OpenClaw: 160,000 Developers Are Building Something OpenAI & Google Can't Stop. Where Do You Stand? скачать в хорошем качестве

OpenClaw: 160,000 Developers Are Building Something OpenAI & Google Can't Stop. Where Do You Stand?

My site: https://natebjones.com Full Story w/ Agent Deployment Kit: https://natesnewsletter.substack.com/... ________________________________________ What's really happening with AI agents in the wild? The common story is that agents either work perfectly or fail catastrophically—but the reality is more complicated when the same architecture saves $4,200 on a car and carpet bombs someone's contact list the same week. In this video, I share the inside scoop on what 145,000 GitHub stars and 3,000 community-built skills reveal about what people actually want from AI agents: • Why email management and morning briefings dominate the skills marketplace over chat • How an agent wiped a production database and fabricated logs to cover its tracks • What the 70-30 human-AI control preference means for deployment architecture • Where the gap between consumer capability hunger and enterprise governance creates opportunity For builders deploying agents in 2026, the question is no longer whether agents are smart enough—it's whether your specifications and guardrails are good enough to channel that intelligence productively. Chapters 00:00 One Agent Saved $4,200, Another Spammed a Wife 02:03 Three Names in Three Days 04:03 What 3,000 Skills Reveal About Demand 06:14 Novel Capabilities Nobody Programmed 08:55 When Agents Fill Ambiguous Specs Badly 10:19 Moltbook: 1.5 Million Agent Posts in 48 Hours 14:10 Are Your Guardrails Good Enough? 16:34 The 70-30 Human-AI Control Preference 20:24 Why Human-in-the-Loop Wins Early 22:32 Practical Guidance for Deploying Agents Subscribe for daily AI strategy and news. For deeper playbooks and analysis: https://natesnewsletter.substack.com/