Google DeepMind has released Gemini Robotics-ER 1.6, an embodied reasoning model purpose-built for robotics. It enables robots to accurately understand spatial relationships, read analog gauges, determine task completion, and is now available to all developers through the Gemini API and Google AI Studio. What does this mean for AI-powered robotics?
This tutorial covers the five core steps of AI quantitative trading from scratch: data collection & cleaning, strategy design, backtesting, out-of-sample (OOS) validation, and deployment & monitoring. It explains three key advantages of AI over manual trading - emotional stability, processing speed, and consistency - and shares key techniques to avoid the backtest-to-live trading gap.
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.
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.
360’s security team found three critical OpenClaw vulnerabilities (CVSS up to 8.1) that let attackers bypass all tool permissions via prompt injection. 170K+ instances at risk, 340 malicious plugins on ClawHub. Here is what you need to patch now.
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.