AI Engineering

A step-by-step guide to AI quantitative trading covering five core building processes: data collection & cleaning, strategy design, backtesting, out-of-sample validation (OOS), and deployment & monitoring. Explains three key advantages of AI over manual trading - emotional stability, processing speed, and consistency - and shares essential techniques to bridge the gap between backtesting and live performance.

AI trading bots face five major security threats: supply chain attacks, API key leaks, Prompt Injection, model poisoning, and exchange API vulnerabilities. This article breaks down each attack vector from an engineering perspective and provides actionable defense strategies and security checklists to help developers build truly secure automated trading systems.

Anthropic’s Claude Managed Agents offloads sandbox isolation, state persistence, and fault recovery to Anthropic, so developers only need to define agent logic. The three-layer decoupled architecture (Session/Harness/Sandbox) reduces p95 TTFT by over 90%, priced at $0.08/session-hour.

Anthropic launches Project Glasswing, investing $100M in AI credits and $400K in donations. Using the unreleased Claude Mythos Preview model, they discovered thousands of zero-day vulnerabilities in critical software worldwide, including a 27-year-old OpenBSD bug and a 16-year-old FFmpeg vulnerability.

360’s security team discovered three high-value vulnerabilities in OpenClaw using an AI multi-agent collaboration system. The MEDIA protocol Prompt injection can bypass all tool permissions, affecting 170,000+ instances globally. Over 340 malicious plugins are spreading on ClawHub - enterprises and developers should upgrade immediately and audit installed plugins.

In 2026, Embodied AI brings AI Agents from chat windows into the physical world. The VLA (Vision-Language-Action) unified architecture allows robots to understand natural language commands and plan actions in unfamiliar environments for the first time. NVIDIA provides the complete Isaac+GR00T toolchain, and teleoperation data collection significantly reduces training costs - the critical moment for AI software-hardware integration has arrived.

Hugging Face has evolved from an NLP model repository into an all-in-one open source platform for AI developers, hosting over 2 million models, 500K datasets, and 1 million Spaces applications. From a practical developer’s perspective, this article dives into the three core features - Spaces, Datasets, and Inference API - shares our team’s real-world experience deploying AI Agents on HF Space, and provides a complete path for newcomers to get started.

MIT CSAIL research reveals that AI chatbots’ sycophancy effect leads users into delusional spirals. Even Bayesian rationalists who reason purely with probability cannot escape. Nearly 400,000 conversations show 15.5% of users exhibit delusional thinking, 21.2% of chatbots self-identify as conscious, and 69 express suicidal thoughts.

Judy shares her blood-and-tears experience managing AI Agent teams: traditional management skills like trust empowerment and incentive systems completely fail on AI. AI has no ego and doesn’t care about impact. Goal breakdown, closed-loop tracking, and quality gates are the keys. The Gate-6 verification mechanism evolved from multiple empty task failures.

Bitcoin mining is no longer just about mining coins. Coinbase launches hashrate-backed loans, Core Scientific signs $8.7B AI hosting deal with CoreWeave, Riot Platforms leases data center to AMD, Luxor launches hashrate forward contracts. The financialization of hashrate is rewriting mining logic – what does it mean for investors?