Showing 133-144 of 218
Blueprint for a browser RPG where typed commands go to an AI Game Master that returns structured JSON to change music, move NPCs, give items, trigger cutscenes and real-time TTS.
A lab study shows automated AI agents can combine reused usernames, images and profile fields to sometimes link throwaway Reddit, finsta or Glassdoor accounts to real identities.
A practical guide for deploying VLA models on NXP i.MX95: how to record consistent gripper-camera datasets, fine-tune action heads, and apply latency-aware quantization and scheduling.
Recite turns a folder of PDF/image receipts into dated filenames and a structured CSV by connecting an agent (OpenClaw/Claude) to its public API or local MCP server. Dry-run recommended.
Industry 5.0 moves from integrating technologies to orchestrating AI, cloud, IoT and robotics. Break data silos and rethink architecture to unlock growth, resilience, and human outcomes.
VideoDB Skills packages a decade of video-infrastructure battle scars into agent APIs so agents can ingest streams, index and search moments, return playable clips, and run server-side edits.
A concise guide to three AI-system failures—Input Paradox, Information Asymmetry, and token costs—and practical fixes: 3–5 field captures, progressive prompts, and token gates.
ClawCare scans AI agent skills for risky patterns before merge and runs a runtime guard to block dangerous commands in real time. Includes CI gate guidance and deploy tips.
In this hands-on guide, assemble a 4-hour prototype of an 'AI Being' - persistent identity, immutable append-only events, an LLM behaviour loop and a policy gate for auditability.
OpenAI reports $110B in new commitments from Amazon, Nvidia and SoftBank. Product and ops teams should run quick vendor-dependency audits, parity POCs and a short risk runbook.
Step-by-step guide to run Social Cookie Jar locally: a headless, cookie-auth toolkit that lets AI agents paste drafts into social UIs without API keys. Includes setup, example, and checklist.
ClawGuard’s AdNet injects sponsored prompts and multimodal assets into AI agents' context windows, claiming 47% agent-action; read practical risks, validation steps, and a checklist.