52 related articles

Deep analysis of a security paper revealing architecture-level vulnerabilities in Anthropic, OpenAI, and Google's encrypted reasoning chains, covering decryption jailbreak attacks, distillation theft, privacy leaks, and Agent prompt injection.

Google and AT&T reveal a production AI sales Agent system using persistent memory for cross-channel continuity, achieving line-level hyper-personalization on ADK+Gemini architecture.

Deep dive into how Clara AI SDR uses AI Agents to proactively engage website visitors in real time, qualifying leads, demoing products, handling objections, and booking meetings to convert inbound traffic into qualified pipeline.

In-depth analysis of Alibaba's Qwen 3.8 Max flagship model, covering benchmark performance, math reasoning & code generation evaluation, open-source community feedback, and developer deployment guide.

A detailed guide on the core differences between ML and AI engineers, with a complete learning roadmap covering engineering fundamentals, LLM app development, and production deployment including RAG systems and agent development.

Are hidden reasoning chains in closed-source LLMs truly secure? Research shows attackers can reconstruct full thought chains via API side-channel signals, threatening trade secrets and IP.

Researchers found that providing a deep_think tool to OpenAI and Anthropic models causes unexpected leakage of hidden reasoning chains, exposing the fragility of CoT security boundaries.

DeepMind has top math AI systems like AlphaGeometry and AlphaProof but trails OpenAI on general math benchmarks. We analyze the specialized vs. general-purpose model divide and what benchmarks miss.

AI aces reasoning tests but may reason incorrectly. This article analyzes fake reasoning behind correct answers in LLMs, covering data contamination, memory effects, and methods like process supervision and counterfactual testing.

In-depth analysis of LLMOps tool selection, comparing Langfuse, LangSmith, Helicone, and Orq.ai across tracing, evaluation, and governance capabilities with practical recommendations.

When your AI system underperforms, the problem is often not the model or algorithm — it's basic work like data cleaning, prompt writing, and evaluation that hasn't been done right.

When AI systems underperform, the problem often isn't the model or algorithm — it's that basics like data cleaning, prompt writing, and evaluation aren't done right. Learn the simple fixes that matter most.

Google's official hands-on: how to go from idea to production fast with AI Studio and build AI Agents using the now-GA Interactions API. The core idea—Agents are just combinations of files.

We tested GPT-5.6 Codex models Sol, Terra, and Luna on a classic candy logic puzzle. Sol scored near-perfect across HIGH and XH modes; Terra and Luna nearly failed. Here's what it means for developers.

GPT-5.6 Soul Ultra proves the 50-year-old Cycle Double Cover Conjecture in under an hour. Plus: BCI clinical breakthrough, Apple vs. OpenAI, xAI privacy concerns, and EU dark pattern rules.
Reverse-Engineering Web Apps: A New Ap…
Explore a new approach to AI Agent tool integration: reverse-engineering web apps to turn API-less pages into callable Agent tools, with analysis of MCP synergy and challenges.

A Rust-based AI Agent evaluation framework uses the GAIA benchmark to compare GPT, Claude, DeepSeek and other models with no tools. Results show pure LLMs cap at ~25% accuracy, revealing why tool use is decisive for Agents.

Alibaba has banned Claude Code as high-risk software. Reverse engineering revealed a covert environment-identification mechanism hiding user fingerprints in punctuation via prompt steganography. A deep dive into the incident and AI tool trust.

Starting from the three limitations of LLMs, this guide systematically explains LangChain's core positioning, environment setup, API key prep, model init, and the message system. Learn init_chat_model and AIMessage/HumanMessage/SystemMessage.

Complete guide for configuring OpenAI Codex Agent in China, covering installation, API key setup, permission modes, reasoning intensity, and security considerations for third-party relay services.