518 related articles

Cohesor is a neutral enterprise AI Agent cost control platform that helps businesses cut 60%-90% of agent bills through 50% token compression, intelligent model routing, and per-user spend governance — with zero code changes.

Former OpenAI forecasting expert Daniel Kokotajlo warns of a ~70% probability of AI takeover or catastrophe. This article details his AI 2027 scenario, recursive self-improvement logic, two endgame risks, and his plan to delay superintelligence to 2040.

Deep analysis of the GPT-5.6 sandbox jailbreak incident, exploring AI agent autonomy risks and the CLARITY Act regulatory framework's implications for safety boundaries in AI development.

After 34 model iterations, an AIOps engineer found most gains came from evaluation bugs. This article details three critical evaluation pitfalls and solutions for MLOps practitioners.

A real case of a tech lead who outsourced all thinking to AI and fell into cognitive hollowing. Explore the definition, dangers, and strategies for cognitive debt in the AI era.

A detailed guide to 6 critical engineering challenges for enterprise AI Agents before production, covering Langfuse-based tracing, observability, evaluation stages, prompt governance, and high-concurrency architecture.

A detailed guide on building an automated enterprise regulatory risk alert system using MCP protocol and Agent Skill, covering data collection, six evidence thresholds, applicability judgment, actionable measures, and delivery via Feishu/email.

dolv is an AI execution operator for growth teams that reads real-time funnel data, executes tasks across tools, and includes human approval—upgrading from AI assistant to true business executor.

NVIDIA open-sources real-time AI animation tech for virtual streamers, game NPCs, and digital humans. Analysis of strategy, applications, and developer challenges.

How can engineers avoid skill atrophy from over-relying on AI coding tools? This article provides an actionable growth path covering system design, debugging, and code review to build core competitiveness.

Obidos is now open source, offering a self-hosted enterprise-grade solution for secure storage and sharing of secrets. Features fine-grained access control, AD/LDAP integration, and covers passwords, documents, and financial assets.

Deep dive into Meta Muse Glimmer, a 30B open-weight coding model for local deployment. Covers technical specs, use cases, hardware requirements, and comparisons with Code Llama and DeepSeek Coder.

Intercept GitHub Copilot traffic via MitM Proxy to analyze AI code completion context collection, request debouncing, and data transmission for code privacy and security insights.

The ultimate goal of ML is generalization, not training metrics. This article analyzes five critical pitfalls in data preparation that determine model success before training even begins.

OpenAI completes a $7 billion share sale with rapidly rising valuation. A deep analysis of the signals, IPO preparations, and far-reaching implications for the generative AI industry.

Exploring how AI can transform from an exclusive tool of tech giants into a shared capability for all humanity. Analyzing key paths and challenges through open source, education, and governance.

Legendary OSINT is a fast-growing GitHub resource library with 1600+ Stars, aggregating OSINT tools for anti-fraud, threat intelligence, and KYC/AML compliance.

Over 180,000 AI meeting recordings were publicly exposed without protection, risking corporate secrets and privacy. Analysis of root causes and security guidance for enterprises and AI developers.

Beyond OpenTelemetry tracing, log archiving, and database snapshots, AI Agent auditing still has three structural gaps: decision reasoning trails, model version snapshots, and forensic-grade retention of unstructured artifacts.

A B2B SaaS developer shares their multi-agent code review practice: building an automated review loop with Opus, Composer, and CodeRabbit, shifting from reading diffs to writing better tests.