Year archive
Explore the latest developments in artificial intelligence, machine learning, and AI-powered tools.
Archive
This yearly slice is only generated when the category has enough posts to be worth browsing as a standalone archive.
DeepSeek Harness is more than another model release. Here is what its open-source, plugin-first agent runtime means for developers building real coding workflows.
A transparent methodology for comparing AI model benchmarks without mixing vendor launch claims, third-party leaderboards, agent scaffolds, task difficulty, cost, and reliability.
A practical guide to AI detection evaluation that replaces detector scores alone with provenance, revision history, human review, and fair escalation rules.
A practical Claw Code usage guide for turning agent architecture into safe daily workflows with bounded tasks, permission gates, tests, checkpoints, and rollback.
EU AI Act Article 50 transparency rules start August 2, 2026. Here is what AI providers and deployers need to label, mark, review, and document.
Claw Code's public docs and parity repo reveal how an AI coding agent is assembled: runtime loop, tools, permissions, MCP connections, sessions, and plugins.
Claw Code's parity workflow offers a strong model for teams rebuilding or migrating complex agent systems without drifting into vague rewrites or cargo-cult copies.
Hooks, plugin registries, and persistent sessions are what turn an AI coding assistant into an extensible platform instead of a one-shot demo.
Claw Code's parity repo shows why modern coding agents often split responsibilities between Rust for runtime-critical paths and Python for orchestration and migration.
A coding model becomes a real agent only when tool execution, permission policy, and MCP integration are designed as one coherent system.
Official moves from OpenAI, Microsoft, Google, and Anthropic in March 2026 show the AI race shifting from pure model hype to distribution, work context, and enterprise adoption.
Announcements from NVIDIA and Anthropic between March 16 and March 17, 2026 show the AI race shifting toward long-running agents, policy runtimes, and physical-world execution.
Microsoft's Agent 365 points to a new enterprise AI battleground: a control plane for agent identity, policy, observability, and governed tool access.
Google's March 2026 Pixel Drop suggests Gemini is moving beyond chat and becoming a cross-app action layer for mobile, which may matter more than another model benchmark.
OpenAI's March 2026 GPT-5.4, Codex Windows, and Codex Security releases point to a bigger shift: the company is building a full agent stack for professional work.
A task-first guide to 2026 LLM benchmark scores for coding, math, and reasoning—covering SWE-bench, Aider, LiveCodeBench, Terminal-Bench, and model tradeoffs.
Compare AI agent tools for coding, task automation, and personal workflows, with a decision framework for Cursor, Claude Code, Copilot, Operator, Manus, Cowork, and Clawdbot.
Learn how Model Context Protocol connects AI agents to tools and data, with a practical overview of hosts, clients, servers, permissions, security controls, and implementation...