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By analyzing Anthropic's job postings, payment partnerships, and risk-control team structure, the author reverse-engineers the risk management logic behind Claude account bans — covering anti-distillation detection, Stripe fraud controls, IP reputation, KYC verification, and more — and offers practical tips for reducing the risk of getting banned.
该论文提出 RECAP 框架，通过匹配上下文干预、执行关系预测与独立策略认证，研究长程智能体何时应保留、压缩或删除历史失败记录，在 Hunyuan-A13B 上以匹配的续跑成功率将平均提示成本降低 2.13%。
Claude账号封禁潮在国庆期间加剧，作者分析了Anthropic风控的核心逻辑（时区、WebRTC泄漏、终端代理残留等多维交叉评分），并给出四层防御方案及通过AWS Bedrock等合规渠道使用Claude的替代路径。
推文讨论 Claude 封禁来自中国大陆的访问，指出封禁的真正触发点可能是其风控系统将用户误判为使用中国护照的中国大陆人士，而非仅凭 IP 地理位置。
The author compiled 28 anti-ban lessons from the massive wave of Claude account suspensions during the National Day holiday, covering network egress, device environment, account registration and nurturing, usage content, and payment risk management. Common misconceptions are also debunked, and the author emphasizes that no method can prevent bans 100% of the time.
这篇文章讨论了通过大量API测试揭示了AI模型Jev的底层架构，并批评了当前大型模型在分类、风险控制和标注方面的误用。
Mercury Bank blocked another unauthorized charge attempt with its risk control system, prompting questions about why both incidents involved cards used in only one place.
This paper proposes a certified AI method for triaging ICU alarms into retain, suppress, or defer, providing safety guarantees in reducing false alarms while achieving high accuracy on the VTaC benchmark.
This article discusses possible reasons for the rapid consumption of Codex quotas, including IP quality issues, frequent account switching, etc., and provides methods to self-test if usage is normal.
The paper diagnoses three failure modes in per-field selective risk control for document extraction systems and introduces a validity ladder of fixes, demonstrating improvements through experiments on real-world data with frontier AI models.
SeqLLM is a framework that injects behavioral-sequence modeling into pretrained LLMs while preserving language ability, enabling joint analysis of text and behavior for high-stakes decisions. Deployed at WeChat Pay, it improves merchant screening precision from 92.0% to 97.5% and achieves state-of-the-art results on open recommendation benchmarks.
This paper introduces Opal (Opportunity-aware Policy Authorization for Laboratories), a framework that certifies whether adaptive experimentation should be enabled by precommitting to non-trivial adaptation, controlled target risk, and positive executed value after cost. It establishes an impossibility boundary and demonstrates the method on a Cell Painting dataset, achieving risk control and positive value.
In-depth review of risk control loopholes in Sequoia China (Hongshan)'s investment decisions, using cases like 虎头局渣打饼行 to reveal the due diligence failures and capital forcing caused by its 'fast, accurate, ruthless' strategy, and summarizing its strategic correction direction.
CP-Agent presents a calibrated risk-controlled approach for feedback-driven competitive programming using large language models, achieving significant improvements on benchmarks without parameter updates.
Introduces Conformal Selective Acting (CSA), a deployment-time wrapper for RLVR-trained LLMs that provides anytime-valid selective risk control on individual streams, enabling safe deployment in regulated settings without pooling or long-run averages.