights model available today, behind only Kimi K3.
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‼️ BREAKING: An active npm supply chain attack has compromised at least 868 packages carrying over 2 billion monthly installs with a credential-stealing worm. Shai-Hulud is back.
It started with the compromise of the GitHub account of the maintainer behind keyv, a library with roughly 127 million weekly npm downloads.
A preinstall hook fires on npm install and drops a stealer that sweeps npm, GitHub, AWS, Kubernetes and Vault secrets, and then spreads to more maintainers.
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A promise was made: access for the next generation. One account for your entire financial life.
Going behind the scenes on the road to 3 billion users!
To be continued..
This bear thinks it just hit the jackpot.
A black bear climbed out of a dumpster in Lake Harmony, Pennsylvania, dragging a trash bag behind it, only to leave most of its prizes scattered on the ground through a hole in the bag.
The moment was caught on camera by Raymond Doherty, who later said he didn't realize how unusual the bear's behavior was.
"It was almost like a person the way he climbed down."
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Avengers behind the scenes: What the actors filmed versus what we saw in theaters.